The importance of surveys in market research cannot be understated. Surveys help businesses understand customer needs and preferences, develop new products and potential target markets, and track trends in customer behaviour. Surveys enable companies to make decisions based on hard data rather than speculation or anecdotal information by gathering data from various sources, such as customers and market experts. 

Surveys can be classified broadly into online, offline, and field surveys. Different types of surveys can be used in market research, including telephone interviews, focus groups, online polls, and mail-in surveys. Each type of survey has its unique benefits.

Online surveys include:

  • Questionnaires sent out via email or the web.
  • SMS and web surveys.
  • Interviews over the phone.
  • On-site computer-assisted surveys.

Offline surveys involve traditional paper-based surveys, personal and non-personal interviews, and telephone and in-person surveys. Field surveys include gathering data through direct observation.

Since 2011, the market research industry has undergone a massive shift with the increased adoption of mobile research, as the challenges of high cost and limited reach have been overcome. As more sophisticated technology became more accessible, combined with an increasingly widespread penetration of smartphones, the research potential of mobile became evident. With the power to gather in-the-moment insights that could not be attained by in-person, telephone, or online research, businesses have been presented with a unique opportunity to obtain actionable consumer data with creative means.

Mobile devices’ unparalleled convenience and immediacy have seen a vast increase in consumer usage, surpassing PCs, high-speed internet, and even television. It is estimated that over 92 percent of Americans possess a mobile device, and 52 percent are smartphones equipped with geolocation technology.

Market researchers now have unparalleled access to consumers. They can collect on-the-go feedback about their experience with products, services, and events in real-time rather than at a later date.

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Geofencing technology makes this access possible, creating virtual fences around specific geographic locations, from entire city blocks to individual retail stores. When a smartphone detects one of these fences being crossed, notifications such as surveys, real-time deals, or other incentives are triggered. While technical limitations exist in the accuracy of a smartphone’s location determination, researchers can still take advantage of geofencing and its corresponding insights, such as on-site quality audits, product awareness, and out-of-home advertisement effectiveness.

What are geofencing surveys?

Geofencing surveys are an example of a field survey that uses technology and geography to determine how potential customers interact with certain areas of interest. The technology allows businesses to identify potential customers within a defined area and observe how they interact with products, services, and physical locations.

Examples of geofencing surveys include:

  • Capturing foot traffic data around retail outlets.
  • Determining the movement of customers to an event.
  • Gauging response to campaigns.

These surveys can also give businesses valuable information, such as who the customers are, when and where they shop, what interests them, and which products are gaining the most attention.

What are in-person intercept surveys?

In-person intercept surveys are a form of market research in which surveys are administered in person to a large group of people. Generally conducted at stores, public spaces, and trade shows, this survey can provide valuable feedback from customers who are present at the moment. Examples of in-person intercept surveys include exit polls and customer opinion surveys.

Limitations of in-person intercept surveys. 

The drawbacks of in-person intercept surveys include:

  • High recruitment costs.
  • Data accuracy concerns due to reliance on self-report methods.
  • Limited accessibility to hard-to-reach groups.
  • Time-consuming data collection.
  • Difficulty obtaining reliable response rates.

In-person intercept surveys also require the participants to provide a large amount of personal information to complete the survey, which can cause respondents to be hesitant to answer specific questions and decrease overall survey completion rates. Additionally, it can be challenging to make the in-person surveys accessible to a wide range of populations, as location, language or even comfort level can be a factor. 

Furthermore, collecting in-person data may present potential risks of data manipulation or divulging sensitive information. All these factors should be considered when utilizing in-person intercept surveys as a research methodology.

The benefits of geofencing surveys over in-person intercept surveys.

Geo-fencing surveys are beginning to eliminate the need for in-person intercept surveys because they offer more precise and actionable data in a shorter time. Furthermore, geo-fencing surveys allow businesses to capture larger samples, covering multiple geographic locations. Brands can utilise global positioning systems (GPS), beacons, and Radio Frequency Identification (RFID) to conduct geofencing surveys.

The benefits of geofencing surveys include accuracy in measuring customers’ activities, cost savings, and increased speed in obtaining results. These surveys also provide access to granular and precise customer data that can inform a business’ decisions regarding sales, product placement, and other marketing strategies.

Here are some of the top applications of how geofencing is advancing mobile market research:

Effectiveness of Out-of-home Ads. 

With the use of geofencing, market researchers can ascertain the presence of consumers nearby and potentially exposed to out-of-home ads. By placing geofences around specified businesses, brands can more effectively evaluate the impact of advertisements by measuring the store visits of exposed individuals compared to those not exposed.

Acquiring Real-time Responses. 

Whether it’s a shopping spree at a retail store or attending a concert, getting feedback as soon as the experience happens is crucial. Geofencing permits researchers to trigger a notification as someone enters or exits an area and to invite them to answer a few inquiries while the event is still recent in their memory.

Tracking Behaviour. 

Geofencing can trace store visits, time on-site, and other significant metrics for retailers and advertisers. By merging this with other obtained data (i.e., browsing and buying activities), geofencing can help establish the actual influence of out-of-home ad exposure.

Catching shoppers at the right place. 

Aside from having the ability to select and steer consumers to a particular place proactively, researchers can intercept natural shoppers while they go about their usual consumer habits in and around retail establishments worldwide. Shoppers can be quickly included in a survey, furnishing metrics such as ease of finding a product, store ad efficiency, consumer intent to buy, and more. The information gathered within the geofence serves as a store intercept.

Field Surveys. 

As an alternative to physical field surveys, when a respondent is leaving a mall or movie theatre, with geofencing, researchers can recognise and ping respondents to take part in a specific action as soon as they leave the place, making this a much more practical solution for collecting valuable insights.

Competitor Analysis. 

By setting geofences around the locations of a firm’s rivals, researchers can gain data to understand what factors motivated someone to visit one shop rather than another. This can aid competitive analysis studies.

Avoiding Battery Drain. 

Most discussions on mobile optimisation generally focus on responsive design and tailored content. However, as brands continue to explore and invest more in mobile, ‘battery drain’ is one of the most critical problems that could make or break the experience overall, especially in the market research sector.

Any application that uses a device’s location will cause the battery to drain more rapidly. The more regularly the application searches for the location, the more battery life it will exhaust. No one is more conscious of this than the mobile carriers themselves. Recently, Verizon issued a warning to its customers about high-risk apps. We can anticipate similar notifications to grow in number as more apps involve battery-draining geolocation technology.

As firms develop research applications quickly to cater to the most recent advancements in mobile, it becomes essential to ensure quality. Before running a geofencing project, ask the technology provider what measures they have taken (if any) to preserve battery life, and personally download their app to try it out. If applications are draining batteries, this may significantly compromise the research quality. It is the responsibility of the industry to guarantee a good experience for all respondents, no matter the device.

A Richer Experience. 

Mobile market research is merging the distinctions between qualitative and quantitative methodologies. Thanks to ubiquitous cameras and microphones, most mobile devices permit customers to deliver feedback in their own words. Researchers can now generate a more immersive user experience by constructing barcode scanning, picture, video, and audio functions into their surveys. The rapid uptake of mobile applications that promote the use of cameras and photo-sharing (i.e., Instagram) proves that customers are at ease when they snap a picture for surveys, regardless of whether they’re in a store or the comfort of their home.

By merging geofencing technology with multimedia features, researchers will have real-time access to audiences. 

However, like the introduction of any new technology, researchers and project management teams need to be familiar with a respondent’s interaction and usage of a smartphone. With this understanding, they can set practical expectations, accurately target relevant audiences, and motivate higher participation rates. Ultimately, this should lead to more accurate and insightful data.

The future of geofencing surveys. 

Geofencing surveys will evolve in the future. Brands can look forward to gaining more insights about customer behaviour, targeting, and personalisation, providing more effective marketing strategies. Moreover, with more sophisticated analytics and tracking technology, geofencing surveys will continue to offer valuable and timely insights.

Ethnographic research is a qualitative research method that systematically studies social and cultural phenomena within their natural contexts. It involves observing and recording human behaviour, practices, and beliefs, often through immersion in the field, participation in activities, and in-depth interviews with participants. Ethnography aims to understand the experiences, perspectives, and culture of the people being studied.

Ethnography has origins in the early 20th century as part of the discipline of anthropology. One of its earliest forms can be traced back to the work of French anthropologist Marcel Mauss, who conducted fieldwork in the French Pacific islands in the early 1900s. However, it is widely considered that the British social anthropologist Bronisław Malinowski, who conducted fieldwork in the Trobriand Islands of Melanesia from 1915 to 1917, is the father of modern ethnography.

Ethnographic research is also known as fieldwork, cultural anthropology, or social anthropology. The method has since been used in a variety of other fields, including sociology, psychology, education, and marketing, to name a few.

Ethnography can provide insights into customers’ motivations, behaviours, attitudes, and beliefs, which can be used to inform the development of new products and services and improve the user experience. Some of the main features of ethnographic research include the following:

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  1. Observation: Ethnography typically involves observing participants in their natural settings rather than relying solely on self-reported data.
  2. Interaction: Ethnographic research often involves interacting with participants through structured interviews or informal conversations and observations.
  3. Immersion: Ethnographic researchers often immerse themselves in the culture, community, or market segment they are studying to gain a deeper understanding of the context in which the participants operate.
  4. Long-term commitment: Ethnographic research is often a long-term commitment, as researchers may need to spend several weeks or even months in the field to gain a comprehensive understanding of the culture, community, or market segment they are studying.
  5. Multimodal data collection: Ethnographic research typically involves collecting data from various sources, including observation, interviews, and artifact analysis, to gain a complete picture of the culture, community, or market segment.

How do brands use ethnographic research in their business?

Brands use ethnography to understand their target customers and their behaviour, attitudes, and beliefs. Ethnographic research provides insight into the cultural and social context in which customers live and work, allowing brands to develop products and services that meet their specific needs and preferences.

Some specific ways that brands use ethnographic research include:

  • Product development: Brands can use ethnography to understand how customers use their products in real-life settings, identify pain points and areas for improvement, and develop new products that better meet customers’ needs.
  • Customer segmentation: Ethnographic research can help brands understand their customers deeper, including their values, beliefs, and behaviours. This information can segment customers into groups with similar needs and characteristics, allowing brands to tailor their offerings and marketing efforts accordingly.
  • Brand positioning: Ethnographic research can provide insight into how customers perceive a brand and how it fits into their lives. This information can be used to develop a brand positioning strategy that resonates with customers and sets the brand apart from competitors.
  • Marketing and advertising: Brands can use ethnography to understand how customers respond to different marketing and advertising messages. This allows them to develop campaigns that effectively reach and engage with their target audience.

Ethnography can help brands achieve a range of strategic outcomes, including:

  1. Improved understanding of target audience: Ethnographic research provides a deep and nuanced understanding of the attitudes, behaviours, and experiences of target audiences, which can help brands tailor their products, services, and marketing strategies more effectively to meet the needs and desires of their customers.
  2. Better product design: By observing and understanding how target audiences use and engage with products and services, brands can identify areas for improvement and design products that better meet the needs of their customers.
  3. Enhanced brand awareness and loyalty: By demonstrating a deep understanding of target audiences and a commitment to meeting their needs, brands can build stronger relationships with customers and enhance their brand awareness and loyalty.
  4. Increased market share: By using ethnographic research to understand the needs and desires of target audiences, brands can differentiate themselves from competitors and capture a larger market share.
  5. Improved marketing strategies: By understanding the motivations and attitudes of target audiences, brands can develop more effective marketing strategies that resonate with their customers and drive greater engagement and conversion.
  6. New business opportunities: Ethnographic research can reveal new opportunities for growth and innovation by identifying untapped market segments, new customer needs, or emerging trends in the market.

What are the negatives of ethnography in market research?

While ethnographic research has many benefits, there are also some limitations and potential negatives that should be considered:

  • Time-consuming and resource-intensive: Ethnographic research often requires long periods in the field, conducting observations and interviews, which can be both time-consuming and resource-intensive.
  • Observer bias: Ethnographic researchers may bring their own biases and perspectives to the study, potentially influencing their observations and conclusions.
  • Limited generalisability: Ethnographic research provides a deep understanding of the experiences and perspectives of a particular group or culture, but it may not be possible to generalise these findings to other groups or cultures.
  • Ethical concerns: Ethnographic research often involves collecting sensitive and personal information from participants, which can raise ethical concerns around privacy and informed consent.
  • Difficult to quantify: Ethnographic research often relies on qualitative data, such as observations and interviews, which can be challenging to quantify and compare to other research methods.
  • Potential for researcher bias: The researcher’s personal experiences and preconceptions may affect their interpretation of the data.

What are the steps taken when conducting ethnographic research?

The steps involved in conducting ethnographic research can vary depending on the research question, the setting, and the research methods used, but typically include the following:

Step 1 – Defining the research question: Researchers start by defining the research question or problem they aim to address through ethnographic research.

Step 2 – Selecting the setting and participants: Researchers then select the location or environment where the research will be conducted and the participants who will be studied. This may involve identifying a community, group, or culture relevant to the research question.

Step 3 – Gaining access to the setting and participants: Researchers then need to gain access to the location and participants, which may involve establishing relationships with key individuals or organisations, obtaining permission to conduct research, and negotiating ethical considerations.

Step 4 – Conducting observations: Researchers then spend time in the field observing the activities, behaviours, and interactions of the participants, taking detailed field notes and documenting their observations.

Step 5 – Conducting in-depth interviews: In addition to observations, ethnographic research often involves conducting in-depth interviews with participants to gain a deeper understanding of their experiences and perspectives.

Step 6 – Analyzing the data: Once the data have been collected, market researchers then analyse the data to identify patterns, themes, and relationships. This may involve coding the data, identifying categories and themes, and making connections between the data and the research question.

Step 6 – Reporting the results: Finally, researchers report the results of the ethnographic research, typically in the form of a written report. This may involve presenting the findings, discussing the implications of the results, and making recommendations for future research.

What is a typical timeline for conducting ethnographic research?

The timeline for conducting ethnographic research can vary widely depending on the scope and complexity of the study, as well as the resources and funding available. However, a typical timeline for ethnographic research may look like this:

  • Planning and preparation (1-3 months): Researchers plan and prepare for the ethnographic study, including defining the research question, selecting the setting and participants, and obtaining ethical approval.
  • Data collection (3-12 months): Researchers spend time in the field collecting data through observations and in-depth interviews. This stage can last anywhere from several weeks to several months, depending on the complexity of the study.
  • Data analysis (1-3 months): Researchers analyse the data collected during the data collection stage, identifying patterns, themes, and relationships.
  • Writing and reporting (1-3 months): Researchers write the results of the ethnographic study and prepare a report.
  • Dissemination (ongoing): Researchers may present the results of the ethnographic study at conferences or workshops or share the findings with stakeholders or participants.

Some ethnographic studies may be completed in a few months, while others may take several years. The key is to plan the timeline carefully and to allocate sufficient resources and funding to ensure the study is completed effectively.

How can researchers limit research bias when conducting ethnographic research?

Overall, the goal is to be transparent and explicit about the research process, to be aware of personal biases and preconceptions, and to use multiple data sources and evidence-based methods to analyse the data. By being mindful of these strategies, researchers can increase the validity and reliability of the findings and reduce the potential for research bias in ethnographic research. There are several strategies that researchers can use to limit research bias when conducting ethnographic research, including:

  1. Triangulation: Using multiple data sources, such as observations, interviews, and documentary sources, can help reduce the influence of researcher bias and increase the credibility of the findings.
  2. Reflexivity: Researchers can be mindful of their own experiences, perspectives, and preconceptions and reflect on how these may influence their observations and interpretations. Keeping a reflexive diary or journal can be a helpful tool for this process.
  3. Member checking: Researchers can involve participants in the research process by sharing findings and seeking feedback, which can help validate the findings and reduce the influence of researcher bias.
  4. Peer review: Researchers can share their findings and methods with other experts in the field for review and critique, which can help identify and address any biases or limitations in the research.
  5. Evidence-based analysis: Researchers can use systematic, evidence-based methods to analyse the data, such as coding and categorising the data and using statistical techniques to test hypotheses.
  6. Cultural sensitivity: Researchers should be culturally sensitive when conducting ethnographic research, and be mindful of the potential influence of cultural differences on their observations and interpretations.
  7. Collaboration: Researchers can collaborate with members of the community or culture, increasing the credibility of the findings and reducing the influence of researcher bias.

Can ethnography be conducted across multiple countries, languages, and regions, or is it specific to one culture or region?

Ethnographic research can be conducted across multiple countries, languages, and regions. Many ethnographic studies are designed to be cross-cultural, looking at how different cultures or communities experience and understand similar social, cultural, or economic issues. However, conducting ethnographic research across multiple countries, languages, and regions can be challenging and requires careful planning and preparation.

Some of the main challenges of cross-cultural ethnography include the following:

  • Language barriers: Researchers may need to hire interpreters or be able to speak the language of the participants to conduct effective interviews and observations.
  • Cultural differences: Researchers need to be aware of how they may influence their observations and interpretations.
  • Logistical challenges: Conducting ethnographic research in multiple countries or regions can be logistically challenging, requiring travel, visas, and a flexible research schedule.
  • Sampling and recruitment: Recruiting participants in multiple countries or regions can be difficult and may require using different sampling strategies, such as snowball sampling or purposive sampling.

Despite these challenges, cross-cultural ethnography can be extremely valuable, providing a rich and nuanced understanding of how different cultures and communities experience and understand similar issues. To overcome these challenges, researchers should carefully plan their study, allocate sufficient resources, and be mindful of the cultural and linguistic context in which they work.

How can brands ensure they get a good sampling of respondents in an ethnographic research study?

Obtaining a good sample of participants is an essential aspect of ethnographic research, as it can affect the validity and generalisability of the findings. 

It’s important to note that different sampling methods may be appropriate for different stages of the research, and researchers may use a combination of techniques to obtain a representative sample of participants. The choice of sampling method will depend on the research question, the resources available, and the study’s goals.

Overall, obtaining a good sample of participants is essential for the validity and generalisability of the findings in ethnographic research. Researchers should carefully consider their sampling strategy, allocate sufficient resources for recruiting participants, and be transparent about their methods for recruiting and selecting participants. 

Brands can ensure they get a good sampling of participants by following these strategies:

  1. Purposeful sampling: Researchers can use purposeful sampling to select participants based on specific criteria, such as age, gender, or occupation, to obtain a sample that is representative of the population of interest.
  2. Snowball sampling: Researchers can use snowball sampling, where participants refer others who meet the criteria for participation, to recruit participants who may be difficult to reach through other means.
  3. Maximum variation sampling: Researchers can use maximum variation sampling to select participants who represent a range of perspectives and experiences within the population of interest.
  4. Theoretical sampling: Researchers can use theoretical sampling, where participants are selected based on the theory being tested, to obtain a sample representative of the studied theoretical construct.
  5. Convenience sampling: Researchers can use convenience sampling, where participants are selected because they are easily accessible, to obtain a quick and low-cost sample of participants.

What types of questions are asked during an ethnographic research study?

In ethnographic research, it’s important to observe participants in their natural environment and to use other research methods, such as participant observation and document analysis, in addition to asking questions. This allows researchers to gather a comprehensive understanding of the experiences and perspectives of participants. In an ethnographic research study, researchers typically ask various questions to understand participants’ experiences, perspectives, and behaviours. These questions may include the following:

  1. Open-ended questions: Open-ended questions, such as “What do you think about…?” or “Can you describe a typical day for you?” allow participants to express their thoughts and experiences in their own words and can provide rich and detailed information about the participant’s perspective.
  2. Probing questions: Probing questions, such as “Can you tell me more about that?” or “What makes you say that?” can encourage participants to elaborate on their answers and provide more in-depth information about their experiences.
  3. Contextual questions: Contextual questions, such as “What do you like about your neighbourhood?” or “How does your job affect your daily life?” can provide information about the participant’s context and help researchers understand how their experiences and behaviours are influenced by their environment.
  4. Direct questions: Direct questions, such as “Do you feel that…?” or “Have you experienced…?” can provide more concrete information about participants’ experiences and behaviours.
  5. Follow-up questions: Follow-up questions, such as “Why do you think that is?” or “What makes you feel that way?” can be used to explore participants’ responses further and gain a deeper understanding of their perspectives.

How do market researchers ensure they get good and relevant information from a field study or ethnographic research?

Market researchers should be mindful of the limitations and biases inherent in ethnographic research. They should strive to collect high-quality, relevant information by using a combination of research methods, carefully selecting participants, and using a structured approach to data collection. Ensuring that the information obtained from a field study or ethnographic research is robust and relevant is crucial for the study’s success. Here are some strategies that market researchers can use to achieve this:

  • Clearly define the research objective: A clear understanding of the research objective can help researchers determine the types of information they need to collect and how they can collect it.
  • Use multiple methods: Combining different research methods, such as participant observation, in-depth interviews, and document analysis, can provide a more comprehensive understanding of the phenomenon being studied.
  • Choose the right participants: Selecting participants who are representative of the population of interest and have relevant experiences and perspectives can help ensure that the information collected is relevant and valuable.
  • Develop a rapport with participants: Building a rapport with participants can help them feel more comfortable sharing their experiences and perspectives, leading to more accurate and valuable information being collected.
  • Ask open-ended questions: Asking open-ended questions that encourage participants to share their experiences and perspectives in their own words can provide valuable insights into their behaviour and experiences.
  • Use a structured approach: Using a structured approach to data collection, such as using a standardised questionnaire or following a consistent interview guide, can help ensure that the information collected is consistent and comparable across participants.
  • Consider cultural and linguistic differences: When conducting field studies or ethnographic research in multiple countries, regions, or with participants from different cultures, it’s important to be aware of cultural and linguistic differences and to adapt the research methods accordingly.
  • Triangulate data: Triangulating data, or using multiple sources of information to validate findings, can help ensure that the information collected is accurate and reliable.

How do you calculate a statistically viable sample in an ethnographic research project?

Calculating a statistically viable sample in an ethnographic research project can be challenging. The sample size required may vary depending on the research design, the population of interest, and the detail required in the analysis. 

It’s recommended that the sample size in ethnographic research projects be larger than in other types of research, as ethnographic research is often more qualitative and may not rely on statistical analysis. The sample size should also be large enough to ensure that the study results are meaningful and can be generalised to the population of interest.

In general, a statistically viable sample size in ethnographic research is typically determined based on the following factors:

  1. Representativeness: The sample size should be large enough to ensure that the participants represent the population of interest. For example, if the population of interest is a specific demographic group, the sample size should be large enough to ensure that participants from that group are adequately represented.
  2. Statistical power: The sample size should be large enough to ensure that the study results have sufficient statistical power. This means that the study has a high probability of detecting a meaningful difference between the groups being compared if one exists.
  3. Precision of estimates: The sample size should be large enough to ensure that the estimates generated from the study are precise. This means that the estimates are accurate and have a low level of variability.
  4. Type of analysis: The sample size will also depend on the type of analysis being performed. For example, suppose the study uses regression analysis to examine the relationship between two variables. In that case, a larger sample size may be required compared to a study that simply describes the distribution of a single variable.

It’s also important to note that sample size is just one aspect of determining the statistical viability of a study. Other factors, such as the quality of the data, the validity of the measurement instruments, and the rigour of the research design, also play a role in ensuring that the results of an ethnographic research study are statistically viable.

How is the information recorded in an ethnographic research project? How are respondents or participants typically remunerated?

In ethnographic research projects, the information is typically recorded in various ways, depending on the research design and the study’s goals. Here are some common methods of recording information in ethnographic research:

  • Field notes: Field notes are a written record of observations, thoughts, and insights collected during the study. They may include descriptions of the physical environment, interactions between participants, and observations about the behaviour and attitudes of participants.
  • Audio or video recordings: Audio or video recordings can provide a rich data source for ethnographic research, as they capture the nuances of participant interactions and behaviours that may be missed in written field notes.
  • Photographic records: Photographic records, such as photographs or videos, can provide a visual representation of the study environment and the behaviours and attitudes of participants.
  • Interview transcripts: Interview transcripts are a written record of the questions and answers from in-depth interviews with participants. They can provide valuable insights into participant attitudes and behaviours.

The method of remuneration used will depend on the study’s goals, the population of interest, and the resources available for the study. It’s essential for the researcher to consider the ethical implications of the chosen method of remuneration and to ensure that participants are informed of the terms of their participation before the study begins.

The way that respondents or participants are typically remunerated include the following: 

  • Cash incentives: Participants may be offered a cash incentive for participating in the study, such as a payment for their time or a gift card.
  • Non-monetary incentives: Non-monetary incentives, such as a free product or service, may be offered to participants in exchange for their participation in the study.
  • No remuneration: In some cases, participants may be willing to participate in the study without compensation.

Is ethnographic research always conducted in the field, or can it be conducted online via a conference call?

Ethnographic research can be conducted in a variety of settings, including both in the field and online. While traditional ethnographic research typically involves spending time observing and interacting with participants in the study environment, online ethnographic research is becoming increasingly popular as technology has made it easier to connect virtually with participants.

While online ethnographic research has the advantage of being able to reach a broader and more diverse range of participants, it also has some limitations compared to traditional in-person ethnographic research. For example, online ethnographic research may not capture the richness and complexity of in-person interactions and may be subject to biases and limitations of online platforms and technologies.

Online ethnographic research methods can include:

  1. Virtual observation: Researchers can observe participants in their natural online environment, such as social media platforms or online forums.
  2. Video conferencing: Researchers can conduct in-depth interviews or focus groups with participants via video conferencing platforms.
  3. Online surveys: Researchers can collect participants’ data via surveys or questionnaires.
  4. Remote observation: Researchers can use remote monitoring technologies, such as wearable devices, to collect data from participants.

In general, researchers should consider the best methods for conducting ethnographic research based on the study’s goals, the population of interest, and the resources available for the study. They may use a combination of online and in-person methods to maximise the strengths and minimise the limitations of each approach.

Once data is collected from several audiences or markets during ethnographic research, what examples of comparisons or analysis should a researcher consider?

By comparing and analyzing data from multiple audiences or markets, researchers can gain a deeper and more nuanced understanding of the market or product in question. They can make more informed decisions about product development, marketing, and sales strategies.

Once data is collected from several audiences or markets during an ethnographic research project, the researcher has a wealth of information to analyse and compare. Here are some examples of comparisons and analyses that a researcher might consider:

  • Demographic comparisons: Researchers can compare data across different demographic groups, such as age, gender, income, and education, to understand how different population segments experience the market or product in question.
  • Cultural comparisons: Researchers can compare data across different cultural groups to understand how cultural values and beliefs influence how participants experience the market or product.
  • Behavioural comparisons: Researchers can compare behaviours, such as purchasing patterns or usage habits, to understand how different groups of participants use and engage with the market or product.
  • Attitudinal comparisons: Researchers can compare attitudes, such as perceptions, beliefs, and preferences, to understand how different groups of participants feel about the market or product.
  • Geographic comparisons: Researchers can compare data across different geographic locations to understand how regional factors, such as climate, urbanisation, and access to resources, influence how participants experience the market or product.
  • Trend analysis: Researchers can analyse trends over time to understand how attitudes, behaviours, and experiences change and evolve.
  • Thematic analysis: Researchers can identify and analyse recurring themes in the data to gain a deeper understanding of participants’ underlying motivations, attitudes, and experiences.

What are the benefits of hiring a market research agency to conduct an ethnographic study?

The pros of hiring a market research agency to conduct an ethnographic research study include the following:

  1. Expertise and experience: Market research agencies have specialised expertise and experience in conducting ethnographic research, which can help ensure that the study is conducted effectively and efficiently.
  2. Objectivity: Market research agencies are independent of the brand and can provide an objective perspective on the research findings, which can be valuable for brands looking to make informed decisions about their products and services.
  3. Access to resources: Market research agencies have access to a range of resources, including research software, data analysis tools, and a large pool of participants, which can help to improve the quality and accuracy of the research findings.
  4. Cost-effectiveness: Appointing a market research agency can be more cost-effective than conducting the research in-house, as the agency can leverage its existing resources and expertise to complete the research more quickly and efficiently.
  5. Independence: By hiring a market research agency, brands can ensure that the research findings are independent and unbiased, increasing the credibility of the research results and helping build trust with stakeholders.

Social listening in market research refers to the process of monitoring and analyzing conversations and mentions of a brand or product on social media platforms. It allows companies to understand consumer sentiment, identify trends and opportunities, and track the performance of their marketing campaigns. 

Social listening is also known as social media monitoring or online reputation management. The responsibility for social listening typically falls under the purview of the marketing or customer service department within an organisation. 

Many types of brands use social listening, including consumer goods, retail, technology, and healthcare. 

The history of social listening can be traced back to the early days of social media, with the term’s first use dating back to the mid-2000s. 

Why should brands care what people are saying about them online?

Brands should care about their online reputations because what is said about them online can significantly impact their business. 

A positive online reputation can lead to increased brand awareness and customer loyalty, ultimately driving sales. On the other hand, a negative online reputation can lead to a loss of customers and harm the brand image and the bottom line.

Social listening can be a powerful tool for protecting and managing a brand’s online reputation. By monitoring what is being said about the brand on social media and other online platforms, brands can identify potential issues early on and take steps to address them before they escalate.

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One example of how brand damage could have been avoided through better social listening is the case of United Airlines. In 2017, a video of a passenger being forcibly removed from one of United’s flights went viral on social media. The incident caused a significant backlash against the airline, and the company’s stock price dropped as a result. Had United been monitoring social media more closely, they could have identified the issue and responded more quickly, potentially mitigating some of the damage to the company’s reputation.

Another example is Nestle. In 2010, Nestle was hit by a consumer boycott and negative media coverage after Greenpeace accused the company of using palm oil linked to the destruction of rainforests. Nestle’s social listening process was not robust enough to detect the issue, it took Nestle almost two weeks to respond to the crisis, which already had a considerable impact on the brand’s reputation. Had Nestle been more proactive in monitoring social media, it could have quickly identified the issue and taken steps to mitigate the damage.

What steps should be followed in social listening, and what information can be uncovered?

The steps in social listening typically include the following:

  1. Setting clear goals and objectives for the research
  2. Identifying the social media platforms and channels to be monitored
  3. Collecting and analyzing data from these platforms and channels
  4. Interpreting the data and identifying patterns and trends
  5. Taking appropriate action based on the insights gained

Social listening can uncover a wide range of information, including:

  1. Brand mentions: Social listening can help brands identify how often their brand is mentioned online and where it occurs. Brands can listen for various mentions, including their brand name, product names, or key phrases associated with their brand. This can help them understand how their brand is being talked about online and identify potential issues or opportunities.
  2. Consumer sentiment: Social listening can help brands understand consumer opinions and perceptions of their brand by identifying patterns and trends in consumer sentiment, positive, negative, or neutral. This can help them understand consumer opinions and perceptions of their brand.
  3. Competitor mentions: Brands also listen for mentions of their competitors’ names, products, and key phrases. This can help them understand the strategies and tactics that are working well for their competitors and identify areas where they can improve.
  4. Industry trends: Social listening can help brands understand the conversations and trends within their industry and identify potential opportunities. This can help them understand trends and discussions in the industry and identify potential opportunities.
  5. Campaign and promotion performance: Social listening can help brands understand how well their campaigns and promotions resonate with consumers and identify areas where they can improve.
  6. Reputation management: Social listening can help brands identify potential crisis situations and take appropriate action to address them. Brands can listen for any negative comments or complaints about their brand. This can help them identify potential crisis situations and take appropriate action to address them.
  7. Influencer and brand advocate: Social listening can help brands identify potential brand ambassadors and understand how key groups of consumers perceive their brand. This can help them identify potential brand ambassadors and understand how key groups of consumers perceive their brand.
  8. Customer feedback and complaints: Social listening can also identify customer feedback and complaints, providing valuable insights into what customers like and dislike about a brand’s products or services.
  9. Demographics: Social listening can also help brands understand who is talking about their brand, as well as their age, location, gender, and interests.
  10. Product feedback: Social listening can also give brands feedback on their products, what customers like and dislike about them, and suggestions for improvement.

What tools are available for social listening?

There are a variety of technology tools available for social listening. These include:

  1. Social media monitoring tools: These tools allow brands to track mentions of their brand and specific keywords across social media platforms. Some popular examples include Hootsuite, Sprout Social, and Buzzsumo.
  2. Sentiment analysis tools: These tools use natural language processing and machine learning algorithms to automatically classify and categorize mentions of a brand as positive, negative, or neutral. Examples include Brand24, Digimind, and Synthesio.
  3. Listening platforms: These platforms offer a comprehensive social listening solution that covers many data sources, including social media, news, and blogs. Examples include Mention, Brandwatch, and NetBase Quid.
  4. AI-based tools: These are the latest tools that use Artificial Intelligence to provide more in-depth insights, such as sentiment, emotion, and intent. Examples include Cognovi Labs, Receptiviti, and Persado.
  5. Data visualisation tools: These tools help to make sense of the large amounts of data collected by social listening tools by presenting it in a clear and easily understandable format. Examples include Tableau, QlikView, and Looker.

These tools vary in terms of features, capabilities, and pricing, and brands must choose the right one that fits their specific needs and budget. Additionally, some more advanced tools offer features such as real-time monitoring, alerts and notifications, and integration with other business systems.

Should brands use social listening on their competitors?

Brands can use social listening to monitor their competitors. By monitoring their competitors’ social media channels, they can gain insights into the strategies and tactics that work well for their competitors and identify areas where they can improve. They can also track their competitors’ product launches, promotions, and advertising campaigns and monitor for any potential crisis situations. This can help brands stay competitive and make informed decisions about their own products and marketing strategies. 

Additionally, by monitoring competitors’ social media profiles, brands can monitor their competitors’ key performance indicators and see how their performance compares to theirs.

What happens if a brand hears something negative through social listening?

If a brand hears something negative based on social listening research, it should investigate the claims to verify their accuracy. If the negative sentiment is valid, the brand should take appropriate action to address the issue. This could include issuing a public apology or statement, addressing the specific concerns raised or making changes to the product or service. They should also take steps to prevent similar issues from arising in the future.

What are the negatives of social listening?

There are several challenges that brands may face when conducting social listening, including:

  1. Data overload: With so much data available, it can be challenging to sift through and make sense of it all. This can make it difficult to identify meaningful insights and trends.
  2. Manual data interpretation: Many social listening tools require manual data interpretation, which can be time-consuming and prone to errors.
  3. Bias in data collection: Social listening tools rely on keywords and phrases to collect data, which can lead to bias in the data if not chosen carefully.
  4. Privacy concerns: Social listening can raise privacy concerns by collecting and analyzing personal information. It’s essential to comply with data privacy regulations and have a clear privacy policy.
  5. Lack of context: Social listening tools can provide a lot of data, but they may lack context. For example, a negative comment about a brand may not necessarily mean a negative sentiment towards the brand but a personal experience.
  6. Limited reach: Some social listening tools have limited reach and may only be able to capture some of the conversations about a brand or topic.
  7. Integration with other systems: Integrating social listening data with other business systems, such as CRM and marketing automation, can be challenging and require additional investment.

To overcome these challenges, brands should set clear goals and objectives, choose the right tools and platforms, and take appropriate action based on the insights gained. 

Additionally, brands should consider partnering with a professional market research agency with experience in social listening, like Kadence International, to help ensure their social listening efforts are successful. If you want Kadence International to help you understand your online reputation through social listening, please reach out, as we are more than happy to help.

At Kadence, we pride ourselves on being at the forefront of research innovation. We identify and explore how emerging technologies will reshape the research landscape- and share findings with the industry.

Our primary focus is identifying developments that will enhance the richness and depth of insights we deliver to our clients.

In recent years we have partnered with clients to pilot a range of new methodologies:

● Artificial Intelligence in qualitative research with Starbucks
● Blockchain survey sampling with Unilever
● Augmented Reality pack-testing with Asahi

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In late 2021 it was hard to avoid talk of the Metaverse, including Facebook’s repositioning to focus on virtual reality and augmented reality and the change of company name to ‘Meta’. Alongside Meta, there were vast inflows of investment into the metaverse infrastructure from tech giants such as Microsoft, Apple, and NVIDIA. At the same time, the falling cost of VR headsets made these accessible to many consumers (an Oculus Quest 2 VR headset fell to around £300).

As opportunities for customisation grew, our focus turned to the Metaverse and, specifically, a curiosity to understand whether the exciting developments present an opportunity for the research industry. To explore this, we partnered with a major US media brand.

Over the past few months, we have undertaken a comprehensive program of qualitative exercises in the Metaverse, an industry-first. Our pilot included focus groups, triads, and depth interviews.

All respondents and moderators participated using VR headsets. We tested a range of qualitative exercises (including co-creation), seeking to make the most of the tools available within the metaverse environment.

As well as assessing the quality and depth of insights gathered, we also examined the nature and quality of interactions between participants. Additionally, we investigated respondents’ ease of use and technical challenges that could inform future use.

The pilot has now concluded, and we are excited to share and discuss our groundbreaking learnings with the industry over the coming months at various conferences. 

 We will be sharing our conclusions on the following topics:

● Can we successfully harness this infrastructure to conduct qualitative research?

● What benefits does this offer over face-to-face and online methods?

● What opportunities exist for market research in the short-term and medium term?

● Will the Metaverse reshape our industry?

Please get in touch to learn more about our work in the Metaverse.

Contact Name: Rupert Sinclair, Head of Insight, UK

Email: [email protected] 

You’ve likely heard the term “agile decision making” in the business world, but what does it mean with reference to market research?

Agile market research is gathering consumer feedback quickly by utilizing technology at any point so you can discover, experiment, understand, and make decisions with more reliable and quick data. 

An agile market research methodology is a strategic approach that aims to address the continuous change in consumer behaviour and market trends as quickly as possible to deliver fast growth and improve Return On Investment (ROI). 

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Agile research is an approach to market research where feedback is collected continuously and quickly. This allows brands to test, iterate, and adapt their concepts using data and facilitates innovation. 

Brands leverage agile market research methodology to create products and messaging that resonate with consumers and have a customer-centric approach. 

Traditional Market Research vs. Agile Market Research

Traditional market research includes stages such as project kickoff, design, review, analysis, and reporting. Every step in the process has a time limit before moving on to the next phase.

On the other hand, agile market research starts small and proceeds in steps that build on the previous one. With agile market research, researchers gain more insightful consumer experience (CX) feedback faster and at a lower cost. 

Moreover, the research tasks are not time-bound, and consumers are free to respond as they like and on their own time. The seamless integration makes agile market research a shorter process, improving overall CX.

While traditional research methodology has its place in assessing customer feedback, agile market research helps move teams faster because they receive responses quickly across design stages. It also allows brands to pivot rapidly and will enable teams to act upon the data and insights quickly. That way, teams are not wasting time and effort on something that will fail when released. 

How to get the best out of your agile market research

For brands to get the most out of your agile market research, they need to be mindful of a few points detailed below:

  1. It is critical to always begin with strategy and first understand the objectives of your agile market research methodology. This will help you utilise consumer feedback and insights more effectively. 
  1. Ensure your team has the skill set for the agile research tasks that need to be done. 
  1. Utilise an efficient, fast, and user-friendly software that empowers you to conduct, analyze, and report data that supports your agile market research methodology effortlessly.

Three Ways Agile Market Research is helping brands obtain the rich insights they need

Faster Insights

The number one advantage of using agile market research is speed. Agile market research removes the friction that can slow traditional research studies to provide quick, helpful feedback that allows iterative improvement. 

With agile intelligence, brands can anticipate consumer behaviours faster and more accurately. This allows the data team to focus on more innovative efforts that help grow the organisation.

All the time spent creating a questionnaire is reduced, sampling is automated, and fieldwork is done quickly. The analysis is presented rapidly, and the process is efficient and seamless. 

Smarter Insights

Artificial Intelligence helps provide smarter insights in a fraction of the time taken by traditional research. 

Since it provides immediate data sets, agile intelligence offers brands powerful insights, answering critical questions like how to segment buyers, which products are likely to perform best, and which locations to open or close physical stores.

Greater accessibility

Another benefit of agile market research is how it makes insights more accessible. Agile market research allows results from a series of similar projects to be shared with your teams worldwide. Other team members can learn what was done and worked, which helps inform future brand decision-making. 

It democratises data and helps create seamless connections to various organisational functions, allowing for collaboration so each department can achieve its individual and overall business goals.

For example, for physical stores, marketing teams can work with real estate teams to identify areas where they should decrease or increase their presence based on store performance and other factors. 

With agile market research, brands can test concepts with a target audience, generate a prototype and get feedback, or gauge consumer response to an ad campaign much faster than if they followed the traditional research process.

Agile market research seamlessly integrates various data collection tools, offering a shorter response process and improving the overall experience. 

Agile market research helps brands invest in the right tools for decision-making to adapt quickly to market changes. It allows brands to transform data into an actual business asset. When armed with the correct data faster, brands can keep up with the speed of change.

The significant strides in Artificial Intelligence (AI) are reinventing the market research industry by addressing cost and time issues. As for the process and application, AI makes market research less labourious, faster, and more accurate. Machine Learning reduces the time to complete projects from weeks and months to hours and days. Algorithms make the job less cumbersome and more cost-effective. 

What is Text Analytics, and what are its uses?

One of the newest trends and developments in market research is Text Analytics. Text analytics is a qualitative research method used to uncover the whole story behind the data so organisations can make better, more informed decisions. It refers to the automated process of extracting and translating information, insights, patterns, and trends from large volumes of unstructured text and data. This is done through text analytics software that uses Machine Learning and Natural Language Processing (NLP) algorithms to pull valuable information and meaning from unstructured text. 

This text and data consist of open-ended feedback in text form, like emails, survey responses, product reviews, call center notes, and social media posts. 

Can you imagine how tedious and time-consuming it would be to pull information and deep insights from such voluminous, unstructured text at scale? 

Text analytics helps market researchers examine large amounts of information and data in real-time to track consumers’ sentiments and detect potential brand reputation issues before they become serious. 

Text analytics also helps diagnose product issues and provide more profound insights like identifying patterns or trends. It aids in comprehending a negative spike in the customer experience, assists in collating and interpreting customer conversations from various online sources, and helps monitor an advertising campaign’s messaging and how it is being received.

Brands increasingly use text analytics to offer actionable insights that inform sound decision-making. It also enables organisations to examine vast amounts of data at scale, increase efficiencies and reduce time, labour, and costs. 

According to Mordor, “The global text analytics market was valued at USD 5.46 billion in 2020 and is expected to reach USD 14.84 billion by 2026 at a CAGR of 17.35 percent.” 

Companies use text analysis to help improve their customer, employee, product, user, and brand experience. Many cloud-based applications use text analysis for predictive studies, cybercrime, business intelligence (BI), and fraud management, to name a few. 

The Difference Between Text Mining and Text Analysis

It is essential not to confuse text mining with text analysis as they are similar in process and methodologies but have very different applications. 

Text mining uses statistical methodologies to extract quantifiable information from unstructured text, used for applications like fraud detection and screening of job applicants. 

Text analysis has a more business and experience management focus that uses similar methodologies as text mining but uses the information to uncover trends, patterns, and sentiment to sweeten customer, product, brand, or employee experience. 

So how does text analysis measure sentiment in the absence of language and tone?

Market research companies use Natural Language Processing (NLP) to analyze sentiment from the text so they can decode the emotion, feeling, or context behind blocks of plain text. NLP uses language processing algorithms to evaluate sentiment without any bias. 

Brand and Market Research applications of Text Analytics

Text analytics is used in the field of Experience Management (XM), and it is widely used in the following four main areas:

Customer Experience 

Customer experience uses technology like Machine Learning to provide intelligence around the customer or user experience across all touchpoints. This allows brands to enhance the customer experience by making informed decisions based on the findings. 

Product Experience 

Text analysis provides feedback on the features that need improvement and those that need to be added in future updates. Product usage data and warranty information enable brands to invest in their customers’ most used and valued elements and features, reducing costs and boosting profits. 

Brand Experience 

Text analytics collates data from multiple online sources to identify conversations around the brand. It is also used to analyze how effective marketing campaigns are and how the brand messaging resonates with the target audience—other data points like campaign reach, spending, and customer acquisition impact Return On Investment (ROI). It helps measure the overall brand experience.

Employee Experience

Employee wellbeing and work-life balance issues have recently come to the forefront, and text analytics helps provide real-time reports and data around topics that concern employees. Employee attrition has always been a challenge for most organisations, and text analytics combines data around engagement scores to tackle employee attrition and boost employee retention and satisfaction. 

Armed with good text analytics software and research methodology, brands can arm themselves with the ability to identify and monitor patterns and trends over time. Text analytics helps deliver insights to build a deeper understanding to win over target audiences.

Data collection comes with a host of unique challenges, and one of the most significant considerations for researchers is the topic of ethics in market research. It is essential to think about the ethical implications of your market research — are you collecting data in the right way without infringing on other people’s right to privacy, security, and the control of their data?

Before you start your data collection work, you need to ensure everyone on the team is aligned and understands their ethical responsibilities. Failing to do this could result in legal woes, a damaged company reputation, and other serious problems.

This article will show you why ethics are so important in data collection, what you need to be aware of, and how to ensure your data collection always falls on the right side of what’s considered ethical.

What are ethics in data collection?

What exactly do we mean when we talk about ethical data collection? Let’s delve into the definition to clear any misconceptions and ensure the rest of the article makes sense.

Data collection ethics is all about the right and wrong in collecting, analysing, processing, and sharing data.

This article will focus on data collection for market research purposes. The data we’re talking about here mainly refers to the personal data of our research participants.

Ethics has been an essential consideration for as long as we’ve been collecting data. By understanding it, you can ensure that the data you collect and the research you produce is ethically sound, respects the rights of your subjects, and avoids landing you in legal trouble.

Why are ethical considerations so important for data collection?

There are several key guidelines market researchers have to follow so they can adhere to ethical norms when it comes to data collection, such as:

If you prioritise ethics, it usually results in better research.

When you care about the truth, accuracy, and minimising errors, your findings will be more reliable and lead to more valuable conclusions, benefiting your business.

If you take ethics seriously, it shows that your brand is trustworthy and has integrity.

Conversely, suppose you’re violating ethical norms with your research; this will reflect very poorly on your reputation and (among other things) make it tough to find future participants for market research.

You want to stay on the right side of the law.

Today there are more data privacy regulations than ever before, like Europe’s GDPR and California’s CCPA. Unethical data collection can lead to legal trouble and harsh financial penalties.

Guidelines: How to ensure your data collection is ethical.

Follow the guidelines detailed below to ensure your data collection is ethical.

Always obtain the proper consent.

When you collect data for market research, you’re using the personal data of your participants. When someone answers survey questions, takes part in an interview or focus group, or participates in an experiment, the data they share with you is protected by law in many jurisdictions.

From an ethical standpoint, an individual’s data is their personal property. As a result, you have to ensure you have the right to collect and use that data. Make sure to draft a consent agreement that informs your participants about your research and clearly outlines how you intend to use their data. This refers to asking for informed consent — in other words, your participants should know what they’re consenting to instead of being asked to give a blanket agreement.

In short, always get explicit consent from your research subjects before you collect or use any of their data, and always make sure they are given all the facts upfront about how you will use it. This is one area to work with an experienced legal team.

Always be clear about privacy and confidentiality.

You should be clear from the beginning about how private and confidential your participant’s data will be. For example, when publishing a market research report, will you use the names of your subjects or provide any information that could be linked back to their identity? If so, it’s essential to let them know before you collect any data.

You also need to consider technical capabilities in this area. Are your systems secure enough, or are they vulnerable to hacks and data breaches? You can still be legally punished if you lose sensitive user data due to a cyberattack in many cases.

Personally identifiable information (PII) covers many different data types, like a person’s full name, address, credit card information, or identification number.

Avoid bias.

As an experienced researcher will tell you — it’s all too easy to rig research in your favour. Wording specific questions in a certain way, focusing on some areas over others, guiding your subject in a particular direction with verbal nudges and body language — all these things can impact the result of your research.

This isn’t just unethical; it also leads to less accurate data. Pushing your research subjects towards specific answers might fulfill short-term goals, but in the long-term, it leads to a poorer understanding of your market and a shaky foundation for future research. Ensure all your moderators and researchers are aware of this and trained to avoid even subconsciously leading people in a specific direction.

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Nine ways to reduce bias in your market research

1. Minimise confirmation bias.

It’s common for teams to embark on a research project with a clear idea of what they want to discover. Maybe you want to know that all your participants love your planned products, your latest marketing campaign is destined for success, or a specific demographic is a big fan of your brand.

This can lead to confirmation bias, where researchers hone in on answers they like and gloss over ones that don’t support their favourite hypothesis, leading to skewed results that sound encouraging at first but ultimately don’t benefit the company. Be aware that your expected or desired outcome may not happen, and train your research teams to be level-headed and impartial.

2. Be aware of question order bias.

Question order bias is when the order of your questions can influence participants to give a specific answer or be more favourable to a particular idea. For example, if you ask the following questions:

  1. What do you like about the new iPhone?
  2. Can you give an example of a great tech company?

Here, the participant is already thinking about iPhones and Apple after the first question, and this could lead them to give a similar answer to question two, even if they might have said something else had the order of questions been different. Be aware of the order of your questions, and always try to word them as neutrally as possible.

3. Be transparent about your data collection methods.

When you publish your research, you should make your methodology available to anyone who wants to read it. Be clear about what data collection methods and sources you used, whom you spoke to (being careful to avoid sharing personally identifiable information), your goals, the sample size, how you selected participants, and more. This helps people check your findings’ accuracy and shows that you’re credible and professional.

If there are any limitations or anything you’re uncertain about, disclose this. Don’t state something as a clear fact when it isn’t. Certain parts of your findings might need future research to confirm them, and you should clearly state this.

4. Maintain integrity

It may seem obvious, but it’s paramount to collect data with honest intentions and hold yourself to these standards. If you collect data for reasons that might negatively impact others, this is unethical, even if your collection methods and other factors are legitimate.

Make sure the questions you ask are relevant to your research goals. Asking questions — particularly personal ones — about your subjects that don’t inform your research is unethical.

5. Don’t cause harm to your participants.

You should always identify and avoid anything in your research process that could cause harm to your subjects. This could be physical harm — for example, asking participants to sample food to which they may be allergic — or emotional trauma, like asking people to revisit uncomfortable memories or placing them in situations where they might not feel at ease.

Anything that could harm your participants in any way is unethical. Make sure they understand the process from the beginning, regularly check in on them, and be sure to disclose anything that could potentially cause problems.

6. Don’t waste people’s time.

Your participants are busy people. They don’t have vast amounts of time to dedicate to your research, and they’re helping you out by agreeing to take part. Be respectful of your participants’ time and don’t keep them waiting longer than necessary. Aim to keep your research process tightly organised and always inform people about delays and other time constraints as soon as possible.

7. Be aware of unexpected outcomes.

Even the most meticulously conducted research can sometimes have unexpected consequences. It can be deemed unlawful if individuals suffer harm due to your study.

As a result, you need to take extra care to anticipate and prevent any unexpected adverse outcomes from your research. You won’t know for sure until the study is published, but you can minimise the chances of unintended consequences by being cautious and diligent.

8. Correct errors.

It’s normal for research to contain one or two errors. In itself, that’s not unethical, nor does it necessarily mean your research isn’t valuable. However, it is imperative to correct the mistakes as quickly as possible and edit your research report to make this clear.

If you don’t correct errors when you become aware of them, this is unethical as you’re knowingly publishing misleading information.

9. Work with an experienced research team.

The best way to ensure your data collection is ethical is to work with a team of experts. Research professionals understand the ins and outs of data ethics, and they know what to do and what to avoid. They also have an in-depth and current understanding of the legal aspects of market research. At Kadence, we have years of experience helping companies worldwide conduct market research, and ethics is always a priority. Get in touch with us to find out more.

Many reputed brands have made costly and avoidable mistakes by not including diversity and inclusion in their product testing and market research. These mistakes usually lead to a backlash from customers and the media, eventually becoming a PR nightmare.

So how can companies prevent this from happening? By ensuring their products and campaigns are diverse, brands can avoid costly mistakes in the first place —and it all starts with diversity and inclusion in market research.

This is because you typically want to hear from as wide a range of people as possible. You want to cast the net wide, gathering ideas from the social, economic, ethnic, and cultural spectrum, helping you gain a rich and complete picture of your market.

However, developing a product or service used by many isn’t always easy. It begins with inclusive research and reaching out to those typically marginalised. When brands consider diversity in gender, sexual orientation, backgrounds, religions, and disabilities, they can create products that work for everyone. This allows brands to craft compelling messages that resonate with their target markets.

Many organisations find it hard to ensure their research is diverse, focusing too much on specific demographics and groups. The result is skewed research with incomplete results, leading to inaccurate conclusions and ultimately harming your growth as a company.

It is somewhat easy to conduct a quantitative research survey asking for a sample of age groups or household income. But if the data comes back skewed heavily to a particular ethnicity, sexual orientation, or gender, it will not be a true reflection of society, which leads to flawed and inaccurate research.

Just how widespread is this lack of diversity? Is it limited to a handful of companies, or is it endemic in market research? In this article, we’ll look at the issue of diversity in market research and how companies can take steps to tackle it and promote more inclusive research methods.

Why is diversity important in market research?

Diversity and inclusion are essential in market research because they allow brands to factor in everyone’s voice and opinions instead of just a homogenous sample. This helps them drive growth and increase usage within their target markets. Furthermore, consumers are very savvy and expect diversity and inclusion in brands. They expect brands to show the diversity and live it through company policy and operations.

Here’s how diversity in market research helps brands create and drive successful brands:

  • It allows you to gather various opinions and perspectives, leading to more valuable insights about your market, company, and products.
  • It helps you connect and communicate with different groups more effectively, improving your marketing and expanding your reach.
  • More diverse research can lead to a broader range of new products and services ideas.
  • It signals that your brand is interested in hearing from a diverse range of people and does not lack cultural and diversity awareness.

Is there a lack of diversity in market research?

While the market research industry has come a long way in recent years when it comes to diversity, there is still clearly substantial work to be done.

While we have seen many strides in representing diversity in advertising, it is still questionable when it comes to authenticity. Market research companies need to look inward first to be fully diverse and inclusive.

3 Ways Market Research is Falling Behind with Diversity

1. Accurate identification.

A study for the Alliance for Inclusive and Multicultural Marketing (AIMM) found that Caucasians were adequately and accurately identified 68 percent of the time in large digital datasets used for target marketing. However, that figure was only 49 percent for Hispanics, for African Americans just 28 percent, and for Asian Americans, 24 percent.

This is a failure on the part of data collection. Researchers need to be more stringent about the data collection sources, their standards for data quality, and the criteria they rely on for every demographic.

2. Market research teams are often too homogenous.

Marketing as an industry is not diverse at all. Looking at the 2020 Marketing Week’s Career and Salary Survey, we can see that 88 percent of people in the marketing industry identify as ‘Caucasian/White,’ compared to just 5 percent ‘Asian,’ 4 percent as ‘Mixed Race,’ and just 2 percent as ‘Black.’

Furthermore, a lack of diversity in senior positions is stifling business and creativity in this industry. According to the same report, of all senior roles (defined as senior managers to a partner or owner), 38.3 percent of marketers are Caucasian, and 49.5 percent are male.

This lack of diversity in market research will likely increase the dangers of underrepresenting certain cultures and ethnicities. Research participants may be less likely to share certain information with someone of a different background. Moderators, for instance, may also miss specific cultural contexts, and research questions may be inadvertently designed to confuse or exclude other ethnic groups.

Hiring more diverse teams and promoting market research as a potential career for people of all backgrounds can help companies conduct more accurate, valuable, and inclusive research that yields better insights.

3. People worry about inaccurate representation.

A U.S. 2019 report by Adobe found that 66 percent of African Americans and 53 percent of Latino and Hispanic Americans felt they were stereotyped in advertisements. In the same report, 61 percent of people said that diversity in advertising was necessary, and 38 percent said they were more likely to trust brands that do an excellent job of showing diversity in their ads.

Some companies fail to give customers what they want —in this case, accurate, authentic representation in advertising, which is ultimately a failure of market research. Companies need to spend more time researching the different demographics that make up their audience to create advertising that talks to everyone and addresses everyone’s problems, not just a select few groups.

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5 Ways Companies can Help Promote Diversity in Market Research:

While there is still more work to be done to promote diversity in market research, the good news is that companies can improve things.

1. Prioritise diversity.

A commitment to diversity and inclusivity should be a central goal for your research team. Make it clear to team members that this is something to focus on, and help people understand how to achieve more diversity and the mistakes they should be avoiding. Educate and hold regular training to cover all the critical information.

2. Work with more diverse teams.

When researching a diverse market, try to use moderators who belong to the same demographics as your participants. This can help avoid cultural misunderstandings, promote better communication, interpret responses more successfully, and make research subjects feel comfortable.

3. Leave assumptions at the door.

Do everything you can to avoid assumptions, biases, and stereotypes creeping into your research. Have multiple people from different groups look over survey questions to ensure they aren’t explicitly targeted at specific demographics or exclude others.

4. Be aware of cultural differences.

Before you begin your research, take some time to educate yourself on the different demographics you’ll have in your study. This way, you’ll be able to conduct more inclusive, helpful research that yields genuinely useful responses from a wide range of groups.

5. Make things accessible.

Work hard to ensure your locations, materials, and schedules are accessible to many people. Be aware that not everyone has a similar schedule or situation. For example, if your research takes place in an area not accessible by public transport, you’re limiting your responses to people who can afford a car and potentially excluding entire socioeconomic groups.

Read this article to dive into how companies can be more inclusive in their market research.

We have to represent the world we live in, and an increasing number of brands are getting it. 34 percent of U.K marketers say they’ve used racially diverse models. (Shutterstock)
Market research is becoming much more diverse, inclusive, and cognisant of different demographics. However, brands can always do more, and those who prioritise diversity will gain a more comprehensive understanding of their market, access more useful data insights, and connect effectively with more customers.

Working with a professional research agency is a great way to ensure your market research is as inclusive, effective, and complete as possible. At Kadence, we work with companies worldwide, helping them get the most out of their study. Contact us to learn more.

Your business likely serves customers across various demographics, income levels, and ethnic groups, and therefore, your research should reflect that. So, how do you ensure your market research is diverse and inclusive enough? 

Many companies fail to achieve diversity in market research. They rely on an overly homogenous group of research participants, drawn from the same places, with roughly similar life experiences, preferences, and biases. The result is preliminary research, with relevant conclusions for only one part of your market. It fails to represent everyone as a whole. 

When companies successfully bring in a diverse range of research subjects, they often fail to make the most of it. They inadvertently create a research environment that benefits particular groups over others, leading to skewed results and frustrated participants.

Therefore, brands should do everything they can to avoid these costly mistakes. They need to ensure their market research targets a wide range of people from diverse backgrounds and is modelled in a way that caters to everyone, not just a select few. This article will look closely at diversity and inclusion in market research, why it’s essential, and how to promote more of it in your organisation.

What is the difference between diversity and inclusion in market research?

Diversity focuses on demographics like age, gender, race, ethnicity, religion, and sexual orientation, to name a few, while inclusion allows diversity to thrive. While the two terms are often used interchangeably, organisations need to understand the difference. 

As diversity and inclusion expert Verna Myers puts it, “Diversity is being invited to a party; inclusion is being asked to dance.”

Diversity brings people from diverse backgrounds and abilities together, and inclusion ensures you value and include everyone’s contributions in your market research. 

Why is it important to have diversity and inclusion in market research?

Brands conduct market research to determine the viability of their products and services, discover their target audience, and uncover what their customers want so they can make better decisions. When you have diversity and inclusion in your market research, everyone’s voice is heard. It allows brands to effectively communicate with their target audience —no matter who they are and where they live. 

It is essential to have diversity and inclusion in your market research efforts more than ever before. Consumers expect to see diversity and inclusion from brands in an authentic way. This is even more true of younger consumers. According to a Deloitte survey of 11,500 global consumers, “the youngest respondents (from 18 to 25 years old) took greater notice of inclusive advertising when making purchase decisions.”

As our world becomes flatter and more diverse, brands must reflect the diversity authentically in their messaging if they expect to connect with a broader audience.  

1. The best research brings diverse perspectives together.

Diversity allows you to notice things, glean insights you might have missed with a less inclusive approach, and access richer and more valuable data. It gives you a complete and accurate understanding of your target market, helping you see the whole picture instead of a narrow and restricted view. A more comprehensive range of diverse perspectives also leads to improved research outcomes.

2. Most research is too narrow.

Around the world, 80 percent of research participants fall into the same rough category. We can define this with the acronym ‘WEIRD’ — white, educated people from industrialised, affluent, democratic societies. You can probably predict the issue with this — despite making up four-fifths of all research subjects, these people are a minority in the world — less than 15 percent.

Focusing on expanding your research to include a broader range of people will improve your results while giving you an edge over competitors who focus primarily on the same groups.

3. Diversity makes your research more credible.

People can see the methodology you used during your research, and they’re likely to question the reliability of a study that focuses too heavily on certain groups. On the other hand, if you can show that your research included a diverse range of people, your conclusions will be more accurate and trustworthy.

4. Diverse research improves communication and avoids blind spots.

Inclusive research listens to everyone and allows you to tailor your products, marketing, and business strategies to improve things for everyone, not just a select few. If you fail to take all voices into account in your research, you risk creating friction and being perceived as ignoring specific segments of your market.

5. Your customers want to see more diversity.

If your research is inclusive, this will reflect positively on your brand — everything from your marketing messaging to the products you sell. In a UK survey, 51 percent of BAME people said brands do not represent their cultures well in their marketing, and 64 percent said they would feel more favourably about a brand that makes an effort to include ethnic cultures.

In other words, taking steps to include a diversity of demographics in your research will pave the way to building a brand that makes more diverse people feel included.

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How to be inclusive and promote diversity in your market research

Inclusion requires the organisation to understand, appreciate, and embrace diversity fully. It is not just about adopting diversity but also committing to it wholeheartedly and without bias. We live in a hyper-connected world with savvy consumers who will quickly call out a brand if its business values go against its brand messaging or promise. Therefore, when conducting market research, brands need to be mindful of how they will approach the issue of diversity and inclusion at every step of the process. 

Here are nine best practises to promote diversity and inclusion in your market search:

1. Build a diverse outreach network.

How do you currently get in touch with potential research participants? Many companies fall short because they rely on the same methods — the same social media pages, established networks of people, local universities, and other such channels.

The result is often a somewhat restrictive pool of people from relatively similar backgrounds and demographics. It would help if you had a more diverse strategy for finding participants for more diverse research.

It would be best to expand your network by recruiting participants from different neighbourhoods, schools, and online spaces. 

2. Make sure your pool of participants reflects your audience.

Even when businesses serve a diverse pool of individuals and are aware of this, they often still erroneously focus their research on just one or two groups. Brands need to know their audience and who is in it — and based on this information, build several buyer personas to cover all the demographics in their market.

When you have a good idea of whom you’re targeting, you’ll be able to construct a much more inclusive research strategy tailored to multiple groups and gather a much richer range of information and insights.

3. Make things as easy as possible for everyone.

It’s easy to inadvertently design a research process that prioritises certain groups over others. Maybe your focus groups take place in an area only reachable by car. Perhaps you conduct questionnaires over Zoom, excluding people with poor internet access. Or perhaps you host interviews in the evening, making it impossible for people who work late shifts.

All these things can hinder the effectiveness of your research by cutting out certain groups and leading to skewed demographics that don’t accurately represent your market. Here’s what you should do instead:

  • Take steps to accommodate different schedules by conducting research activities at different times and in other areas.
  • Help your research participants attend activities. Offer to provide transport, access to any necessary technology, and anything else (within reason) that can make things easier for them.
  • Ensure your research facilities are accessible for disabled people.
  • Compensate your participants. For some people, travelling to a research event can be expensive, and they may have competing obligations. Offer to compensate them for their time, and they will be much more likely to show up.

4. Establish trust when working with vulnerable populations.

Depending on the type of research you’re carrying out, you may need to spend time working with people from vulnerable groups. This could include those with severe mental health issues, victims of serious crimes or abuse, prisoners, or older people.

Getting feedback from these groups can be extremely valuable and provide insights into how the people within them view your brand. It can allow you to develop new products and services that cater to vulnerable groups and create a more accessible and more enjoyable experience for them.

However, this kind of research can present challenges for researchers. For example, people from vulnerable groups may not feel comfortable sharing their thoughts and feelings in a research setting — especially when the questions touch on sensitive topics. Extra care should be taken to ensure your research methods do not cause any distress or discomfort to your participants. Here are some things to consider:

  • Ensure they give consent and be very clear about how you intend to use their data. Aim to obtain explicit, active permission, and give your participants as long as they need to understand this. Don’t rush your participants, and don’t proceed until you’re not sure they know.
  • Establish what to avoid ahead of time and create an environment that will be comfortable, safe, and welcoming for your participants.
  • Be careful not to steer your participants in one direction or another — try to make sure their responses are their own opinions.
  • Make an effort to predict and avoid any potential negative consequences of the research for your participants.

5. Make things as understandable as possible.

Your surveys, interviews, introductions, guidance, and any other communication should be easy to understand for people from every background. The most obvious example here is differences in language. If a large part of your market speaks a language other than English, you’ll need translators to ensure they (and you) understand everything. Here are some examples:

  • If you are interviewing people who speak English as a second language, make sure your materials are simple and easy to understand to minimise confusion and frustration for your subjects.
  • Make sure any examples and cultural references are relevant to the people you’re studying. Even when you share a common language with your participants, misunderstandings can still happen. For example, if your screener uses references specific to a certain demographic, people outside that group may struggle to relate and understand.
  • Make sure any visual materials are easy to see and understand for people who may be visually impaired. The same applies to audio materials.

6. Be aware of how cultural differences impact research.

Different cultural groups respond differently to research. For example, in Japan, focus group participants are typically less willing to go against the group’s consensus, making this research method tricky when weighing individual opinions.

Cultural differences can impact almost every element of your research process. For instance, a time one culture might consider ideal to attend a research event could be highly inconvenient for another.

Take some time to make yourself aware of these cultural differences and how they relate to your research. That way, you can design research methods that are more appealing and welcoming to different cultures, which yields more accurate and valuable results.

7. Work with a diverse range of moderators.

People from minority groups will often feel more comfortable sharing their thoughts and opinions with someone from similar backgrounds. On top of this, moderators from a diverse range of backgrounds may find it easier to connect with these participants and get more helpful responses.

Working with a more diverse team of researchers helps you draw on different experiences to build a more inclusive research process. When groups are too homogenous, it’s easy to fall into assumptions and miss out on certain blind spots, which results in a process that can exclude specific demographics and lead to incomplete results.

8. Don’t make assumptions.

It’s common for researchers to make unconscious assumptions when asking questions and creating hypothetical scenarios in research. For example, a survey question might assume that the participant is from a typical nuclear family, alienating people who don’t fall into that lifestyle category. Take some time to consider if your questions are relatable to a wide range of people and not just your location’s dominant culture or lifestyle.

9. Work with an experienced market research agency.

The best way to ensure diverse, inclusive research and avoid any mistakes is to work with a team of experts who have done it all before. An experienced research agency can help you take all the necessary steps to avoid excluding certain groups, ensure your research process is as diverse as possible, and help you notice any areas you may have overlooked.

At Kadence, we help companies worldwide carry out effective research that connects with a diverse range of participants. Get in touch with us to find out how we can help you do the same.

You probably won’t read this article word for word—and you’re not alone. Humans typically respond to visual stimuli by paying attention to some things more than others. They skim over some words, re-read others, and skip entire sections.

How a person’s eye moves around a page, design, or space reveals a lot about what does—and doesn’t—capture their attention. That’s why cutting-edge eye-tracking technology is growing in demand among market research professionals.

Eye-tracking is a powerful tool for gathering, analyzing, and utilizing data about what goes on in consumers’ minds. Those insights can be used to optimize brand performance and improve marketing ROI.

Read on to learn more about the fundamentals of eye-tracking technology and its uses in market research.

What is eye-tracking?

Eye-tracking is a research methodology for measuring where a person looks, providing insight into their thinking.

Using machine learning and advanced image processing, it’s possible to record almost everything about how the eye interacts with something in front of it.

This real-time data can be helpful in market research. It allows for a deeper understanding of consumer reactions to almost any visual stimulus, from a website or technology platform to product packaging or an in-store display.

Eye-tracking unlocks the unconscious decision-making process. It gives marketers quantifiable data about user intention, where their interest lies, what they overlook, and how they respond to different stimuli.

This data humanizes technology, creating intuitive solutions that meet consumers’ actual needs and desires.

How does eye tracking work?

Eye-tracking technology uses near-infrared light and high-resolution cameras to track how the eye moves in response to stimuli.

  1. Light is directed toward the center of the eye to create reflections in the pupil and cornea. Infrared light is invisible; it doesn’t distract or harm the eyes.
  2. A camera records the reflections (called pupil center corneal reflection or PCCR), tracking the person’s exact point of focus.
  3. Advanced mathematical algorithms calculate various data points, such as eye position, gaze or focus point, duration of attention, eye openness, blink rate, and changes in pupil diameter.
  4. The data processed by eye tracking software helps researchers understand where, when, and what people viewed.

The exact data a researcher collects depends on the hardware and software they select from the many companies that offer the technology. 

Some tools also integrate biometric data, like heart rate and galvanic skin response, to add depth to findings. Also, a similar head tracking technology monitors the position and movements of the head. It can be combined with eye tracking to uncover more meaningful data.

There are two main types of eye-tracking technology: 

Screen-based devices

● Participants sit in front of and interact with a computer screen that has a stationary unit mounted below or nearby. Movement is limited within the static area.

● Recommended for controlled environments. Webcam options can be used in a participants’ home, but proper calibration isn’t guaranteed and can negatively affect results.

● Ideal for screen-based materials (pictures, videos, and websites) or static offline stimuli (packaging, magazines, books).

Head-mounted devices

● Wearable devices are integrated into eyeglass frames or inside a virtual reality headset, allowing users to move freely around a space.

● A large amount of movement, as with sports, could cause glasses to shift during recording and negatively affect results.

● Ideal for performing tasks in a real-life or virtual environment (shopping, usability studies, product testing).

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What does eye-tracking measure?

This advanced technology can measure almost anything about the eye, but what does the information tell us?

Gaze Point

Discover where a user’s eyes look at a rate of up to 60 points per second. This tells you exactly how long the eye fixates on an object or area or what actually generates visual attention.

Scan Patterns

Plotting out where the eye fixates in chronological order creates a visual path that reveals how consumers tend to scan something. This can help determine whether the information is logically and efficiently organized.

Heat Map

Aggregate data showing the distribution of users’ focus points to understand what consumers are most and least likely to notice. The larger your sample pool, the more you can determine differences in how various populations view the same object or space.

Areas of Interest (AOI)

Measure specific areas of a video, website, package, or display to determine how long it takes a user to notice something, how many people notice an AOI, how long they view the area, and how often they return to an AOI. You can also compare the performance of separate areas.

Using eye tracking in market research

The eye-tracking market is exploding, expected to reach nearly $1.1 billion by 2025, up from $368 million in 2020. Clearly, the data this technology generates is valuable.

Let’s explore exactly how to use this information in marketing research.

●     In-Store: Head-mounted eye tracking is highly effective for evaluating store navigation, signage, and product displays. Rather than using unreliable recall methods, customers walk around a store (or a VR simulation). At the same time, the technology captures the path they take, what draws their attention, and what they ignore.

●     Packaging design: Before releasing a product, eye tracking can test how well users respond to the various elements. This type of testing is particularly well-suited to A/B testing that compares two or several options to see which generates the most fixations on key AOIs. 

●     Website: To deliver the best user experience on a website, it helps get inside the consumer’s mind. Eye-tracking is the most effective way to test what elements of a site capture attention (or cause someone to click away), and what influences desired actions. Initial and follow-up retesting can determine what messages, fonts, colours, and placements best attract and retain leads, dramatically increasing marketing ROI.

●     Advertising: Eye tracking can help assess the success of print or digital advertising communication—what does and does not draw attention. It’s also an effective tool for testing changes to see what improves results.

Regardless of the visual stimulus tested, eye tracking can help determine which elements attract immediate attention or above-average attention and in which order they’re viewed, as well as what is ignored or, perhaps, misunderstood.

Market researchers can propose changes that improve usability, effectiveness, and overall customer experience with this data. Best of all, the technology can be used to retest new iterations to determine how successful they are at improving desired results.

It’s important to note that eye-tracking falls short in determining the psychology behind a user’s actions. It can provide accurate data about what, where, and for how long a person looks, but understanding motivation requires other market research methodologies, such as surveys and interviews.

What industries can use eye-tracking?

As eye-tracking technology continues to become more affordable and more widely understood, it’s not surprising it’s attracting more users.

While applicable to many industries, the technology is commonly used for market research on various commercial sectors. Bank branches, car dealerships, groceries, malls, and other retail environments frequently employ the technology to better understand and improve the customer experience.

Eye-tracking is also vital in technology, becoming a more frequent interface method for computers, phones, video games, and televisions.

Finally, the methodology contributes to advancements in automotive safety, workplace safety, medical diagnoses, and accessibility for people with disabilities.

What are the pros and cons of eye-tracking for market research?

Modern eye-tracking technology has been used for market research since the 1980s. It endures because it of three key benefits:

●     Unique: Eye tracking reveals what other data collection methods cannot. It shows what a user actually looks at and ignores and how they scan an object or a space.

●     Reliable: Very little market research is 100% accurate, but eye-tracking precisely captures eye movements down to milliseconds. It provides an accurate history of the what, where, and how of viewing patterns (interpretation of the why is a different story).

●     Easy Testing: You can immediately test a hypothesis about what might improve the visual performance of a website, package, or display. Make the change, then see if it had the expected effect on the user’s view.

Despite the many benefits, there remain a few challenges with using eye-tracking technology in marketing research.

●     Cost: Eye-tracking studies require money, time, and labour. The equipment and training can be pricey. Plus, each device can record only one person at a time, so it takes a great deal of time to get a meaningful sample size.

(For researchers with budget constraints, tools like Hotjar’s Heatmaps and Mouseflow may be an affordable alternative. They show where a mouse hovers. While not perfect, there’s some correlation between where a person points the mouse and where their eyes move.)

●     Limitations: Eye-tracking technology can be less effective for participants who wear contacts or glasses or squint. Also, incorrectly calibrated trackers or head-mounted devices that shift can invalidate results.

●     Bias: The Hawthorne Effect, or a person changing their behaviour when they know they’re being observed, may create some degree of error with results. Likewise, there is always some bias in data interpretation or deciding the “why” behind the eye movements.

Best practices for eye tracking in market research

Eye-tracking technology is not a one-size-fits-all solution. It’s also not the best and only option for market research.

In truth, eye tracking is best combined with other research methodologies, such as interviews and surveys. Using eye-tracking in conjunction with other tools is the best way to ensure more accurate results.

Many researchers prefer to use eye tracking in the latter stages of market research as a diagnostic tool. It can be used to test a few solutions to perceived problems. For example, if people aren’t clicking through a website as desired, eye tracking can be used to test whether a button in a different colour or location improves results.

Summary

According to research from Harvard Business School, 95 per cent of purchase decision-making occurs in the subconscious mind. That’s why many market researchers rely on eye-tracking. It’s a powerful tool for understanding what goes on in consumers’ minds. 

While not failproof, eye tracking provides reliable data about how a person views the world in front of them. Those insights can be valuable in optimizing websites, product packaging, store displays, and most importantly, improving marketing ROI.