India is a diverse country having 29 States and seven Union Territories covering more than 600 districts, roughly 8,000 towns, and more than 0.6 million villages. The villages are spread over 3.2 million square kilometres supporting 65% of India’s total population. There is vast heterogeneity in population characteristics due to socio-cultural factors, caste-based divisions, and religious and linguistic diversity. 

Specifically, in the Indian context, ensuring data capturing, and research methodologies are amenable to different languages, literacy levels, and differentiated access/familiarity with the internet is critical. 

For the above reasons, research and data collection become a challenging task and calls for a robust and representative methodology to mirror India’s diversity.

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Key Challenges in Research & Data Collection

Given India’s cultural and geographical diversity, some of the critical challenges for marketers and researchers in designing a survey for rural India are listed below:

1.   Reach: As per Census 2011, nearly 58 percent of India’s rural population resides in 115,080 villages having a population of 2000+. This effectively means that roughly 80% of the total villages in India are small or very small in size, inhabiting less than 2000 people. Looking at tapping rural markets, last mile connectivity with end consumers is a big challenge for FMCG players. Similarly, reaching the vast network of 33 million retail outlets in rural India is a challenge for companies, given the high distribution cost. Therefore, focused, and targeted reach is a priority in accessing rural markets. The survey design needs to factor in this critical consideration when designing the scope of research and sampling methodology.  

2.   Commercial Viability: It is estimated that 85,000 large villages in India account for 40% of the total population and 60 percent of the total consumption of FMCG categories. The skewness in demographic profile and purchasing power further limits the scope to cover the whole of Rural India for reasons of commercial viability. 

3.   High degree of heterogeneity: “A one size fits all approach” does not work well when designing a survey or methodology for rural India. For example, poor and backward States like Bihar, Uttar Pradesh, West Bengal, and Madhya Pradesh have more than 75-80% of their total population living in rural areas, whereas urbanized States like Tamil Nadu, Maharashtra, and Telangana and more equitable in terms of distribution. Therefore, each State has its unique demographic and socio-cultural profile, which must be kept in mind while designing the sampling methodology in any primary research survey. 

4. Gender Inclusivity: Females are vital consumers and influencers of product categories in Rural India, but men are likely to be key purchasers. Therefore, “whom to interview” becomes a pivotal question to answer while designing a survey. 

5.   Linguistic Diversity: India has 22 official languages besides numerous local languages, dialects, and colloquial words. Therefore, linguistic compatibility becomes essential for survey administration in Rural India. 

 Methodologies for Rural Research 

Some factors merit consideration while designing a methodology representative of the diversity of Rural India and are listed below:

  1. Regional Representation
  2. Adequacy of Sample Size
  3. Defining “Rural” and therefore a selection of villages 
  4. Other Imperatives

1.   Regional Representation 

In a vast and diverse country like India, robustly researching rural consumers requires reflecting heterogeneity and ensuring representativeness. For example, people in the North have attitudes and behaviours that are distinctly different from the population in the South. Similarly, other regions also have socio-cultural nuances that often colour their opinions and attitudes, especially on sensitive issues. 

Therefore, selecting Socio-Cultural Regions or SCR-s is often the starting point to decoding rural consumer behaviour. The regions make it easier to contextualize people and their behaviour for prevalent agrarian practices, social and cultural nuances, and crop-season-driven income and consumption patterns. 

2.   Adequacy of Sample 

The population spread for different States in India varies a lot. For example, the most populous State, Uttar Pradesh, accounts for almost 15% of India’s population. On the other hand, the tiny State of Goa accounts for less than 0.5% of India’s population. Therefore, in a pan-India or multi-State survey, stratification of a sample by State becomes essential. Generally, States are categorized into different population bands such as high population states, medium population states, and low population states. The sample is then fixed for each band in terms of their population size to ensure adequate representativeness. 

The sample size would also depend on other factors such as the granularity of data required within a State, and heterogeneity of population characteristics within a State et al.  

3.   Defining Rural 

The Census of India defines a rural village as a settlement that has the following three characteristics:

  • A population of fewer than 5,000 people
  • <75 percent of the male population employed in non-agricultural activities and 
  • Population density of fewer than 400 people per square kilometre

However, for commercial purposes, this vast and huge area coverage is logistically challenging to cover for any marketing company. Therefore, for practicality and feasibility, different definitions of rural are followed. For most companies, the “hub and spoke model” defines rural coverage as mapped to their distribution channels. They consider villages in the immediate vicinity or within a defined radius of the feeder towns. Last mile connectivity is a challenge for most companies in Rural India. Covering interior or remote parts of rural is not considered to be a viable option. Villages at the periphery of small towns/feeder towns that can be accessed easily become the “immediate” potential for targeting Rural India. This is also called the “Ringing Method” of village selection. 

The above has a profound implication for researchers in terms of designing a suitable methodology and, more importantly, for deciding on an appropriate sampling methodology for the research.  

4.   Other Imperatives: There are a few other imperatives that one must be cognizant of while designing rural research methodologies: 

o  Permissions: Before any fieldwork in villages starts, it is crucial to approach the village head called the “Sarpanch” to apprise them of the survey and its objectives and take approval to conduct fieldwork. This is a formal authorization from the village head that they have been informed about the study and grant their formal permission. 

o   Village Map: You are required to draw a rough map of the village before the start of fieldwork to understand the village’s layout and the critical physical structures —like the hospital, school, panchayat office, temple, or any other place of worship. The team supervisor generally does this exercise with the help of a local person from the village, such as the sarpanch/ schoolteacher or any other elderly person. As the rural dwellings/ households in a village are not structured or follow a pattern (unlike the urban dwellings), the maps also help sample and select clusters/households in that village. 

o   Use of colloquial terms: Given the linguistic diversity of Indian States, specific phrases or words have colloquial interpretations. Therefore, for ease of understanding and comprehension of questions by the respondents, it is generally recommended that local phraseology is inserted into the instrument basis inputs from an informed local person such as the schoolteacher. 

With the focus of multinational companies and marketers now shifting to rural consumers, rural market research in India will likely increase spending in the near future. It augurs well for market research companies to actualize this opportunity to sharpen their research methodologies with rural consumers in mind. At the same time, researchers should be mindful of some of the challenges of rural research, such as low literacy levels, low tech savviness, poor connectivity, and a heterogeneous population, while designing research methodologies for this group. 

Kadence International helps leading brands make game-changing decisions. If you are looking for a research partner to help better understand your customers, we would love to help. Simply fill out our Request for a Proposal here.

At Kadence International, market researchers are at the heart of our team. In this series, we honour some of our colleagues, asking them about their experience working within the market research industry and what the future holds for the industry.

Name: Arpan Jhingran

Position: Project Manager

Kadence Office: New Delhi, India

I joined the Kadence India office in February 2010.

What does a typical day or week look like for you in your current role? Or what are your primary responsibilities/duties?*

Client Servicing is a significant part of what I do for the project life cycle, starting from sharing the cost to the invoice raising and updating the client and senior management on a timely basis. Our responsibilities include solving the field operations query by speaking to the client and finding the best solution.

Tell us a little about your career so far. What was your first job or role? How did you get started with market research? What other roles (in market research) have you had?*

I had worked with ACC Concrete as a management trainee at their Mumbai location, then moved to Delhi. Kadence is my first company in the Market Research industry. I joined as Operations Executive and was promoted to Senior Field Executive. I have been a project manager for the past five years.

Did you always know that you were destined for a career in market research? Why? If not, what did you actually think your career would be, or what did you say you wanted to do “when you grew up” as a child?*

During my MBA, I was fascinated with the Market Research industry because of its involvement in every possible sector. I was also intrigued by the prospect of using different methodologies for deriving results and presenting those as findings and insights to brands.

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What is your favourite quote or the motto you live by?*

Live and let live

What is the best thing about the culture at Kadence?*

I love the open culture at Kadence, which allows you to work freely and use your experience to guide you in the right direction.

What essential skills are required to excel as a Market Researcher?*

Excellent and clear communication is paramount to building trust with the client.

What is unique about the market research field / and or consumers in your country/ region?*

There is much enthusiasm for trying new products or giving their opinions on topics we need data and insights on. 

What is it about the field of market research you wish everyone knew?*

Much hard work goes behind every outcome to improve any product or idea.

What piece of advice would you give someone looking to start a career in market research?*

Clear communication is the key in any service industry to building confidence, and I would like to advise anyone inclined to join market research to hone their communication skills. 

How have you seen consumer behaviour change in the past 2 – 3 years as a result of the pandemic? If so, what are your main observations?*

The expenditure pattern has changed drastically. People are ready to spend on what they want rather than save for the future. 

For one of our projects in the healthcare field, we had to visit government hospitals and understand the conditions and processes by speaking to doctors, medical staff, and patients. Also, we had to talk to doctors without medical degrees and use medication based on their experience. That was great learning of my career.

If you could time travel into the future ten years, how would market research evolve?*

I see market research moving online compared to the current scenario of being an offline-dominated industry.

What do you like to do in your free time when you are not working?  *

I enjoy spending time with my family or sometimes going out with my friends.

What is something you have accomplished in work or life that you are particularly proud of?*

A beautiful family.

What is your all-time favourite food or cuisine?

South Indian Food (particularly Dosas).

What is your all-time favourite travel or vacation spot, and why?

I love hill stations because of the drive up there and the weather. 

How has Kadence’s remote work opportunity allowed you to achieve a work/life balance? We would love an example.

It gives me some more time to spend with my family.

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.

Why do people camp outside Apple stores to be the first to access newly launched iPhones? Why do consumers pay more for branded products than for non-branded ones?

It has everything to do with consumer perception or brand equity. When consumers favour your brand over a competitor’s brand and show loyalty to your brand over time, they are contributing to your brand equity. Brand equity is defined as the measure of the perceived value of a branded product over time. Brands need to measure brand equity because boosting it can help them improve their market share and profit margins. 

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Brand equity is different from brand value

With an estimated brand value of about USD 355.1 billion, Apple has established itself as the world’s most valuable brand for 2022, followed by Amazon in second place with a brand value of approximately USD 254.2 billion.

So, what is brand value, and how is it different from brand equity?

Brand value is the price someone will pay for your brand if you were to sell it. There are many ways of measuring brand value and they include the costs associated with building the brand. The investment made in creating a brand, its identity, logo, graphics, brochures, and other assets is used in the brand valuation process. 

Brand equity is not the same as brand value but can positively raise the worth of a brand because as you build your brand equity, you achieve greater brand recognition and positive brand associations, which can boost revenue and brand loyalty. 

It should be noted that a brand can have value even if it has no equity. For example, a company may invest in developing a product and brand, so it will have a value attached to it even before it enters the market. Brand equity helps enhance and increase brand value. 

What drives brand equity, and how can you measure it? 

While brand value is easy to measure, brand equity can be vague and more difficult to calculate because it is influenced by opinions, perceptions, and behaviours, and not just financial metrics.

Let’s divide these drivers into three categories —namely, financial metrics, brand awareness metrics, and consumer sentiment. 

Financial metrics 

Although not the only factors responsible for brand equity, financial drivers like healthy profits help validate a brand’s equity to a great extent.

Metrics such as sales, average transaction value, customer lifetime value, profitability, growth rate, and the cost of doing business are essential data sets to measure overall brand equity. It is also important to calculate the competitive performance of a brand against other brands in the same space by measuring market share and customer acquisition rate.

These competitive metrics also help your brand identify gaps in customer service, product features, pricing, marketing messaging, positioning, social media engagement and following, and distribution channels.

No matter how well or poorly your competition performs, it will directly impact your brand. Conducting a thorough competitive analysis to evaluate how your brand measures up is essential.

When these financial metrics increase, so does your brand value. 

Brand awareness metrics

A strong brand with a high level of recall and awareness will likely boost your brand equity. This is what sets successful brands apart as they endure even the most difficult economic conditions. 


Customer awareness of a brand and its products and services is essential to brand equity. Brands should aim for consumer advocacy and, more importantly, for their consumers to actively engage with and talk positively about their brand.

Conversation share, measured by the number of times a brand comes up in conversations about the brand’s offerings, is a massive indicator of how aware consumers are of your brand.

Market research helps evaluate brand awareness through various methodologies online and offline. Commonly used methodologies in market research include:

  • Surveys and focus groups
  • Local store traffic
  • Traditional media mentions
  • Online search volume
  • Customer reviews
  • Social media mentions 

Emotional metrics 

Knowing how your consumers perceive your brand is critical—the more positive their perceptions, the higher your brand equity.

Market research helps track consumer behaviour and sentiment to obtain reliable information about brand perception. This type of metric is much more challenging to measure. Market research using qualitative surveys and the right text analytics software to interpret open text is beneficial in data collection and analysis. 

Consumer preference and consumer perception of a brand are good indicators of brand equity. The former pitches the brand against its competition and gauges how consumers view it in relation to competing brands. The latter provides insights into the emotions and feelings associated with a particular brand. For instance, market research using qualitative methods can reveal how consumers react to a particular brand name. 

Consumer preference influences purchase decisions, like paying a higher price for a brand name or going the extra mile to access the brand. A case in point is the annual beeline outside Apple stores when it releases its newest iPhone.

Quantitative methods like sales data are an excellent way to gauge customer preference; however, they should be used alongside qualitative methodologies such as surveys to identify to what extent your customers agree your brand is superior to the competition and how much they are willing to pay for your brand name.

These surveys are also used to measure how emotionally invested your consumers are in your brand and the emotions associated with it. 

While a nebulous concept, brand equity provides the actual value of a brand beyond financial metrics.

Knowing how consumers feel toward a brand can open new opportunities for understanding key demographics within target audiences.

With a deeper understanding of the target audience, products and campaigns can be tailored to specific groups to improve ROI.

Utilizing quantitative methods, brands measure brand equity based on financial data, like sales, revenue, profit, and loss. Qualitative methods of measuring brand equity, on the other hand, include brand awareness, brand recognition, customer satisfaction, customer loyalty, and brand perception. 

Brands like Apple, Amazon, and Microsoft did not build their brand value overnight, but we know they have devoted many years to creating memorable brands that resonate with their target audience, and they continue to tirelessly do so even today. 

While tracking many of these metrics may be challenging, it is not impossible. Market research provides invaluable tools to etch out brands that stand out and shine using data, market intelligence, insights, and breakthrough technology. 

With a GDP of $5.15 trillion, Japan is well-positioned for international expansion and offers substantial business opportunities for brands in various industries. 

The country has dramatically bounced back from the disruption caused by the 2011 natural disasters, like the earthquake and the Tsunami.

Japanese motor vehicles and electronics are prevalent globally. It is also among the world’s largest producers of steel. 

The country is among the world’s largest exporters of motor vehicles and electronic equipment. The service sector makes up the highest percentage of the economy in terms of gross domestic product and employment.

Major Industries in Japan

Japan’s five largest companies by market capitalization are Toyota, Sony, Keyence, Recruit Holdings, and SoftBank Group. Sony’s portfolio includes a distinctly non-Japanese Hollywood movie and music business originally acquired through a merger and acquisition over 30 years ago. SoftBank, in recent years, has morphed into a massive tech fund run by foreign fund managers invested almost entirely in non-Japanese startups. Recruit’s new CEO spent ten years acquiring and growing recruitment businesses in the U.S. before his promotion earlier in 2022.

Japan is focused on manufacturing precision and technology products such as hybrid vehicles, robotics, and optical instruments.

Other industries prominent in Japan are agriculture, fishing, and tourism. 

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What makes Japan an excellent choice for international expansion

Large World economy

The third-largest economy in the world, after the United States and China, and the fourth largest importer of U.S. products, Japan is open for international business. It is also one of the world’s most literate and technically advanced nations.

Robust Consumer Economy

Japan has a robust consumer economy with a per capita income of $42,197 and is a haven for brands that want to expand internationally. Japan’s massive consumer economy, in which consumers with considerable purchasing power seek high-quality and innovative goods and services. 

Protections and Compliance

An essential member of the international trade system, Japan complies with the law, and its efforts to maintain the rule of law is one of the pillars of its foreign policy. It also provides intellectual property protection and rights. 

Easy and inexpensive to set up an office 

According to the World Bank’s “Ease of Doing Business” report, it takes about 11 days to incorporate. It costs 0.7 percent or JPY 60,000, (approximately USD 470 million), whichever is higher, and registration and seal fees. For companies that want to set up a branch office, the costs are low and procedures simple. Co-working spaces are also an option in bigger cities. 

Rapidly Aging Population

Japan is ageing fast. One in three people is estimated to be 65 years and older by 2036, conferring the title of the world’s leading “super-aged society.”



While the nation’s rapidly ageing and declining population pose risks of an economic crisis, it also presents massive opportunities. As a result of the declining population, individual income has risen, surpassing U.S. citizens.

Fewer people in Japan mean larger living spaces, more arable land capital, more disposable income, and higher quality of living. This fuels the growth in several industries, such as pharmaceuticals, healthcare, franchising, and real estate, to name a few.

Seniors in Japan are financially secure and healthy overall and big consumers of various products and services. 

Innovation and Research 

Japan reigns supreme in research as a nation with a large senior population. It has a goldmine of data on ageing, medical data, and medical assessments—these datasets are beneficial for local governments worldwide. The nation ushers innovation and technological advancement in many sectors. 

Just as countries can look up to Japan to help their ageing population and fill technological gaps, foreign brands can view this as a great time to expand and invest in such fields.

Significant obstacles to consider before entering the Japanese market

Entering the Japanese market is lucrative and full of opportunities, but it is not without many obstacles and challenges. It is noteworthy here that Japan is one of the few Asian countries that never had a western country rule over them, and this is because of Japanese are strong-willed and are rooted in tradition. 

Although tariffs are generally low, Japan has other barriers to entering the market that may hinder foreign products’ importation into the country. 

It is essential to factor in some of the most significant obstacles before entering the Japanese market. These hurdles can be measured against the brand and company goals to make the right decision and market entry plan. 

  1. Japan’s size makes it essential for brands to invest substantially, increasing risks.
  2. Japan is a highly competitive market, and domestic brands have a strong presence. Therefore, it is not easy to compete with local Japanese companies. However, thorough market research before creating the market entry plan can help brands overcome the challenge of competing with local companies.
  3. Japanese are discerning and look for value for money and high quality when making purchase decisions. Additionally, the Japanese culture and tastes are very different from the Western world. Therefore, brands have to redesign and redevelop their products and services to tailor them to local tastes and preferences in most cases. Market research and product testing methodologies can help brands create and tweak products to fit the Japanese lifestyle and culture.
  4. Japan has very little foreign investment for an advanced nation, keeping the Japanese business sector isolated. As a result, only about 3-5 percent of Japanese speak good English, which can be a barrier for some countries.
  5. Japan has a strong network of regulations, permissions, and extensive procedures as a bureaucratic country. These strict regulations keep new entrants from competing with established industries. However, these regulations are being slowly relaxed.
  6. Management and H.R. policies are very different in Japan, and organizations entering the country must consider and adapt to the management style in Japan, because failing to do so, is a recipe for disaster. 

Marketing to the Japanese consumer

Japan is a unique market, and it is crucial to understand the cultural nuances and the Japanese consumer. You cannot become a Japanese marketing expert overnight, and it is helpful to hire local advertising agencies when marketing in Japan. 

For the same reason as above, it is critical to regionalise everything. Labels on products and marketing and sales materials, digital campaigns, and the website need to be in the Japanese language.

The Pepsiman commercial is an excellent example of regionalizing a brand. When Pepsi’s Japan branch decided to create something regional for Japan, they contacted Travis Charest to create a superhero mascot to promote Pepsi. This faceless superhero managed to get a cult following in the country. They developed an action game for the Playstation and created several successful commercials using Pepsiman. 

Nike’s attempt to extend its marketing message to include social activism in Japan was met with criticism. Nike Japan released a video depicting the struggles of women athletes in Japan that faced bullying and racism, topics that are not openly discussed in the country.

Martin Roll, a business and brand adviser, says that Japanese consumers are not as vocal and will not express dissent unless they feel brands cross a red line. Therefore, it is important to have a deep understanding of the culture, the sentiment of the people, the root of homogeneity in Japan (post-Hiroshima Nagasaki, there was a focus on a homogeneous society), and how to carefully tread the delicate line. 

https://www.youtube.com/watch?v=XkFaQuhHOtw

As in any other new country, it is also essential to have a local marketing plan and calendar.

Distribution and Sales Channels in Japan

The choice of distribution channels depends upon the product. Due to space limitations, small retail stores often stock limited inventory, and wholesalers deliver smaller amounts more frequently. 

Culturally, the Japanese prefer face-to-face interactions and place a high value on building and maintaining business relationships. This distribution system is costly and increases the price of goods. The growth of big box stores and e-commerce is challenging this status quo. 

In 2021, approximately 2.25 million vending machines in Japan were beverage vending machines, selling drinks like cooled beverages or coffee. 

The primary distribution and logistics points are found in the major port cities, like Tokyo, Yokohama, Kobe, Osaka, and Fukuoka.    

Market entry strategy for Japan

Brands need to develop and maintain strong relationships with local partners to gain a foothold and succeed in the Japanese market. The local partner can act as an agent, representative, or distributor and manage a branch office or subsidiary in Japan. 

Since the business culture is unique in Japan, visiting the country several times before entering the market is good. This can help familiarise the organization with the culture and business climate. 

Japan has a stable economy and is a dream destination for foreign investment. The key to successful business entry in Japan is doing the leg work using market research to understand the culture, localise the product and messaging, and find the right partner to expand the given brand in this unique marketplace full of opportunities.

Emerging technological advancements are transforming market research forever. As many consumers move online, the way brands identify and understand consumer needs is being reimagined.

Many technology trends disrupt the market research industry —from data collection and new product launches to tracking brand performance. This blog post will focus on the breakthroughs in technology impacting brand tracking and product performance tracking.

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Brand and performance tracking refers to the process of continually measuring brand health over a period within the target audience. It allows brands to measure the performance of a product in relation to its competition. After a new product is launched, market research helps brands gauge performance to stay competitive. 

With consumers increasingly moving online, brands can tap into new, vast, and reliable consumer behaviour data in real-time. This has also made Direct to Consumer marketing much more common. Brands like Happy Human (Singapore), Dime Beauty (U.S.A.), Joi (Malaysia), Sleepy Owl (India), Recess (Philipines), Adopt a Cow (China), and Knot (Japan) have eliminated the middleman to create, develop, sell, and distribute their products directly to the end-user. The absence of middlemen and brick-and-mortar stores allows them to maintain quality and reduce prices. But this is not all. These brands also have the added advantage of measuring performance directly without employing market research across several retail outlets. They can discover brand sentiment directly, making them more agile, nimble, and competitive. 

While there is still a place for traditional research methodologies, technologies like machine learning, Artificial Intelligence, Virtual Reality, and chatbots continue to reinvent the market research industry. 

Let’s look at the primary technologies in brand tracking and competition analysis that are changing the face of market research. 

E-commerce brands utilise price monitoring software technology to track competitor pricing.

In the fiercely competitive E-commerce world, the key to outperforming the competition is tracking and monitoring the price competing brands charge for similar products and services. Brands need to keep a keen eye on their competitor’s pricing strategy and price changes over several products to stay competitive, and that’s not an easy task even for larger companies. 

This is where e-commerce price monitoring technology comes into play. 

Ecommerce price monitoring software allows brands to track their competitor’s price changes and dynamically adjust their pricing. 

By employing this type of software, brands can stay abreast with competitor pricing and adjust pricing based on demand, competition, and inventory levels. 

Many such tools are available in the market, including Minderest, Price2Spy, and Prisync, with sophisticated matching technology and high levels of accuracy. 

Market research utilises machine learning and A.I. for brand and performance tracking to revamp advertising and messaging. 

While some grey areas are associated with A.I. in other fields, the market research industry has embraced this technology.

One of the things brands need to track constantly is how their messaging is resonating with the target audience and how the market perceives their brand. This is because a brand is not just the logo and tagline. It is a sum of all parts and is an overall feeling that tells a narrative and evokes sentiment and emotion in the audience. 

Technology helps brands better understand brand performance and perception to inform better decision-making. It allows brands to measure and bridge the gaps between their intent and how the audiences interpret and perceive their message.

The use of A.I. in brand tracking has allowed market researchers to analyze qualitative surveys at a fraction of the time taken by manual data collection methods. Furthermore, this enables them to ask more open-ended and follow-up questions, find the right panellists faster, eliminate bias, write reports quickly, and significantly improve the quality of their surveys and reports. 

In today’s dynamic digital marketplaces, A.I. is powering brand tracking to gauge the changing consumer perceptions. 

Sentiment analysis is a sub-category of A.I. and N.L.P., which automatically uncovers feelings, emotions, and sentiments behind plain blocks of text. It is extensively used in brand tracking because it is efficient, reliable, and accurate. 

Over 45 percent of the world is on social media. There are about 500 million tweets per day, and about 1.96 billion people worldwide use Facebook every day. Consumers constantly call out brands on these social media platforms and review sites. It would be overwhelming and near impossible to collect data manually. Brands can effectively gauge overall brand sentiment across platforms and channels online using automated tools. 

For instance, when the popular ride-sharing service, UBER, launched a new version of its app, it used social media monitoring and text analytics to measure user sentiment about the new version of the app. Eye-tracking technology works similarly and can track users’ engagement scores and emotions on a website. 

There are several brand tracking tools available for brands. Candymaker Mars used one such tool that combines the standard digital video metrics, like view-through rates and skip rates, with facial expression tracking of the viewers while watching the ad using an A.I. algorithm.

While the tool measures digital behaviours, it puts enormous weight on gauging emotion and sentiment. This technology is essential to track brand performance in a world plagued with minuscule attention spans. It allows brands to obtain a complete picture of consumer perception. 

Many technologies use participants’ webcams to track their facial and emotional responses while viewing ads, providing invaluable data used to inform sales forecasts. 

Chatbots are aggregating vast amounts of consumer data.

The usage of chatbots as a communication channel between brands and consumers has increased by 92 percent since 2019. 

As many consumers shop online, they engage with chatbots, making them the fastest-growing brand communication channel.  

A survey found that up to 80 percent of users answered questions, three times higher than responses from email surveys. 

Brands like IKEA are using chatbots to gather valuable consumer feedback. Companies use Whatsapp and Facebook messenger to measure consumer sentiment and feedback efficiently. 

The use of brand tracking cannot be overemphasised. It allows brands to understand how their current audience perceives the brand. It can also lead brands to uncover until now undiscovered target audiences. 

With brand tracking software, brands can see the true impact of their campaigns. Brand tracking holds the key to insights any brand needs to thrive. Using the right tools and technology, brands can obtain actionable information about the brand perception among the target audience and how it scores against the competition.

A brand is one of the most valuable assets of an organization. It is, therefore, critical to continually measure satisfaction, awareness, and perception. Incorporating brand tracking into their marketing strategy can help brands understand their target audiences and consumer needs and make more profitable marketing decisions. Technology has made it easier to uncover massive data sets to monitor a brand effectively and accurately. By combining this technology with digital metrics, brands can increase their competitive advantage.

Just like we need a GPS to take us from point A to Point B, businesses need to intuitively map their customer’s journey to ensure they are moving through the process. But instead of plotting it physically on a map, brands need to use technology to visualise each touchpoint the customers interact with when they engage with them. 

Today, customers interact with brands multiple times on various platforms, and brands need to funnel them to continue moving forward. 

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What is customer journey mapping?

A customer journey map is a visual plotting or representation of customers’ experiences and touchpoints with a brand. It tells the complete story of a brand’s relationship with a customer, starting with the first engagement and moving toward a path to purchase and becoming a loyal customer. 

Journey mapping is not a single instance or solution; it is a process that integrates every facet of an organisation, from marketing to sales to customer service.

Why Customer Journey Mapping is Invaluable for Brands

Today, customers expect a lot from each interaction with a given brand. Personalisation, consistency at each touchpoint, and relevance are not just “good to have” anymore; they are necessary to drive conversions and brand loyalty. 

Customer Journey Mapping is beneficial not only for sales and marketing but also for the creative team. Armed with this information, content creators can develop timely, relevant, personalised copy and speaks to the customer at each touchpoint. Designers can derive context from this information and design an elevated customer experience. 

Customer Journey Mapping is helpful for many reasons, and it primarily helps with the following three steps:

1. Identify all touchpoints to understand the customer experience better.

Customer Journey Mapping helps you construct a seamless and intuitive customer experience through every touchpoint. This is often missed by quantitative research.

For instance, a journey map may uncover a tremendous amount of online research in the discovery phase of a particular product or service. This would lead a brand to question how it appears on search engines and the content customers find when researching the product online. 

2. Get in tune with your customers at every step of the way.

Customer Journey Maps are visual aids that help understand the customers better at each touchpoint. It visually reveals patterns in customer behaviour and emotions, and once these are identified, brands have an account of the steps that are working and those with gaps.

3. Identify gaps in your CX and lead your customers intuitively through the funnel.

Customer Journey Mapping aims to understand each touchpoint and ensure measurement tools are in place to help monitor each customer interaction. 

For instance, for a travel website, a customer’s journey starts when they search for airline tickets and cover all the steps through research, queries, finding tickets, booking them, making a payment, and receiving confirmations and other travel-related information. It includes signing up for a newsletter, recommendations to book hotels, prompting the user to check-in, and offering additional information. In a retail setting, Customer Journey Mapping would include the signage, lighting, store layout, temperature, smell, comfort, and other physical elements in addition to interactions with the employees. 

Customer Journey Mapping helps you fill gaps and focus on areas that need improvement for an intuitive and seamless customer experience. 

How to Get the Most out of Your Customer Journey Map

The ultimate goal of a Customer Journey Map is to improve the customer journey and move prospects through the funnel. This is because inefficient systems and interactions cause frustration amongst users and prospects, impeding conversions and sales. 

Below are a few tips to keep in mind when researching your customer journey.

  • Some brands do a great job acquiring customers but are not good at activating. Therefore, brands should include every touchpoint, like packaging, labels, messaging and ads, and social voice.
  • A Customer Journey Map should be a combination of analytics and customer feedback. Therefore, brands must gather quantitative data from multiple sources, including call centre and CRM software, QR codes scanned, website and social media analytics, and other metrics.
  • It is essential to include post-purchase components into the Customer Journey Map. The relationship with the customer continues long after they purchase something. This helps you get repeat business, loyal customers, favourable reviews, and raving fans who will refer the product or service to others. 

How Market Research can help brands build Customer Journey Maps

So how do you use market research to help improve the customer experience? 

Let’s examine this with the example of a retail shoe store. You identified the salesperson as a critical touchpoint. You can use a focus group to experience the store just as they would if shopping for shoes. 

Ask them to identify the experiential element of each touchpoint, including what they see, smell, hear, and feel. The focus group will then prioritise what parts of the journey need improvement. They will provide insights on how easy it was to find what they were looking for, the annoying details, how the store stacks up to a competitor, and the customer satisfaction score. The brand can then build an action plan to improve the customer experience at their store. 

This is how the brand identifies gaps, determines development priorities, builds a plan to remedy the issues and bottlenecks, and allocates funds to optimise sales and Return on Investment (ROI). 

Customer Journey Mapping should be a combination of quantitative and qualitative methods. 

Market research and building Customer Journey Maps allow brands to compare what they believe the customer journey looks like and what it is like in reality. When you combine the metrics and data with sensory components, you can experience the journey through your customer’s eyes. This “outside looking in” approach will significantly improve the customer experience and revenues.

The Internet changed our lives forever. And now, the Internet of Things is transforming our lives yet again.

In recent years, we have seen several significant developments in technology. While these developments were already at play, the pandemic gave a big push and further accelerated the pace of adoption.

In today’s connected consumer world, the physical world meets the digital world,  and these two worlds cooperatively interact. Big data, analytics, and mobile technologies allow objects and devices to share and collect data over an interconnected network and with little human intervention. 

The benefits of using IoT are reduced costs, augmented productivity and efficiencies, and increased convenience. Ultimately, IoT is beneficial for brands and market researchers as it provides them with a wealth of information on consumer habits that they can utilise to increase their profitability.

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Definition of the Internet of Things (IoT)

According to Oracle, “the Internet of Things (IoT) describes the network of physical objects—“things”—that are embedded with sensors, software, and other technologies to connect and exchange data with other devices and systems over the Internet.”

Simply, IoT is when the products we use every day connect to the Internet and each other. 

Internet of Things (IoT) goes beyond consumer products and permeates many other industries. 

In recent years, one of the most significant developments in the Industrial Revolution is Industry 4.0, and it all began in the manufacturing sector.

What is Industry 4.0?

Industry 4.0 focuses on interconnectivity, automation, machine learning, and real-time data in the manufacturing industry. 

It allows manufacturers to maximise production and improve distribution, transportation, and product development. 

Industry 4.0 is the convergence of state-of-the-art manufacturing processes with the Internet of Things, which results in innovative, interconnected techniques that can communicate, analyze, and employ data to improve decision-making. This ultimately leads to optimizing, connecting, and automating operations.

Industry 4.0 was mostly restricted to the manufacturing industry in its early days but has expanded to benefit other sectors, like warehousing, logistics, and distribution.

Let’s delve into the opportunities for connected tech in other industries:

Healthcare

According to 1Mordor, “the connected medical device market is expected to register a CAGR of 18.92% over the forecast period from 2022 to 2027.” The same report showed the Asia Pacific region as the fastest growing market and North America as the largest market. 

Connected tech in healthcare is known as Connected Care. It is defined as the real-time, electronic communication between a patient and a medical provider, using digital tools such as remote patient monitors, telehealth, wearable technology, secure messaging, and mobile apps, to name a few. 

It is estimated remote monitoring for healthcare could be worth USD 1.1 trillion by 2025. 

Wearable technologies hold a significant share of this market as they provide real-time data so health care providers can help patients in remote locations. They provide convenience and cost-effectiveness by reducing multiple visits to the doctor’s office. With cardiac-related devices expected to be worth USD 800 billion by 2030, there is a massive opportunity for healthcare brands in the cardiac segment for wearables.

COVID-19 has impacted and accelerated the growth of this market. The pandemic brought about new ways of interacting with doctors remotely due to the nature of the pandemic and pressure on health systems and infrastructure. 

While there are data security risks involved, wearables can detect cardiac arrhythmia conditions causing stroke and allow neurologists to diagnose seizures from remote locations; the benefits of these products far outweigh any risks. 

Agriculture

According to Statista, the global market size of smart agriculture is expected to grow to USD 34.1 billion by 2026.

Connected tech in farming utilises sensors installed in plots or livestock farms. They help collect data, such as soil moisture and plant vigor, which is used to monitor the health of the crop or herd.

With environmental factors in play, the growing demand for food, constraints on the supply side, and changing consumption patterns, agriculture faces enormous challenges. While we have seen massive improvements in equipment and technology in the past five decades, a digital transformation using connected tech will lead us closer to sustainable solutions.

However, digitization in agriculture faces obstacles. In many regions of the world, connectivity is an issue. In areas where connectivity exists, the adoption of digital tools has been relatively slow. 

Therefore, we need to develop infrastructure to enable the use of connectivity. In areas where connectivity already exists, we must take the necessary steps to promote and encourage adoption. 

In addition to offering more effective production methods, higher quality food, and more transparency for consumers, smart agriculture can create sustainable production methods that save water, which lessens the impact on the environment and reduces production costs.

Inventory & Supply Chain Management

IoT devices help companies provide enhanced inventory monitoring capabilities and location tracking, leading to increased storage and distribution efficiencies. Companies can figure out where goods are delayed during transportation. 

With IoT data analytics at their fingertips, supply chain managers can plan better routes based on potential weather hazards, accidents, and road conditions.

Finance

IoT is the coolest kid on the finance block. It provides a network of internet-connected devices that collect and transmit data.

As banking goes digital, consumers enjoy more convenience in the usual banking processes. Banks can leverage technology to know the needs of their customers in real-time. IoT financial technology software can increasingly collect more data about transactions using built-in Artificial Intelligence (A.I.), enhancing efficiencies, security, and fraud protection.

Retail

IoT technologies help brands track products throughout their supply chain by utilizing GPS and Radio Frequency Identification (RFID). This allows brands to monitor and track where their products are at any given time and predict a more accurate delivery time. 

In a world of connected consumers, where they expect brands to be intuitive and relevant, IoT helps brands make deeper connections with their consumers by identifying unique behaviours and having the ability to offer what consumers want —when they want it.

How the IoT is Impacting Market Research

As discussed above, IoT is important to both consumers and businesses in almost every industry. 

So what does this goldmine of data mean for market research? 

Big Data has daily implications for consumers, businesses, and market researchers. The application of data plays a massive role in market research surveys, and so do data processing and analysis. With market research becoming more digital in data collection and analysis, traditional methods are not enough anymore. Therefore, IoT helps market researchers stay abreast of consumer habits and behaviour. 

Furthermore, IoT data is more accurate, reliable, and valuable to market researchers. 

It is estimated that, by 2030, roughly 125 billion devices will be connected to the Internet and used daily. Moreover, 5G connections enable the usage of connected devices more than ever before. 
Since there is a growing market for IoT, wearables, and smart technology, consumer feedback is a critical resource to help brands adopt the most compelling business, sales, and marketing strategies to maximise their return on investment.

Ultimately, the winning brands will not be the ones with the best, most innovative technology but the ones that have the perfect combination of innovation and ongoing customer behaviour analysis. This is where the role of market research cannot be ignored.

Four Ways IoT Impacts Market ResearchTracking consumer behaviour 

  1. Tracking consumer behaviour 
    IoT is a network of smart, connected devices that work through the Internet. The data is no longer just available on smartphones and computers but encompasses smart appliances, wearable technology, automobiles, and smart, interconnected devices. In a hyperconnected, digital-first world, the data provides a wealth of sights into consumer habits and behaviours.
  2. Analyzing consumer behaviour
    The business world is changing at warp speed, with older forms of consumer engagement becoming obsolete. Companies need to move with digitally empowered consumers and adopt digital data collection and analysis. IoT is an invaluable and more accurate tool for monitoring a product’s performance and consumer behaviour, preference, and attitude toward a product. IoT can inform brands on how and where they can improve their product and message.
  3. Predicting behaviour analysis to sell when consumers are ready
    IoT enables brands to know when consumers need something, benefiting brands and researchers. For instance, a smart car can predict when the oil change is due on a vehicle, carrying essential consumer data and information. This can be used to advertise locations that offer the service. Therefore, it boosts sales.
  4. Offering tailored experiences
    By integrating data analytics into their operations, brands can offer more tailored experiences and obtain information on consumer behaviour. Market research is beneficial here. For instance, in 2013, Disney World introduced the MagicBand. These wearable devices collect a wealth of data from hotel bookings, restaurants, and popular rides. Disney World can enable tailored offers using this data on behaviour by utilizing predictive analytics. 

Technology and consumer behaviour have drastically transformed in the last two decades. IoT provides data that can help market researchers understand consumers and their habits better than ever before, thereby enabling them to provide reports and analyses to brands that contain accurate, unbiased, action-oriented information free from human error. 

Data is at the heart of all research, and marketing research is no exception. It is the eyes and ears for a brand’s marketing initiatives. The data you gather — and its quality — will make a massive difference to how successful your research is, how accurate your findings are, and the impact on your business goals and strategies.

As a result, data collection is arguably the most critical market research stage. It can make or break the rest of the process, so it’s vital to do everything you can to make this stage run smoothly and successfully.

In this article, we’ll take a deep dive into why data collection matters in marketing research, the different types of data you should focus on, and all the options available to you when it comes to collecting that data. Let’s start by defining what data collection means.

What is data collection in market research?

Data collection entails gathering all the necessary raw information for your market research. Some people also extend the definition to include analysing that data to extract valuable insights for your research objectives.

It is a detailed, planned search process for all relevant data made by a researcher for a hypothesis.

The most critical purpose of data collection in market research is to ensure that reliable data is collected for statistical analysis so brands can make decisions backed by rich data. Therefore, your data must be high-quality, relevant, and plentiful enough to draw meaningful insights.

Why data collection is so important?

Data collection is a critical step in the research process, often the primary step. You can analyse and store essential information about your existing and potential customers when you collect data. This process saves your organisation money and resources, as you can make data-driven decisions. Data collection also allows you to create a library or database of customers (and their information) for marketing to them in the future or retargeting them.

Three main uses of data collection in market research:

  1. Data collection helps you make informed decisions and analyses, building complete and insightful market research reports that can drive future product launches, market-entry campaigns, marketing strategies, and more. Data collection is the foundational step for various activities that can lead to business growth.
  2. Data collection allows you to build a database of information about your market for future use. While your primary goal might be to create a research report with a specific objective, the data can still be helpful for future activities.
  3. Data collection allows you to target marketing and outreach more efficiently, thereby allowing your organisation to save money and do more with its resources.

The different types of data collection in marketing research

There are several different types of data to consider at this stage — let’s examine them more closely.

We can break down data into two main categories, which makes it easier to understand the types of data we want to focus on and helps us hone in on the research methods and channels that will be most useful.

Primary data

Primary data is collected directly by your researchers, specifically for your research purposes. This data is primarily collected from interviews, surveys, focus groups, and experiments. In other words, this data did not exist before your team collected it.

Secondary data

Secondary data refers to data that already existed before you started your research. Other researchers have already collected and compiled this data before. You can find this type of data in places like government reports, the analysis of other businesses, polls and surveys, and the work of NGOs. It’s typically cheaper and easier to obtain than your primary data, but it won’t be as relevant to your project.

Qualitative research

Qualitative research is usually the first step in data collection. It’s more textual than statistical and involves collecting non-numerical data like interview transcripts, video recordings, and survey responses.

Qualitative data is typically collected via first-hand observation through focus groups, interviews, and ethnography. It is a way of diving deep into ideas and concepts, allowing researchers to learn more about specific topics that may not be well understood.

Quantitative Research

Where qualitative research is relatively more text-based, quantitative research focuses on numbers and statistics. This data is expressed in charts, graphs, and tables and is typically used to test initial findings.

Methods used to collect quantitative data include more closed-ended survey questions, mobile surveys, and Likert scales. The main benefit of this type of data is that it allows researchers to make more broad generalisations and predictions, but it’s not well-suited for diving deep into particular questions.

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How data collection in marketing research works

There are many steps involved in the data collection process. Some of these steps begin even before you start collecting data.

Prior steps

There are several steps you should take before your data collection begins, such as:

・ Make sure you have all the necessary permission to collect your data. Today, data privacy laws are stronger than ever, so researchers need to take extra care to comply with regulations and have the full consent of their subjects and participants. It’s best to work with a legal compliance team to draft all the required documents, forms, and contracts to share with your research participants from the very beginning.

・ Make sure you have the support of any company decision-makers and stakeholders. It may be helpful at this stage to prepare a preliminary report informing any higher-ups of your plans, goals, sources, and any methods you plan to use.

・ Try to predict and pre-empt any possible challenges or problems, such as privacy regulations, collection methods, infrastructure, or budget. Anticipating any issues now will help you avoid costly problems and make the whole process run more smoothly.

・ Put together a team of skilled and qualified researchers and analysts. Data collection can be a difficult task, and you need to have the right experience and skillsets on your team.

Decide on your data collection methods.

The next stage is to decide which data collection methods you will use to collect data for your marketing research report. You will likely employ various methods here, as each has unique pros and cons. Here are the main methods you should consider:

・ Surveys

There are many ways to conduct surveys — in-person, online, post, email, mobile message, others. Surveys differ in content and structure — from simple Likert scales with just five possible numerical responses to more qualitative open-ended questions.

・ Focus groups

Focus groups allow you to bring multiple participants together to discuss the subject of your research and share their opinions. This format can be a great way to brainstorm ideas, and people can often bring good ideas out of each other. To get the best results, everyone should get a chance to speak, and no one person should dominate the group.

・ Interviews

One-to-one interviews are the best ways to dive deep into a person’s opinions about your brand or a specific product. However, they can be time-consuming and may require much planning.

・Observation and experimental research

This type of data collection involves observing individuals as they interact with specific products or services. It helps get around certain biases that people might have in interviews and surveys and cut right through to their true thoughts. However, it isn’t easy and requires an expert touch to get it right.

Identify and prepare for common challenges with data collection.

During the data collection process, you’re likely to encounter several challenges. The good news is that you can avoid these challenges and mitigate any impacts on your research report with proper preparation.

Here’s what to look out for:
・Bad methodology results in poor quality data

A lot can go wrong with your data collection methods — badly identified participants, poorly designed questions, and choosing the wrong methods are just a few examples. This can result in poor quality data, leading to erroneous conclusions and an unsuccessful research report. Take the time to work with experienced researchers and build the right data collection strategy for your needs.

・Logistical challenges

You will also come across many logistical challenges. For instance, you’ll need a big venue to hold everyone if you’re running a focus group. If you want to conduct a stream of interviews, you’ll need to hire a space for a particular time. You may need to arrange transport, refreshments, and a wide range of other logistical demands. If you fail to plan this properly in advance, your team could find itself in a highly stressful situation.

・Using the proper channels

The channels you use to connect with your audience are consequential — what works well for one demographic might completely fail for another. If you choose the wrong media (like Twitter to send surveys to an older demographic), you could have a poor response rate and lack usable data.

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How to collect data effectively

Get to know your audience.

You will need to have an intimate and deep understanding of your audience and the people you collect data from. This will ensure you target the right people, ask the appropriate questions, choose the correct methods and channels, and analyse the data in the proper contexts.

There are many ways to get to know your audience better in advance of data collection:

・ Use social media to spend time in the same spaces and groups as your audience members, chat with them, and find out who they are and what makes them tick.

・ Work with your sales and marketing teams — it’s their job to understand your audience, and they’ll have access to valuable insights.

・ Look at who is using your competitors’ brands and products.

Once you understand whom you target, it often helps create detailed user personas, outlining details about your typical audience members like their age groups, income brackets, and education levels. You can then use this information to tailor your data collection strategy to be relevant and valuable.

Prepare for the analysis of your data.

Collecting data is one thing, but you should always have an eye on the analysis of that data. This is where you extract insights and draw tangible value from the data — allowing you to make informed business decisions and create a valuable and applicable market research report.

When planning your collection methods and recording the results, always remember that someone will be analysing this data. Be organised, clear, and detailed, and work with your analysts to ensure they are aligned with your approach.

Use a wide range of methods and channels.

The best data collection relies on various tools and channels instead of focusing on just one or two. By combining a number of the approaches mentioned in this article, you will connect with a broader part of your market, gaining a better understanding of how different demographics feel and leading to a more valuable and insightful analysis.

For example, if you focus solely on digital channels like social media and online surveys, your responses may skew heavily towards younger people. Some in-person interviews, focus groups, and postal surveys help target a broader range of age groups and accurately reflect your market and their views.

Data collection is a critical part of market research. It serves many important purposes, and it is essential to get it right to create effective research reports and complete a vast range of different business objectives.

At Kadence, we help companies worldwide fine-tune their data collection, laying the foundations for informed and effective market research.

Contact us to learn more about how we can help you do the same.

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.