In market research, the collection and use of data raise several ethical considerations, such as obtaining informed consent, protecting the privacy and confidentiality of participants, avoiding deceptive practices, and ensuring data accuracy. 

Ethical guidelines, such as the International Chamber of Commerce’s ICC/ESOMAR International Code on Market and Social Research, provide a framework for conducting market research responsibly and respectfully. Additionally, industry-specific regulations, such as the General Data Protection Regulation (GDPR) in the European Union, further regulate the collection and use of personal data. Brands and their market research teams must be aware of these ethical considerations and guidelines to ensure the validity and credibility of their research findings and maintain the trust of their participants.

The Importance of Ethical Data Collection

The ethics of data collection play a crucial role in the credibility and validity of market research findings. When data is collected ethically, participants can trust that their personal information is handled responsibly and securely. 

This trust is essential for accurate research results, as participants are more likely to provide honest and complete answers when they feel their privacy and confidentiality are protected.

“The right to privacy is a fundamental human right, essential for the protection of human dignity and autonomy.” – Justice Michael Kirby.

Additionally, ethical data collection practices help to maintain the reputation and credibility of the market research industry. Deceptive or unethical practices can damage the reputation of both the individual researcher and the industry as a whole, leading to a loss of trust from participants, clients, and stakeholders.

It is also a legal obligation for researchers to adhere to ethical standards and regulations, such as the GDPR. Failing to comply with these regulations can result in significant fines and legal consequences, damaging the reputation of the research company and potentially impacting its ability to conduct research in the future.

Stay ahead

Get regular insights

Keep up to date with the latest insights from our research as well as all our company news in our free monthly newsletter.

Data Privacy Laws Around the World

Data privacy laws vary by country, but here is an overview of some of the most notable data privacy laws in different regions worldwide.

It is important to note that these laws are subject to change and that organisations should stay informed about their regions’ latest data privacy laws and regulations.

UK: The General Data Protection Regulation (GDPR) applies to organisations operating in the EU, including the UK. The GDPR requires organisations to obtain explicit consent from individuals before collecting and processing their personal data.

Europe: The General Data Protection Regulation (GDPR) applies to organisations operating in the EU. It sets out strict rules for collecting and processing personal data, including the right to erasure and data portability.

USA: The United States does not have a comprehensive federal data privacy law, but some states have enacted their own privacy laws, such as the California Consumer Privacy Act.

Canada: The Personal Information Protection and Electronic Documents Act (PIPEDA) governs the collection, use, and disclosure of personal data in Canada. Organisations must obtain explicit consent before collecting personal data and must protect the privacy of the data they collect.

Thailand: The Personal Data Protection Act (PDPA) became effective in May 2020 and governed the collection, use, and disclosure of personal data in Thailand. Organisations must obtain explicit consent before collecting personal data and must protect the privacy of the data they collect.

Philippines: The Data Privacy Act of 2012 governs the collection, use, and disclosure of personal data in the Philippines. Organisations must obtain explicit consent before collecting personal data and must protect the privacy of the data they collect.

Japan: The Act on the Protection of Personal Information governs the collection, use, and disclosure of personal data in Japan. Organisations must obtain explicit consent before collecting personal data and must protect the privacy of the data they collect.

Indonesia: The Personal Data Protection Law governs the collection, use, and disclosure of personal data in Indonesia. Organisations must obtain explicit consent before collecting personal data and must protect the privacy of the data they collect.

China: The Cybersecurity Law of the People’s Republic of China governs the collection, use, and disclosure of personal data in China. Organisations must obtain explicit consent before collecting personal data and must protect the privacy of the data they collect.

Singapore: The Personal Data Protection Act (PDPA) governs the collection, use, and disclosure of personal data in Singapore. Organisations must obtain explicit consent before collecting personal data and must protect the privacy of the data they collect.

India: The Personal Data Protection Bill, 2019, governs the collection, use, and disclosure of personal data in India. The bill requires organisations to obtain explicit consent before collecting personal data and to protect the privacy of the data they collect.

Vietnam: The Personal Data Protection Law governs the collection, use, and disclosure of personal data in Vietnam. Organisations must obtain explicit consent before collecting personal data and must protect the privacy of the data they collect.

Examples of Brands Fined for Violating Data Privacy

These are just a few examples of the many brands that have faced fines for violating data privacy laws. It is essential for companies to take data privacy seriously and to comply with the relevant laws and regulations to avoid similar consequences.

  1. Google was fined €50 million by the French data protection authority (CNIL) in January 2019 for violating the General Data Protection Regulation (GDPR).
  2. Facebook was fined $5 billion by the Federal Trade Commission (FTC) in July 2019 for violating its users’ privacy rights.
  3. Marriott International was fined £18.4 million by the Information Commissioner’s Office (ICO) in July 2019 for a data breach affecting approximately 339 million guests.
  4. British Airways was fined £20 million by the ICO in July 2019 for a data breach affecting approximately 500,000 customers.
  5. Equifax was fined £500,000 by the ICO in September 2018 for a data breach affecting approximately 15 million UK citizens.

The Ethics of Data Privacy

Data privacy is a critical aspect of ethical data collection in market research. The personal information of participants must be protected and kept confidential to maintain their trust in the research process and to prevent potential harm or abuse of their data.

One of the key ethical considerations in protecting consumer data privacy is obtaining informed consent. Participants must be fully informed about how their data will be collected, used, and stored, and they must give explicit consent for their information to be used in the research. This includes informing participants who will have access to their data, for what purposes it will be used, and for how long it will be stored.

“Data is the new oil, but privacy is the new gasoline.” – Unknown.

Another important consideration is data security. Market researchers must implement appropriate measures to secure the collected data, such as encryption and secure storage solutions, to prevent unauthorised access and to protect participants’ information from theft or breaches.

It is essential for market researchers to be transparent and honest about their data collection practices. Deceptive or misleading practices, such as collecting data without obtaining proper consent or using data for purposes outside of what was initially disclosed, can severely damage the trust of participants and harm the reputation of the market research industry.

The concept of data privacy has been a concern for individuals and organisations for many decades. Still, it has become increasingly relevant in recent years with the rapid growth of technology and the increasing amount of personal data collected and stored by organisations. Here is a timeline of some key events related to data privacy and notable data breaches by year:

  • 1970s: The first privacy laws, such as the US Privacy Act of 1974, are enacted in response to government data collection and storage concerns.
  • 1980s: The first computer viruses were discovered, and the threat of data breaches became more prominent.
  • 1990s: The rise of the internet and the increasing use of personal computers leads to concerns about online data privacy.
  • 2000s: The growth of social media and the increasing amount of personal data collected by organisations leads to increased privacy concerns.
  • 2005: The first large-scale data breach, involving the theft of millions of credit card numbers by one of the largest credit card processors in the United States, CardSystems Solutions, is reported. The breach was one of the first large-scale data breaches to receive widespread media attention and raised concerns about the security of personal data stored by organisations. The breach resulted in the loss of credit card information for 40 million individuals and prompted a number of major credit card companies to reissue their customers’ credit cards. The breach also led to increased scrutiny of data security practices by organisations and a call for stronger data privacy laws to protect consumers.
  • 2013: The first high-profile data breach involving the unauthorised access of personal data, such as names, addresses, and social security numbers, is reported. Hackers stole 40 million credit card numbers and 70 million other pieces of information, such as names, addresses, and phone numbers, from the retailer’s database. The breach was one of the largest data breaches to date and resulted in widespread media coverage and concern about the security of personal information stored by organisations. The breach also increased scrutiny of data security practices and calls for more robust data privacy laws to better protect consumers. This event highlighted the need for organisations to take data privacy and security seriously, implement strong security measures, and regularly review and update their practices to stay ahead of evolving threats.
  • 2018: The European Union’s General Data Protection Regulation (GDPR) goes into effect, setting new standards for data privacy and security in Europe.
  • 2019: The Capital One data breach, involving the theft of personal data of over 100 million individuals, is reported.
  • 2020: The Zoom video conferencing platform becomes widely used due to the COVID-19 pandemic, leading to concerns about the security of personal data being transmitted over the platform.

The Ethics of Data Use

The use of collected data is just as important as the collection process in terms of ethical considerations. Market researchers are responsible for using the data they collect in a manner that is respectful, non-discriminatory, and in line with the initial purpose for which it was collected.

One key consideration is avoiding discriminatory practices. Market research data must not be used to make decisions that unfairly impact or discriminate against particular groups based on race, gender, religion, or sexual orientation. Researchers must also ensure that their findings are not used to perpetuate negative stereotypes or to support biased viewpoints.

“Ethics is knowing the difference between what you have a right to do and what is right to do.” – Potter Stewart.

Another important consideration is maintaining the confidentiality of participants’ information. Researchers must not use collected data in a manner that violates participants’ privacy, such as by sharing it with third parties without proper consent. The data must be used only for the purposes for which it was collected and must be kept confidential to the extent required by law or ethical guidelines.

The Importance of Consent

Obtaining informed consent from consumers is crucial to ethical data collection in market research. It is essential for market researchers to respect the privacy rights of participants and to ensure that they fully understand how their data will be used and what they agree to when they provide it.

Informed consent means that participants clearly understand the purpose of the research, how their data will be collected, used, and stored, and the consequences of participating or not participating in the research. Participants must also be allowed to opt-out of the research or withdraw their consent at any time.

When participants provide their informed consent, it demonstrates their trust in the market research process and their willingness to participate. This trust is essential for accurate research results, as participants are more likely to provide honest and complete answers when they feel their privacy and confidentiality are protected.

However, obtaining informed consent also protects the rights of participants and ensures that their data is not being collected or used without their knowledge or permission. Market researchers must be transparent and honest about data collection and use practices to build trust and credibility with their participants.

Data Security and Protection

Data security and protection are crucial components of ethical data collection in market research. Market researchers are responsible for implementing appropriate measures to secure the collected data and prevent unauthorised access, theft, or breaches.

One key consideration is using secure storage solutions, such as encrypted databases, to store collected data. This helps to prevent unauthorised access to the data and to ensure that it is protected from potential breaches.

Another critical consideration is controlling access to the collected data. Market researchers must limit access to the data to only those who need it. They must have appropriate security measures, such as password protection, to prevent unauthorised access.

Additionally, market researchers must have procedures in place to detect and respond to data breaches if they occur. This includes regular monitoring of the security of collected data and having a plan to quickly address any breaches and take appropriate action to prevent future violations.

The Role of Industry Regulations

Industry regulations play a significant role in shaping the ethics of data collection in market research. Regulations such as the General Data Protection Regulation (GDPR) in the European Union and similar laws in other regions set standards for the collection, use, and storage of personal data and provide guidelines for protecting the privacy rights of individuals.

Market researchers must comply with these regulations and follow the established guidelines to ensure that their data collection practices are ethical and in line with the law. This includes obtaining informed consent from participants, protecting the privacy of collected data, and ensuring that data is not used in a discriminatory manner.

Industry regulations also set data security and protection standards, requiring market researchers to implement appropriate measures to secure collected data and prevent breaches. These regulations also give individuals the right to access their personal data and to request that it be deleted or corrected if it is inaccurate.

Ethical Considerations in the Use of Big Data

The use of big data in market research presents several ethical considerations, including data bias and algorithmic transparency. Market researchers must be aware of these considerations and take steps to ensure that their use of big data is ethical and in line with industry regulations.

Data bias refers to the inherent biases that exist in data sets, which can result in inaccurate or skewed results if not properly addressed. For example, suppose a data set used in market research predominantly consists of data from one demographic group. In that case, it may not accurately represent the experiences or opinions of other groups.

To address data bias, market researchers must be aware of their data sources and take steps to ensure that their data sets are representative and diverse. This may include sourcing data from multiple sources and using techniques such as oversampling to increase the representation of underrepresented groups.

Algorithmic transparency is another important consideration in using big data in market research. Algorithms used to analyze data can contain biases and make decisions that are not transparent or easily understood. To address this issue, market researchers must ensure that the algorithms they use are transparent and can be audited and that the decisions made by algorithms are easily explainable and free from bias.

Best Practices for Ethical Data Collection

Best practices for ethical data collection in market research include:

  • Having a clear privacy policy.
  • Obtaining informed consent.
  • Implementing appropriate data security measures.

By following these best practices, market researchers can ensure that their data collection practices are ethical, respectful of participants’ privacy rights, and in line with industry regulations.

Having a clear privacy policy is essential for ethical data collection. This policy should outline the type of data that will be collected, how it will be used, and who will have access to it. Participants should be able to understand the privacy policy easily and have the option to opt-out of data collection if they choose.

Obtaining informed consent is another key best practice for ethical data collection. Market researchers must inform participants about the data that will be collected and how it will be used and obtain their explicit consent before collecting any data. Participants should also have the option to withdraw their consent at any time.

Data security is also essential for ethical data collection. Market researchers must implement appropriate measures to secure collected data, such as encryption and secure storage, and take steps to prevent breaches and unauthorised access.

Checklist of Best Practices for Ethical Data Collection

By following this checklist of best practices for ethical data collection, market researchers can ensure that their data collection practices are responsible, honest, and in line with industry standards.

  1. Develop a clear privacy policy: Outline the data collection type, how it will be used, and who will have access to it.
  2. Obtain informed consent: Inform participants about the data that will be collected and how it will be used, and obtain their explicit consent before collecting any data.
  3. Implement data security measures: Encrypt collected data and store it securely to prevent breaches and unauthorised access.
  4. Respect the right to privacy: Allow participants to opt-out of data collection and allow them to withdraw their consent at any time.
  5. Avoid discriminatory practices: Ensure that collected data is used ethically and avoid discriminatory practices.
  6. Comply with industry regulations: Stay informed about industry regulations, such as GDPR, and ensure that your data collection practices align with these regulations.
  7. Consider the ethics of big data: Be aware of ethical considerations related to the use of big data, such as data bias and algorithmic transparency.
  8. Maintain transparency: Be transparent about your data collection practices and clearly communicate your privacy policy to participants.
  9. Conduct regular review: Regularly review your data collection practices to ensure that they are ethical and in line with industry standards.
  10. Educate yourself and your team: Stay informed about best practices for ethical data collection and educate yourself and your team on the importance of responsible data practices.

Using Market Research Agencies and Ethical Data Collection

By outsourcing market research to a trusted third-party firm, brands can have peace of mind knowing that experts in the field are handling their data collection practices and that appropriate measures are in place to protect consumer privacy. 

However, it is still crucial for brands to thoroughly vet and monitor the practices of their market research partners to ensure they meet their privacy and security standards.

Using a third-party market research firm can provide several benefits for brands regarding data privacy in market research. Some of these benefits include:

  1. Expertise: Market research firms often have specialised knowledge and experience in data privacy and security, which can help ensure that data collection and storage practices comply with applicable laws and regulations.
  2. Resources: Market research firms often have the resources and technology to implement robust security measures and respond to data breaches.
  3. Independence: Using a third-party market research firm can provide a level of independence and objectivity in data collection and analysis, which can help mitigate concerns about bias and privacy violations.
  4. Reputation: Market research firms have a reputation to maintain and are motivated to ensure that data privacy and security practices are of the highest standard.

Summary

The ethics of data collection in market research is an important and complex topic that must be carefully considered. By understanding the importance of ethical data collection, market researchers can ensure that they are protecting consumer data privacy, using collected data in an ethical manner, obtaining informed consent, and implementing appropriate data security measures.

The ethics of data collection is not only a matter of legal compliance but also a matter of maintaining the integrity of market research and respecting the rights of consumers. 

By following best practices for ethical data collection and staying informed about industry regulations and trends, market researchers can ensure that their data collection practices are responsible, honest, and in line with industry standards.

In summary, understanding the ethics of data collection in market research is essential for protecting consumer data privacy, maintaining the integrity of market research, and ensuring responsible data practices. Market researchers must be aware of the importance of ethical data collection and ensure that their data collection practices align with industry standards and best practices.

Big data and advanced analytics are hot. Voluminous sets of data can be processed automatically using technology. But the data becomes useful only when it is converted into meaningful information. While Big Data has become the buzzword today, it is of little use if it’s not profitably analysed.

The global Big Data and Analytics market is worth USD 274 billion. Around 2.5 quintillion bytes worth of data is generated each day. There are currently over 44 zettabytes of data in the entire digital universe.

So what is big data exactly, and how does it impact companies?

Stay ahead

Get regular insights

Keep up to date with the latest insights from our research as well as all our company news in our free monthly newsletter.

Big data refers to large sets of data obtained from multiple sources, like medical records, government records, customer databases, mobile applications, search engines, business transactions, social networks, and other massive data sources. Big data may be structured or unstructured, allowing brands to manage large amounts of data more efficiently. Many organizations are moving away from legacy systems and consolidating data to make the research process seamless, cost-effective, and efficient. 

Technologies like text analytics help 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. 

Big data market research is invaluable for brands as it combines consumer and behavioural data with advanced analytics to enable faster decision-making that yields improved business outcomes. When big data and market research converge, everyone wins because it results in better, more relevant products and services for the consumer and a competitive advantage for the brand.

Big data and market research convergence allow brands to dig into data to uncover the “why” behind the numbers. Let’s say, for instance, a brand uses data mining to discover a sudden decline in the market share for a high-end product in a specific market. Using market research methodologies, it studies a sample of consumers that have exhibited a change in buying behaviour to unearth what led to the change. Was it a new product that entered the market, or did they reduce spending due to the economic climate?

These reasons are not presented in the data, and market research can help uncover the “why” behind a data set. 

Today, the digital consumption of information, products, and media makes everything measurable on a large scale. Social media analytics is an example of big data used on a massive scale globally. 

How does big data impact business?

A 2020 study showed that around 94 percent of organizations believe data and analytics are essential to growing their brand and supporting digital transformation. The study also found that the financial, hospitality, telecoms, and retail industries invest the most in big data and analytics. 

Big data in the Banking and Financial Services sector

The application of big data analytics has allowed financial services companies and banks to become more efficient, customer-centric, and competitive. This industry utilises big data to make transactions, trading, and financial activities seamless for their employees and customers.

Retail and eCommerce

The eCommerce and retail industries collect data through their Point of Sale (POS) systems, loyalty programs, and website browsing behaviour. It also helps with inventory replenishments. 

In the eCommerce industry, knowing your customers can unlock conversions and profits. Big data on real-time consumer behaviour, purchase history, and consumer preferences can help online stores recommend the most relevant products and offer them to consumers at the right time. Big data enables e-stores to conduct competitive analyses and pricing to lure consumers. Above all, technology allows online retailers to offer personalization, superior customer service, and experience.

While these industries invest heavily in big data, they are not the only ones. Many sectors like manufacturing, logistics, media, oil and gas, and healthcare are investing large sums of money in adopting this technology to manage their data efficiently. 

Big Data analytics for the healthcare industry is expected to reach USD79.23 billion by 2028. 

For most companies, data is fragmented, and brands are looking for people who can analyze and use data to optimise all business processes and functions. 

Big data impacts not only the private sector but also the public sector. For governments, big data has many applications, including health-related research, financial markets research, fraud detection, public safety, transportation, and environmental protection, to name a few. 

Advantages of Big Data 

Massive organizations like Google, Facebook, and Amazon have proved how big data can build big brands. These organizations have capitalised on big data mining and analytics to grow their brands and boost market valuations. 

One of the most significant advantages of big data is the ability to make informed decisions based on hard data and facts. 

Big data is valuable for consumers too. In the information age, the consumer can access ratings, product reviews, and an easier means of providing instant real-time feedback. This allows consumers to make informed choices. 

What are the challenges with big data and analytics?

As recently as last year, Facebook’s Mark Zuckerberg, Google’s Sundar Pichai, and Jack Dorsey of Twitter had to testify before Congress about the steps they have taken to deal with data privacy. 

Consumers have become more data savvy and are concerned with privacy issues and breaches. <add stats on #s ready to share data for more relevant messaging)

Business outcomes are only as good as the data; high-quality data (link) is of utmost importance. Researchers and brands must be cautious about the data sources and methodologies to obtain the most accurate, reliable, and relevant data. 

The big data market is poised for phenomenal growth in the coming years. With the development of technology penetration across all areas of life, digitization, and the widespread use of smartphones globally, large amounts of data are produced every second. This has led to the need for data analysis and big data. 

As brands apply big data, they make data-driven decisions faster and can respond quickly to market changes. This has a direct impact on their bottom line. But data is not enough; there has to be a fusion of data science with marketing science to help market research become more effective.

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. Fill out our Request for a Proposal here.

According to the Global Research Business Network (GRBN), confidence in the market research industry has remained stable, and trust in data analytics has increased in 2022 compared with 2020. 

Still, market research as an industry needs to constantly work to improve the perceived value of research. The way to ensure this happens is by addressing the main challenges of obtaining high-quality data. 

The importance of data collection in market research cannot be emphasised enough. This blog post will analyze the main obstacles brands face in this area and provide guidance on how market researchers can tackle these challenges with the help of technology. 

The methods you use to collect and analyze data will significantly impact the quality of your market research report and its value in decision-making. The five best data collection tools for market research are surveys, interviews, focus groups, observation, and secondary sources. 

Understanding the best methodology to get the most accurate, error-free, and reliable data is essential. 

Stay ahead

Get regular insights

Keep up to date with the latest insights from our research as well as all our company news in our free monthly newsletter.


What is data quality?

Data quality is a complex, multi-faceted construct. Quality data is data that is fit for its purpose and closely relates to the construct they are intended to measure. 

Let’s take the example of a brand like Amazon’s Audible and try to predict what type of books a person would be interested in based on his previous listening history. The data is likely high quality because the books subscribers have listened to in the past are a good predictor of what they would like to consume in the future. The books they have listened to in the past also have a close relationship with what you are trying to measure, in this case, book preferences, which makes the data high quality. 

Reliable data requires a high-quality sample with enough information to make conclusions that inform business decisions. For instance, in the same example of Audible, if a subscriber uses it only once in a while and has only listened to one book in six months, it fails to present a complete picture of the user’s preferences due to limited data or information available. 

In the example used above, the data is available in the app and is much easier to collect. However, this is not always the case. Many instances of market research involve collecting data from people taking surveys, user testing, or recollecting past experiences and feedback, which are much more challenging to measure. 

So how do you ensure you collect high-quality data that informs decision-making at every step of the organization? 

Utilise technology 

As the world has moved online, so have many market research methodologies. Many companies have been forced to move online quickly, which has been a blessing in disguise for them. Technologies like automation and Artificial Intelligence (A.I.) have allowed brands to obtain transparent, reliable, and accurate data more efficiently.

Technology can also be beneficial in identifying bad data. Automation helps select the best pool of candidates for a study and helps achieve a more balanced view of the respondents. It can help reduce subjectivity and bias, scale costs, and improve project speed and efficiency. 

Advanced profiling

To yield high-quality data, you must obtain a 360-degree view of the user or consumer. A good data scientist will study the consumer using all critical data points, like browsing history, purchase history, online behaviour, cart abandonment, geolocation, and other relevant data.

Proper Planning

Excellent outcomes need proper planning, which is valid for everything, including market research. The entire team must understand the research study’s objectives before doing anything else, including all the early actions, like identifying the right participants for the study. Researchers can then create a sample plan based on key objectives and participants. This will become the basis of the methodologies used and the survey designs. A good market research study also employs a screener to ensure they only include participants relevant to the study. 

Recruit the right people

At Kadence, we firmly believe your research is only as good as the people participating in your study. When carrying out a virtual study or focus group, it is vital to make sure people doing the testing or surveys are genuine and suitable for the particular study. Researchers must hunt down even the most difficult-to-reach audiences, as you need the right people for the research to yield unvarnished results. 

Ensure complete and active participation

Making surveys more engaging will always lead to higher participation in online surveys. A well-designed survey with clear instructions will ensure higher participation and more honest responses.

Throughout the survey, researchers can include questions to ensure participants are paying attention and potentially weed out those who are off-track and disengaged.

Screening dishonest participants

Researchers can go a step ahead to eliminate dishonest survey participants. Online surveys can identify potential red flags where people provide false demographic information so they can qualify for studies with high rewards. 

Researchers can selectively target participants who have been profiled in the past to avoid participants with false demographic information. 

Develop a system of efficient, consistent data quality checks throughout the process

Market researchers should always have an effective and efficient plan for weeding out bad data throughout the study. Automating and utilizing suitable technology can ensure you safely streamline the quality check process in real time.

A critical challenge with market research is the ethical collection and use of data. Discover why ethics are vital in data collection and how to ensure your data collection is always on the right side of law and ethics here:

The ultimate goal of market research is to obtain high-quality data that is accurate, relevant, and reliable. While well-planned and thoughtfully designed studies can yield effective results to inform decision-making, poorly planned and designed ones can lead to poor business outcomes.

The stakes are always high, so it is crucial for brands and researchers to constantly improve data quality and reliability to save time, money, effort, and resources and lead to better, more informed business decisions. 

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.

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.

Stay ahead

Get regular insights

Keep up to date with the latest insights from our research as well as all our company news in our free monthly newsletter.

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.

Stay ahead

Get regular insights

Keep up to date with the latest insights from our research as well as all our company news in our free monthly newsletter.

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.

Every market research report begins with data collection, and this stage of the process influences how everything else goes. If you collect high-quality data from relevant sources and use the proper channels, you’ll boost your chances of creating a clear, accurate, and valuable report.

Data collection is at the heart of market research. If you do data collection wrong, the result could be an essentially useless market research report, wasted money, and poorly informed business decisions. Therefore, you need to use the right data collection tools.

The methods you use to gather your data in the early days of the market research will majorly impact the quality of the data and the effectiveness of your research report. This article will look at the best data collection tools available for market research and why they’re so helpful.

Five essential data collection tools for Market Research

1. Surveys

Surveys are one of the most versatile and established ways of collecting data. They come in all shapes and sizes but typically follow the same rough pattern — a series of questions aimed at gathering opinions and experiences around a specific thing like a product, marketing campaign, or brand.

One of the best things about surveys is the number of channels they can be shared through:

  • In-person paper surveys
  • E-mail
  • Social media
  • Your website
  • Postal
  • Mobile message
  • In-app surveys

The list is almost endless. You’ve probably encountered the series of buttons in public toilets and areas like airports asking you to rate your experience quickly — that’s a fundamental type of survey aimed more at measuring customer satisfaction than market research.

Surveys can be designed in several ways. More qualitative surveys ask open-ended questions like, “What did you like about this product?” They encourage extended, detailed answers to allow deep dives into the data.

On the quantitative side, surveys may use a Likert scale — a series of points (for example, Strongly Disagree, Disagree, Neither Agree nor Disagree, Agree, Strongly Agree). These types of surveys are much more restrictive for the respondent but allow you to gather more numerical data to prove existing hypotheses and create charts and graphs.

2. Interviews

Like surveys, interviews are another way of gaining a deep and personal insight into an individual’s experiences and opinions on a topic. Interviews are incredibly qualitative and the only reliable way of getting an individual’s uninterrupted views on a topic in real-time. Interviews allow for the most profound and unfiltered responses of all the data collection methods listed here.

There are many ways to conduct an interview. Some methods are highly structured with a clear set of questions and the interviewer firmly guiding the conversation. Others can be more informal, with the interviewee free to talk about their experience at length without much input. Interviewers need to ensure they don’t nudge the respondent towards specific answers or encourage bias.

In the past, interviews could only be conducted face-to-face, introducing challenges around finding the time, space, and staff to carry them out. Today it’s possible to conduct interviews via phone call or video chat, making it much more manageable. However, these methods risk missing out on the body language cues and subtle gestures that can spark further questions.

3. Focus Groups

Focus groups bring multiple people together to discuss a particular topic (for example, a new product) and share their experiences and thoughts.

Focus groups can be helpful for several reasons — they help you gather multiple opinions at once, promote healthy discussion, and allow you to be more economical with your time and space. The best focus groups bring together people from diverse demographics and backgrounds.

It is vital to make sure one or two more assertive people don’t dominate your focus group. To prevent this, make sure to moderate the group effectively and allow everyone to have their say. At the same time, be mindful of people adapting their opinions to fit the overall group consensus.

4. Observation

Observation is a time-tested method of data collection that, when done right, allows researchers to gather large amounts of unbiased and unfiltered feedback. It works by giving the participant a series of questions or asking them to share their thoughts on something (like a product) in real-time.

During this process, the observer does not interfere with the participant. They watch closely and note the participant’s non-verbal reactions like facial expressions and body language. The idea is that participants’ verbal responses can be influenced by bias and tailored by the person. However, nonverbal behaviour is much less easy to control and may reflect a more honest reaction.

Observation can be an advantageous way of cutting to the root of what a person believes about a product. You should attain your participant’s full consent before the process begins. You should also be careful not to draw overly firm conclusions from the interpretation of their body language — which should be viewed as a guide.

5. Secondary sources

There are several options here, and depending on your market and research purposes, there may be a great deal of data already available. In addition to the primary methods discussed above, researchers can also look at data that others have already collected. Here are some examples of secondary data for market research:

  • Government reports. While these are not usually specific to any business needs, they can still be beneficial. Government surveys and reports contain data about income brackets, spending behaviour, customer attitudes, and more. Combined with other data collection activities, this can help you better understand your target market, build more accurate customer profiles, and improve your marketing, among other benefits.
  • NGO resources. Non-governmental organisations frequently research a range of subjects. Much of the data they collect is relevant to marketers for similar reasons as government reports.
  • Business reports. Other companies, industry groups, and market research organisations regularly create detailed research reports that you may be able to access and use. These often don’t come cheap, but they can provide valuable insights into your target market — essentially doing a lot of your work.
Stay ahead

Get regular insights

Keep up to date with the latest insights from our research as well as all our company news in our free monthly newsletter.

Data collection is one of the most important tasks you’ll carry out in your market research efforts. At Kadence, we help companies worldwide with every stage of the research process, including collecting and analysing precisely the correct data. Contact us to find out how we can help you do the same.

Businesses strive daily to provide what customers want. Their success depends mainly on how well they understand the needs and motivations of their target audience. 

In the past, this frequently translated into a scattershot approach to meeting customer demands—build more products, design more features, and so on—with, at best, a goal of growing sales. 

But this slapdash strategy occasionally resulted in overspending, overcommitment of resources, and other strains on business operations that could threaten the business’s existence. 

The organised process of data collection in market research has changed all that. Now the focus is on collecting and analyzing high-quality data—information relevant to meeting customer demands—and how this data is obtained. The goal is the “systematic method of collecting and measuring data gathered from different sources of information,” as Medium notes, adding that an “accurate evaluation of collected data can help researchers predict future phenomenon and trends.”

Broadly speaking, there are two chief forms of data:

  • Primary data refers to first-hand information gathered straight from a primary source. 
  • Secondary data encompasses information found in public records, trend reports, market statistics, etc. 

Armed with high-quality data, businesses can better understand their prospective customers—what they want, what they already like, where they conduct their research, and much more. Companies come away with a deeper grasp of their markets, how their products will benefit that market, and the potential challenges they may face later. 

At its best, market research offers a blueprint of how a brand can move forward while avoiding the pitfalls it might otherwise encounter (without the benefit of high-quality data). 

It’s helpful to remember that a wealth of relevant data may already exist in your company. Information gleaned from business analytics and customer service scores offer vital insights into why consumers act the way they do. It’s an excellent place to begin research and avoid any duplication in data mining. 

What sources of data collection work best? What should brands know about the methodologies employed to acquire and measure such data?

Stay ahead

Get regular insights

Keep up to date with the latest insights from our research as well as all our company news in our free monthly newsletter.

The Value of Quantitative and Qualitative Data

Within the broader scope of primary and secondary data, there are other aspects of data collection worth noting:

  • Quantitative research relies on hard facts and numerical data to gain an objective view of consumer opinion. In general, this approach focuses on uncovering insights about large groups of consumers or the population as a whole. It enables brands to easily compare purchasing and other behaviours of different groups (age, gender, market) and to identify potential buying trends on the horizon. 
  • Qualitative research is less concerned with statistics and trends and more focused on the “human” aspect of buying. This research digs deep into the more intangible and subjective reasons why customers behave the way they do. 

As we have noted before, “People are complex and often unpredictable,” so qualitative research “means getting to know your customers and their motivations better.” As a result, brands can more effectively study customer pain points and barriers to consumer use while also guiding the way to a more personalised approach to marketing.

Where Qualitative Data Comes From

So, what are the sources of data collection? Here’s a quick rundown:

Focus groups. A group consisting of a small number of customers (usually no more than 15) meets to discuss a specific issue. Information derived from this approach often leads to rich insights around consumer attitudes and behaviours, underlying motivations, and perceptions about a brand. 

One-to-one, in-depth interviews. Researchers talk to consumers directly, seeking to understand participant opinions better. This method can be in the form of face-to-face interviews and phone or online interviews. 

Expert interviews. Industry experts are another rich source of data collection. Leveraging their knowledge through expert interviews can help brands explore the impact of emerging trends, thus helping to “future-proof” their business. 

Ethnography. In this realm, researchers immerse themselves in customers’ worlds to learn more about the role brands and products play in their daily lives. This can entail visiting consumers and accompanying them as they go about their day or through self-ethnography, where consumers take on video tasks to show us how they live. 

Online communities. Through an online platform, consumers undertake individual or group tasks that enable researchers to explore potentially sensitive issues and better grasp the attitudes and values that lead to that all-important decision to purchase a product or service. 

The personalized focus of qualitative research goes hand-in-hand with more quantitative research methods, adding context and depth to more numerical and data-based metrics.  

Survey Research Plays a Key Role

Sending out surveys is another key method for drawing insights to understand target customers or explore a new market. Surveys can be conducted in a variety of ways, including:

  • Email. This approach offers the benefit of reaching many people at an affordable cost.
  • Phone. Phone surveys are helpful for researchers seeking feedback from a particular demographic, i.e., older consumers who may not use online resources. 
  • Post. Postal surveys are another option, though of increasingly limited use. Prohibitive costs and a long time lag for responses often rule out this approach.
  • In-person. This method is useful when researchers want to know more about how consumers physically interact with a product or a similar situation. Again, the costs and logistics of this approach make it a less appealing process in general.  

These days, online surveys are often the primary method for collecting quantitative data. Existing customers can complete online surveys or respondents sourced from online panels (groups of people matching a brand’s target market who agree to participate in online research). Based on the results, brands can build accurate representative samples and extrapolate findings to the broader population. 

When it comes to quantitative research, survey questions usually include closed rather than open questions. For example, a survey participant being asked, “How satisfied are you with our delivery policy?” would be restricted to answers such as “Very satisfied/Satisfied/Don’t Know/Dissatisfied/Very Dissatisfied.” This method generates data that can be categorized and analyzed in a quantitative, numbers-driven way. 

How Technology Facilitates Data Collection  

Social media has emerged as a valuable source for insights into consumer perceptions and behaviours. Platforms like Facebook, Twitter, Instagram, and others have potentially vast data reservoirs on a target audience. 

On social media, consumers provide direct, unfiltered feedback about their needs, emotions, pain points, and hopes for the future. These platforms offer a relatively easy and inexpensive way to share surveys and questionnaires and enlist participants for upcoming focus groups.

In this respect, “social listening” offers an expedient method of gauging customer sentiment—what they like and don’t like about the buying experiences, preferences regarding how a purchase is made, and so on. 

Technology also makes it possible for researchers to dramatically expand their horizons, connecting with audiences in far-flung areas of a brand’s home country and around the world. Researchers can conduct real-time interviews and focus groups with consumers in multiple time zones using tools like Zoom and Skype. In this way, data collection for international research often yields a more powerful and richer understanding of consumer behaviour. 

Working with a Research Partner

It’s crucial to remember that every customer group is different. Some brands have a strong command of their markets and may conduct research on their own.

For many other brands, partnering with a professional research firm is the best approach to broad-based marketing research. At Kadence, we draw upon our extensive toolkit of qualitative and quantitative methodologies for a deep understanding of the needs of these under-served communities. The result is:

  • More productive research
  • Valuable insights into different demographics
  • Gaining a step on the competition 

By bringing companies closer to their customers, a third-party research firm can embed rich understanding across your organisation and promote more effective, customer-centric decision-making. This understanding often leads to more informed marketing strategies and greater success with untapped consumer populations.

Entering a domestic market is one thing, but expanding overseas is something else entirely. Moving to a new, international market comes with a range of unique challenges that require a strategic approach with empirical methods.

It’s crucial to understand and anticipate these differences to avoid nasty surprises and give yourself the best chance of success when entering a foreign market. This article will explore the key differences between market research in international and domestic markets.

How are international and domestic market research similar?

While the differences are vast, there are also some areas where domestic market research is similar to its international counterpart.

For example, certain research methods work well in both environments. Interviews, surveys, focus groups, secondary research, and experiments work well domestically and internationally. The way you analyse and process the data you collect will also stay roughly the same.

That said, the actual day-to-day process of market research in an international environment can sometimes be drastically different from what you’re used to back home.

What are the differences between domestic and international market research?

1. It’s a different culture.

No matter how similar, every international market has nuances in its culture. This culture may be akin to your home market, like the US and Canada, or radically different, like the UK and Japan. But even with very similar cultures, there will still be significant differences to consider.

Here are some ways cultural differences can impact market research:

  • Language. Interacting with the people in your market, understanding the culture, and conducting research are all much harder in a foreign language. You’ll often need to hire translators to communicate effectively, and it’s easy for crucial details to get lost in translation. Note – this also includes different dialects within the same language.
  • Expectations and preferences. A product or service that works exceptionally well in your domestic market may fail dismally abroad simply due to different tastes and cultural norms. Understanding this will need to be a key part of your research.
  • Causing offence. It’s essential to respect the local culture in your target market and avoid offending with your research techniques. Everything from linguistic choices to the clothes you wear should be considered and researched beforehand.

Your research must be carefully designed to address these concerns and also work within them — certain types of research may not work very well in an overseas market.

2. There may be infrastructure issues.

If your business is based in a developed, industrialised part of the world, you may take some aspects of market research for granted. Things like reliable postal services, easy access to large venues for focus groups, and widespread internet connectivity are not a given in many parts of the world, which can significantly impact your research.

Working in a new overseas market entails new infrastructure challenges. For example, in a country with poor smartphone coverage, you’re unlikely to have much success with in-app surveys or SMS questionnaires. These challenges can quickly mount up and lead to unexpected delays or setbacks in your research.

3. International market research involves higher risk.

Overseas markets involve more variables than domestic ones, so there is more scope for failure. The good news is that you can tap into more potential growth in an international market, but this extra reward comes at a higher risk.

Many overseas market entry attempts fail because there is so much more to be aware of and so much that can go wrong. Failing to anticipate certain conditions or challenges, like slower transport and shipping, can lead to major delays and significant losses.

You’re entering what might be a completely different market from anything you’ve known before, with a huge amount to prepare and consider. This means research is essential and must be much more rigorous than your home market. It would help if you did everything possible to anticipate risks and minimise your chances of failure.

4. International market research comes with a higher cost.

Conducting market research always costs money, and that cost can be substantially higher in a foreign market than at home. There are several reasons for this:

  • You need to do more research in general to gain a solid understanding of a completely new and different market.
  • You need to hire a range of staff on the ground like translators and people to carry out various research tasks. Unlike in your home market, where you can repurpose some of your employees, you need to vet and hire entirely new people in a new country.
  • You need to hire venues. Again, you can’t just use your premises if you haven’t established a presence in your target market, which means you’ll need to hire and pay for venues like conference centres for research activities like focus groups.
  • You need to build an entirely new research infrastructure from scratch. This includes planning postal campaigns, building software for in-app surveys, collecting email addresses, and much more.
  • Setbacks will happen. Doing anything in a new foreign market is complex, and you’ll encounter many delays, unexpected problems, and barriers at first. These can significantly disrupt your research efforts, costing time and money.

Stay ahead

Get regular insights

Keep up to date with the latest insights from our research as well as all our company news in our free monthly newsletter.

5. You need to understand your competitors more than ever.

It’s always necessary to understand your competition, which is a key component of any market research process. Unlike a domestic market, many of your competitors may be completely unknown to you in a new international market.

To stand a chance of success in your target market, you need a firm understanding of why your competitors are successful. Who do they appeal to? What needs do they address? What have they done recently? What are their vulnerabilities? And, of course, what can you do better? Understanding your competitors should be a central part of your market research when entering an international market.

One of the most important factors to consider when conducting international market research is the legal framework in your target market. For example, many countries legally require you to have research permits, and going ahead with your research without obtaining the correct permission can lead to costly penalties and setbacks.

In some cases, you may be required to provide a copy of survey questions to governments beforehand. And in many parts of the world, bureaucracy slows things down significantly, and it can take weeks for permits to be approved, which is something you have to anticipate.

7. You need to analyse and process results the right way.

In international market research, it’s not just collecting the data that matters. It’s also essential to process your results correctly, ensuring you draw the right insights and reach accurate conclusions about your target market.

To do this right, you need to understand the cultural context. For example, some cultures like America tend to be more extreme on surveys, gravitating towards one end of the Likert scale. Other cultures like China and Japan tend to prefer more neutral answers.

These differences impact not only the way you design surveys — for example, opting for a four-point scale with no middle option — but also the way you analyse results. A set of results in one culture may have different implications for your business than the same set of results in another part of the world.

8. It’s more important to work with the right research partner.

Research partners are an essential part of all market research. Their teams consist of skilled and experienced professionals with a firm grasp of research and analysis methods and how to apply them to gain valuable insights for your business. In an international market, it’s even more important to select the right research partner who already knows the new market.

Take the time to research all your options. Your chosen partner should have experience working in your target market and should have an in-depth knowledge of the various cultural, economic, legal, and social conditions.

International market research is an entirely different process from the research you’ll do at home. It comes with countless new challenges, hurdles, and risks. If you work with the right people, with the right set of skills and experience, you’ll maximise your chances of success and give your business the best possible chance in your target market.

At Kadence, we have experience doing international market research for clients worldwide. Contact us to find out more about how we can help you. 

Want more information on conducting international research? Read The Essential Guide to Conducting International Research here.