In an age where data is akin to digital gold, brands find themselves navigating an ocean of information. With an estimated 2.5 quintillion bytes of data created daily, the challenge for marketing professionals extends far beyond mere data acquisition; it involves discerning the right data from an overwhelming sea of information.

The issue’s crux lies in analyzing existing data and strategically collecting new data. The decision of which data collection method to employ is no trivial matter. Each method, be it surveys, in-depth interviews, observational studies, or digital analytics, offers a unique lens through which to view the consumer world. This choice significantly impacts the quality and relevance of the insights gathered, shaping the trajectory of marketing strategies.

Furthermore, integrating new information with existing datasets presents its own complexities. The art of data collection is not just about gathering more information; it’s about enhancing the value of the data already at hand.

Understanding Data Collection 

Data collection refers to the process of gathering information relevant to marketing objectives. This can include consumer behavior, preferences, market trends, competitor analysis, and more. The significance of data collection lies in its power to inform and shape marketing strategies. By understanding the market and its consumers, brands can make informed decisions, tailor their offerings, and, ultimately, achieve a competitive edge.

Impact on Marketing Decisions

The insights gained from data collection directly influence marketing decisions. These decisions range from product development and pricing strategies to advertising channels and brand positioning. For instance, data on consumer preferences can guide product enhancements, while market trend analysis can inform pricing strategies. In essence, data collection provides the foundation upon which successful marketing campaigns and strategies are built.

Types of Data Collection Methods

Primary Data Collection

  • Methods: This involves directly gathering new data from sources like surveys, interviews, and observations. These methods are tailored to specific research questions and are collected first-hand.
  • Usage: Primary data is crucial when specific, targeted information is required, mainly when such data cannot be obtained from existing sources.

Secondary Data Collection

  • Methods: This includes using existing data such as market reports, academic studies, and online resources.
  • Usage: Secondary data is beneficial for providing background information, understanding broader market trends, and supplementing primary data.

Qualitative vs. Quantitative

  • Qualitative Methods: Focus on understanding the ‘why’ behind consumer behaviors and attitudes, often involving more in-depth, subjective analysis.
  • Quantitative Methods: These are aimed at quantifying data and are typically used to gauge market sizes, measure consumer preferences, and identify patterns.

Choosing the Right Data Collection Method

Selecting the appropriate data collection method is crucial in marketing research. This decision should be guided by the specific needs and objectives of the marketing strategy, along with practical considerations such as budget, time frame, and required accuracy.

Assessing Your Needs

Understanding the specific information required is the first step in selecting the correct data collection method. This involves defining clear research questions and objectives. For instance, is the goal to understand customer satisfaction, gauge market potential for a new product, or track brand awareness? The nature of these questions will influence the choice of data collection method.

Considerations for Method Selection

  1. Budget Constraints: Different methods have varying cost implications. For instance, online surveys might be more cost-effective than in-depth interviews or focus groups.
  2. Time Frame: Some methods are quicker than others. For example, secondary data analysis can be conducted faster than primary data collection methods like longitudinal studies.
  3. Accuracy and Reliability: The required level of accuracy and reliability of the data also dictates the choice of method. Quantitative methods like surveys are generally more reliable for statistical analysis, while qualitative methods offer deeper insights but may be more subjective.
  4. Scope of Data Required: The breadth and depth of data needed will also affect the choice. For broad market trends, secondary data might suffice, but for in-depth consumer insights, primary data collection would be necessary.
  5. Technological Considerations: The availability and use of technology can also influence the choice of data collection method. Online surveys and digital analytics tools have become more prevalent due to their efficiency and the breadth of data they can collect.

Navigating the Data Deluge: Strategies for Effective Data Collection

The abundance of data offers unprecedented opportunities for insights and innovation. However, this abundance can lead to information overload, making extracting meaningful and actionable intelligence challenging.

Understanding the Data Landscape

Before diving into data collection, it’s essential to have a clear understanding of the existing data landscape. This involves assessing the current data repositories, understanding the nature of the data available, and identifying the gaps in knowledge that new data collection efforts need to address. Are there areas where the existing data is too generic, outdated, or not sufficiently detailed? Answering these questions helps in setting clear objectives for new data collection.

Choosing the Right Data Collection Method

The method chosen for data collection can significantly influence the insights derived. It’s crucial to select an approach that aligns with the specific objectives of the marketing strategy. For instance, if the goal is to understand deep consumer motivations, qualitative methods like in-depth interviews or focus groups might be more effective. Conversely, surveys or digital analytics tools might be more appropriate for quantifying market trends or customer preferences.

Balancing Quantity with Quality

In a world obsessed with big data, it’s important not to lose sight of the ‘small data’ – the nuanced, qualitative insights that often provide the ‘why’ behind the ‘what.’ Balancing the quantitative abundance with qualitative depth is key. This might involve combining large-scale survey data with targeted interviews or using analytics tools to identify patterns that can be explored through observational studies.

Integrating New Data with Existing Information

Once new data is collected, the next challenge is effectively integrating it with existing datasets. This requires technical capabilities, like data warehousing and analytics software, and a strategic approach to data synthesis. The goal is to create a comprehensive view of the market or customer base, where new insights complement and enhance the existing knowledge base.

Staying Agile and Adaptable

Finally, agility in data collection is crucial. This means being open to continuously evolving data collection strategies as new technologies emerge and market dynamics shift. Regularly reviewing and updating data collection methods ensures that the information gathered remains relevant and actionable.

Best Practices in Data Collection

Adopting best practices in data collection is essential for ensuring the effectiveness and integrity of marketing research. This section explores ethical considerations, tips for maintaining data quality, and the role of technology in data collection.

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Ethical Considerations

Ethical practices are paramount in data collection, particularly when dealing with personal and sensitive information.

  1. Informed Consent: Ensure that participants are fully aware of the nature of the research and consented to providing data.
  2. Privacy and Confidentiality: Protect the privacy and confidentiality of the data collected, especially in compliance with regulations like GDPR.
  3. Transparency: Be transparent about the data’s use, avoiding misleading questions or deceptive data collection methods.

Ensuring Data Quality

The reliability of marketing decisions is directly tied to the quality of the data collected.

  1. Accurate Data Collection Tools: Utilize reliable tools and software for data collection to minimize errors.
  2. Regular Data Validation: Implement processes to validate and cleanse the data regularly.
  3. Training for Data Collectors: Ensure that individuals involved in data collection are properly trained to maintain consistency and accuracy.

Technology in Data Collection

Technology is crucial in modern data collection, offering efficiency and enhanced capabilities.

  1. Digital Surveys and Polls: Online platforms can facilitate large-scale surveys quickly and cost-effectively.
  2. Data Analytics Tools: Advanced analytics tools can process vast amounts of data to uncover trends and insights.
  3. Social Media Analytics: Utilize social media platforms for real-time data collection and sentiment analysis.
  4. Mobile Data Collection: Leverage mobile technology for on-the-go data collection and to reach a wider audience.

By adhering to ethical standards, focusing on data quality, and effectively utilizing technology, brands can ensure that their data collection efforts are both responsible and fruitful.

Navigating Conflicting Data: When Data Challenges Certainties

Encountering data that conflicts with established beliefs or expectations is not uncommon. But how do you navigate situations where collected data contradicts what is known or believed to be certain, and what are the implications for marketing strategy?

Understanding the Conflict

  1. Identify the Source of Conflict: Begin by pinpointing the exact nature of the conflict. Is it a matter of differing data sources, methodology discrepancies, or a genuine shift in market trends or consumer behavior?
  2. Re-evaluate Assumptions: Use the conflicting data as an opportunity to re-examine existing assumptions or hypotheses. It’s essential to remain open to the possibility that the market dynamics may have evolved.

Analyzing the Data

  1. Cross-Validation: Compare the conflicting data with other sources or similar studies to verify accuracy. Cross-validation can help determine if the conflict is an anomaly or part of a broader trend.
  2. Qualitative Analysis: Sometimes, quantitative data may not provide the complete picture. Qualitative methods like interviews or focus groups can offer deeper insights into the reasons behind the data discrepancies.

Strategic Decision Making

  1. Risk Assessment: Evaluate the potential risks of ignoring versus considering the conflicting data in decision-making.
  2. Adaptive Strategies: Develop flexible marketing strategies that adapt to new insights or changing market conditions. This may involve A/B testing different approaches or creating contingency plans.

Embracing Change and Uncertainty

  1. Learning and Growth: View conflicting data as an opportunity for learning and growth. It can uncover blind spots and lead to more informed and dynamic marketing strategies.
  2. Innovative Thinking: Encourage a culture that embraces change and is unafraid to challenge the status quo. This mindset can be crucial for staying ahead in a rapidly evolving market.

Conflicting data should not be immediately dismissed as erroneous. Instead, it should prompt a thorough analysis and reassessment of marketing strategies. Embracing this complexity can lead to more resilient and innovative approaches in marketing.

Challenges and Solutions in Data Collection

Data collection is fraught with challenges, each requiring strategic solutions to ensure the integrity and usefulness of the data. This section identifies common obstacles in data collection and provides practical solutions to address them.

Challenge 1: Data Quality and Accuracy

Solution:

  • Implement rigorous data validation processes.
  • Use advanced analytics tools for automatic error detection.
  • Train staff in accurate data entry and handling.
  • Regularly update and clean the database to remove outdated or irrelevant information.

Challenge 2: Ensuring Data Privacy and Security

Solution:

  • Adhere strictly to data protection laws like GDPR and CCPA.
  • Anonymize and encrypt sensitive data.
  • Conduct regular security audits and updates to protect data from breaches.

Challenge 3: Bias in Data Collection

Solution:

  • Use randomized sampling methods to avoid selection bias.
  • Include diverse populations in surveys and research studies.
  • Train researchers to recognize and minimize personal and cognitive biases.

Challenge 4: Managing Large Volumes of Data

Solution:

  • Invest in scalable data storage solutions like cloud services.
  • Use data management software to organize and process large datasets efficiently.
  • Regularly archive or dispose of unnecessary data to prevent overload.

Challenge 5: Integrating Different Data Sources

Solution:

  • Utilize data integration tools that can consolidate diverse data formats and sources.
  • Establish standardized data formats and protocols across the organization.
  • Regularly synchronize different databases to ensure consistency.

Challenge 6: Keeping Up with Rapidly Changing Markets

Solution:

  • Employ real-time data collection tools like social media analytics.
  • Conduct frequent and iterative market research to stay abreast of trends.
  • Adopt agile methodologies in marketing strategies to quickly respond to new insights.

Challenge 7: Balancing Quantitative and Qualitative Data

Solution:

  • Combine survey data with in-depth interviews or focus groups for a holistic view.
  • Use mixed-methods research approaches to leverage the strengths of both quantitative and qualitative data.

While data collection presents several challenges, strategic solutions can effectively address these obstacles. By prioritizing data quality, privacy, and adaptability and leveraging technology and best practices, marketers can navigate these challenges and harness the full potential of their data.

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Leveraging Synthetic Data for Validating Real Data

Synthetic data – artificially generated data that mimics real datasets – is emerging as a powerful tool for validating and enhancing the reliability of real data. This section delves into the role of synthetic data in marketing research, particularly in validating and supplementing real data.

Understanding Synthetic Data

  1. Definition and Creation: Synthetic data is generated through algorithms and simulation models to replicate the statistical properties of real-world data without utilizing actual data points. This method ensures privacy and helps overcome limitations of access to real data.
  2. Use Cases in Marketing: Synthetic data can be used for scenario analysis, predicting consumer behavior, and testing new marketing strategies without the risk and expense of real-world implementation.

Validating Real Data with Synthetic Data

  1. Cross-Verification: By comparing real data with synthetic datasets, researchers can identify anomalies or inconsistencies in the real data, enhancing its accuracy and reliability.
  2. Filling Data Gaps: Synthetic data can be used to simulate scenarios or data points that are missing or problematic to collect in real datasets, thereby providing a more comprehensive view.

Enhancing Data Privacy and Compliance

  1. Privacy Compliance: Synthetic data is particularly valuable in adhering to privacy regulations, as it allows for analyzing data patterns without using actual customer data.
  2. Safe Testing Environment: It provides a secure environment to test and validate data models without exposing sensitive customer information.

Integrating Synthetic and Real Data

  1. Hybrid Models: Combining synthetic and real data can create robust models that offer deeper insights. This integration can enhance the predictive accuracy of marketing models.
  2. Iterative Validation: Iteratively using synthetic data alongside real data helps continuously refine and validate marketing models and strategies.

Synthetic data presents a unique opportunity for marketers to validate and enhance their real data while maintaining data privacy and compliance. Its integration into marketing research can lead to more accurate, ethical, and effective marketing strategies.

Technology Focus: Embracing Cutting-Edge Trends in Data Collection

Artificial Intelligence and Machine Learning

  1. Automated Data Processing: AI and ML algorithms can process vast amounts of data more quickly and accurately than traditional methods, identifying patterns and insights that might be missed by human analysis.
  2. Predictive Analytics: These technologies enable marketers to predict consumer behavior and market trends by analyzing past data, informing more proactive and targeted marketing strategies.
  3. Personalization at Scale: AI-driven data analysis helps create highly personalized marketing campaigns that cater to individual consumer preferences and behaviors, enhancing customer engagement and conversion rates.

Internet of Things (IoT)

  1. Real-Time Data Collection: IoT devices like smart home gadgets, wearables, and connected cars provide a continuous stream of real-time data, offering fresh insights into consumer lifestyles and habits.
  2. Enhanced Consumer Insights: This technology enables the collection of more nuanced data, such as usage patterns and environmental conditions, which can be used to refine product offerings and marketing messages.
  3. Location-Based Marketing: IoT devices offer geolocation data, which can be used for highly targeted location-based marketing campaigns.

Global vs. Local Perspectives: Tailoring Data Collection to Cultural Contexts

Data collection methods can vary significantly in effectiveness depending on cultural and regional differences.

Cultural Sensitivities and Preferences

  1. Language and Communication Styles: Data collection methods must be adapted to local languages and communication preferences. What works in one region might not resonate in another due to linguistic and cultural nuances.
  2. Cultural Attitudes Towards Data Sharing: Willingness to share personal information can vary significantly between cultures. Understanding these attitudes is critical to designing effective data collection strategies that respect local norms and preferences.

Legal and Ethical Considerations

  1. Compliance with Local Laws: Data collection practices must comply with local data protection laws, which can vary widely from country to country.
  2. Ethical Standards: Adhering to ethical standards that respect local cultural values and norms is crucial for legal compliance and building trust with the local audience.

Market-Specific Strategies

  1. Localized Surveys and Studies: Tailoring surveys and market studies to reflect local conditions, preferences, and consumption patterns can yield more accurate and relevant data.
  2. Employing Local Expertise: Collaborating with local market experts can provide valuable insights into the most effective data collection methods and techniques in a particular region.

Staying abreast of technological advancements and being mindful of global and local differences are crucial for effective data collection in today’s marketing landscape. These considerations enable marketers to gather more relevant, accurate, and actionable data, driving more successful marketing strategies.

Harnessing the Power of Data in a Rapidly Evolving Marketing Landscape

As we wrap up this exploration of data collection methods in marketing, it’s clear that how data is gathered, analyzed, and utilized is pivotal in shaping successful marketing strategies. From understanding the basics of data collection to navigating the complexities of technology and cultural nuances, marketers are equipped with a wealth of methods to make informed decisions.

Future Trends in Data Collection

Looking forward, the field of data collection is poised for even more transformative changes driven by technological innovation and shifting market dynamics.

  1. Advancements in AI and Machine Learning: These technologies will continue evolving, offering even more sophisticated tools for predictive analytics and automated data processing, enabling brands to anticipate market trends and consumer needs more accurately.
  2. Increased Use of IoT Data: The Internet of Things will expand its reach, providing marketers with a richer tapestry of real-time consumer data, further enhancing personalized marketing efforts.
  3. Rise of Privacy-Enhancing Technologies: As data privacy concerns grow, technologies that enhance privacy while allowing for valuable data collection and analysis will become increasingly important.
  4. Greater Emphasis on Ethical Data Practices: Ethical considerations in data collection will take center stage, with businesses focusing more on responsible data practices that build consumer trust.
  5. Augmented Reality and Virtual Reality: These technologies will open new avenues for data collection, offering immersive ways to understand consumer behavior and preferences.

Embracing Change and Innovation

The world of data collection is dynamic and ever-evolving. Marketers must stay agile, continuously adapting to new technologies and methodologies while adhering to ethical and legal standards. By embracing current best practices and future trends, marketers can harness the full potential of data to drive innovative and effective marketing strategies.

As we look to the future, one thing remains sure: effectively collecting and utilizing data will continue to be a cornerstone of successful marketing. Exploring and mastering these methods is ongoing, and those who stay informed and adaptable will lead the way in the ever-changing marketing landscape.

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Consumer behavior is shifting more rapidly and drastically than ever before. Brands are trying to keep up with massive changes in consumer behavior and preferences in virtually every sector, from groceries and fitness to banking and finance. Consumers continue to pivot their preferences and priorities with uncertainty, inflation, and an economic downturn. 

In the early days of the pandemic, an uncertain and dismal picture caused anxiety and depression, which led to panic buying globally. Those were short-term behaviors and did not last. However, many massive shifts due to the pandemic have stuck, including online shopping and the need for speed, efficiency, and convenience. 

The pandemic has changed certain habits for the long haul, with many consumers going to stores less frequently than before. Buyers are now more comfortable shopping online, and most consumers prefer a hybrid shopping experience combining the physical and digital worlds as convenience becomes paramount.

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With the growth of online shopping and technological advancements making online shopping as personalized as a store visit, consumers are exploring options beyond traditional brick-and-mortar stores and looking for a complete experience, be it physical, online, or hybrid. Businesses must adapt quickly to these changes and shifts in consumer preferences to remain competitive in a dynamic and ever-changing market. These changes have been taking place for some time, but the pandemic accelerated the rate of change unexpectedly. 

Some of the consumer behaviors that have drastically shifted post-pandemic are food and grocery delivery services. In the U.S., consumers did not regularly use grocery delivery services. According to some reports, about 15 percent of U.S. consumers tried grocery delivery services for the first time due to the pandemic, about 80 percent of those first-timers liked the service, and 40 percent said they would continue using it post-pandemic. 

While convenience and safety were the two reasons delivery services skyrocketed during the pandemic, the price will likely supersede convenience as we enter a time of out-of-control inflation. Consumers will try to make their money stretch further because savvy consumers know the premium they pay for using delivery services like Instacart. 

In this new economy, will they still be comfortable paying a premium and missing out on discounts for fuel when they don’t shop in person? 

Food delivery services also became more popular worldwide, and the takeout and delivery trend was rising. However, as people returned to in-person dining, food delivery apps took a hit. These apps will also follow the same path as grocery delivery services because when consumers buy from DoorDash, the prices are higher, and they cannot use vouchers. 

Many big retailers like Walmart are following shifts in consumer behavior by offering pick-up and delivery with no markup on prices. Other delivery apps are double-dipping on price, and the consumer pays more than they would in the store. 

Brands need to understand that just as convenience and safety were top priorities during the pandemic, consumers prioritize value and price over everything else, given the current economic environment. 

The fitness market is also seeing massive shifts, and consumers now want an omnichannel approach to fitness, where they use at-home gym equipment and online classes and apps in combination with in-person classes. 

Many e-commerce brands capitalized on creating connections with their consumers by using hand-written-style notes to add to the unboxing experience.

Beauty and fashion brands made it easier for consumers to shop online by using machine learning and artificial intelligence to offer personalized suggestions, experiences, and Virtual try-on sessions using Virtual Reality to mirror an in-store experience. 

Brands need access to high-quality consumer data, insights, and business Intelligence to stay in the game, meet customers’ demands, and outpace the competition.  

In any business environment, enterprises need to clearly understand the psychology behind why consumers behave the way they do. Consumer behavior is the study of consumers and analyzes how consumers decide what to buy, when, and how to buy. It seeks to understand the psychology behind consumers’ needs, wants, and desires and how they purchase, use and dispose of products and services. 

This study is critical because it helps brands understand the motivations and influences behind their purchases. It allows brands and marketers to develop the right products for the right audiences and market the product with the right messaging to convert prospects into buyers and retain them over time. 

Several factors come into play during the purchase decision stage, and these may include personal (age, culture, values, beliefs), psychological (brand perception), or social (friends, family, influencers, social media).

There are four types of consumer behavior:

  1. Complex buying behavior

This type of buying behavior is associated with big-ticket purchases, like buying a home or a car, where consumers invest a lot of time and energy. 

2. Dissonance-reducing buying behavior

This type of consumer behavior is often seen when a consumer is highly involved in the buying process but takes longer than usual because they do not want to regret the decision. This happens when multiple brands are very similar, and choosing one is tricky.

3. Variety-seeking behavior

This behavior is exhibited by consumers who opt for a different brand, even if they were happy with their previous purchases because they value variety.

4. Habitual buying behavior

Consumers that purchase the same brand because of habit rather than brand loyalty are in this category. 

A grasp of the type of consumers your brand attracts will allow you to segment your market based on consumer characteristics.  

Marketers also need to understand buying roles and who is the decision maker regarding their specific product. In a family, for instance, the parents make major buying decisions; however, in some cases, young children are highly influential in the decision. In fact, unlike in the past, the younger cohorts, Generation Alpha (those born after 2010) and Gen Zs (those born between 1995-2010), make many important buying decisions regarding what they wear, eat, or travel. 

There are six major buying roles brands need to take into consideration:

  1. Influencer(s): Several people may be involved in the purchase decision in many cases, but they may not all be consumers. Influencers are those who can exert influence in the final decision. These could be bloggers in today’s world or friends and family whose advice commands weightage in the purchase decision. 
  2. Gatekeepers are usually family members who control the information flow regarding a product within a household. 
  3. Initiator: This is the person who first initiates the purchase idea. 
  4. Decider: This person has the final say in the purchase decision and decides whether or not to buy the product. He also may determine how and where to buy it. 
  5. Buyer: This is the person who ends up buying the product.
  6. User: This is the person who consumes or uses the product purchased. 

Consumer behavior helps with market segmentation, as it goes beyond the essential demographic elements like age, gender, and location to explore the behavior patterns customers exhibit when interacting with a particular product, brand, or website. This concept is instrumental in e-commerce and online shopping environments. 

Here’s how e-commerce brands use consumer behavior to segment customers and users based on their level of engagement with the website, app, or product page. 

They segment or group their customers by their attitude toward their brand, level of brand recognition, usage, frequency and timing of purchase, and purchasing patterns or tendencies, like special occasion buying behavior. 

This allows them to tailor their marketing messages and create compelling campaigns to achieve their goals. 

By utilizing behavioral segmentation, brands can get a complete picture of their customers and filter them by the highest levels of engagement. For instance, brands can track those who regularly open their emails or visit their product pages. Marketers can also target ads with the most appealing messaging to customers based on their needs. For instance, an online shoe store can show those interested in athletic wear more running shoes and sneaker ads, and at the same time, serve ads with formal shoes for those interested in evening shoes. 

Another significant shift in consumer behavior is related to a demand for personalized and customized products, especially amongst the younger cohort of Gen Zs. Using behavioral segmentation, brands can provide more refined personalized experiences to win business. Brands can gain deep insights into their consumers’ needs, wants, desires, challenges, preferences, and concerns to gain a competitive advantage. Upselling and showing complementary products and replenishment reminders based on customer history and interests can reduce cart abandonment and boost brand loyalty. 

The use of behavior segmentation beyond the purchase also helps provide a high level of customer service to cement the relationship with the customer, leading to higher retention rates, more repeat business, referrals, and brand loyalty. 

Using behavioral segmentation, brands can unearth invaluable data and insights that may otherwise never have been discovered.

Understanding consumer behavior comprehensively helps brands improve performance across channels to diversify their marketing efforts. Brands can use these insights to adjust brand messaging, packaging, design, features, pricing, and more to stay ahead of the competition and boost brand equity. 

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.

Just like reaching an unknown destination without a map is difficult, so is building a business strategy without competitive intelligence. 

Competitive intelligence helps brands shape their product development, distribution channels, pricing, messaging, positioning, brand promotions, and features. It allows brands to identify their challenges and opportunities in the market in relation to their competition, so they can see what their competitors are doing and differentiate themselves from them. 

What is competitive intelligence (CI)?

Competitive intelligence refers to any intentional research where brands collect, analyze, and utilize data and information gathered on their competitors, customers, and other external factors, potentially providing brands with a competitive advantage.

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When brands ethically and legally collect competitive intelligence, it can help boost the organization’s decision-making capabilities. The goal of any competitive intelligence study is to create a business plan and strategy so organizations can make well-informed decisions based on market considerations.

Competitive intelligence goes beyond knowing the competition; the process is designed to take a deep dive to unravel the finer points of the competitor’s target markets and business strategy. 

The Japanese auto industry carried out a compelling competitive intelligence study in the 1970s. The Japanese automobile industry analyzed the U.S. automobile market to discover a need for smaller, more fuel-efficient cars in a country where gasoline prices were rising. Using competitive intelligence across its borders, Japanese automakers identified a critical trend to beat their competition in the U.S. 

Competitive intelligence plays a vital role in all major departments of an organization and can take on a different meaning for each department or function. For instance, for a product development team, competitive intelligence may mean new features being added to products. For a sales executive, it may be helpful to know how to create a winning proposal. For leadership, it may be understanding the competitor’s marketing strategies so they can craft a plan to gain more foothold in the market.

Competitive Intelligence studies and exercises can be tactical (shorter-term) or strategic (longer-term). The goal of tactical competitive intelligence studies, for instance, can be to obtain insights into increasing revenues or gaining market share. At the same time, strategic or longer-term reporting focuses on significant risks, threats, and opportunities, present or emerging. 

A competitive intelligence study typically includes a wealth of information and insights from various sources, like government records, online mentions, social media, trade shows and journals, customer data and interviews, and traditional news media, to name a few. These sources are easily accessible and form the starting point for the studies. More in-depth information from distributors, suppliers, competitors, and customers is needed to make truly informed decisions. 

What are the key benefits of competitive intelligence?

There is no substitute for Competitive intelligence research when it is undertaken with care and diligence. It is a powerful tool for brands to gain market share, boost revenue, and continue to build the right products at competitive prices.

Here are some key benefits of using competitive intelligence for brands:

#1. Ability to predict patterns and emerging trends

As brands excavate an enormous amount of data and insights related to their competitor’s activities, they begin to identify and foresee emerging trends in the industry. This allows brands to gain deep foresight to make informed decisions and strategic business plans. 

#2. Aids in brand positioning

As brands gather insights and data about the competitive landscape, they also gain clarity on their activities and messaging. It helps them understand what works and doesn’t and cement their marketing. 

#3. Helps make more informed decisions.

When brands unearth information, they gain critical insights into how the customers feel about their brand and the competing brands. This gives brands a better view of their customers’ wants and how their competitors are meeting the needs of the target markets. 

#4. Boosts returns and profits

When you have a good understanding of the strategies and tactics employed by your competition and how they are performing, you will be better able to invest in areas that bring the highest returns, reducing risks and boosting profits.

Going back to the definition of Competitive Intelligence, we can see three necessary steps: “collect, analyze, and use competitor and market information to make informed decisions.”

Collecting data

There are many ways of unearthing relevant competitor data legally and ethically. Searching for information online may seem rudimentary, but it can provide invaluable information about the competitors and their activities. This information is readily available and accessible on the internet and is considered low-hanging fruit. With a few simple web searches, you can find great information on what the competitor is doing and what it has done in the past. You can also learn about product features, pricing, innovations, leadership, and important news and announcements relevant to your competition. There are tools that provide insight into the competitor’s search engine optimization activities and their online advertising efforts. 

From here, brands often go deeper and beyond the internet to analyze target markets and customer segments. Brands use quantitative and qualitative market research to gain more market insight. 

Brands use data to analyze their competition beyond the simple search process. This entails going through endless data and making sense of it all can become cumbersome. This is where data mining comes into play. Besides gathering data from third-party sources, brands also gather human intelligence by interviewing relevant people, including customers and past suppliers. This is a time-consuming process and must be undertaken by experts in market research to ensure it is done ethically and legally.  

Analyzing data

Analysis of data is a crucial step in the competitive intelligence process. Once brands collect data, it needs to be analyzed carefully to provide actionable insights. This allows brands to understand the patterns and separate them from the outliers. 

The analysis aims to uncover strengths, weaknesses, opportunities, and threats as they relate to the competitive landscape. Therefore, collecting and analyzing information from disparate sources is essential in verifying their authenticity and validity. This helps us move away from making assumptions and gaining real insights from more accurate pieces of data. 

Crafting a strategy 

Once a brand has enough verified data and information on its competitors and strategies, it can utilize it to differentiate itself and make informed decisions regarding product, price, messaging, and other essential aspects. It allows brands to weigh the competitor’s strengths, weaknesses, and opportunities in relation to their own to gain a competitive advantage.

For instance, pricing is an important area for differentiation but can only be done right if everything is studied and taken into account to find the right price that is profitable and aligns with the customer’s perceived value of a brand or product offering. Therefore, a successful price is not about pricing your product at the same or lower price than your competitor but positioning your brand as the choice that provides the greatest value. And to make that happen, you need to know the price of competing products and their perceived value in the buyer’s mind. This calls for a thorough study and analysis of the competing products, markets, and consumers. 

Today, e-commerce companies use sophisticated software for competitive pricing due to the market’s highly competitive and dynamic nature. Read more on how e-commerce brands utilize price monitoring software technology to track competitor pricing here.

To get the complete picture, brands may conduct competitive intelligence surveys. They can define their target audience and use various demographic and psychographic questions to identify consumer behavior. These also include questions about competing products and services. You may also use ranking and rating type questions and identify any unmet needs or gaps in the marketplace or use open-ended questions to get a more in-depth view of the consumer’s mind. Brand recall and recognition surveys are also helpful in gaining consumer perception of various brands. For instance, a sparkling water brand may ask: “When you think of bottled sparkling water, what brand comes to mind first?” This can help brands discover how frequently their brand is mentioned compared to competing brands in the category.

When armed with the powerful insights gained through competitive intelligence, brands can be more strategic in all aspects of business, from product development to pricing and distribution. By differentiating themselves from competitors, they can gain valuable market share, grow brand value, and brand equity, and boost their return on investment (ROI).

Fear is a negative emotional response to the presence of danger or threat. Speculative fear is a negative emotional response to the anticipation of danger or threat, which may or may not occur. Humans are hardwired to look for things to fear, forming a necessary part of our survival instinct from birth. 

The human response to danger or threat is flight, fight, or in extreme cases, immobility. However, people respond in several ways when trouble or threat is perceived only as a looming risk. Avoidance, hunkering down, freezing in place, and acting impulsively are responses to prolonged anxiousness caused by pending fearful situations.

While fear is ingrained in our nervous system, it can also be taught. Technology has dramatically changed the way people get information. Social media has become the primary source of news online, with more than 64 percent of internet users receiving breaking news from social media instead of traditional media.

These statistics may be a sign of modern times. Still, the challenge with most people getting their news on social media sites is concerning when coupled with the fact most people do not read past the headline, and the vast majority of headlines are negative. 

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Negative media coverage reports show that negative words such as “bad,” “worst,” and “never” are 30 percent more effective at catching people’s attention than positive words. Research studies also revealed that negative words improved the average click-through rate. Headlines with negative bias showed a 63 percent higher result when compared to positive ones. Most (59 percent) of all news article links shared on social networks aren’t clicked on, implying that most article shares are not read in their entirety. 

So, you’d be right if you think we live in an increasingly hostile world, and most news is bad news. We are increasingly exposed to negativity and fearful news, affecting our collective anxieties and behaviors.

Panic buying

When the Spanish flu arrived in Britain immediately after the First World War, people panicked and rushed to purchase quinine and other medications, leading to national shortages.

Since then, panic buying and hoarding have been observed during many crises. Panic buying is much more common in developed or industrialized countries where people expect they will always be able to access food and other essential items easily. 

During the COVID-19 pandemic, psychologists observed that panic buying was associated with individuals with higher incomes, the presence of children in households, depression and death anxiety, and mistrust of others or paranoia.

Panic buying results from the perceived threat of the event and the perceived scarcity, fear of the unknown, and as a coping mechanism.

Retail therapy

Retail therapy is shopping primarily to improve the buyer’s mood or disposition. It is often a short-lived habit in people with depression or stress. 

Research has shown that shopping can help reinforce a sense of personal control and ease feelings of sadness.

In 2014 the Journal of Consumer Psychology found that retail therapy makes people happier immediately and can also fight lingering sadness. According to the study, the choices and outcomes inherent in the act of shopping can restore a feeling of personal control and autonomy. 

Another study by the University of Michigan showed that purchasing things you enjoy can be up to 40 times more effective at giving you a sense of control than not shopping. In this study, those who actually purchased items were also three times less sad compared to those who only browsed.

How brands can respond to environments of high fear and low trust

Listen to your customers. 

During times of financial stress, such as high inflation or recession, seek as much information as possible about your audience. 

Take a deep dive with multiple data streams to build a clear picture of behavior and sentiment. It will likely be vastly different than it was a few months ago and will continue to change. Don’t leave questions out of your research about fear and perceived risk with your customers.

Words matter.

The world is changing faster than ever, with your buyers’ attention and priorities shifting quickly in response to stressful events. 

For brand marketers and product managers, understand that language that sounded good last month can mean something entirely different today.

Take action. 

With insights from your research, determine what your brand should do to address your customers’ wants, needs, and fears. Your target audience has expectations from brands during uncertain times. Discover what they are, and see if you can deliver while remaining authentic to your brand promise. 

Communicate authentically. 

Be bold and authentic when storytelling and communicate practical information to help reassure and educate your customers. Give your customers an added feeling of security and stability by providing in-depth information. Choose to be a voice of comfort, instilling confidence in your consumers and alleviating fears with the right message. 

Fear and anxiety aren’t going away anytime soon. Financial fear and stress can adversely affect buying behaviors, so it is essential to acknowledge these emotions and develop strategies to address them head-on. What was true of your target audience a few short months ago may not be true today. It all starts with an in-depth understanding of the perceived risks and barriers to purchase when it comes to your product or service. Great research is the first step for brands to develop compelling and compassionate messaging that helps customers feel empowered, confident, and comfortable with their purchase decisions during times of financial stress.

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 honor 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 favorite 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 behavior 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 favorite food or cuisine?

South Indian Food (particularly Dosas).

What is your all-time favorite 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.

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 favor 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 behaviors, 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 behavior 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 (link) 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. 

The phrase “Never judge a book by its cover” does not apply to product packaging design. When package design is the only reference a consumer has, he is bound to go for the most appealing option. Years of market research have established that what’s outside the package is as important as what’s inside it. How else will a product stand out in a sea of competing brands? Yes, brand loyalty, ingredients, and other factors can make a difference, but in the end, most of it comes down to consumer psychology. 

In a store, the package design is the gateway to the product. Successful brands use psychology in their product design and packaging, driving sales and brand loyalty. Consumers often perceive a product’s function and worth based on its packaging and design.

Product packaging is primarily dictated by the target audience and what they want. For brands targeting a younger demographic, for instance, it is essential to add personalization and brighter colors and fonts that appeal to the youth. 

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This can change when catering to the same demographic in different countries. For instance, the environmental impact of packaging is a relatively less critical purchase factor for Japanese consumers, yet 80 percent of the respondents in India factor the environmental impact of packaging into their purchase decisions.

Understanding Consumer Psychology

Any buying decision involves consumers going through several cognitive stages when looking for a product actively. Their perceptions and opinions are based on what they see during this stage. After they select and purchase a product, they continue to evaluate their decision based on the product’s performance and experience. 

When a product’s perceived value is high, consumers are less impulsive than when the value is lower. This explains why over 70 percent of supermarket purchases are not planned. Shoppers in supermarkets and grocery stores rely primarily on the instinctive cues they get from package design as they browse stores. These help them make quick judgments about the product’s quality and value and can be why they add it to their carts (or not). 

Choosing the right colors

Research shows that color is one of the first things our brains see when they come across a brand and is often the first thing that pulls consumers in. 

Do you feel calm in a blue room, and does yellow make you anxious?

Pablo Picasso once said, “Colors like features, follow the changes of the emotions.” Colour is known to change emotions, moods, and feelings dramatically. Colors can have different meanings from culture to culture, as the idea of color is deeply rooted in our experiences. 

Color psychology is a hot topic in marketing, branding, and graphic design because colors play a huge role in brand perception and image. 

When selecting colors, it is imperative to look into the cultural significance of each color. This becomes necessary for brands planning international market entry, as different cultures have different connotations and emotions attached to specific colors. For instance, while green is a color of prosperity in many Muslim nations, it is a color associated with illness and death in some South American cultures. 

It is also essential to consider how your brand colors align with your brand and its identity. Other considerations are whether these colors stand out in a crowded marketplace and how they would work for those who are colorblind. 

Format and materials

The format or shape of the packaging is often based on whether the package will be used or discarded. In case it’s part of the product, like a milk carton, the quality, materials, and function are important considerations. For instance, a square or rectangular base is better so it can fit in the refrigerator more efficiently, and an easy-to-pour spout enhances convenience and functionality.

Packaging design depends on many other factors as well. For instance, a luxury product needs to be packaged in a way that reflects the high price of the product. In recent years, sustainability has also become a huge factor in selecting packaging materials, and an exciting product design may encourage consumers to post the packaging or unboxing online.

Typography and labels 

Typography is the art of placing text to make the copy clear, legible, and visually attractive. It utilizes font style, size, and structure to evoke feelings and emotions and convey a message. It also helps balance the graphics on a package. 

The font styles and sizes you use on your packaging play a huge role in the overall design and how consumers perceive your brand. The logo, typography, and fonts allow your brand to stand out from the competition. The typography helps catch your target audience’s attention and conveys the brand’s message. It also helps establish consistency, a vital aspect of brand identity. 

For a successful packaging design that quickly moves the product off the shelves, brands need to know their target audience and stay abreast with the latest trends. The typesetting, fonts, and styles you use, just like the graphic and color choices, are based on your target market —factors such as age, gender, language, culture, and preferences influence the typography of a product’s package design. 

By providing invaluable information regarding current market trends and the unique wants and needs of a brand’s consumer base, market research helps a brand develop its business and marketing strategy. Market research benefits many different facets of business, including product design and packaging. 

Brands need to have complete knowledge of consumer desires and the effect of specific product packaging on purchasing patterns and preferences. In market research, there are many different means for gathering this data, each with its own set of advantages. In most cases, it is best to use a combination of methodologies to understand the effectiveness of your packaging design and labels. 

Market research allows brands to tap into the psyche of their target markets to gain a deeper understanding of how a package design impacts purchasing decisions. 

This can be done in many ways by gathering data, each method with distinct advantages. 

Some common forms of gathering data:

1. Focus groups 

Market researchers often use focus groups and show them labels and packages to gauge their first reactions to the design, colors, typography, offers, and form. The focus group participants sample the product and look at the packaging and label to provide insights into what part of the packaging would influence their purchase decision. 

2. Interviews and discussions

Many brands conduct interviews with consumers as they browse competing products in a store setting. Questions like, “what made you add a product to your cart?” can uncover purchase decisions and the effectiveness of your product packaging. You may also interview employees from different departments who know the product well.

3. Surveys

Online surveys are a quick and easy way to conduct a survey. These can be carried out for in-store and online purchases on eCommerce sites and allow for anonymity, providing information and insights into purchase decisions and behavior. A well-designed survey employs a rating scale and asks open-ended questions. 

4. Observation 

Market researchers often use direct observation by visiting the store and observing how the products on the shelf move. In this manner, it is possible to see how the placement of items in a store affects sales. It also allows brands to look closely at the competition to see what graphics, colors, and other visual elements affect purchase decisions. How would your product look in comparison to competing brands? Does it blend in or stand out? Does it stand out in a good way? Making frequent visits to stores can provide a window of opportunity and is a powerful way to conduct market research. 

Market research provides invaluable insights into market trends, consumer psychology, and behavior. It can help formulate the right business and marketing strategy for businesses, including package design. 

Package design research is more critical now than ever. In many cases, the retail package design is the only advertisement for the brand. The brand’s packaging has a few seconds to draw consumers to the product and evoke purchase intent. 

While brands use many quantitative and tried and tested package designs, they often tend to overlook the subjective side of research, which requires qualitative research methods and tools—knowing the “why” behind purchase decisions and consumer motivations can provide the essential piece in understanding the effectiveness of a new package design or redesign. 

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 behavior 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 utilize 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 utilizes 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 panelists 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 behaviors, 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 overemphasized. 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 visualize 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 organization, 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. Personalization, 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, personalized 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 behavior 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 center 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, favorable 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 prioritize 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 optimize 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.

How is your product received by consumers or business decision-makers? What are the pros and cons of a change in an existing product feature or new varieties of your current big-sellers? Why is a product failing to perform? You want to tweak a formulation, messaging or packaging to cut costs or reach new audiences – but will that scupper or supercharge your sales? The answers to all these questions can be found in product testing research.

What is product testing?

With product testing, we’re not looking to establish general consumer attitudes or behaviours. Nor is this about standing up a new concept or looking for gaps in the market. The primary job of product testing is to tell us how people respond to an actual product – including how they use it and what they think its qualities are – allowing brands to decide whether and how to market it.

When should I do product testing research?

Let’s look at the natural marketing life-cycle to explain how product testing research can support the emergence, and successful exploitation, of a product – and place it in the context of a wider field of market research:

  • Ideation – dreaming up an idea worth pursuing. Research helps identify unmet consumer needs, value-chain opportunities, potential applications of innovation and new markets.
  • Screening – a rigorous approach to deciding which ideas are worth pursuing, again drawing on research and feasibility work, and assessing potential audiences.
  • Concept testing – seeing how the manifestation of ideas might work in the market, leading to additional screening out of less viable concepts.
  • Prototyping – designing products to prove mass production feasibility, form factors and feature sets.
  • Early product testing – evaluating consumer attitudes to the product itself, either in controlled settings, in the field or in everyday contexts; typically unbranded or with highly simplified packaging.
  • Late product testing – which might include feedback from earlier tests to refine messaging, packaging and final form factor.
  • Testing iterations of a product to forecast the impact (on sales and usage) of changes to features, formulations, targeting and marketing – often in response to changes in sales patterns or negative customer feedback.

In other words, product testing is distinct from concept testing. It’s all about refining the delivery of something that is (or soon will be) a finished product. This might include changes to feature sets, the marketing pitch, pricing, ideal target audience and other details. It’s not so much whether the product works – it’s how the product will work best.

Use cases for product testing research

In summary, then, you can apply product testing to:

  • Find out how a close-to-final version of a new product might perform.
  • Tweak that product to optimise its performance on launch.
  • See how a new product is performing post-launch.
  • Test the effect of changes to product design or presentation.
  • Evaluate or explore how a product is marketed.
  • See how well consumers in a new market will accept an existing product.
  • Undertake ‘penalty analysis’ to see which qualities, when changed, alter consumer options about a product.

Product testing in action – a case study

One way to think about the value of product testing is as a way to optimise the introduction or evolution of a particular product. A good example is work we’ve done with a beverage brand to launch a new range of iced teas. The client wasn’t launching a brand-new product – they had worked up some new flavours and wanted to know which they could launch successfully, how these might affect brand perception and what consumers made of them.

There were eight formulations to be tested. We added in an established variant to act as a benchmark, giving us a way to test the relative strength of the products. We measured various metrics with consumers to provide comparable scores as a key insights.

The product isn’t necessarily going to change in this case. It’s a chance for the client to check which variants might work best, to optimise the roll-out and then make minor refinements if the research delivers consistent feedback on particular elements. How research subjects describe the teas might also help shape marketing and packaging for instance.

In other cases, clients might test out product names and straplines on consumers while they’re testing the product to create a range of possibilities, not just on the branding and marketing, but also on likely target audiences and even pricing. Does the product live up to a premium positioning? Or will it chime with more down-to-earth messaging?

The role of product testing guidelines

We work with many clients that have well-established product testing guidelines – a set of standards that enable them to better evaluate products over time and give them clearer benchmarks for making decisions. For large corporates in particular, the product testing research project is an exercise in generating fairly standardised numbers – data that fits a well-established, almost algorithmic approach to evaluating potential product performance.

When this isn’t the case – or if the guidelines are relatively basic – it’s a good idea to establish some clear ground rules at the start of a project to ensure it delivers insights that will shape client decisions. You might need to agree:

  • How the product should be stored, prepared, presented and used.
  • The audience it should be tested with, and how to recruit them.
  • Where to conduct tests with participants (see below).
  • What metrics to record.
  • How to record their experiences – and other feedback.
  • The research methodologies that will work best.
  • Whether to use a control product for comparative purposes.

Introducing a framework helps everyone understand what success looks like for a product: for it to go forward, what will the research need to show? Is it being on par with an existing or rival product on overall performance? Does it need to be statistically stronger on key metrics?

In some ways, it’s akin to a science experiment: you outline the aim (proving it’s better than the existing product) based on your prediction (the product design); we provide a sound, rigorous methodology to test that assumption (the research); and the result gives conclusive result to tell you how to proceed.

How does product testing work? Where and how to test

Different objectives of product testing will suit different methodologies. A lot depends on what brands already know about the product and the way it’s perceived; on what they want to learn from the tests (see below); and the type of product under review.

There are broadly three environments to conduct product tests. Let’s look at the use-cases and the pros and cons.

1. Central Location Testing (CLT)

This is where participants are invited to a facility to undertake the test. This is ideal for evaluating products in controlled conditions, especially when testing a variety of use cases. It’s also suited to products that won’t be used as much in the home – especially in food outlets, for instance.

A good example would be a new foamless cappuccino we tested. To get comparable results, the same machine was used in different central testing centres, with the client providing an expert barista to produce the same product every time.

CLT is ideal for evaluating products under controlled conditions – testing different fragrances, say, is hard if the conditions allow for cross-contamination of scents. But it’s also very useful where confidentiality is important. We set up a CLT in a hotel, for example, so that a new tech product could be tested by invited consumers without the design leaking. Non-disclosure agreements might be a feature of any product test, but for this kind of commercially or technologically sensitive research, the controlled setting can be helpful too.

The other advantage of CLT is liability management. Some products – foodstuff and cosmetics, in particular – might cause adverse reactions with test subjects, and it’s easier to screen and monitor them on-site.

You can find out more about central location testing in our guide.

2. Street Intercept Testing (SIT)

This is literally grabbing participants in an ambient setting for a few minutes to get them to try something and test their reactions. This works well for relatively simple research – the questionnaire will need to be relatively quick in a supermarket or street setting – and for targeting particular participants. Testing a new cheese at the deli counter in a supermarket would be one application.

It’s also ideal for capturing insights within specific use locations – when a central facility would be a little abstract. We worked with a sports beverage brand to test a special protein-rich drink. The use-case is post-exercise, so intercepts with the target market in a gym setting yielded much more insights than a central location could have.

3. In-Home Testing (IHT)

For many products, the consumer’s home (or, in some cases, their workplace) will be the usual usage location. Getting the products into the home for a period of use, then running online, telephone or face-to-face follow-up questionnaires is a great way to see how they work ‘as intended’.

In-home testing tends to be ideal for more sustained testing. The taste of a new iced tea or reformulated cheese can be tested fairly immediately. But a toothpaste, cleaning product, in-home device or even lightbulb, will only reveal itself properly over a few days’ use. Out of the control conditions, we can learn more about how good instructions for use are; we can see how consumers might use the product in their daily lives or in combination with other products; and we can monitor evolving opinions about the product as they get used to it.

Obviously in-home testing has been popular during Covid-19 lockdowns – not least because many products are now being consumed or used in the home that might otherwise have been ambient products; but also because centralised or street intercept tests have been harder to run for biosecurity reasons.

Note also that IHT allows for different research methodologies. As well as post-use surveys, we can get consumers to keep diaries of use, highlighting a wider variety of situations and providing more qualitative inputs.

Woman scanning food in her fridge with her phone

How to do product testing

Where to start

For many companies, product testing isn’t the start of their journey with us. This kind of research is often part of a much bigger engagement process around a brand or product line; or it might be commissioned by a brand we already do different kinds of work with. So the starting point is rarely a cold introduction to a product.

But even with some engagement beforehand, the first step in product testing is to look at the product and the client’s requirements, and then design an approach that will answer their key questions.

For some, those questions will be extremely precise. For example, one detergent brand asked us to test out a new toilet cleaning product. They knew exactly what segment they wanted to target – ABC1 consumers in their 30s and 40s who were already familiar with the brand – and even the methodology they wanted (in-home testing).

That’s largely a logistical challenge – getting the product and a control cleaner into their homes, in plain packaging, so they can be tested side-by-side; then running an online survey to generate some quantitative data and some qualitative feedback comparing the product to a known comparator.

Another example might be a commercial-kitchen mayonnaise we tested. The client was keen to assess not just how the product performed against other formulations of mayo, but also what professional chefs thought of it in different applications. Will it be at least on par with the existing product? What recipes or dishes did it suit? And how did it compare commercially?

One thing to bear in mind is that you should be testing for things you might change as a result of the insights we generate. Knowing what can change (from packaging and marketing, to cosmetic attributes or even key design features) as a result of the research findings – and what you definitely can’t alter – will ensure the tests are focused and useful.

Methodology reflections

We find that CLT is generally better for ‘sequential monadic’ testing. ‘Monadic’ means the consumer is evaluating a single product, and this is obviously possible in any environment. Even ‘paired comparison’ testing – head-to-head – can be done in-home. But sequencing the comparisons scientifically (standalone, then in head-to-head, for example) often generates more reliable data.

In terms of participant recruitment, clearly targeting the audience accurately – whether in the field, via lists of consumers, or panels – is key. They are often motivated because they receive free products. But in some cases, especially with the more in-depth or time-consuming studies, the chance to earn money is also a motivator.

Hard and soft questions

Product testing can answer a lot of questions. For seasoned clients, they’re often very precise ones – they’re seeking standardised data on usage and performance that will help them contextualise the product within a portfolio.

A good example of a ‘hard’ question might be pricing. Using techniques such as the Gabor–Granger method (to understand price elasticity) or the Van Westendorp Price Sensitivity Meter (which creates an optimal price point for a given audience), research can reveal a lot about the economics of a product.

Hard questions like that are often central, even when we’re working with smaller companies that are looking to take a product from prototype to production and need to calculate the risk/rewards involved.

Smaller companies, however, are more likely to be asking ‘soft’ questions, too, where quantitative surveys are augmented with qualitative insights. They might be trying to learn more about consumer attitudes to the category as well as the product; or develop a deeper understanding either to tweak the product being researched – or inform future innovations.

A good market research agency can really help with this part of the process. For example, in some companies there might not be rigid product testing guidelines in place. But by explaining what they need to know to market the product, what they might be able to change about it and what they’re not sure about, we can help companies come up with fieldwork that will deliver clear metrics and provide answers to their key questions.

What’s the outcome?

A well-planned, well-run product testing project is rarely just looking for a blunt ‘go/no-go’ answer to a product roll-out or adjustment. Although many big brands have a well-established formula for conducting product tests – designed to plug data into their tried-and-tested algorithms – even these clients will often use the test as an opportunity to learn more about the product in different dimensions.

Sometimes that’s just a by-product of a sufficiently expert and thoughtful product test. As market research professionals, we learn a lot more about products during tests than the raw data suggests. Often it’s the degree of flexibility the market research team brings to the product test that makes it most valuable.

That’s true whether the primary objective is standardised data on product attributes – or semi-quantitative work with a healthy dose of qualitative inputs to shape decisions. By making sure the parameters for the product’s adaptation are clear and the questions about it well framed, we can ensure the right blend of methodology and insights meet the client needs.

A good example of that would be taste tests for a new formulation at a chocolate brand. ‘Super tasters’ working at the client will arrive at some finely calibrated formulation, created to be aligned to brand values and differentiate the product. But it’s ordinary consumers whose verdict will shape its ultimate success.

Looking to embark on product testing research?

With experience in product testing research, we can combine the inputs and recommend robust methodologies to make sure the product hits the sweet spot in the market. Find out more about our product testing capabilities or get in touch to discuss with our team.