What is Consumer Feedback?

Jul 21, 2025

What is Consumer Feedback?

Consumer feedback is the information, opinions, and insights customers provide about their experiences with a product, service, or brand. Feedback is one of the most valuable ways businesses can communicate with the people they serve, enabling companies to adjust their products to meet the needs of their customers. Feedback empowers businesses to innovate, sustain growth, and learn more about what works in their market. In the modern marketplace, where data and information are more accessible, reliable, and abundant, collecting data is crucial for running a successful business.


The Role of Consumer Feedback in Business Strategy

Research consistently demonstrates that consumer feedback is a powerful driver of business improvement and innovation. Kaul et al. (2024) conducted a randomized, controlled field experiment where firms engaged in consumer feedback strategies. The researchers found that prompting for consumer feedback increased customer recall by nearly 40% and boosted profits by over 50%. The study found that engaging in any form of feedback significantly increased customer retention and that making decisions based on customer feedback had positive effects for both customers and practitioners. The higher profits associated with engaging in customer feedback were linked to both stronger customer loyalty and enhancements to businesses, products, or services that better serve the customer base.

Kaul et al. (2024) study showing the impact of engaging in customer feedback (treatment) against the control.

Another recent research article finds that customer reviews provide essential insights to promote innovation and foster a connection with customers. By examining several case studies, the study concludes that customer feedback is vital for brands to remain competitive and responsive to market forces. However, the researcher notes that improved communication strategies that build trust are currently a limitation of customer feedback. These constraints can be alleviated by incorporating AI voice agents, which are designed to foster confidence, establish personalized connections, and demonstrate the active use of customer feedback. The study found that the majority (76%) of survey responders believed that customer feedback is "very important" or "important," implying increased consumer confidence in brands that proactively seek consumer feedback on products (Bouklata, 2025).

Survey response conducted by  Bouklata (2025)

The Psychology of Consumer Feedback

Consumer feedback is more than just collecting data; successful businesses understand the psychology and preferences that drive their customers' decisions. Researchers employed eye-tracking technology to conclude that consumers pay more attention to negative reviews than positive ones, emphasizing the importance of businesses resolving negative reviews to prevent a snowball effect that could threaten long-term longevity (Chen et al., 2022). Another research team investigated how company responses to negative reviews affected purchasing. Through an experiment, the team concluded that active, timely, and solution-oriented adjustments led to heightened brand loyalty and increased spending with the firm. Conversely, the team found that failing to engage in customer feedback and ignoring complaints eroded loyalty and deterred potential customers. Indeed, the research team found that responding thoughtfully and promptly to all feedback is critical as it signals to consumers that the business values their input and partnership (McShane et al., 2022). These findings emphasize the need for companies to develop structured approaches to customer feedback, underscoring the crucial role of responsiveness in contemporary management.

Types of Consumer Feedback

For any business seeking to enhance its products, services, and consumer experience, feedback can be collected through various strategies and techniques. Many of these forms can inherently alter the information collected and the nature of the insights generated.

  1. Explicit Feedback: Explicit feedback methodology includes any process that is directly provided by customers, especially when they are directly aware that their responses will be used for customer feedback evaluations. This process is commonly associated with surveys like Customer Satisfaction (CSAT) Surveys (a metric that tests how content the customer is with the product), Net Promoter Score (NPS) surveys (a loyalty metric that measures the willingness of customers to recommend a product or service to others), and post-transaction feedback. This technique is highly beneficial because it addresses specific questions or concerns and tactfully informs the customer that the business values them.

  2. Implicit Feedback: Implicit feedback methodology encompasses all processes that refer to opinions and sentiments expressed without direct solicitation. This process is not as insidious as it may seem and often includes social media comments, online reviews, forum posts, and blog mentions that the customer is aware are public and actively monitored. Indirect feedback helps businesses understand public sentiment and brand perception, often revealing issues or opportunities that structured surveys might miss.

  3. Inferred Feedback: Inferred feedback encompasses any methodology that analyzes customer behaviors independently of explicit statements or online posts. This can include purchase history, website navigation patterns, product usage data, and other forms of behavioral analytics. Companies can analyze how customers interact with products or services to proactively identify pain points and areas for improvement.

  4. Pricing & Value Feedback: Pricing and value feedback measure whether the customers feel the product or service delivers value for its price. By incrementally adjusting prices or interviewing customers who decided not to purchase the product, the business can gain a deeper understanding of pricing strategies to determine if it needs to adapt its value proposition.

  5. Market Trends Feedback: By proactively engaging in market research, market trends feedback uncovers emerging customer needs, preferences, and industry shifts. It is often gathered through open-ended survey questions, social listening, and analysis of broader market data. This differs from other methods, such as direct surveys, which frequently involve closed-ended multiple-choice questions to increase participation, albeit at the cost of actionable comments or suggestions.

  6. Feature Requests and Bug Reports: Sometimes, the most rewarding feedback can be found in product feedback reports, where customers directly suggest new functionalities or highlight issues that need to be fixed. Both are essential for continuous product improvement to meet market demands. Indeed, active participation in feature requests and bug reports can incentivize customers to be more open about their preferences and facilitate better feedback through the development of a community.

  7. Interaction-Based Feedback: Interaction-based feedback focuses on the customer's experience with a specific product or feature. This can be done through service interactions, such as with the salesperson or direct company contact. If the employee notices the customer has preferences or demands that aren't currently met by the product, the company can adjust to better meet the consumer's needs.

Because there is a vast swathe of methodologies that collect, analyze, and help businesses act on feedback, the most actionable information comes from methods that combine information from all sources to facilitate the collection process. Indeed, some companies are revolutionizing how feedback is collected and analyzed through AI-based survey agents. These agents provide conversational, adaptive, and engaging discussions that outperform traditional methods in terms of completion rates, depth of insights, and speed of analysis. By incorporating publicly available or interviewee-described interests, backgrounds, and demographics, AI-based survey agents can elicit actionable insights that include information from all seven categories above.

Feedback Type

Can AI-Based Survey Agents Collect This Information?

Advantages of AI Survey Agents

Can Terac.ai Help You Achieve Your Consumer Feedback Goals?

Explicit Feedback

Yes, through direct interviews

Adaptive questioning, higher completion, and deeper insights

Yes

Implicit Feedback

Yes, through pre-interview analysis and adaptive questioning

Real-time sentiment analysis, trend detection, and personalized conversations

Yes!

Inferred Feedback

Yes, through data integration and consumer preference analysis

Automated pattern recognition, content flag alerts, and intelligence signaling

Yes!!

Pricing & Value Feedback

Yes, through rapid trend analysis and hypothetical analysis

Dynamic questioning, demographic integration, intertemporal comparisons, and cross-interview comparisons

Absolutely!

Market Trends Feedback

Yes, through in-depth market analysis and analyst insights

Emergent need identification, trend analysis, and market analysis

Without a doubt!

Feature Requests and Bug Reports

Yes, through auto-tagging, prioritization, and follow-up questions

Content analysis, pre-interview review, and integration into the dynamic questioning process

Indubitably!

Interaction-Based Feedback

Absolutely, AI agents are designed to excel at adaptive questioning

Personalized, conversational surveys with high engagement

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AI-based survey agents excel at collecting, analyzing, and acting on most types of consumer feedback, especially where structured data is available online (with the interviewee's consent or through pre-interview surveying) about the customer's preferences, interests, and background. Their ability to process large volumes of consumer information, data, and active feedback to dynamically adapt questions to understand which elements of the product the consumer is best suited to generate input about enables AI-based survey agents to be the most powerful tool for modern businesses seeking ot maximize the value of consumer input.

Works Cited:

Chen, T., Samaranayake, P., Cen, X., Qi, M., & Lan, Y.-C. (2022). The impact of online reviews on consumers’ purchasing decisions: Evidence from an eye-tracking study. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.865702

Bouklata, F. E. (2025). The influence of customer feedback and reviews on brand decisions. Global Scientific Journals, 13(5).

Kaul, R., Anderson, S. J., Chintagunta, P. K., & Vilcassim, N. (2024). Call me maybe: Does customer feedback seeking impact nonsolicited customers? Marketing Science, 44(1), 129–154. https://doi.org/10.1287/mksc.2023.0324

McShane, L., Pancer, E., Poole, M., & Deng, Q. (2021). Emoji, playfulness, and brand engagement on Twitter. Journal of Interactive Marketing, 53(1), 96–110. https://doi.org/10.1016/j.intmar.2020.06.002