Impact Of Availability Bias On Market Research Data

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Impact Of Availability Bias On Market Research Data Big Data in Marketing
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Cognitive biases, such as availability bias, can influence your decisions in subtle but significant ways. Unlike factual reasoning, availability heuristics makes you lean heavily on easily recalled information. 

In market research, this bias can distort the findings, where the objective is to gather unbiased customer opinions. Understanding and identifying this bias can help you take steps to ensure your market research data provides an accurate account of customer preferences and behaviors, enabling you to make informed decisions.

What is Availability Bias?

Availability heuristic or bias is a type of cognitive bias where individuals give more significance to the information that they can easily recall. This leads to people heavily relying on recent or impactful memories rather than considering relevant data/facts. 

Ease of recall, emotional impact, recency effect, and frequency all contribute to this bias. Media influence and personal experience are two examples of the impact of availability bias in everyday life.

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The Impact of Availability Bias on Respondents in Market Research

Impact Of Availability Bias On Market Research Data Big Data in Marketing

In a world where customers consume information from social media, the Internet, podcasts, and news, availability bias has become a major factor in misinformation. This harms business decisions. 

A research found that 61% of companies make customer experience improvement decisions based on customer feedback influenced by recent interactions rather than a comprehensive analysis. 

Here are a few ways availability heuristics skew market research findings. 

1. Skwewd data collection

Respondents may recall recent/dramatic experiences more easily, which can lead to a biased memory. This can reflect on their response to your market research, skew the data, and result in misrepresented market trends. 

For example, if a retailer conducting market research heavily advertises a newly launched product, it might influence the respondents’ opinion of the memorable incident. 

2. Misinterpretation of consumer preferences

When respondents share feedback influenced by recent events, it can lead to a misinterpretation of consumer preferences. Companies might make business decisions based on biased data, which can lead to misalignment with actual market needs. 

3. Biased behavioral data

Respondents may overreport a purchase or overvalue a need, leading to an inaccurate understanding of consumer behavioral habits. For example, a customer who recently purchased some home decor may overreport their need for home decor products, skewing a retailer’s insight into its customer behavior. 

4. Impact on brand perception studies

A positive or negative experience can disproportionately influence a respondent’s perception of the brand. This can lead to an inaccurate evaluation of the overall brand perception. 

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Identifying Availability Bias in Market Research Data

Availability bias can distort findings, leading to misguided business decisions. Here, we’ll identify some common signs of this bias. 

1. Overemphasis on a recent event

If you conduct a survey right after a music concert and gather an overwhelmingly positive response, this may be due to the recency of the music concert than the actual customer experience. 

2. Emotional response: 

If a financial institute is surveying its customers after a recent economic issue, the respondents might over-emphasize a particular emotion influenced by the recent event rather than their overall financial behavior. 

3. Inconsistent data patterns: 

Data showing a sudden spike or drop in trends without a logical explanation can be a good identification of availability bias. For example, a sudden increase in gluten-free diets might be attributed to the media coverage rather than a genuine health concern. 

Also read: Biased Survey Questions 

Strategies to Mitigate Availability Bias of Respondents to Gather Valuable Data

Now that we have learned how to identify availability heuristics in market research data let’s explore three ways you can prevent this bias from negatively impacting your research findings. 

1. Diverse sampling methods

Implement random sampling techniques when selecting a survey sample. This method will ensure that you are surveying a balanced demography of a diverse and representative sample. It allows you to minimize the influence of recent events and avoid overrepresentation. 

2. Careful survey design with randomization and skip logic 

Design survey flow using randomization and skip logic to reduce order effect, mitigate recency, and increase focus on relevant information. 

  • Randomization helps mitigate the recency or primary effect, enabling respondents to share genuine answers. 
  • Skip logic ensures respondents avoid irrelevant questions that may influence biased recall of events/experiences. 

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Impact Of Availability Bias On Market Research Data Big Data in Marketing

Conclusion

Availability bias can skew market research data. Recognizing and mitigating this bias is essential to gathering reliable and accurate insights for informed decision-making. By addressing the availability heuristic, you can create an accurate and comprehensive view of your target market and develop a more effective business process.

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