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What Is Respondent Retargeting?

This article explains the concept of respondent retargeting and how to use it. Learn how to re-extract specific respondents based on previous survey responses to conduct follow-up surveys.

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What Is Respondent Retargeting?

Respondent retargeting is a feature that allows you to re-extract respondents who meet specific conditions from those who previously participated in a survey and conduct a follow-up survey.

For example, you can select respondents based on a specific response condition such as "people who answered 'No' to Q1 in collection group B of Survey A" and send them a new survey.

This allows you to address additional questions that arise while reviewing survey results, such as "There are many respondents who answered this way. I wonder why?" You can conduct a follow-up survey targeting only those respondents to understand more specific reasons or context.

Why Should You Use Respondent Retargeting?

1️⃣ Enables tracking surveys and linked surveys

Using respondent retargeting, you can track changes in awareness or behavior over time by targeting the same respondents.

You can also send additional surveys to respondents who chose specific answers to confirm more in-depth reasons, or conduct sequential surveys with multiple modules targeting a single group of respondents.

This allows you to analyze even the context of responses or trends in changes that are difficult to capture with a single survey alone.

2️⃣ Enables precise analysis by selecting specific respondents

When analyzing survey results, there are times when you want to know more about the thoughts or reasons of respondents who chose specific answers.

In such cases, respondent retargeting allows you to re-extract only respondents matching a specific condition, such as "respondents who selected 'No' in Q1," and conduct a follow-up survey.

This enables more precise analysis and additional research focused on a specific group of respondents rather than the total responses.

When Is Respondent Retargeting Needed?

✅ When you want to find the reasons for specific negative respondents dropping off

"More respondents than expected said they would not use our service. I'd like to ask specifically what features or experiences led them to decide to leave and find ways to improve. 🧐"

You can set only respondents who chose negative answers like 'No intention to reuse' as a condition from the previous survey to re-extract them. By sending a follow-up survey only to these extracted respondents, you can specifically understand the reasons for discontinuing service use or inconvenient experiences.

✅ When you want to measure changes after trying a new product

"I want to re-confirm whether potential customers who said they would purchase our new product in the last survey still feel the same way after actually trying the product, and check their satisfaction levels. 🤔"

You can re-extract only respondents who selected 'Intent to purchase' from the previous survey and conduct a survey targeting the same group to check their usage experience, satisfaction, and repurchase intent after actually using the new product.

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