Can You Survey Your Own Customers and a Consumer Panel in the Same Study?

Many brands hold a customer database and assume it is the natural place to run research. Others rely only on a consumer panel. The question that comes up when teams plan an annual research programme is whether they can combine the two, and how to do it without muddling the results.

Why combine your customer list with a consumer panel?

The comparison is where the value lies. If your customers rate you highly on service but the wider market barely considers you, the problem is reach and image, not experience. If both groups share the same complaint, it is a real product issue, not a perception gap.

How do you set up a combined study?

1. Write one questionnaire. Use identical questions and wording for both sources so results can be compared directly.
2. Use separate links or sources. Send your customers a dedicated link and field the panel separately, so every response is tagged with its source.
3. Screen both groups consistently. Apply the same category and decision-maker conditions, and add a question confirming whether panel respondents are your customers.
4. Set quotas for the panel only. Your customer list is what it is; use quotas on the panel to reflect the market you want to understand.
5. Analyse side by side. Report customer results and panel results as separate columns, not one merged total.

What should you watch out for?

• Customer lists skew towards engaged, satisfied people, who are more likely to open research emails.
• Check consent and data protection rules before emailing customers. In Malaysia, personal data use is governed by the PDPA, so confirm your list permits research contact.
• Keep customer incentives in line with your brand guidelines and any loyalty programme rules.
• Panel respondents who turn out to be your customers can be compared with list customers, which helps you see how representative your list is.
• Never merge the two samples into one total. The mix would reflect how many people answered from each source, not the market.

Timing matters too. Field both sources over the same days where possible, so a promotion, festive period or news event affects both groups equally. If your customer email goes out a week after the panel closes, any difference in results could simply reflect what changed in that week rather than a real gap between customers and the market.

What does this look like in a real research programme?

Imagine a supermarket chain redesigning its loyalty programme. The team wants to know which rewards matter most and what would bring new shoppers in. It sends the survey to a sample of its loyalty members and fields the same questionnaire to a consumer panel of main grocery shoppers in the regions where it has stores.

The results differ in useful ways. Existing members value points on everyday groceries and member-only prices. Panel respondents who shop elsewhere care far more about delivery options and fresh produce quality. The programme that keeps current members happy is not the one that wins new households, so the team keeps the core points scheme for retention and builds a delivery-led offer for acquisition.

When should you use only one source?

Use your customer list alone for pure experience questions, such as satisfaction after a service change or feedback on a new app feature. Use a panel alone when you need the market view, such as category sizing, brand health against competitors or concept testing among non-customers. Combine them when the decision depends on the gap between the two.

If you are planning a year of research, it is worth mapping each study to a source at the start. A simple table listing each research question, the audience it needs and whether that audience is your list, the panel or both helps budget holders see why each source is there, and stops the customer list from being over-surveyed.

Whichever source you use, quality checks still matter. Our guide on checking whether survey data is clean enough to trust applies to both. If you are weighing who should run the study, see our comparison of DIY and full-service research.

Where does Vase.ai fit?

We build Vase.ai so one questionnaire can go to your own customer list through a survey link and to a verified panel of Southeast Asian consumers, with AI-validated responses and results in a real-time dashboard.

It is built for brands that want the customer view and the market view on the same questions, run DIY or with research experts. For pure customer satisfaction programmes, dedicated feedback tools such as Qualtrics or SurveyMonkey are also widely used, and the two approaches sit comfortably side by side.

Frequently asked questions