Shop Along Research: When It Fits and How to Run It in India

Shop along research is a qualitative study in which a researcher observes a real shopper making a real purchase and asks why they chose as they did. The researcher can be at the shopper's side, can watch the shopper's own phone recording afterwards, or can watch a live screen-share.

It answers questions such as:

• Why does the shopper choose one brand or pack size over another at the shelf?
• Which part of a display, label or price tag do they read, and which do they ignore?
• How do offers and competing prices change the decision on the spot?
• Where do they hesitate, switch or give up, in a store or on an app?

Because it is qualitative, it explains behaviour in depth from a small number of people. It does not count how common that behaviour is. That is the job of quantitative research, such as a survey.

Choose a shop-along when the decision you need to understand happens at the shelf or on the screen, and when people would struggle to describe it afterwards. For anything you need to count, or anything that happens away from the shelf, another method fits better.

Recruit on behaviour, not intention. The screener, the short qualifying questionnaire, should ask "In the last month, have you bought [product] at a [type of store]? Which store, and when did you last buy it?" and never "Would you buy [product]?". People answer the second question optimistically, and the session then has nothing real to observe. Our guide to research screeners covers how to write them.

Pick the format by how visible a second person will be. In a modern-trade store (a large organised chain store such as a supermarket or hypermarket), an in-person accompanied shop works well. In a kirana or a crowded market, a moderator at the shopper's shoulder is hard to miss.

Observers can make a research situation too intimidating for natural behaviour, as Nielsen Norman Group notes in its guidance on field studies. In a small shop, a second person at the counter is hard to miss, so our recommendation for kirana work is a self-recorded shop followed by a call straight after the visit, while the details are fresh. Keep accompanied shops for larger stores.

Shop-along studies usually fail before the shopper reaches the shelf. In our view, these five planning gaps are the most likely to derail one:

Each of these is a planning step, not a research skill, which is why the checklist comes before any discussion guide.

Before a shop-along starts, you need six things in place: written store permission, consent that covers staff and bystanders, a lawful data plan, a behaviour-based screener, an incentive that covers the trip, and a non-video fallback. Run each test below before fieldwork. A single fail means you are not ready.

Does the store agree in writing?

Pass: you hold written permission from the owner or manager covering the date, the number of sessions and any recording. Fail: a verbal agreement, or permission only for "a visit".

Does the consent form cover everyone who may be recorded?

Pass: the form tells the shopper what is recorded, who sees it, how long it is kept and how to withdraw, and a written plan covers staff and other customers (for example, filming shelves and hands only, and telling staff beforehand). Fail: consent covers the shopper alone. Our guide to informed consent in research goes into the detail. The ICC/ESOMAR International Code, the international code of practice from the European Society for Opinion and Market Research, requires in Article 1 that participation is voluntary and based on clear information, and that participants can withdraw.

Is the personal data handled lawfully?

Pass: before the session, a plain-language notice lists the personal data collected and the purpose, a named person holds the footage and contact details, and a retention period is set in writing. Fail: any of these is missing. As of 10 October 2026, the notice and consent duties under the Digital Personal Data Protection (DPDP) Act, 2023 apply from 13 May 2027, 18 months after the Digital Personal Data Protection Rules, 2025 were notified on 13 November 2025 (Gazette notification G.S.R. 846(E)). The Rules also set 13 November 2026 for the registration of Consent Managers. Our recommendation is to meet the notice and consent standard now. The Act itself is summarised on MeitY's data protection page.

Does the screener test behaviour?

Pass: every qualifying question starts "In the last month, have you…", asks for the store and the date, and screens out anyone who cannot name them. Fail: any "would you" or "do you plan to" question.

Does the incentive cover the trip?

Pass: the reward is at least the shopper's stated travel cost, plus the full price of any products they must buy, plus a time fee, confirmed in writing before the session. Fail: the shopper pays any part from their own pocket. Our guide to what to pay research participants in India covers the time fee.

Is there a fallback if filming draws attention?

Pass: the shopper can switch to photos or written notes, and the consent form says so. Fail: video is the only option.

Plan 8 to 10 shop-alongs for each shopper segment, and stop adding sessions when three in a row give no new reasons for choice. This is our recommendation for a qualitative study, not an official figure. With two segments that gives 16 to 20 sessions.

Our model for a two-segment study (modern-trade shoppers and kirana shoppers), using 10 sessions per segment:

• Modern-trade shoppers, accompanied shop: 10 sessions × 3.5 hours (0.5 pre-interview + 1.5 in store + 0.5 post-interview + 1.0 travel and notes) = 35 moderator hours
• Kirana shoppers, self-recorded shop with a follow-up call: 10 sessions × 2.0 hours (0.5 pre-interview + 0.5 reviewing recordings + 0.5 post-call + 0.5 notes) = 20 moderator hours
• Fieldwork total: 35 + 20 = 55 moderator hours
• At 7 productive hours per moderator per day (our assumption), 55 ÷ 7 = 7.9, so 8 moderator-days (5 for the accompanied shops at two a day, 3 for the kirana sessions)
• Recruits: with 20% no-shows and drop-outs as the model's assumption, 20 completes ÷ 0.8 = 25 people recruited, about 12 or 13 per segment

Analysis time is extra, and a small sample explains behaviour without representing every shopper. For the cost lines on the recruitment side, see our guide to user research recruitment cost in India.

We recruit, screen and coordinate the shoppers for your study. You send us your research brief, covering the objective, method, target shopper, geography, sample size, timeline and recruitment criteria. We assess feasibility and send a tailored proposal and quote, because pricing depends on the method, audience, geography and how hard the profile is to recruit. Once scope, commercials and timelines are agreed, recruitment begins.

Our recruitment covers India: metros, Tier 1 and Tier 2 cities, and urban, semi-urban and rural locations. We work across multiple Indian languages, assessed project by project, so a shopper can screen and take part in the language they shop in. Participants are told what a study involves and how they will be rewarded before they commit, and incentives are processed after the session is completed and validated.

If you are new to us, we are open to a small pilot or introductory first project, depending on your requirements, so you can judge participant quality before a larger study. Share your brief and the shopper profile you need at Qualfacto and we will tell you what is feasible.