Opt-in panels of a brand's repeat buyers who test products before launch
TL;DR Trialnest helps D2C brands turn their best repeat customers into small, paid-for test panels. Members get new products before launch, answer short structured questions on a chat app and send photos. The brand pays per test round and gets a clear report before it commits to a full production run.
Indian D2C brands launch often and guess a lot. Shoppers now find brands online, and one consulting report says 70% of Gen Z shoppers discover them that way, with Gen Z making up about 40% of online buyers[1].
Yet the feedback loop before a launch is thin. Brands send free samples to influencers, whose posts are marketing and not testing, and ASCI found 69% of India's top 100 digital stars breaking its disclosure rules in early 2025[2]. Or they run a generic survey that hardly anyone answers. Either way the mistakes show up as returns and poor reviews after the stock is already made.
The seed pitched AI-curated brand communities to close the gap between social media and shopping, and I reframed it. Community software is cheap and plentiful, and the leading chat app has offered community groups with admin announcements since November 2022[3], yet most brand groups go quiet because members have nothing to do. A panel with a job lasts longer.
Trialnest picks 50–200 repeat buyers from a brand's order data, invites them with a clear opt-in, and runs test rounds. Each round ships a pre-launch product and then sends five to eight short questions over a week by chat app - first impression, fit or taste, what they'd pay, whether they'd reorder. Members send photos and voice notes. The brand gets a report comparing the new product with its current bestseller, with quotes.
Members are rewarded with the product and store credit. Anyone who posts about it publicly is told to disclose that they got it free.
The brand pays, usually from the product or marketing budget. Panel members pay nothing. For price anchors, chat-app marketing tools cost ₹2,799–3,799 a month[4], and global community software starts at US$89 (about ₹8,600) a month[5]. I'd test ₹40,000–1,00,000 per test round plus a small monthly fee to keep the panel warm, but that price is my assumption.
The leading chat platform moved business messaging to per-message pricing on 1 July 2025 and resumes charging for service messages from 1 October 2026, beyond 1,000 free a month per number[6]. Brands are now counting the cost of every broadcast, which favours small panels that actually reply over blasting a whole customer list.
There's no public figure for India's product-testing panel market or for brand-community software spend. The firmest number is the buyer base - more than 270 million Indians shopped online in 2024[1]. Broader still, e-retail hit about US$60 billion (roughly ₹5.8 lakh Cr) of GMV that year[1].
Neither is your market. Your first proof is paid rounds from a dozen brands.
Trial-sampling apps in India offer shoppers trial-size samples from brands[7], which is sampling to strangers and not testing with a brand's own buyers. Chat-marketing tools run chat-app broadcasts and catalogues[4]. Community platforms host groups but leaves the brand to give them a purpose[5].
The gap is a structured, repeatable test round with known buyers and a report you can make a decision on.
| Difficulty | Moderate (33/100) |
| Starting capital | ₹35–65 L |
| Time to launch | 4–6 months |
The software is simple. The hard parts are operational - shipping test units on time, getting 60% or more of a panel to answer every round, and writing reports a founder trusts more than gut feel. And selling a new line item to brands that already overspend on influencers takes proof.
No sector licence is needed to run panels. The rules come from chat apps, ad disclosure and data protection.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
Don't let AI write the conclusion for the brand. A loyal panel is already biased, and a model summary can hide that, so a person should read the raw answers.
Want to work out the AI layer for Trialnest? Talk to Yash →
Here's what can go south -
I think this suits a founder from D2C product or consumer research who enjoys running operations. If you're hoping for pure software margins in year one then it is a poor fit. Before raising, prove that eight brands ran a second paid round, and that panel results predicted the launch outcome at least twice.
Plan for roughly ₹35–65 L, covering the software, panel operations, shipping test units and selling to brands.
No sector licence. Follow the chat platform's opt-in rules, ASCI disclosure for testers who post, and the DPDP Act. Any product shipped must already be legal for the brand to sell.
Yes. Any market with D2C brands and messaging apps works. Check local consent, advertising disclosure and data protection rules first.
The free Trialnest validation kit has the line-by-line capital breakdown, the effort scoring, the chat-app and disclosure checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for brands and panel members, and 5 assumptions to test. Download the kit →
Thinking about building Trialnest or something close to it? The make-or-break work is keeping panels answering round after round without paying them so much that the results skew. It's a fiddly balance and I'm happy to think it through with you. If you need a hand, you know where to find me. Talk to Yash →
For illustration only. Names are fictional and ideas hypothetical; sourced facts are real but may be out of date. Nothing here is legal, financial or professional advice, and Yash Khatri is not personally liable for any use of it. Read the full disclaimer.