Hesitant shoppers message real past buyers of a product, who answer for credit
TL;DR Askback adds an "Ask someone who bought this" button to a D2C brand's product pages. The question goes over masked chat to a few verified past buyers who opted in, and the first useful answer earns them store credit. Brands pay monthly to convert doubtful first-time shoppers.
First-time buyers from smaller towns are now most of the growth in Indian online shopping. IBEF says tier-2 and smaller cities supply about 65% of new shoppers, out of 290–300 million in 2025[1]. Faced with an unknown brand they have questions a product page doesn't answer. Does this pressure cooker fit a small stove? Does the kurta colour run in the wash? Reviews are written for nobody in particular, and brand chat agents are on the brand's side, which is fair enough. No public figure measures how many carts are dropped over unanswered questions, so a pilot has to establish it.
Seed reframe. The seed proposed AR reviews. AR does lift purchase intent in surveys[2], but it needs a 3D model of each product, and AR model services already exist in this directory. The underlying need is trust, and a direct answer from a real owner meets it without any 3D work.
A shopper taps the button and types a question. Askback sends it, with numbers masked both ways, to three to five verified buyers of that product who agreed to help. The first clear answer comes back within hours, on the page and on chat. Answerers earn store credit whether the answer is positive or negative, and every answer is labelled "past buyer, rewarded with credit".
The brand can see answers but cannot edit them. It can hide only abusive or off-topic ones, and the page shows a count of hidden answers.
The brand pays a monthly fee by volume, plausibly ₹5,000–20,000 for a mid-size D2C brand (our estimate), plus the cost of store credit given to answerers. Shoppers pay nothing. Brands already spend on social-proof tools - one review app says it serves 130,000+ brands[3]. Answerers gain credit toward their next order, which also brings them back.
The September 2026 e-commerce amendment requires online sellers to follow the 2023 dark-pattern guidelines and run a yearly self-audit[4], so brands need persuasion methods they can defend. Shoppable-video vendors report Indian D2C clients[5], showing that brands spend on product-page trust. Chat apps are where tier-2 buyers already ask friends.
There's no public figure for India's buyer-to-buyer Q&A or review-software market. As adjacent context, one shoppable-video vendor says 4,000+ brands use its shoppable video, and claims 17–33% higher conversion, a vendor figure without published method[5]. That review app's 130,000+ brands[3] show demand for social proof worldwide. IBEF's 290–300 million online shoppers set the outer frame[1].
Large marketplaces run open Q&A sections, but anyone can answer and replies arrive at a snail's pace. Review apps focus on photo and video reviews[3], and video vendors on shoppable video[5]. Neither connects a live question to a verified owner. The gap is a fast, private, labelled channel to real buyers that a small brand can switch on.
| Difficulty | Moderate (31/100) |
| Starting capital | ₹30–60 L |
| Time to launch | 4–6 months |
The software is modest - number masking, routing and order matching. The hard part is recruiting enough willing answerers per product and getting replies within a few hours, and then holding brands to the no-edit rule when an answer hurts a sale. Small brands also have few past buyers to ask.
No sector licence applies. The risk here is consumer law, because you're handling persuasion and paid answers.
Building this outside India? The categories above usually have a local equivalent, so check with your own regulator.
AI must never write, polish or summarise away what a buyer actually said, and buyer verification should rest on order records, not a model's guess.
Want to work out the AI layer for Askback? Talk to Yash →
I think it's a sensible, low-capital idea for a founder who knows D2C growth and won't bend on honesty rules. It is weak for brands with few repeat buyers or very cheap products. Prove first that answered questions convert at least twice as often as unanswered page visits.
Plan for roughly ₹30–60 L and 4–6 months to launch. The software is modest, so recruiting answerers takes a big share of the effort.
No sector licence. You do need consent under the DPDP Act, clear labels on rewarded answers under consumer law, and a check of the BIS standard on online reviews.
Yes, wherever small online brands struggle to win trust. Rules on paid reviews and endorsements differ a lot, so check your local consumer law first.
The free Askback validation kit has the line-by-line capital breakdown, the effort scoring, the consumer-law and data-protection checklist, a 14-day validation sprint with pass/fail targets, a 90-day launch plan, 10 interview questions for brands and buyers, and 5 assumptions to test. Download the kit →
Thinking about building Askback or something close to it? The make-or-break work is getting enough past buyers to answer quickly without paying for praise, and I'm glad to think that 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.