snapdeal

Product Rescue Challenge · Product Analysis

Win on reliability,
not on the lowest price

Snapdeal's Tier 2 shoppers can't tell a good ₹449 kurta from a bad one before buying. The fix is one promise, "Jaisa dikha, waisa mila", kept when buyers choose, buy, receive and resolve. It starts with six near-free fixes, then gated pilots.

Open the prototype ↗▶ Video walkthrough ↗All files ↗

1 Understand 2 Problem 3 Strategy 4 Build 5 Impact

Varun Kumar
October 2026 · Independent educational analysis, not affiliated with Snapdeal

JAISA DIKHA, WAISA MILAWhat you see is what you get CHOOSETruth in every listing BUYNo walls, no surprises RECEIVEPromise kept, checked RESOLVEFix it fast, prove it

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snapdeal01 / Understand the product · journey audit

I walked to checkout: the app looks good, trust breaks

3"Cotton" search shows "Cotton Blend" items

9Same item's description says "Chinon"; colours listed don't match

54.1★ from 352 ratings but only 2 reviews; "1% recommend"

10"Snapdeal does not select, edit, modify… seller information"

6Delivery 7–11 days; price ₹400 → ₹416 on size M

15Offers checkbox pre-ticked at checkout

Voice of customer

Trustpilot 2.3/5, 40% one-star (412 reviews): wrong items, failed pickups, slow refunds. Play Store 4.4 from 25.6 lakh reviews.

snapdeal.com, 15 Oct 2026 (stopped before payment); Trustpilot (Oct 2026); Google Play (Sep 2026). Context: FY26 NMV ₹1,093 cr, 1.22 cr buyers, 65% Tier 2+, still loss-making (AceVector RHP). App walkthrough in the detailed PDF.

Varun Kumar · Snapdeal Product Rescue · Product Analysis↩ Start · Prototype ↗ · 2 / 7

snapdeal02 / Key problems, root cause & 5 W’s

Price is table stakes. Trust is the open gap.

Problem to solve

Value shoppers can't judge quality before buying, so they hesitate, return items as "not as described" (NAD), or switch apps. Unhappy buyers are not won back.

Root cause Hypothesis	Conf.
Fought a GMV war against better-funded rivals (lost No. 2 by 2017)	High
Weak quality and trust signals for unbranded goods	Key gap
Undifferentiated: Meesho, Shopsy and Amazon now charge sellers zero commission under ₹1,000	Medium
Price-led messaging; weak service recovery and social engagement	Medium

Who

Tier 2+ value shoppers (occasion buyers, home restockers, new online shoppers) and small sellers

What

Can't judge quality; "100% quality" is a claim; let-down buyers drift away

When

At the product page, at delivery, at return; peaks in festive sales

Where

Product page, checkout, after delivery, and on Instagram and reviews

Why

Quality varies by seller; price-led messages; rivals match price

Solution

One promise kept at 4 moments: Choose, Buy, Receive, Resolve

Validate first (Q1 research): 24 buyer and 10 seller interviews, 1,500-buyer survey, 12 months of returns by reason. No primary research is claimed here.

Varun Kumar · Snapdeal Product Rescue · Product Analysis↩ Start · Prototype ↗ · 3 / 7

snapdeal03 / Proposed strategy

One promise at four moments: "Jaisa dikha, waisa mila"

1 · ChooseTruth in every listing→2 · BuyNo walls, no surprises→3 · ReceivePromise kept, checked→4 · ResolveFix it fast, prove it

Moment	What changes	Proven elsewhere
Choose	Checked fabric and colour, buyer photos first, size in inches, one price in every size	Amazon "frequently returned" badge; Myntra: ~50% of returns from sizing
Buy	Guest cart; date, return and refund before paying; opt-ins unticked	Guest cart already works on snapdeal.com
Receive	One promised date, ₹30 if late; one-tap "did it match?"	Flipkart Open Box Delivery
Resolve	Refund on pickup; Hindi callback in 24 h; proof the seller fixed it	Amazon AI review highlights (for honest summaries)
Foundation	Seller Truth Score: one-tap fixes, coaching; accurate sellers rank higher and pay less for ads

North Star

Orders delivered, kept and rated "matched". Discounts can't fake it.

Month 1: six near-free fixes

One fabric name everywhere · one price per size · date in order summary · untick offers · guest cart in app · ask for notifications after the first order

Market

TAM $65–66B e-retail · SAM $15–20B value lifestyle Assumption · SOM ₹2,000–2,500 cr NMV by FY29 Target

Not doing: price war · private labels · own stores or logistics.

Varun Kumar · Snapdeal Product Rescue · Product Analysis↩ Start · Prototype ↗ · 4 / 7

snapdeal04 / Solution prototype & implementation

12 tappable screens, then 4 gated quarters

Tap inside the phone like a real app; 6 tasks tick off as you go. Sample data only.

Try the prototype ↗

Q1 · QUICK WINS + RESEARCH₹35 lakhSix fixes in month 1; interviews, returns baseline; low-cost growth testsGo if NAD is a top-3 return reason

Q2 · CHOOSE + BUY₹60 lakhChecked listings A/B in 2 categories; Truth Score; guest cartGo if NAD −2 pp; conversion drop ≤ 1%

Q3 · RECEIVE + RESOLVE₹45 lakhPromised date, "did it match?", refund on pickup, Hindi callbackGo if repeat +3 pp; refund ≤ 5 days

Q4 · EXPAND₹80 lakhMore categories and towns where gates are metGo if contribution/order ≥ baseline

Low-cost growth (≈ ₹20–25 lakh in 90 days): buyer-photo credits, Tier 2 micro-creators, WhatsApp updates in Hindi, capped referrals, seller sharing kits. AI flags; people decide.

Varun Kumar · Snapdeal Product Rescue · Product Analysis↩ Start · Prototype ↗ · 5 / 7

snapdeal05 / Business impact & measuring success

Only fewer bad returns make this pay

North Star: orders kept and rated "matched". Each quarter's budget is released only if its gate is met.

Metric	Role	Pilot target Target
"Not as described" return rate	Primary	−2 pp vs control
90-day repeat purchase	Primary	+3 pp
Recovered buyers who reorder	Primary	Set after Q1 baseline
Purchase conversion	Guardrail	No drop > 1%
Refund time · seller retention	Guardrail	≤ 5 days · ≥ 90%
Instagram comment and save rate	Leading	Up month on month

Net result per 1,000 pilot orders Assumption

Saved trips (₹110 per avoided return) + repeat orders, minus ₹2–3 per order for checks and coaching. Break-even: NAD returns fall ~1.9 pp.

Decision requested

Ship six quick fixes now. Approve ₹35 lakh for a 90-day research quarter, go / no-go on day 90. Full plan ≈ ₹2.2 cr, released gate by gate.

Varun Kumar · Snapdeal Product Rescue · Product Analysis↩ Start · Prototype ↗ · 6 / 7

snapdeal · Product Rescue Challenge

Thank you

Prove the problem, pilot the fix, scale only on evidence.

Varun Kumar
varun.kumar44@yahoo.com · linkedin.com/in/varun-pm01 · varun-kumar-pm.netlify.app

The promise

Jaisa dikha, waisa mila

Choose

Truth in every listing

Buy

No walls, no surprises

Receive

Promise kept, checked

Resolve

Fix it fast, prove it

Prototype ↗▶ Video walkthrough ↗All files ↗↩ Back to start