In early 2025, Priya Sharma was running a small home textiles business from Jaipur. Her hand-block-printed cushion covers and table runners were beautiful - her customers loved them. But her Amazon and Flipkart stores were a different story. She was pulling in ₹40,000 a month, spending ₹18,000 of that on ads with an ACoS of 78%, and watching competitors with inferior products outsell her every week. Eight months later, she was shipping 1,400+ units a month and generating ₹14.2 lakh in revenue. Nothing about the products changed. The strategy did. Here's exactly what we built - and how you can apply the same playbook.
When Priya first reached out to us, her listings looked like this:
She wasn't failing because her products were bad. She was failing because she was invisible. Amazon's algorithm had no reason to surface her listings. Buyers who did find them had no reason to click. The few who clicked had no reason to trust.
Six problems, six fixes. Here's the full playbook.
The first thing we did wasn't touch the listings. It was keyword research. We mapped every search term a potential buyer might type - from broad terms like "block print cushion cover" to hyper-specific ones like "Jaipur hand block print 40x40 cotton cushion" - and ranked each by search volume, competition level, and purchase intent.
Then we rebuilt every listing around those keywords. Here's what the title transformation looked like:
"Cotton Cushion Cover Blue Floral 16x16 Inch"
42 characters · no primary keyword · invisible in search"Hand Block Print Cushion Covers 16x16 | Set of 2 Cotton Throw Pillow Covers for Sofa | Jaipur Boho Living Room Décor | Washable Geometric Design"
198 characters · primary keyword front-loaded · long-tail woven inEvery word earned its place. Primary keyword at the front. Secondary and long-tail keywords woven naturally through the copy. Bullet points became benefit-first statements - not "Available in blue" but "Traditional Jaipur Hand Block Print - each piece is hand-stamped by skilled artisans, giving you a one-of-a-kind look no machine can replicate." The product description told the story of the craft. Backend search terms filled every available character with precision.
Within 6 weeks of the listing rewrite, organic impressions went up 340%. Zero additional ad spend.
Priya's phone photos were silently killing her conversion rate. A buyer on mobile sees your hero image for roughly half a second before deciding to tap or scroll past. A blurry image on a bedsheet is not a decision that goes your way.
We briefed a product photographer and built a complete image set for each SKU:
Conversion rate jumped from 4.2% to 11.8% within 30 days. Same traffic. Nearly 3× the sales.
Priya's single auto campaign was a money pit - broad targeting, no negative keywords, no structure, no feedback loop. We shut it down and rebuilt from scratch using a disciplined 3-tier architecture.
Purpose: find new converting search terms. Low bids, wide net, daily monitoring. Every keyword that converts here graduates to Tier 2. Every keyword that doesn't gets added to the negative list.
Purpose: extract maximum value from proven keywords. Higher bids, tight targeting, aggressive bid adjustments based on weekly ACoS data per keyword - not per campaign.
Purpose: protect your real estate. Competitors actively bid on your brand name. Defence campaigns stop them intercepting buyers who are already looking for you specifically.
We set ACoS targets per category and adjusted bids weekly based on data - not instinct. Negative keywords were added aggressively from day one. No more spend on "cushion cover waterproof outdoor", "cushion cover for bikes", or any other irrelevant query draining budget.
In 90 days: ACoS dropped from 78% to 14%. Ad spend stayed the same. Revenue from ads tripled.
Priya had priced her products by instinct - roughly matching generic competitors without understanding the margin implications or where her products actually sat in the market.
We ran a full competitive pricing audit. Where Priya's products had genuine differentiation - handcrafted, artisan-made, traceable craft origin - we adjusted prices upward, above the generic machine-made alternatives. Buyers specifically searching for hand-block-printed products are not price-shopping the bottom tier. They're willing to pay for provenance - and our listing now communicated that provenance clearly.
We also built a promotional calendar around Amazon and Flipkart's major sale events: Lightning Deals and coupons during Great Indian Festival, Diwali bundles priced to increase average order value, and disciplined price holds during the post-sale period to protect margin recovery rather than racing to the bottom.
Average selling price increased by ₹85 per unit while conversion rate held steady. Revenue per unit improved before volume even started climbing.
12 reviews with a 3.8 average is commercially invisible. Amazon's algorithm treats review count and rating as ranking signals. Buyers treat them as trust signals. Both were working against Priya.
We built a systematic, policy-compliant review approach:
Six months later: 340+ reviews, 4.6 average rating. New products now get their first 20 reviews within two weeks of launch.
Most sellers make one critical and expensive mistake: they copy-paste their Amazon strategy to Flipkart and wonder why results don't follow. Flipkart has its own search algorithm, its own buyer behaviour patterns, its own promotional mechanics, and its own fulfilment reward system. Treating it as an afterthought leaves significant revenue uncaptured.
What we built specifically for Flipkart:
Flipkart went from 10% of Priya's total revenue to 38% within three months of treating it as a separate channel.
Whether you're bleeding ACoS, stuck at a sales plateau, or just starting and can't get traction - we've built this playbook across dozens of categories. Let's talk about your business specifically.