Case Study
Kerrato

How We Orchestrated a Marketplace Growth Flywheel for Kerrato That 2x’d Flipkart Sales and Cut TACoS by 30%

Kerrato, a premium hair fibre and styling brand, had strong product-market fit but uneven marketplace traction. Despite powerful R&D-led differentiation and a presence across Amazon, Flipkart, and Myntra, growth was stalling due to inconsistent discoverability, scattered reviews, and inefficient ad spend

Key Business Challenge

Strategically, this was a category where credibility, rating density, and search positioning were make-or-break. The challenge wasn’t just performance - it was to architect a system that could win in an increasingly competitive category.

Kerrato Growth Case Study
Campaign

eCommerce - Indiawide

Industry

Hair & Personal Care

Key Growth Levers

Amazon Growth | Marketplace Growth

Before Re-architecting, We Diagnosed
Where Marketplace Conversion Momentum Was Leaking

Competitor Spend Cannibalizing Visibility

Rival brands were aggressively bidding on Kerrato brand + related keywords, siphoning traffic during peak visibility hours.

No SKU Prioritization Logic

Effort and spend were spread thin across a broad SKU base. Hero SKUs lacked dedicated push or visibility loops.

Reviews and Ratings Split Across Variants

Key SKUs had fragmented review footprints, reducing trust triggers and CTR.

From Spray-and-Pray to
SKU-Stacked, Review-Rich, Profit-Aligned Flywheel

Listing Consolidation for Review Density

Merged fragmented variants to pool reviews and lift star-rating density—improving CTR and aiding flywheel triggers.

Flipkart-Specific Sequencing

Adapted titles and creatives for Flipkart’s algorithm (image-first, bundle-heavy), driving faster push for hero SKUs.

#ROI

Strategic Framework

We reimagined Kerrato’s marketplace growth across three parallel tracks: prioritization, consolidation, and profitability. The approach wasn’t just ad-led, it was ecosystem-led.

SKU Prioritization Framework

Benchmarked CTR, rating count, price point, and contribution margin to shortlist high-potential SKUs for core focus.

Competitor Targeting With Defensive Moats

Identified top overlapping queries with competitors; used ad copies and visual hooks to anchor brand superiority.

Across Amazon, Flipkart, and Myntra, our goal wasn’t to “scale listings”—but to compound winner SKUs into defensible, high-velocity listings. We engineered rating depth, creative clarity, and campaign logic to work as one flywheel. Performance wasn’t bought—it was built.

Over 6 Months,
Here Were Our Results

Higher Amazon Revenue
0 %
Flipkart Revenue
0 X
Better TACoS
0 %

Our SKU prioritization framework flagged one specific hair fiber variant that was underleveraged – but had a 4.7 rating with <50 reviews. Post listing consolidation and push, it became Kerrato’s fastest-growing ASIN with 3x monthly velocity.

Our Learnings
We Don’t Just Sell More SKUs

We Build Profit-Stacked Flywheels That Compound Over Time

01

SKU prioritization isn’t just for inventory planning - it’s central to ad efficiency and discoverability.

02

Reviews are assets. Variant splits without consolidation wastes compounding.

03

Flipkart and Amazon have fundamentally different discovery logics. Format without platform nuance leads to wasted budgets.

04

TACoS isn’t a static metric - it’s the output of ranking, trust, and CTR working together.

Scroll to Top