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Amazon Scaling Case Study | FiveHands
Amazon India Case Study

How We Scaled an Amazon Brand from ₹6 Lakh to ₹81 Lakh per Month

(Without Chasing Ads)

“Performance drops on Amazon rarely start inside the ad account. Ads are where the damage becomes visible.”
₹6L/mo
₹81L/mo
13.5x
~25%

The Situation

Monthly revenue hovered between ₹5.8 and ₹6.5 lakh, but growth was unstable. Performance dips were frequent; revenue drops of 20–30% occurred even during periods of active ad spend. Initial responses focused on advertising tweaks, which delivered short-term relief but never addressed the root cause.

Where Growth Was Breaking

1. Inventory & Fulfillment Instability

Repeated FBA stockouts forced listings to shift to MFN. Conversion dropped by ~25%, CAC increased by ~18%, and profitable campaigns turned inefficient.

The Fix:

Spend was limited to core keywords only until FBA inventory was restored. Once replenished, conversion recovered within 48 hours.

2. Review Volatility

Negative reviews led to a 15% drop in PDP placements and a 12% decline in organic sales.

The Fix:

Shifted spend to lower-competition, high-intent terms and prioritized review recovery before further scaling.

3. Competitive Fulfillment Advantage

Competitors with faster delivery (FBA/Vendor) improved their conversion by 7–10% despite weaker listings.

The Fix:

Operational fix: Opened additional fulfillment centres in key states to reduce delivery timelines.

The Turning Point

Once inventory, delivery timelines, review sentiment, and PDP health were stable, advertising performance changed materially. CAC declined by 25% over three months, and revenue increased 2.5x during the same period.

The campaigns had not changed significantly. The system had.

The Final Results

Monthly revenue scaled from ₹6 lakh to ₹81 lakh. CAC reduced by ~25%, and conversion stabilised across both paid and organic channels. Growth became predictable rather than reactive.

Key Insight: Amazon growth is a coordination problem between inventory planning, fulfillment speed, review sentiment, and paid media execution.