A real-world case study on fixing inventory, fulfillment, reviews, and advertising as one system—not silos.
Snapshot
Marketplace: Amazon India
Starting scale: ₹6–6.5 lakh per month
Peak scale achieved: ₹81 lakh per month
Growth multiple: ~13.5x
Primary constraint: Revenue volatility despite consistent ad spend
“Performance drops on Amazon rarely start inside the ad account.
Ads are where the damage becomes visible.”
The Situation
At the start, the brand had clear demand and active advertising campaigns. Monthly revenue hovered between ₹5.8 and ₹6.5 lakh, but growth was unstable and unpredictable.
Performance dips were frequent and difficult to diagnose. Campaigns would perform well for weeks and then suddenly lose efficiency. CAC fluctuated sharply without any clear changes in bids or budgets. Revenue drops of 20–30% occurred even during periods of active ad spend.
Initial responses focused on making advertising changes. These tweaks delivered short-term relief but never addressed the root cause of the instability.
Where Growth Was Breaking
Inventory and Fulfillment Instability
Repeated FBA stockouts forced listings to shift from FBA to MFN. Each time this happened, conversion dropped by approximately 25 percent, CAC increased by around 18 percent, and previously profitable campaigns turned inefficient.
Traffic levels remained stable. Buyer confidence did not.
Instead of pushing more spend, exposure was deliberately reduced. Spend was limited to keywords with proven conversion history, exploratory campaigns were paused, and scaling resumed only after FBA inventory was restored.
Once inventory was replenished, conversion recovered within 48 hours and CAC returned to baseline before scaling resumed.
Review Volatility and Trust Loss
Small shifts in review sentiment had an outsized impact. Even one or two negative reviews led to a roughly 15 percent drop in PDP placements, a 12 percent decline in organic sales over the following week, and a 10–15 percent increase in CAC on conversion-sensitive campaigns.
Rather than compensating with higher bids, exposure was reduced on trust-sensitive keywords. Spend was shifted to lower-competition, high-intent terms, and review recovery was prioritised before any further scaling.
Visibility stabilised first, followed by recovery in conversion and organic sales.
Competitive Fulfillment Advantages
As the category matured, several competitors gained faster delivery through vendor tie-ups. Despite weaker listings and lower ratings, faster delivery improved their conversion rates by an estimated 7–10 percent.
Aggressive bidding did not close this gap.
The fix was operational. Additional fulfillment centres were opened in key states, reducing delivery timelines across high-volume regions.
Conversion rates improved without increasing ad aggression, restoring competitiveness.
Buyer Expectations Around Delivery
Buyer tolerance for slower delivery declined rapidly, influenced by quick-commerce behaviour.
When MFN delivery SLAs slipped from two days to four days, campaign efficiency dropped by approximately 20 percent and wasted spend increased, even though targeting and bids remained unchanged.
Campaign exposure and bids were adjusted in line with fulfillment readiness to ensure demand generation never exceeded operational capability.
Wasted spend reduced and efficiency stabilised.
When Campaign Optimisations Started Working
Once inventory availability, delivery timelines, review sentiment, and PDP health were stable, advertising performance changed materially.
CAC declined by approximately 25 percent over three months. Revenue increased 2.5x during the same period. Even small bid and placement adjustments started producing consistent gains.
The campaigns had not changed significantly.
The system had.
Results
Monthly revenue scaled from ₹6 lakh to ₹81 lakh per month without linear increases in ad spend. CAC reduced by approximately 25 percent, and conversion stabilised across both paid and organic channels. Revenue volatility dropped sharply, making growth predictable rather than reactive.
What This Case Study Shows
Amazon growth is not primarily an advertising problem.
It is a coordination problem between inventory planning, fulfillment speed, review sentiment, PDP trust, and paid media execution.
When these elements move together, ads amplify growth.
When they do not, ads absorb the blame.
About Five Hands
Five Hands works with Amazon brands as operators, not optimisers. We focus on identifying and fixing the constraints that limit scale, so advertising becomes a lever rather than a liability.