Sign in with Google Zorin Radovancevic, Shoppster
Impact by the numbers
143%
Increase in nonbrand net profit using margin-weighted data pipelines
85%
Reduction in low-margin brand noise using Smart Bidding algorithms
2.4x
Increase in profit margin by shifting optimization from raw revenue
The winning formula
The challenge
Regional marketplace Shoppster was pulling in strong top-line revenue, but low-margin branded search queries were consuming budget and hiding true business profitability.
The approach
Shoppster stopped bidding on pure revenue and started bidding on profit. The team built margin-weighted data pipelines using a Gemini LLM-assisted workflow to feed clean signals directly into Smart Bidding algorithms, training Google Ads AI to filter out low-margin brand noise and pour budget into high-margin, nonbrand inventory.
The results
Aligning campaign bids with product margins changed the financial health of the business. Shoppster generated a 143% increase in nonbrand net profit and slashed low-margin brand ad waste by 85%, producing an overall 2.4x increase in profit margin.
By feeding margin-weighted data into Google Ads AI solutions, Shoppster shifted from chasing vanity revenue to building a durable, profit-focused marketplace.
