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▲51%
more Shopping revenue
Label Intelligence automatically recognizes which products deserve your budget - and which ones should first be tested further or slowed down.
20% of products generate 80% of revenue
Google Ads shows what already sells. Analytics and other data additionally help to identify which products have potential that Shopping is not yet tapping into.
A small store does not need unnecessarily complex segmentation. A large account needs more differentiation. Shoploop adapts the strategy automatically.
up to about 5 meaningful segments including top sellers - depending on budget and available data.
Shoploop re-evaluates performance regularly. Products can move up, be downgraded or be tested again - automatically.
Illustrative example
Our customers
Shoploop already runs in real stores and client accounts. That is exactly where the optimization loop was built, tested and improved step by step.
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▲51%
more Shopping revenue
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▲23%
more Shopping revenue
Optimization on autopilot
Shoploop continuously analyzes where revenue potential is left on the table, prioritizes the biggest levers, implements the optimizations and checks their impact. As soon as the data changes, the next round begins.
Bring Merchant Center, Google Ads, Google Analytics and other sources together.
Identify the products, search queries and feed issues with the greatest potential or the most unnecessary cost.
Optimize product data for Google and AI search, prioritize winners, fix feed errors, exclude irrelevant search queries.
Check the impact and schedule measures again where needed.
No. The strategy is adapted to the amount of data and to your ad budget.
Google Ads and Analytics data among others, plus further available signals.
No. Shoploop handles the logic and the ongoing re-evaluation.
You continue to manage your target ROAS directly in your Google Ads account. You can also enter it in Label Intelligence so Shoploop can manage your products accordingly.