Know which products to push before you spend the next rupee on ads.
DPanda's Catalog Analytics watches your real traffic and conversion behaviour, then turns it into a label for every product — so you know exactly where to put your Google Ads budget and where to pull it back.
Three data sources. One label per product.
GA4 Traffic Monitoring
Real visitor behaviour on each product page — time on page, bounce rate, scroll depth — pulled directly from your store's GA4 property.
Google Shopping Scraper
Tracks how your listings actually appear and perform against competitors in Google Shopping, not just inside your own dashboard.
Shopify / OpenCart Bridge
A direct API bridge keeps product, price and inventory data in sync, so labels always reflect what's actually live in your store.
Bounce rate as the primary signal — because attention tells the truth.
Spend, clicks and impressions can lie. Whether a visitor actually stays on a product page tells you faster whether the listing, price or creative is working — so that's the signal the label engine leans on first.
Low bounce, rising conversion
The engine flags these SKUs to increase ad budget toward — proven demand, ready to scale.
Moderate bounce, flat conversion
Listings worth a creative or pricing review before committing more spend.
High bounce, no conversion
Budget pulled back automatically — the signal that's wasting spend gets flagged first.
Analytics is the feedback loop, not the end of the line.
What the label engine learns feeds back into which products get distributed further, which get an influencer push, and which deserve an EMI option at checkout.
See your own catalog labelled.
Share your Shopify store and we'll run a sample label pass so you can see the signal before committing to anything.