Campaign Performance Analyzer connects ad spend to POS and ecommerce sales, so you can optimize by SKU, store, channel and margin – not just clicks.
Why it matters
Benefits
See which products and variants actually moved because of a campaign – including attach rate and basket lift – so you can double down on winners and stop funding SKUs that don’t convert.
Connect online ads to in-store purchases and BOPIS outcomes. Compare store traffic lift, ecommerce conversion and regional differences to understand true incremental impact.
Evaluate ROAS alongside gross margin, markdown depth, shipping costs and returns. Optimize toward profitable revenue, not top-line sales inflated by discounts.
Monitor performance daily during holiday, clearance and new-collection launches. Reallocate spend by channel, store cluster or product category before inventory or demand changes make the data obsolete.
Use cases
Challenge
A retailer runs weekly promotions across paid social, search and local store ads, but can’t tell which regions gained incremental sales versus shifting demand from nearby stores.
Solution
Campaign Performance Analyzer groups stores into clusters, compares baseline vs promo periods, and ties spend to POS lift and units sold by category – helping you scale promos where they truly work and reduce spend where cannibalization is high.
Challenge
A new collection launches with broad awareness spend, but only a few SKUs have strong sell-through. The team needs to know which products are driving conversion and repeat visits.
Solution
Analyze performance at SKU and variant level, including first-time vs returning customers, add-to-cart rate and basket composition. Shift budget to the best-performing SKUs and creative angles while the drop is still in-market.
Challenge
During clearance, ROAS looks great, but profit is unclear due to heavy markdowns, higher return rates and fulfillment costs on ship-from-store orders.
Solution
Campaign Performance Analyzer incorporates discount depth, estimated gross margin and returns to show profit per order and profit per SKU – enabling you to cap spend on unprofitable items and prioritize inventory you need to move.
More industries
FAQ
It combines campaign spend and engagement with commerce outcomes across channels – ecommerce orders, POS transactions and BOPIS. You can review performance by store, region, channel and SKU to understand where campaigns drove sales, not just clicks.
Yes. Retail teams can analyze results at product hierarchy levels – SKU, variant, collection, category and brand – and compare metrics like units sold, revenue, gross margin contribution and sell-through rate to identify what truly moved.
Campaign Performance Analyzer separates full-price and discounted revenue, tracks discount depth and can segment results by promo type – coupon, automatic discount, markdown and bundle. This helps you see whether a campaign drove profitable lift or simply subsidized purchases that would have happened anyway.
Common retail KPIs include ROAS, CAC, units per transaction, average order value, attach rate, sell-through, in-store vs online mix, return rate and profit per order. The Analyzer lets you prioritize the KPIs that match your goals – growth, margin protection or inventory movement.
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