Turn retail campaigns into measurable sell-through

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

Why Retail businesses choose Campaign Performance Analyzer.

Retail marketing moves fast – weekly promos, seasonal drops, store events and constant price changes. Yet performance reporting often lags behind, split across ad platforms, ecommerce analytics and POS systems. That makes it hard to answer the questions that matter most: which campaigns actually drove sell-through, which SKUs benefited, and whether the lift was profitable after discounts and returns. Campaign Performance Analyzer is built for retail realities like omnichannel journeys, store-level variability and product-level performance. It helps you attribute revenue and margin to the campaigns that influenced them, compare results across regions and formats, and spot where promotions are cannibalizing full-price sales. With a single view of spend, sales, inventory signals and customer behavior, retail teams can shift budget mid-flight, protect margin, and plan the next promotion with confidence – from local store campaigns to national product launches.
12%
Store-level promo lift
Example benchmark for incremental POS sales during a localized promotion when campaigns are optimized by store cluster and SKU.

Benefits

Built for Retail.

SKU-level performance, not just campaign-level averages

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.

Omnichannel measurement across POS and ecommerce

Connect online ads to in-store purchases and BOPIS outcomes. Compare store traffic lift, ecommerce conversion and regional differences to understand true incremental impact.

Margin-aware optimization for promo-heavy retail

Evaluate ROAS alongside gross margin, markdown depth, shipping costs and returns. Optimize toward profitable revenue, not top-line sales inflated by discounts.

Faster budget shifts during peak retail moments

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

Retail use cases.

Weekly promo and circular performance by store cluster

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.

New product drop – identifying the SKUs that deserve budget

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.

Clearance and markdown events without margin surprises

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

Campaign Performance Analyzer for other industries.

FAQ

Frequently asked questions.

How does Campaign Performance Analyzer measure omnichannel impact for Retail?

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.

Can it report performance by SKU, category and brand?

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.

How does it handle promotions, discount codes and markdowns?

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.

What metrics matter most for retail teams using it day to day?

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.

Ready to transform your retail marketing?

Join retail businesses using The AI CMO to outmarket the competition.