Campaign Performance Analyzer·E-commerce

Turn E-commerce Ad Spend Into Predictable Profit

Campaign Performance Analyzer connects your ads, storefront and orders to reveal true ROAS, CAC and LTV. Optimize faster with product-level and cohort insights across every channel.

Why it matters

Why E-commerce businesses choose Campaign Performance Analyzer.

E-commerce teams don’t lose money because they lack data – they lose money because performance data is fragmented across ad platforms, analytics tools and the store backend. When Meta, Google, TikTok, email and affiliates each report “wins” differently, it’s hard to know what actually drove revenue, margin and repeat purchases. Campaign Performance Analyzer unifies campaign, product and customer outcomes in one place so you can see what’s really working – down to SKU, landing page and audience cohort. Instead of optimizing to clicks or platform-reported ROAS, you can optimize to contribution margin, new customer efficiency and lifetime value. For fast-moving catalogs, seasonal peaks and constant creative testing, speed matters. With automated performance breakdowns and anomaly detection, teams can quickly reallocate budget, fix funnel leaks and scale the campaigns that drive profitable growth – not just top-line revenue.
10–30%
Blended ROAS vs platform-reported ROAS gap
Many stores see a meaningful difference once refunds, discounts and cross-channel overlap are accounted for – Analyzer helps quantify and close that gap.

Benefits

Built for E-commerce.

True ROAS with order-level attribution

Tie spend to actual orders, refunds and discounts so ROAS reflects net revenue, not inflated platform numbers. Compare channels on a consistent basis and stop scaling campaigns that look good in-platform but underperform in the store.

Profit-first optimization by SKU and margin

Break performance down by product, variant and collection to see which items are paying for acquisition. Optimize toward contribution margin and inventory realities – not just revenue – so you don’t overspend to sell low-margin or frequently returned items.

New vs returning customer clarity

Separate acquisition efficiency from retention effects by tracking CAC, first-order AOV and repeat rate by campaign. This helps you avoid “ROAS traps” where retargeting looks great but doesn’t grow new customer volume.

Faster testing cycles for creatives and landing pages

Monitor creative fatigue, CTR-to-checkout drop-offs and landing page conversion by audience and device. Identify winning hooks and offers faster, then iterate with confidence using clean, comparable reporting.

Use cases

E-commerce use cases.

Scaling prospecting without destroying CAC

Challenge

Your prospecting campaigns drive volume, but blended CAC rises and the team can’t tell whether the issue is creative fatigue, audience saturation or low-quality traffic from a single placement.

Solution

Campaign Performance Analyzer segments results by campaign type, audience, placement and cohort. It highlights where CAC spikes, which creatives are losing efficiency and whether new-customer LTV is holding – enabling safer budget increases and quicker creative swaps.

Fixing discount-driven growth that hurts margin

Challenge

A sitewide promo boosts revenue, but contribution margin drops due to stacked discounts, higher return rates and increased shipping costs. Platform ROAS still looks strong, masking the problem.

Solution

Analyzer reports net revenue and margin-adjusted ROAS by campaign and SKU, factoring in discounts and refunds. You can identify which channels and products remain profitable during promos and adjust offer strategy, thresholds and budget allocation.

Diagnosing checkout and funnel leaks by device

Challenge

Traffic is steady, but conversion rate suddenly dips on mobile. You suspect a checkout change, payment method issue or slow landing pages, but the impact is unclear across campaigns.

Solution

Analyzer correlates campaign traffic with funnel metrics – landing page view, add-to-cart, initiate checkout and purchase – split by device and landing page. It flags anomalies and pinpoints where the drop begins so you can fix the right step fast.

More industries

Campaign Performance Analyzer for other industries.

Online CoursesRetailFashion & ApparelBeauty & CosmeticsJewelryFood & BeverageHome & GardenSaaS

FAQ

Frequently asked questions.

How is Campaign Performance Analyzer different from ad platform ROAS for e-commerce?

Ad platforms often use their own attribution windows and can over-credit conversions, especially when multiple channels touch the same buyer. Campaign Performance Analyzer ties spend to store outcomes at the order level, so you can evaluate performance using net revenue, refunds, discounts and margin. This gives you a consistent view across Meta, Google, TikTok, email and affiliates – and helps you optimize for profitability, not just reported conversions.

Can it report performance by product, variant and collection?

Yes. You can break down results by SKU, variant and collection to see which products drive profitable acquisition and which ones attract high-return or low-margin orders. This is especially useful for catalogs with frequent launches, bundles and seasonal inventory shifts.

Does it separate new customer acquisition from retention and repeat purchases?

Yes. Analyzer distinguishes new vs returning customers and can track CAC, first-order AOV, repeat rate and LTV by campaign and cohort. This prevents retargeting-heavy mixes from disguising weak acquisition and helps you scale channels that create durable customer value.

What metrics should e-commerce teams monitor daily in the Analyzer?

Most teams track net ROAS, CAC, conversion rate, AOV and contribution margin by channel and campaign. For faster iteration, add creative-level efficiency signals like frequency, CTR and CVR, plus cohort quality signals like new-customer rate and 30–60 day repeat purchase rate.

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