Revenue by product is easy. Profit after discounts, refunds, and acquisition cost — that's what StoreTracker shows. Plus: which channels sell which products, what gets bought together, and which SKUs are wasting ad spend.
High revenue doesn't mean high profit. A product with $40k revenue and 18% refund rate, 31% coupon usage, and $244 CAC from Meta is losing money on every Meta-acquired customer. StoreTracker shows the full picture — before you scale the wrong thing.
A product generating $40k/month in revenue might produce $4k in actual profit after discounts, refunds, and channel-specific acquisition costs. Most tools show you the $40k and stop there.
You're spending $3k/month advertising a product that converts at 0.8% from Meta. The same spend on your #1 organic converter would produce 4× the return. Product-source mismatch is invisible without channel-level product data.
Customers buying product A frequently also buy product B within 14 days — but nobody's bundled them in ads or on-site. The purchase pattern exists in your order data. Nobody's analysed it.
You scale the product with the most orders — not the one with the best margin, lowest refund rate, and highest repeat purchase signal. The second product is often the better business decision.
StoreTracker calculates a profit score for every product — factoring in revenue, discount rate, refund rate, and channel-specific acquisition cost. Sort your catalog by profit score, not revenue, and immediately see what's actually driving the business.
Revenue, orders, and CVR for every product segmented by traffic source. Know what sells from SEO, what sells from paid, and what only sells with a coupon — then build your ad strategy around the truth, not the aggregate.
StoreTracker analyses your order history to find products frequently purchased together — within the same order or within a rolling window. These are your highest-converting bundle combinations for on-site merchandising, catalog ads, and Advantage+.
Weekly suggestions based on channel performance, bundle data, conversion patterns, pricing signals, and profit score trends. Each recommendation includes the rationale and estimated revenue impact.
Which products convert visitors at the highest rate — and which products have high traffic but low conversion, signalling a page, pricing, or product-market fit issue.
/profitable-products last 30 daysProfit score after discounts, refunds & CAC — full catalog ranked/ad-waste last 14 daysProducts with high ad spend and poor conversion — cut or reallocate/source-product-mismatch last 30 daysProducts over-invested vs their channel conversion rate/product-issues last 14 daysHigh-traffic, low-CVR products — page, pricing, or trust problem/campaigns last 14 daysCampaign performance by product and channel with ROAS/bundles last 30 daysFrequently bought-together products from your actual order data/reorders last 90 daysMost popular reorder products and replenishment timing/repeat-funnel last 90 daysWhich products trigger the highest repeat purchase rate by channel/profitable-products last 30 daysSort by profit score to find hidden margin heroes/customer-types last 30 daysWhich products new vs returning customers buy mostConnect your Shopify store and see your full product catalog ranked by profit score — not just revenue. Find what to scale, what to fix, and what to cut.