Revenue First.
See which ads actually drive revenue.

Visitor session data (source, page views, device type) and order amount on purchase events. Personal information such as names and email addresses is not collected.

We use first-party cookies to manage an anonymous visitor ID and a session ID. Sessions end automatically after 30 minutes of inactivity. No third-party cookies are used.

Retention depends on the plan. Starter: 14 months, Growth: 24 months, Scale: 36 months.

Yes. RevenueScope captures revenue from dataLayer purchase events and can be reconciled against your EC admin (Shopify / BASE / STORES / WooCommerce, etc.). On the free plan you can cross-check revenue, order count, and channel-level revenue against real data. Treatment of duplicate orders, cancellations, and refunds depends on your dataLayer setup, so we walk through it during onboarding.

Yes. Up to 5,000 sessions/month is free forever. No credit card required.

Yes. Cancel anytime — no cancellation fee. You keep access until the end of the current billing period. Data is kept for 30 days after that, then deleted.

We currently offer only monthly plans. Annual plans may be added based on demand.

Simply remove the tag from the admin panel — tracking stops immediately, with zero impact on your site.

Contact us. For EC operators well beyond 200,000 sessions/month, an enterprise plan is available. We handle multi-site setups, large session volumes, and custom support arrangements.

RPS (Revenue Per Session) = revenue ÷ sessions, a measure of how efficient each ad is at bringing in revenue. AOV (Average Order Value) = revenue ÷ orders. With RPS you evaluate "which ad is efficient", with AOV you evaluate "order quality / ticket size". Combined with CVR, you get three angles on ad investment — shift budget from low-RPS to high-RPS ads and maximize revenue within the same spend.

RevenueScope treats RPS (Revenue Per Session) as the most important metric. High CVR with low ticket size or thin traffic still won't grow revenue. RPS is the single metric where acquisition efficiency and customer value multiply together — it tells you whether a site is actually making money. CVR and session count are intermediate metrics that support diagnosis but, on their own, are not a basis for ad-investment decisions. RevenueScope places RPS at the center and decomposes ad efficiency through the 4 core metrics — Revenue, AOV, RPS, and CVR.

No — high CVR with low ticket size can still mean poor ROI. RPS and AOV together let you evaluate both acquisition efficiency and purchase quality at once, which is what you need for real budget decisions.

Session and purchase events appear on the dashboard within seconds — effectively realtime.

From each buyer's ad-touch history. Four models are available: full credit to the last touch, full credit to the first touch, equal split across all touches, or higher weight toward the touches closest to purchase. Pick the question you want answered, and the model switches automatically.

RevenueScope is focused on revenue efficiency by ad channel (Revenue / AOV / RPS / CVR — 4 core metrics, plus Sessions in a 5-KPI card layout). For integrated management of gross margin, LTV, inventory, CRM, and ROAS (return on ad spend), we recommend pairing it with other tools (Shopify Analytics / BI tools / CRM SaaS / ad-API-direct platforms). Use RevenueScope as a lightweight dashboard for daily ad decisions.

RevenueScope intentionally avoids direct ad-API integration. Pulling spend data from Meta / Google / TikTok APIs requires ongoing maintenance for spec changes, OAuth flows, and per-platform diffs — costs that conflict with the "single tag, 5 minutes, GTM-only" low-friction setup that SMB EC operators rely on. Instead, we capture purchase events and session info from dataLayer + GA4, and break down ad-investment decisions across Revenue / AOV / RPS / CVR — the 4 core metrics. If you need ROAS (return on ad spend), use the numbers in your ad-platform dashboards or pair us with an ad-API-direct platform.