How to use RPV by Traffic Source

Most stores look at sessions by channel and revenue by channel separately, then eyeball the relationship. That misses the point. The real question isn't "how much revenue did Meta drive?" — it's "how much was each Meta session actually worth?"

Channel-level RPV answers that directly. A €0.85 RPV channel and a €3.40 RPV channel are not the same business, even if both delivered €50k last month. One is a volume play with thin margin per click; the other is a high-intent stream you should defend and scale.

Why blended RPV hides your real channel mix

A blended RPV of €2.10 across 400,000 monthly sessions feels like a single number describing your store. It isn't. It's a weighted average across channels with wildly different conversion rates and average order values.

Branded search and email tend to convert at 4-8% with high AOV — returning customers who already trust the brand. Cold prospecting on Meta or TikTok converts at 0.5-1.5% with smaller carts. Mix those into one number and you get a story that's true on average and wrong for every individual decision.

The cost of that blur shows up in budget allocation. When blended RPV ticks down 10%, you can't tell whether your high-value channels softened or whether you simply scaled a low-RPV prospecting campaign that diluted the average. The fix is the same either way: segment first, then diagnose.

How to measure RPV per channel cleanly

Use the same RPV formula — revenue ÷ sessions — but filter both numerator and denominator by the same channel definition. Most stores rely on GA4's default channel grouping (Paid Social, Paid Search, Organic Search, Email, Direct, Referral) as the starting point, which keeps the slices consistent over time.

Two attribution choices change the numbers materially. Last-click overweights bottom-funnel channels (branded search, direct, email). Data-driven or position-based models spread credit toward discovery channels like Meta and TikTok. Pick one model and stick with it — the absolute number matters less than month-over-month consistency.

The shape above is typical: a 7x spread between your most revenue-dense channel and your coldest prospecting source. If your spread is flatter than 3x, attribution is likely collapsing channels together — usually iOS-related last-click loss bundling paid social into direct.

What good looks like — benchmarks by channel

Ranges below assume a Shopify store doing €1M-€15M with a 50/50 prospecting-to-retention spend split. Use them as a sanity check, not a target — your AOV, repeat rate, and category sit underneath every one of these numbers.

Apparel and beauty tend to cluster near the lower end of each range due to smaller carts; electronics and home goods sit higher because of AOV. Subscription brands skew the email row dramatically upward — values above €8 RPV on email are normal once a list crosses 100k engaged subscribers.

If a channel sits two ranges below its benchmark — say Meta at €0.30 RPV for a beauty brand — the diagnosis is almost always upstream: creative fatigue, broken audiences, or a landing page mismatched to the ad promise. RPV is the symptom; the fix lives in the creative or the page.

Acting on the data — pairing RPV with CAC

RPV on its own tells you traffic quality. RPV minus CPC (or minus CAC per visitor) tells you whether a channel is profitable to scale. A €1.10 RPV channel with a €0.40 cost-per-click is healthy; the same RPV with a €1.30 CPC is bleeding money on every session.

Build the view as a single table: channel, sessions, RPV, cost-per-session, contribution margin per session. Sort by margin per session. That ordering — not spend, not revenue — is what should drive next month's budget shifts. Anything above zero margin per session is a candidate for more budget; anything below needs creative work or pruning.