What RPV is and how to compute it

Revenue per visitor is the average revenue from one unique visitor over a period:

RPV = revenue / unique visitors

If a store took 3,000,000 in revenue from 100,000 unique visitors in a week:

RPV = 3,000,000 / 100,000 = 30 per visitor

RPV is not what each visitor pays. It is an average across everyone: most buy nothing, a minority
produce the entire revenue.

RPV as the product of CR and AOV

RPV decomposes into two components:

RPV = CR × AOV

At a 2% conversion rate and an order value of 1,500: RPV = 0.02 × 1,500 = 30.

That matters for reading A/B tests: RPV can grow through conversion, through order value, or
through both. Watching one component while ignoring the other risks the wrong conclusion.

Why RPV is the best A/B test metric

E-commerce tests routinely face the question of which primary metric to use — conversion, order
value or revenue. RPV settles it:

Scenario CR AOV RPV The right conclusion
Conversion up, order value flat ↑ → ↑ A win
Conversion down, order value up ↓ ↑ ↑ A win, invisible in CR
Conversion up, order value down ↑ ↓ → or ↓ Ambiguous
Nothing moves → → → A draw

Tip: use RPV as the primary metric and conversion and order value as secondary ones that
explain the mechanism. If RPV rose only through order value while conversion fell, check whether
upper-funnel behaviour degraded.

RPV by segment

An aggregate RPV hides differences between segments. When RPV rises in a test, it is worth checking:

  • Did it rise equally on mobile and desktop?
  • Does the effect differ between new and returning shoppers?
  • Are there categories where the change did the opposite?

Breaking RPV down by segment is a standard step of post-test analysis.

RPV and personalization

Personalized recommendations move both components of RPV:

  • Conversion rises because the shopper finds a relevant product faster
  • Order value rises through cross-sell and upsell on relevant items

The combined effect on RPV is multiplicative, which is why well-designed personalization experiments
tend to show a strong return.