What post-purchase share rate should you aim for in your vertical? To help you assess the viability of your referral program before activating it, we built a vertical-level model from structural assumptions: AOV, purchase frequency, propensity to recommend, margin level. Every figure in this article is an estimate from that model, not data measured at merchants: use them as starting points, then replace them with your own numbers.
Model methodology
These estimates are not based on a panel of merchants but on sector-level reasoning. For each vertical, we start from typical parameters (AOV, repeat frequency, how "recommendable" the product is, gross margin) and derive assumptions for share rate, conversion, and CAC. Values are deliberately rounded: they give an order of magnitude, not a guaranteed forecast.
Three key metrics are estimated per sector:
- Post-purchase share rate: share of buyers activating their referral link within 7 days.
- Referred conversion rate: share of visits from a referral link that convert into an order.
- Blended CAC: weighted average customer acquisition cost across Meta Ads and referral.
Highest-potential verticals
Beauty & skincare (DNVB) — 74% estimated share
In our model, beauty comes out as the vertical most favorable to post-purchase sharing. The reasons are structural: experiential products, customers who love to recommend, high repeat frequency. For a premium beauty DNVB, we assume a range of 68% to 82%, with an assumed AOV around €55 and a 90-day repurchase rate of 38%.
Target cashback in our model: 5%. Below 4%, we estimate the rate could fall to around 46%. Above 7%, marginal gains flatten while margin erodes.
Sport & outdoor — 67% estimated share
Sport follows close behind, lifted by engaged communities around running, cycling, yoga. For a sports or outdoor equipment brand, our model estimates a 64-71% range. With higher AOVs (€120-180 assumed), lower cashbacks should suffice.
Target cashback: 4%, capped at €25/share.
Fashion & accessories — 58% estimated share
Fashion is less inherently viral (purchases feel personal), but our model still puts it at 55-62%. We assume brands with strong storytelling (an eco-conscious fashion brand or a label with a strong community, for instance) sit at the top of the range. In this vertical, cashback should work better as a voucher than as cash.
Target cashback: 6%, with an assumed conversion lift of about +28% in voucher format.
Moderate-potential verticals
Food & beverage — 41% estimated share
Food is a special case: tight margins, high frequency, low basket. According to our model, cash cashback is too low in absolute value to trigger sharing. We therefore model a 2× voucher mechanic instead: referrer gets €5 cash, referee a €10 voucher usable on the first order.
Target cashback: 3% cash + €8 voucher for the referee. With this mix, our model estimates the rate could climb to 52%.
Home & décor — 38% estimated share
Home purchases are less frequent (1-2 orders/year assumed) and highly considered. Referral should work better on a longer timeframe: we model cashbacks that can be activated over 90 days instead of 30, with an estimated share rate rising from 28% to 44% over the period.
Target cashback: 8%, validated only on orders >€120.
Accessories & jewelry — 51% estimated share
High-visibility vertical on social (Instagram-friendly): jewelry, leather, eyewear. For a direct-to-consumer jewelry or eyewear brand, our model estimates a 48-56% range. High AOV (€145-280 assumed) allows generous absolute cashback values.
Target cashback: 7%, capped at €35/share.
Blended CAC: the real metric to compare
Share rate is only an intermediate indicator. The business metric that matters is blended CAC after activation. Our model's estimates (the starting Meta CAC is an assumption too):
- Beauty: Meta-only CAC €52 → estimated blended CAC €14 (-73%)
- Sport: Meta-only CAC €58 → estimated blended CAC €19 (-67%)
- Fashion: Meta-only CAC €64 → estimated blended CAC €23 (-64%)
- Accessories: Meta-only CAC €71 → estimated blended CAC €26 (-63%)
- Home: Meta-only CAC €89 → estimated blended CAC €41 (-54%)
- Food: Meta-only CAC €38 → estimated blended CAC €18 (-53%)
In our model, no vertical ends up with a blended CAC above Meta-only CAC after 3 months of activation. That follows from the setup: referral adds a channel whose cost (cashback + commission) is proportional to the sales it generates. It remains to be verified on your own numbers.
The 4 performance levers
Within a single vertical, execution should matter a lot: our model assumes gaps of up to 2× on share rate. Four levers look decisive to us:
- Pre-written message per language and channel: offer 3-4 templates (warm WhatsApp, concise SMS, Instagram DM, email) rather than letting customers write it. Assumption used: +22% share.
- Cashback visible from the post-purchase landing: show the amount in € (not %). Assumption used: +18% conversion.
- D+3 reminder email: nudging silent buyers would, according to our model, recover about 14% additional shares.
- Frictionless cashback payout: this is our model's core assumption. A reward that lands on the card by itself engages more than cashback to claim via PayPal or an IBAN: we model a retention gap of roughly 2× in favor of automatic card-to-card payouts.
Where do you stand?
If you're already running referral, compare your 3 indicators to your vertical's estimates, keeping in mind they are assumptions, not observed medians. If you're well below (by more than 15%), a CRO audit may be worth it. If you're well above (by more than 20%), capitalize: build an ambassador community.
If you haven't launched yet, use your vertical's estimate as an indicative 6-month target, to be adjusted as soon as you have your first data. The first 3 months are for calibrating cashback rate, mechanics, and share templates.
Post-purchase virality is a measurable mechanic
This model doesn't replace your own measurements, but it shows one thing: post-purchase referral is not a "random" channel. Its drivers (vertical, AOV, reward level and format, share execution) can be identified, quantified as assumptions, then verified on your own data.
The only real question left: how much longer will you finance your growth 100% on Meta?
Get a personalized estimate of blended CAC and share rate based on your sector, AOV, and volume.