Cart recovery & post-purchase
Why this matters for your business
Two moments in the customer journey are worth more than any other:
- The cart abandonment moment. Customer browsed, added to cart, didn't check out. They were interested enough to commit one click; the next click is what you need. Most stores leak ~70% of carts at this stage; recovering even 15% adds meaningful revenue.
- The post-first-order moment. Customer just bought. Their trust in your brand is at its peak. The next 30-60 days are when they're most likely to buy again — if you stay in conversation. Most stores send a thank-you and then go silent until the next campaign.
Cart recovery + post-purchase journeys are the pre-built answers to both. Multi-channel (email + WhatsApp + SMS), customizable (start with defaults, tune later), measurable (per-step funnel + revenue + lift). They activate with one click each and start producing revenue in days.
What this typically unlocks
| Outcome | Result |
|---|---|
| Cart recovery rate | 8-22% typical |
| Second-order rate within 60d | +34% lift vs. no journey |
| Revenue per recovered cart | same as average order |
| Setup time | 5 minutes (defaults work) |
| Time from activation → first recovery | same day |
| Annualized revenue (median brand) | +$30K-200K |
Cart recovery — what you actually get
A 4-6 step flow with multi-channel + smart fallback:
Step-by-step rationale
| Step | Why this timing/content |
|---|---|
| Wait 30 min | ~40% return on their own; don't nag |
| Email + 10% off | Email lower fatigue cost than WA; modest discount |
| Wait 24h | Give breathing room; opened-not-clicked = considering |
| Skip if email opened | Opener saw you; nagging via WA = unsub trigger |
| WA interactive | High-engagement; quick-replies cut friction |
| Wait 48h | Last legit window |
| Final email + 15% off | Higher discount, last chance, end gracefully |
Customizable bits
- Discount amount per step
- Wait times
- Channel order (default WA before SMS; reverse if SMS preferred)
- Exit on purchase (default yes — don't keep nagging after order)
- Re-enrolment policy (default: new cart = new flow)
Post-purchase — what you actually get
A 4-6 step flow timed to the natural cadence after first order:
Step-by-step rationale
| Step | Why this timing/content |
|---|---|
| Wait 1h | Customer expects order confirmation immediately |
| Thank you + receipt | Builds trust, sets expectations |
| Skip 'first?' check for repeat customers | Don't infantilize them |
| 7-day check-in | Order should have arrived; ask how it was |
| 14-day review request | Product had time to be used |
| Loyalty incentive | Reward for review; seeds 2nd order |
| 21-day cross-sell | Out of post-purchase honeymoon; gentle next-product |
Real merchant scenarios
Scenario A — Cart recovery on a $400 AOV brand
Setup. $4M brand, AOV $90. Activates default cart-recovery flow.
60-day result:
- Carts abandoned in window: 1,840
- Recovered: 252 (13.7%)
- Revenue recovered: $22,680
- WhatsApp step contribution: 41% of recoveries
- Avg discount cost (10/15% blend): $14 per recovery
- Net incremental revenue: ~$19K (after discount cost)
Scenario B — Furniture brand customizes flow for high AOV
Setup. Furniture brand, AOV $1,400, longer consideration cycle. Default flow's "30 min wait then push" was too aggressive.
Customization:
- Wait 24h instead of 30 min (matches their consideration cycle)
- Email: "Still thinking about [product]?" + design service offer (no discount)
- Wait 72h
- WhatsApp: "Quick question — is size or color your concern?"
- Wait 7d
- Email: "Last chance — your item is still in stock"
60-day result:
- Carts abandoned: 412
- Recovered: 89 (21.6%)
- WhatsApp reply rate: 38% — became a sales conversation
- Revenue recovered: $114K
- No discount given; full margin preserved
Scenario C — Coffee subscription post-purchase drives 2nd order
Setup. Coffee subscription brand. Activated default post-purchase flow.
90-day result for 1,200 first-time buyers:
| Metric | With journey | Holdout (no journey) |
|---|---|---|
| 2nd-order rate at 60d | 34% | 19% |
| Avg 2nd-order value | $42 | $39 |
| Review submission rate | 31% | 8% |
| Subscription opt-in (unrelated path) | 18% | 11% |
Lift: 15 percentage points on 2nd-order rate × 1,200 customers × $42 = ~$7,500 incremental revenue per cohort.
Scenario D — Replenishment journey for consumables
Setup. Skincare brand, customers reorder primary product ~every 35 days. Built custom journey on top of post-purchase.
Custom trigger: predictedReplenishProductId set on
Customer 360 (from sales engine) AND lastOrderAt > 30 days
ago.
Steps:
- Email: "Running low on [their product]?" with reorder link
- Wait 4d
- SMS: "Quick reminder: your [product] is ready to reorder"
- Wait 5d
- Email: "Maybe try our new [related product]?"
60-day result:
- Customers entered: 1,840
- Reordered after step 1: 612 (33%)
- Reordered after step 3: +280 (15% of remaining)
- Reordered after step 5: +124 (8%)
- Total replenishment revenue: $108K
The brand's CEO described this as "the journey that pays the team's salaries."
Scenario E — Brand catches review-request abuse risk
Setup. Default post-purchase asks for review at day 14. Brand notices: customers who haven't received their order yet (slow shipping) are getting review requests — bad reviews result.
Fix: Added condition: "Skip review-request step if
order's fulfilled_at < 7 days ago."
Result: Bad-review rate from review-request flow dropped from ~6% to <1%. Genuine reviews replace performance-anxious ones.
Best practices
✅ Activate both flows on day 1 of platform setup. They're the highest-ROI single-click activations.
✅ Customize discount amounts, not necessarily timing. The defaults are timing-tuned; discount levels depend on your margin.
✅ Watch the exit-reason mix. Cart-recovery exiting via
fatigue or unsub means it's too aggressive — tune.
✅ Use holdouts after 30 days to measure incremental lift. Otherwise you can't tell what the journey actually did vs. what would have happened anyway.
❌ Don't run cart recovery on flash-sale customers. They were already going to abandon at 50% rate; pinging them is fatigue with no recovery upside.
❌ Don't let the post-purchase flow run on every order. Skip for repeat customers (default does this); they don't need first-order onboarding again.
❌ Don't keep "last-chance" discounts indefinitely. End the flow gracefully; don't grind on customers who've moved on.
❌ Don't ask for reviews before order arrives. Common mistake; results in rage reviews.
Plan tiers
| Capability | Free | Starter | Pro | Agency | Enterprise |
|---|---|---|---|---|---|
| Built-in cart-recovery flow | ✓ (limited) | ✓ | ✓ | ✓ | ✓ |
| Built-in post-purchase flow | ✓ (limited) | ✓ | ✓ | ✓ | ✓ |
| Multi-channel (WA + email + SMS) | — | ✓ | ✓ | ✓ | ✓ |
| Customize defaults | — | ✓ | ✓ | ✓ | ✓ |
| Custom flow variants | — | — | ✓ | ✓ | ✓ |
| Per-segment flow targeting | — | — | ✓ | ✓ | ✓ |
| Holdout incrementality | — | — | — | ✓ | ✓ |
| Multi-store flow library | — | — | — | ✓ | ✓ |
See also
- Communications overview
- Sales engine journeys — these flows are built on the journey primitive
- Sales engine experiments + holdouts — measure flow lift formally
- WhatsApp engine — the channel that drives most cart recovery
- Email channel