The cart abandonment playbook
Sequence matters: diagnose first, fix the causes second, automate recovery third. Most stores run this backwards — a discount email papering over a checkout problem.
Cart abandonment sits around seventy percent for most stores, but the useful number is yours, segmented. This playbook walks the sequence that actually reduces it: instrument the checkout so the drop is attributable, remove the causes in order of measured impact, and only then build the recovery flow — which by that point recovers people who hesitated, rather than people you actively drove away.
Stage 1: Make the drop attributable
You cannot fix an average. Verify checkout-step events fire correctly, then segment abandonment by device, traffic source, cart value, and step. The pattern tells you which problem you have: a mobile-only cliff points at layout or speed; a drop at shipping points at cost surprise; a drop at payment points at trust or method gaps.
Validate begin_checkout, add_shipping_info, add_payment_info, and purchase events
Segment the funnel by device × source × cart value
Record session evidence for the highest-loss step before changing anything
Write down the baseline — every later claim of improvement depends on it
Stage 2: Remove the causes, biggest first
Typical culprits in rough order of frequency: shipping cost revealed late, forced account creation, slow or unstable checkout on mobile, missing payment methods for the market, and trust gaps on unfamiliar stores. Fix in order of measured loss, one change at a time where volume allows, so the effect stays attributable.
Stage 3: Automate recovery for what remains
With causes removed, recovery email addresses genuine hesitation. Time the first touch from your own recovery curve, write variants by segment — first-time buyers get reassurance, returning customers get convenience — and hold incentives back until the data shows a segment needs them. Then re-measure against the Stage 1 baseline.
How it works
Instrument and baseline
Checkout events validated, funnel segmented, baseline recorded. This is a day of work that makes every later day honest.
Fix causes in impact order
Ship the fixes for the top losses one at a time, measuring each against the baseline.
Build recovery, then tune
Segment-specific sequences with data-derived timing, incentives only where proven, revised on a schedule.
What you get
A checkout whose losses are attributed, not averaged
Causes removed in order of measured impact
Recovery flows that convert hesitation instead of subsidising decided buyers
A baseline that proves what worked
Handled by these agents
Works with
Frequently asked questions
What is a normal abandonment rate?
Industry averages hover around seventy percent but vary hugely by category, traffic mix, and price point. Your segmented trend is the only benchmark that guides action.
Why not start with the email flow? It is the easy win.
Because a recovery email cannot out-convert a broken checkout, and its "wins" will mask the underlying leak. Diagnosis first costs a day and makes everything after it work better.
How long does the full playbook take?
Instrumentation in days, cause-fixing over two to six weeks depending on what surfaces, recovery flow in the week after. Run manually it is a quarter of focused attention; the agents run it as their standing loop.
Which agents run this?
Analyst owns Stage 1 and the measurement throughout; Builder ships the Stage 2 fixes; Retention owns Stage 3. The shared memory keeps the baseline and findings consistent across all three.
Keep reading
Abandoned cart recovery
Recover the orders that got to checkout and stopped, with timing built from your own buying cycle.
Build an abandoned browse flow
Recover interest that never reached the cart — with intent thresholds that keep it welcome.
Improve mobile conversion
Close the mobile gap: thumb-reach reality, speed on real devices, and checkout friction.
Increase average order value
Raise AOV with co-purchase data, threshold design, and offers that do not train discounting.
Put the team to work on your store
Connect your storefront, analytics, and email stack, set a goal, and let the agents run the work end to end. Start on the free plan with your own model key.