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Repeat purchase

Turn the first order into the next one

Use product and order context to create a useful follow-up cadence, then adapt it as the customer browses, engages or buys again.

Order signalProduct purchasedCadence starts from actual behavior
LearnExpected use window
CheckRecent activity
ActReplenishment message
GoalNext order

Follow up where customers already are

EmailMobile pushSMSWhatsAppMetaInstagramFacebookGoogle AdsYouTubeTikTokSnapchatPinterestX
The RTN approach

Build cadence from what was purchased

Start with order context, check subsequent behavior and send only when the next purchase is plausible.

The problem

Generic follow-ups lose product context

A fixed post-purchase calendar cannot reflect different usage cycles or a customer who already returned.

Second and third orders

Journeys that build the habit

Each follow-up is driven by what the customer bought and what they did next.

Replenish

Running low reminders

Time a reminder around how long the product usually lasts.

Cross-sell

Complete the set

Suggest products that pair with the first purchase.

Loyalty

Second-order nudge

Give first-time buyers a reason to come back while the brand is fresh.

Intent

Browse follow-up

React when an existing customer returns to look at something new.

Cadence logic

Learn, check, act and stop

Make every timing assumption explicit and let new events update the next decision.

Order contextExpected windowRecent behaviorNext order goal

FAQ

Questions, answered

Can timing vary by product?

Yes. Product, order and later engagement signals can shape when a replenishment or next-purchase journey becomes relevant.

Can recent purchasers be suppressed?

Yes. A new order can update eligibility and stop messages that no longer match the customer’s current state.

Turn first-time buyers into regulars

See repeat-purchase journeys built from your own product and order history.

In your walkthrough
  • Your segments, built live
  • Journeys across every channel
  • Audiences synced to your ad accounts
  • How incremental results are reported