Use case - lifecycle marketing
Get cohorts your lifecycle emails can actually use
Campaigns miss the people who'd actually respond, annoy the people who've already moved past the trigger behavior, and marketing spends more time wrangling CSV exports than writing copy.
In short
We build behavioral cohorts in Amplitude, based on what a user actually did in the product, and sync them to your lifecycle email or messaging tool so campaigns target real behavior instead of a stale CSV export. The cohort updates itself as behavior changes, so the send list is never a snapshot from three weeks ago.
The situation
Your lifecycle emails go to a list someone exported from the product database last month, and half of it no longer describes what those users actually do.
What we implement
We build cohorts directly from behavioral event data in Amplitude and sync them into your email or messaging platform - what's called behavioral cohort syncing - so the audience updates automatically as user behavior changes, instead of being a one-time export.
What you get
- Lifecycle campaigns that target current behavior, not a snapshot from weeks ago
- Fewer irrelevant sends to users who've already moved past the trigger
- Marketing time spent on messaging instead of manually rebuilding lists
Illustrative
A team sending a single generic 'come back' email to anyone inactive for thirty days might find, once cohorted by the specific feature they dropped off from, that a targeted message to each group outperforms the one-size-fits-all send - not because the copy improved, but because the audience got more precise. (Illustrative scenario - not a measured result.)
Related: Cohort analysis, defined · Braze + Segment + Amplitude stack · Amplitude integrations guide
Frequently asked questions
Which email or messaging tools does this work with?+
Any platform with an API or a supported native integration for receiving audience updates - the specific connector depends on your stack, and it's one of the items we confirm during the scoping call before the implementation sprint starts.
How often do the cohorts update?+
That's configurable - some teams sync near-real-time for time-sensitive triggers like cart abandonment, others sync daily for slower-moving lifecycle stages. The right cadence depends on how quickly the underlying behavior actually changes.
Other use cases
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