Activation

Tripled activation rate by rebuilding the onboarding sequence around product behavior.

The product had two compounding activation milestones: connect a store, then import products. Both were leaking. Rebuilt the post-signup sequence around event data instead of time, and the funnel held.

Headline
11% → 33%
Client
DTC SaaS · ~$50M ARR
Window
3 months
Category
Activation
Store connection rate11% → 33%3x
Product import rate15% → 35%2.3x
Onboarding logicTime-based → Event-based
Downstream impactCompounding lift on paid conversion + retention

01 What was leaking

The state going in.

  • 01Store connection rate was 11%. Most signups never reached the first activation milestone.
  • 02Product import rate was 15%. Of the users who did connect a store, the majority stalled before importing products.
  • 03Onboarding sequence was time-based, not behavior-based. Users got the same emails on the same schedule whether they had taken the action or not.
  • 04No event-triggered winbacks for users who signed up but stalled at either milestone.
  • 05Users who connected a store but didn't import products got nothing specifically targeting that gap.

02 What I shipped

The work, end to end.

01

Event-triggered onboarding

Rebuilt the post-signup sequence around product event data instead of time elapsed. Users who connected a store moved into one path. Users who hadn't connected after 24, 48, and 72 hours moved into a different path with sequencing specific to the connection action.

02

Connection winback flow

Multi-touch sequence for users stalled at the connection step. First touches addressed common technical blockers. Later touches surfaced the value of completing connection with proof points from active users. The flow exited automatically the moment a connection event fired.

03

Import winback flow

Separate sequence for users who connected a store but didn't import products. Different prospect state than a non-connector, different sequence. Targeted the specific behaviors that correlated with successful import.

04

Behavior segmentation across the funnel

Made sure every downstream campaign knew which activation state a user was in. A user mid-onboarding got different campaign treatment than a fully activated user or a churned user. The lifecycle system finally had visibility into where each user actually was.

03 Results

Bottom line.

  • Store connection rate: 11% → 33% (3x activation lift).
  • Product import rate: 15% → 35% (2.3x lift).
  • Compounding effect on downstream paid conversion and retention.
  • Activation funnel moved from leaks at every step to measured and improving.

If your trial-to-paid conversion is leaking at activation and your onboarding sends on a calendar, not on behavior, this is the kind of build I run.

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