Summary
These users started, but didn’t stick. This play identifies trial accounts with partial activation but low engagement, giving you a framework to reignite interest and steer them toward conversion.
Why is works
Targets accounts not totally cold, but drifting
Uses real-time data from Accoil to prioritize and personalize
Balances high-touch and automated paths based on account value
Goal
(1) For the reader
Re-engage low-engagement trial users who’ve shown early product interest.
(2) For the company
Boosts trial conversion while keeping outreach efficient and focused.
Accoil signal
(1) Primary signal
Trial account
Low Engagement score
Activation Rate is low.
(2) Additional insights
Company size or value tier
Identified user actions vs. skipped steps
No activity in the last few days
Action steps
Filter for:
Trial Accounts
Low Engagement Score
Slow Activation Progress
Enrich with company size or account type if needed
Split by Value
Use connections to send insights to the tools your team uses
High-value: assign to sales or success team
Mid/low: feed into reactivation campaign
Personalize Based on Progress
Reference what they have done
Highlight the next best step
Offer examples of quick wins or fast paths
Avoid Overload
Suppress messaging for accounts likely to convert without help
Monitor drop-offs from too much touch
Measure and Adapt
Track next action taken
Use step-level activation data to tune next round
Supporting metrics
Metrics | How to measure in Accoil |
Reactivation Rate | % of this segment taking an action post-outreach |
Trial Conversion Rate | % converting to paid from reactivation segment |
Engagement Score Recovery | Score improvement within 3–5 days post-touch |
Step Progression | % completing next activation milestone after outreach |