Having trouble segmenting your trial users effectively?
(Day 39/90 LinkedIn Challenge)
Discover advanced strategies to get it right: 🧵
1/ Behavioral segmentation: treating all trial users the same
Problem: Generic messaging doesn’t address specific user actions or needs.
Fix: Segment users based on actions like feature usage, time spent in the app, or pages visited.
2/ Intent-based segmentation: ignoring user goals
Problem: Trial users have different objectives, but your approach is one-size-fits-all.
Fix: Segment users based on stated goals (e.g., personal use vs. team implementation) gathered during sign-up or onboarding.
3/ Firmographic segmentation: skipping company-level data
Problem: B2B trial users receive irrelevant communication because company details aren’t considered.
Fix: Segment users by company size, industry, or revenue to tailor messaging and outreach.
4/ Lifecycle stage segmentation: neglecting progress tracking
Problem: All users receive the same outreach regardless of their trial phase.
Fix: Divide users into onboarding, mid-trial, and pre-conversion stages, delivering targeted content at each stage.
5/ Engagement-based segmentation: ignoring user activity levels
Problem: Inactive users churn without additional effort to re-engage them.
Fix: Segment users into active, semi-active, and inactive categories, and set up campaigns to re-engage or upsell them.
6/ Feature-specific segmentation: overlooking feature adoption
Problem: Users with different feature preferences are treated alike.
Fix: Segment users by features they’ve used or shown interest in and send relevant tips or success stories.
7/ Geographic segmentation: assuming global users have similar needs
Problem: Messaging doesn’t account for regional differences in language, time zones, or preferences.
Fix: Segment users by location and customize communication based on regional nuances.
8/ Role-based segmentation: ignoring team dynamics
Problem: Communication doesn’t address different roles (e.g., decision-makers vs. end-users).
Fix: Segment users into roles (admin, manager, team member) and tailor feature highlights and CTAs accordingly.
9/ Time-to-value: failing to address speed of adoption
Problem: Quick adopters and slower users are treated the same, missing out on conversion opportunities.
Fix: Segment users based on how quickly they experience initial value and adjust messaging to fast-track slower users.
10/ Persona segmentation: missing deeper user insights
Problem: Messaging is too broad and fails to resonate with specific personas.
Fix: Use demographic, behavioral, and psychographic data to build detailed personas and segment users accordingly.
P.S. Struggling with trial-to-paid conversions? I’ll audit your current approach for free!