This template helps you develop loyalty-based personas using interviews from both loyal and churned users. Upload your conversations and receive segmented user groups based on attitudes, behavior, and feedback signals — not just role or industry.
Why loyalty personas beat surface-level ICPs
The best segments aren’t based on titles — they’re based on how people think, feel, and stay (or leave).
This template builds personas that actually reflect behavior — using the voice of the customer.
Definition: Loyalty personas are behavior-based customer profiles segmented by retention signals, risk triggers, and relationship patterns — built from qualitative interviews.
How does this template work?
Step 1: Upload Loyal + Churned User Interviews
Use NPS, exit, or account management conversations
Accepts audio, video, or text
Aim for 6–10 users in each group for contrast
Step 2: Segment Based on Loyalty Behaviors
AI analyzes tone, motivation, trust language, and usage clues
Clusters users by belief system, friction type, and value recognition
Tags themes like risk aversion, expectation mismatch, stickiness
Step 3: Output — Loyalty Persona Set
Persona cards with core traits, signals, motivators, and quotes
Side-by-side view of loyal vs churn-prone
Downloadable for CX, marketing, and product strategy
What benefits does this template provide?
Benefit
Description
Impact
True Behavior Segments
Group users by mindset, not just industry
Sharper messaging + retention
Renewal Prediction
Know which personas are more likely to stay or leave
Improve targeting + outreach
Playbook Personalization
Tailor CS or onboarding flows by segment
Better activation + support
Strategic Differentiation
Focus product on what drives loyalty
Smarter innovation
How do different teams use this template?
CX Strategists — Align loyalty work to real personas PMMs — Refine ICPs and buyer segmentation Customer Marketing — Personalize advocacy and reactivation programs Product Teams — Design for what loyal users actually value
Frequently Asked Questions
Is this for B2B or B2C?
Both. It adapts to behavior and context — not vertical.
Do I get quotes per persona?
Yes — each persona includes representative voice-of-customer language.
Can I merge this with usage data?
You can. It works great alongside behavioral data for persona scoring.
What Teams Are Saying
“We now build retention strategies by persona, not by assumption. Insight7 helped us shift from static to behavior-driven.”
— Tobi Oluwole, Co-founder, 3skillz
Want to know which users stay — and which quietly disappear?