Renewal risk is visible, but the policyholders who need a telematics explanation are not.
Retention needs better targeting while a predictive signal must not influence pricing or customer contact without evidence.
Who you’d be doing this for
“I opened the renewal quote, saw the number, and started looking at cheaper coverage.”
Malgorzata Pokorny · Personal Auto Policyholder
She is approaching renewal after a telematics-influenced premium change and is considering reducing coverage.
What is at stake
Renewal analysis links telematics-driven premium changes to higher lapse among price-sensitive policyholders. You must weigh a useful retention signal against the risk of acting on an unproven prediction.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- retention lift vs. unwanted outreach
- personalized ranking vs. sparse labels
- speed to learning vs. model validity
- telematics clarity vs. pricing separation
Why Root Insurance
Root Insurance uses smartphone telematics in personal auto pricing and faces retention pressure among policyholders questioning driving-data effects.
Written with these in mind
Not your kind of problem? 9 more at Root Insurance, or browse every organization.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.