Motor Insurance Renewal Behaviour Survey
Map how private vehicle owners evaluate premium increases, compare insurer options, and choose renewal channels, so you can sharpen retention pricing, fix channel conversion gaps, and benchmark your policy against switching triggers.
CONTEXT & RELEVANCE
Why run this survey now
Most motor insurers don't lose renewals purely on premium price. They lose them due to poor renewal timing, misread risk profiles, weak agent engagement, low perceived claim trust, and channel friction, none of which fully show up in policy management systems or loss ratio reports.
If you are...
- Insurer vs aggregator competition
- Direct channel retention lead
- Motor product pricing head
- Distribution and agency head
- Renewal portfolio strategy team
You're likely facing...
- Renewal lapse: price vs trust gap
- Aggregator vs direct channel conflict
- Drop-offs: reminder to payment stage
- Insurers = reliable/slow perception
- Add-on uptake vs premium sensitivity
This will help answer...
- Renewal decision drivers by segment
- Lapse stage and trigger point
- Channel preference by vehicle type
- Premium sensitivity vs coverage trade-off
- Switching intent and retention levers
RESEARCH THEMES
What This Survey Investigates
Eight interconnected research themes that map the complete motor insurance renewal journey from policy expiry awareness to confirmed reinstatement.
Renewal Triggers
- Expiry notice channels, timing
- Claim history as renewal prompt
Insurer Preference
- Incumbent loyalty vs. switcher intent
- Brand trust, claim settlement reputation
Coverage Decisions
- Add-on selection, zero depreciation uptake
- Comprehensive vs. third-party trade-offs
Renewal Friction
- Drop-off points, documentation barriers
- Inspection delays, KYC re-submission
Pricing Sensitivity
- Premium tolerance, NCB utilisation
- Discount expectations, price-switch threshold
Channel & Servicing
- Agent-assisted vs. self-service renewal
- App usage, aggregator portal reliance
Claim Experience
- Past claim satisfaction, settlement speed
- Garage network adequacy, surveyor turnaround
Lapse & Win-back
- Policy lapse reasons, break-in reinstatement
- Win-back offer receptivity, re-engagement timing
SAMPLING STRATEGY
Tell us about your ideal sample
Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.
METHODOLOGY
Survey approach
For the Motor Insurance Renewal Behaviour Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification.
EXECUTION PROCESS
How we execute
A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.
Define the decision frame
Confirm objectives, target cohorts, geographies, and reporting cuts
Define the decision frame
Design the instrument
Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)
Design the instrument
Lock the questionnaire
Review wording, sequencing, LOI, and competitive context; approve final version
Lock the questionnaire
Pilot and calibrate
Test comprehension and ease quality; refine quotas and remove friction where needed
Pilot and calibrate
Run fieldwork
Execute collection with active quota management and feasibility controls
Run fieldwork
Assure quality
Dedupe, attention checks, speed/consistency rules, removals with audit trail
Assure quality
Prepare the dataset
Clean data and deliver codebook/variable definitions
Prepare the dataset
Analyse and synthesise
Driver ranking, leakage diagnostics, pricing bands, segment insights
Analyse and synthesise
Deliver and align
Executive deck (optional dashboard) and leadership readout with recommendations
Deliver and align
COMMERCIAL TERMS
Request a Commercial Proposal
Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.
Select Sample Size
Geography
Select Mode of Survey
Length of the Interview
$0.00
+ applicable taxes
Cost Breakdown
Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.
REFERENCE CASELETS
Reference
Real-world examples of survey work in the motor insurance research space.
Add-on cover preference & pricing sensitivity among private car owners (India)
OBJECTIVE
WHAT WE DID
DELIVERED
Add-on cover preference & pricing sensitivity among private car owners (India)
Channel trust & agent influence on two-wheeler policy renewals (South India)
Add-on cover preference & pricing sensitivity among private car owners (India)
OBJECTIVE
A mid-size general insurer needed to map how first-time buyers and multi-year policyholders evaluate add-on covers , rank them against premium cost, and decide which optional benefits justify an upgrade at renewal.
WHAT WE DID
Ran a structured quant survey across 6 cities with 480 respondents, capturing add-on shortlisting criteria , willingness-to-pay thresholds , perceived value by cover type , and the role of insurer reputation versus price in the final selection.
DELIVERED
A pricing corridor by add-on category, a segment preference map separating first-time buyers from experienced policyholders, and a ranked value-perception framework identifying which cover attributes drive upgrade decisions at each premium band.
FREQUENTLY ASKED QUESTIONS
Common Questions
Answers to frequently asked questions about this survey mandate.
What decisions will this survey enable?
Who is the buyer vs who are the respondents?
Can we see differences between own-damage-only, third-party-only and comprehensive cover holders?
How will you measure renewal channel preference beyond simple ratings?
Will the survey map the full motor insurance renewal journey and drop-offs?
Can this survey inform product and pricing strategy?
How will findings improve our renewal retention and cross-sell conversion rates?
Still have questions?
Schedule a discovery call to discuss your specific needs and get a custom quote.