EMBEDDED INSURANCE & FINTECH

Embedded Insurance & Fintech Partnerships Survey

Fintech product leads and partnership heads evaluate, compare, and navigate distribution models, revenue-share structures, and insurer selection criteria, so you can sharpen acquisition strategy, benchmark pricing positions, and convert partnership pipelines faster.

Multi-Market Sample
Fintech & Insurtech Teams (Partnership Decision-Makers)
15-20 min
Talk to a Survey Consultant
Partnership friction & drop-offsIdentify where fintech-insurer deals stall, break down, or convert poorly.
Revenue model & pricing trade-offsBenchmark revenue-share expectations, premium positioning, and margin thresholds across segments.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most insurers and fintechs don't lose embedded partnership deals purely on product fit. They lose them due to misaligned revenue-share structures, unclear customer ownership terms, weak claims integration, low partner API readiness, and poor co-branding governance, none of which fully show up in partnership pipeline trackers or policy issuance reports.

If you are...

  • Insurer entering fintech distribution
  • Fintech embedding insurance at checkout
  • Embedded product or proposition lead
  • Partnership or alliances revenue head
  • Strategy lead evaluating platform models

You're likely facing...

  • Partner fit confusion: insurer vs MGA
  • Drop-offs: onboarding or claims stage
  • Fintechs = fast/underwriting-light perception
  • Revenue-share tension: volume vs margin
  • Renewal friction and partner switching risk

This will help answer...

  • Partnership selection drivers beyond premium
  • Funnel drop-off by integration stage
  • Insurer vs MGA segment preference
  • Revenue-share and pricing tension points
  • Renewal triggers and switching patterns

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete embedded insurance journey from partner discovery to policyholder renewal.

TENETS 01

Discovery & Triggers

  • First partnership channel encountered
  • Trigger events driving embed adoption
TENETS 02

Partner Selection

  • Insurer vs. MGA shortlisting criteria
  • API capability as deal qualifier
TENETS 03

Product & Coverage

  • Coverage lines embedded at launch
  • Parametric vs. indemnity product fit
TENETS 04

Integration & Ops

  • API, SDK, and middleware stack
  • Policy issuance turnaround time
TENETS 05

Pricing & Revenue

  • Commission, fee, and profit-share models
  • Premium pass-through vs. risk retention
TENETS 06

Activation & Attach

  • Opt-in vs. opt-out attach rate
  • In-journey placement and consent triggers
TENETS 07

Claims & Retention

  • First notice of loss channel mix
  • Claims experience impact on renewal
TENETS 08

Scale & Roadmap

  • Geographic and segment expansion plans
  • Regulatory barriers to new corridors

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.

Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
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Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected
Discuss sample plan

METHODOLOGY

Survey approach

For the Embedded Insurance & Fintech Partnerships Survey, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across insurer, fintech, and distribution partner segments.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking embedded insurance adoption drivers by partner type.
2
Benchmarking revenue-share and API integration preferences.
3
Comparing segments by product vertical, geography, and deal stage.
Deliverables
Partnership preference ranking
Integration barrier matrix
Revenue-share benchmarks
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Regional fintech founders with low survey panel presence.
2
Quick pulse across Tier 2 and Tier 3 distribution partners.
Deliverables
Partner coverage map
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Senior insurer and fintech deal leads requiring in-depth verification.
2
High-value partnership cohorts in financial services hubs.
Deliverables
Deal-flow insights
Rich partnership maps
OPTIONAL
FGDs
Deliverables
Themes and quotes
Proposition feedback
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey as the core quant layer, targeting insurer product leads, fintech partnership managers, and distribution channel heads across key geographies.
Consider adding: CATI for regional and Tier 2 fintech operators with low panel presence, and a focused FGD layer to pressure-test partnership models and co-distribution value propositions.

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

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

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

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
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$0.00

+ applicable taxes

Proposal turnaround typically 24–48 hours

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 embedded insurance and fintech partnerships space.

CASELET 1

Embedded insurance product fit & pricing corridor (India)

CASELET 2

Fintech channel strategy & partner messaging territories (Southeast Asia)

Embedded insurance product fit & pricing corridor (India)

OBJECTIVE

A digital-first NBFC needed to quantify how salaried borrowers and self-employed micro-entrepreneurs evaluate bundled credit-linked insurance, specifically their willingness to pay , perceived value, and triggers for opt-out at the point of loan disbursement.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 6 cities, capturing premium sensitivity bands , coverage feature rankings , opt-in versus opt-out default preferences, and the specific disbursement-stage moments that drove acceptance or rejection of the bundled product.

DELIVERED

A pricing corridor by borrower segment, a ranked feature preference map separating hygiene attributes from differentiators, and a friction list identifying the 4 disbursement-stage moments most likely to trigger opt-out across both segments.
CASELET 1

Embedded insurance product fit & pricing corridor (India)

CASELET 2

Fintech channel strategy & partner messaging territories (Southeast Asia)

Embedded insurance product fit & pricing corridor (India)

OBJECTIVE

A digital-first NBFC needed to quantify how salaried borrowers and self-employed micro-entrepreneurs evaluate bundled credit-linked insurance, specifically their willingness to pay , perceived value, and triggers for opt-out at the point of loan disbursement.

WHAT WE DID

Ran a structured quant survey across 480 respondents in 6 cities, capturing premium sensitivity bands , coverage feature rankings , opt-in versus opt-out default preferences, and the specific disbursement-stage moments that drove acceptance or rejection of the bundled product.

DELIVERED

A pricing corridor by borrower segment, a ranked feature preference map separating hygiene attributes from differentiators, and a friction list identifying the 4 disbursement-stage moments most likely to trigger opt-out across both segments.

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 API-first fintechs, lending platforms and neobanks?

How will you measure partner integration preference beyond simple ratings?

Will the survey map the full partnership onboarding journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our fintech partner acquisition and conversion rate?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

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