INSURANCE & DISTRIBUTION

Broker Network & Commission Model Study

Map how insurance brokers evaluate, compare, and choose carrier partnerships based on commission structures, product fit, and support quality, so you can fix channel acquisition gaps, benchmark payout positioning, and sharpen retention across your broker tiers.

Pan-India sample
Insurance brokers (Licensed Distribution Principals)
15-20 min
Talk to a Survey Consultant
Commission friction & drop-offsIdentify where brokers disengage, switch carriers, or reduce active book placement.
Payout structure & tier benchmarksBenchmark commission thresholds, override triggers, and incentive models across carrier tiers.
TRUSTED BY LEADING BRANDS
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CONTEXT & RELEVANCE

Why run this survey now

Most insurers and distributors don't lose broker volume purely on commission rates. They lose it due to misaligned tier structures, opaque payout timelines, weak product training support, poor claims escalation access, and inconsistent renewal incentives, none of which fully show up in broker MIS reports or policy issuance dashboards.

If you are...

  • Insurer vs bancassurance channel conflict
  • Broker network head, retention focus
  • Distribution or channel strategy lead
  • Product and pricing committee member
  • Regional sales or growth head

You're likely facing...

  • Broker churn: tier vs payout mismatch
  • Commission model: flat vs performance split
  • Drop-offs: onboarding to active production
  • Brokers = volume/low-loyalty perception
  • Renewal push gaps: incentive vs service

This will help answer...

  • Commission structure preference by segment
  • Broker activation drop-off stage
  • Tier model vs flat rate preference
  • Payout frequency and transparency gaps
  • Renewal incentive vs switching triggers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete broker network journey from onboarding to commission settlement.

TENETS 01

Network Discovery

  • Broker recruitment channels used
  • First-contact touchpoints, referral sources
TENETS 02

Empanelment Friction

  • Documentation burden, approval timelines
  • Drop-offs during onboarding stages
TENETS 03

Commission Structure

  • Base rate, slab, and trail models
  • Payout frequency, settlement accuracy
TENETS 04

Incentive Alignment

  • Contest mechanics, target-setting fairness
  • Non-monetary rewards, recognition programs
TENETS 05

Product Preference

  • Line-of-business prioritisation by broker
  • Product gaps limiting placement decisions
TENETS 06

Insurer Support

  • Relationship manager responsiveness, escalation speed
  • Digital self-service tools, portal reliability
TENETS 07

Claims & Retention

  • Claim turnaround impact on renewal rates
  • Broker role in claims advocacy
TENETS 08

Network Loyalty

  • Primary insurer concentration, multi-empanelment spread
  • Switching triggers, lock-in factors

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?
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Target audience
Who should we survey?
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Region
Which regions should we cover?
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Segments
How should we slice the data?
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Discuss sample plan

METHODOLOGY

Survey approach

For the Broker Network and Commission Model Study, we recommend a quant-first design with flexible data-collection modes to balance reach, depth, and verification across broker tiers and commission structures.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Ranking commission model preferences by broker tier
2
Mapping network coverage gaps by region
3
Benchmarking payout satisfaction across product lines
Deliverables
Commission driver ranking
Broker tier matrix
Payout satisfaction index
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Independent brokers with low digital engagement
2
Rapid coverage across dispersed regional networks
Deliverables
Regional broker coverage
Call-log diagnostics
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
High-volume brokers requiring in-depth commission negotiation context
2
Clusters where informal referral networks drive placement decisions
Deliverables
Cluster network maps
Broker relationship profiles
OPTIONAL
FGDs
Deliverables
Themes and verbatims
Incentive model 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, supported by CATI to capture independent and low-digital brokers across dispersed regional networks.
Consider adding: F2F interviews for high-volume broker clusters and an FGD layer to pressure-test revised commission structures before rollout.

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
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$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 insurance distribution and broker channel space.

CASELET 1

Broker tier segmentation & commission sensitivity mapping (India)

CASELET 2

Intermediary onboarding friction & insurer preference study (West India)

Broker tier segmentation & commission sensitivity mapping (India)

OBJECTIVE

A mid-size general insurer needed to identify how Tier 1 corporate brokers , regional retail brokers , and direct agents differ in their product prioritisation decisions and how commission structure shapes their line-of-business recommendations to end clients.

WHAT WE DID

Ran a structured quant survey across 240 licensed brokers in 6 cities, capturing product portfolio mix , commission threshold triggers , insurer shortlisting criteria , and the specific conditions under which brokers switch primary insurer relationships.

DELIVERED

A broker tier segmentation framework , a commission sensitivity corridor by product line, a ranked list of insurer switching triggers , and a set of channel retention levers mapped to each broker segment.
CASELET 1

Broker tier segmentation & commission sensitivity mapping (India)

CASELET 2

Intermediary onboarding friction & insurer preference study (West India)

Broker tier segmentation & commission sensitivity mapping (India)

OBJECTIVE

A mid-size general insurer needed to identify how Tier 1 corporate brokers , regional retail brokers , and direct agents differ in their product prioritisation decisions and how commission structure shapes their line-of-business recommendations to end clients.

WHAT WE DID

Ran a structured quant survey across 240 licensed brokers in 6 cities, capturing product portfolio mix , commission threshold triggers , insurer shortlisting criteria , and the specific conditions under which brokers switch primary insurer relationships.

DELIVERED

A broker tier segmentation framework , a commission sensitivity corridor by product line, a ranked list of insurer switching triggers , and a set of channel retention levers mapped to each broker segment.

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 captive brokers, independent brokers and wholesale brokers?

How will you measure broker placement preference beyond simple ratings?

Will the survey map the full broker engagement journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our broker recruitment and retention performance?

Still have questions?

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

Book a Discovery Call