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Underwriting & Markets
17 min readApril 7, 2026

The Broker's Guide to Alternative Data Risk Scoring

Alternative data risk scoring uses satellite imagery, IoT sensors, telematics, and wearable data to evaluate insurance risks that traditional loss runs miss. This guide explains how each data type affects carrier scoring, what brokers must disclose to clients, and how to use alternative data to improve placement decisions.

JS
Javier Sanz

Founder & CEO

Alternative data risk scoring evaluates insurance accounts using data sources that did not exist in standard underwriting a decade ago. Satellite imagery assesses roof condition without a physical inspection. IoT water sensors predict property damage before it accumulates. Telematics devices capture actual driving behavior instead of relying on demographic proxies. The alternative data market for insurance reached $4.2 billion in 2026, up from $1.8 billion in 2023, according to McKinsey Global Insurance Report 2025. Alternative data risk scoring does not replace traditional underwriting. It fills the gaps where loss runs and paper applications provide incomplete or outdated pictures of actual risk.

Key Takeaways

  • Alternative data sources now influence 34% of commercial property underwriting decisions at top-20 P&C carriers, up from 18% in 2023 (Verisk 2025 carrier survey)
  • Telematics-based fleet scoring produces 22% more accurate loss predictions than traditional fleet underwriting methods based on demographics and loss history alone (Cambridge Mobile Telematics 2025)
  • IoT water leak detection sensors reduce commercial property water damage claims by 45% to 65%, which directly improves risk scores at carriers including Zurich, FM Global, and Travelers (FM Global 2025 Loss Prevention Data)
  • The NAIC Innovation and Technology Task Force issued 2025 guidance requiring carriers to disclose alternative data sources used in underwriting decisions, creating a new transparency obligation
  • Social media scoring remains limited and legally contested: fewer than 12% of carriers formally incorporate social media signals, and Colorado, California, and New York prohibit its use as a rating factor (NAIC 2025 data)
  • Brokers who proactively provide alternative data with submissions receive quotes an average of 3 days faster and achieve a 26% higher preferred-carrier placement rate, based on Zywave 2025 broker benchmarking data

What Alternative Data Risk Scoring Covers

Traditional underwriting relies on four data types: loss runs, completed applications, credit scores, and physical inspections. Each has significant limitations. Loss runs only reflect past events. Applications rely on self-reporting. Credit scores are a financial proxy for risk management quality. Physical inspections happen once and age immediately.

Alternative data fills these gaps in real time.

The major categories of alternative data now active in insurance underwriting are telematics (driving and vehicle behavior), smart home and commercial IoT sensor data (water, smoke, temperature, motion), satellite and aerial imagery (property condition), wearable device data (health and activity for life and health lines), and public records aggregation (court records, regulatory filings, social signals). Each category differs in maturity, carrier adoption rate, regulatory status, and what brokers need to disclose to clients.

Telematics: Driving Behavior Replaces Demographic Proxies

Telematics scoring collects real-time driving behavior data from OBD-II devices, mobile apps, or factory-installed vehicle systems. The data replaces or supplements traditional rating variables like age, gender, and zip code with actual behavioral measures.

The core telematics variables carriers score are: speed (miles per hour above speed limit), hard braking events (deceleration above a threshold, typically 8 mph/second), hard acceleration events, cornering force, hours of driving (time-of-day risk, late-night driving), and route risk scores (highway miles versus urban miles with intersection density).

Progressive's Snapshot program, launched in 2012 and now covering over 30 million policyholders, remains the largest personal auto telematics program in the US. Progressive 2025 10-K data shows that telematics-rated policies produce loss ratios 8 to 12 percentage points lower than traditionally rated policies with similar demographic profiles. That improvement in loss ratio is the reason 73% of top-20 personal auto carriers now offer telematics programs, according to LexisNexis 2025 Insurance Demand Meter data.

For commercial fleet, the impact is even more pronounced. Cambridge Mobile Telematics 2025 research found that fleets actively monitored with telematics produce 22% more accurate loss predictions than fleets rated on traditional variables alone. Carriers including Travelers, Sentry, and Great West now offer preferred pricing programs specifically for telematics-equipped fleets with top-quartile safety scores.

What brokers should do with telematics data. For fleet clients facing non-renewal or large rate increases, requiring telematics device installation and providing a 90-day behavioral scoring summary with the submission shifts the underwriting conversation from adverse loss history to demonstrable current behavior. A fleet with a difficult loss history but top-quartile telematics scores can reach preferred carriers that would otherwise decline on loss runs alone.

What to disclose to clients. Clients must understand that telematics data is continuous and that scoring can change during the policy period. A driver who performs well during the initial 30-day telematics evaluation but reverts to aggressive driving after the evaluation period may face rate adjustments at renewal. Clients who participate in telematics programs should know exactly what is measured, how it affects their score, and what the carrier does with the raw driving data.

Smart Home and Commercial IoT Sensor Data

IoT sensor data represents the fastest-growing category of alternative data in property insurance. Sensors monitor building systems in real time and generate continuous risk signals that traditional annual inspections cannot capture.

The most established IoT data inputs in property underwriting are:

Water leak detection. Systems including Roost, Water Hero, and Phyn detect leaks at the point of origin and send alerts within 60 seconds. FM Global 2025 Loss Prevention Data shows that properties with IoT water monitoring experience 45% to 65% fewer water damage claims and 73% lower average claim severity when leaks occur. Carriers including FM Global, Zurich, and Travelers offer pricing credits of 5% to 15% for verified IoT water monitoring installation.

Smart HVAC and temperature monitoring. Buildings with monitored HVAC systems that alert to temperature extremes before pipe freeze events occur produce significantly fewer winter freeze claims. HVAC monitoring data from properties in cold-weather markets shows a 38% reduction in freeze-related claims when continuous monitoring is active, according to Zurich 2025 Loss Prevention Bulletin.

Fire and smoke detection. IoT smoke and heat detection beyond standard sprinkler systems provides earlier detection and faster suppression activation. Some FM Global policyholder agreements now incorporate smart fire detection data as part of risk assessment rather than treating it as a binary installed/not-installed factor.

Motion and occupancy sensors for commercial property. Vacancy is one of the highest-risk factors in commercial property underwriting. Properties that monitor occupancy in real time allow carriers to adjust risk assessment dynamically rather than relying on occupancy representations in the application that may not reflect actual conditions.

What brokers should do with IoT data. Recommend IoT sensor installation to commercial property clients facing water damage loss history, preferred carrier declinations, or significant rate increases. Document the installation with vendor confirmation, monitoring service enrollment, and six months of sensor performance data (events detected and resolved) before using it in a submission. The combination of installation documentation and performance history is more compelling than installation alone.

What to disclose to clients. IoT monitoring agreements often include data sharing provisions between the sensor vendor and participating carriers. Clients should review these agreements before installation. Some monitoring contracts grant carriers access to real-time sensor data, not just summary reports. Brokers should confirm whether the carrier receives raw sensor feeds or only scored summaries, and disclose this to clients before enrollment.

Satellite and Aerial Imagery Scoring

Satellite and aerial imagery scoring evaluates physical property condition using machine learning analysis of high-resolution imagery updated on regular cycles. Cape Analytics and Arturo are the two dominant providers servicing the US property insurance market.

The scoring evaluates: roof condition (material type, age indicators, ponding, debris, visible damage), property maintenance (parking lot condition, landscaping, exterior paint and cladding), structural modifications (additions, outbuildings, equipment), surrounding hazard exposure (tree canopy proximity to structures, adjacent property conditions), and catastrophe exposure (coastal proximity, wildfire interface zone).

The impact on underwriting is significant. Travelers and Hartford both incorporated satellite scoring into commercial property underwriting in 2023. By 2025, satellite condition scores influence placement decisions on accounts with property values above $1 million at both carriers, according to S&P Global 2025 carrier survey data.

For accounts where traditional inspection would have triggered automatic declination due to building age, satellite scoring that shows well-maintained roofs and property condition can distinguish good risks from poor risks within the same vintage cohort. A 1975-vintage building with a new roof, documented maintenance, and clean satellite scores reaches different carriers than an identical-age building showing ponding, debris, and deteriorated cladding.

What brokers should do with satellite data. Access Cape Analytics or Arturo scoring for high-value property submissions before submitting to carriers. If satellite scores are strong, include a satellite condition report in the submission package. If satellite scores are weak, address the specific deficiencies in the submission narrative and document recent repairs. Carriers that pull satellite data independently will see the same information. Getting ahead of weak scores is better than being surprised by a declination.

What to disclose to clients. Clients should know that carriers may pull satellite imagery of their property without notice during underwriting or renewal. If a client has made significant property improvements, document those improvements with dated photographs and contractor invoices. Satellite imagery updates on 6 to 18 month cycles depending on the provider and geography, so recent improvements may not yet appear in carrier-pulled scores.

Wearable and Health Device Data for Life and Health Insurance

Wearable device data (step counts, heart rate, sleep patterns, activity levels) is the most actively developing alternative data category in life and health insurance. It is also the most regulated and the most contentious from a consumer rights perspective.

John Hancock's Vitality program, the most established wearable-integrated life product in the US market, links Apple Watch activity data to life insurance premiums. Policyholders who meet weekly activity targets earn premium discounts of up to 25%. John Hancock 2025 program data shows that Vitality participants produce mortality rates 18% lower than non-participating policyholders with identical underwritten health profiles, which is the actuarial basis for the premium discount.

Disability insurance carriers including Unum and Sun Life are piloting wearable integration for long-term disability pricing. Activity data predicts return-to-work outcomes more accurately than diagnosis codes alone. Carriers report that policyholders with consistent activity data before a disability claim return to work 24% faster than policyholders without activity baselines.

The regulatory picture for wearables is unsettled. The ADA, GINA, and HIPAA all constrain how health-related data can be used in insurance underwriting. Employer-sponsored life and health plans face stricter constraints than individual lines. NAIC 2025 data shows that 22 states are actively reviewing whether wearable-based pricing constitutes unfair discrimination under state insurance codes.

What brokers should do with wearable data. For individual life and disability clients open to engagement, voluntary wearable programs like John Hancock Vitality represent a direct premium reduction opportunity worth 15% to 25% annually. Present these programs as optional tools for healthy clients who want to convert their health behaviors into pricing advantages. Never pressure clients into wearable programs or present them as requirements.

What to disclose to clients. Clients participating in wearable programs must understand that their activity data is transmitted to the carrier continuously. They should receive written disclosure of exactly what data is collected, how it is used in pricing, how long it is retained, and what happens to their premium if they stop participating. Some programs impose rate penalties if a policyholder opts out after the first year. These terms must be disclosed before enrollment.

Social media data is the most controversial category of alternative data in insurance underwriting. The theoretical case for social media scoring is that publicly posted content can reveal risk-relevant behaviors: photos of dangerous hobbies, self-reported health conditions, business activity inconsistent with the application, or lifestyle patterns that correlate with claims.

The practical use is far more limited. NAIC 2025 data shows that fewer than 12% of carriers formally incorporate social media signals in underwriting decisions, and among those, use is confined to fraud investigation rather than initial pricing. Colorado, California, and New York explicitly prohibit social media data as a rating factor. Several states are considering similar prohibitions.

The legal risk for carriers using social media scoring without reliable bias controls is substantial. Social media content correlates with protected characteristics including race, religion, national origin, disability status, and familial status in ways that are difficult to isolate. Carriers that use social media scoring face disparate impact liability if their models produce outcomes that differ by protected class, even without intentional discrimination.

What brokers should do about social media scoring. Do not proactively submit social media content or profiles as part of submissions. Do not advise clients to curate their social media presence specifically for insurance purposes. If a client's coverage is denied or rated adversely and social media is cited as a contributing factor, challenge the adverse action under state regulations and refer the client to an insurance department complaint process.

What to disclose to clients. Advise clients who ask about social media and insurance that carriers may review publicly accessible content during fraud investigation but that formal social media scoring in initial pricing is rare and increasingly restricted. Clients should treat their public social media profiles as public information and apply ordinary privacy practices, not insurance-specific curation.

Regulatory Framework for Alternative Data Use

The NAIC Innovation and Technology Task Force issued guidance in 2025 requiring carriers to disclose the alternative data sources used in underwriting decisions to state regulators. This disclosure requirement creates accountability for carriers that use satellite imagery, IoT data, telematics, or external data feeds in their scoring models.

Colorado's SB 21-169, effective in 2021 and expanded in scope through 2025 rulemaking, requires carriers to demonstrate that all rating factors, including alternative data, do not produce outcomes that are unfairly discriminatory by protected class. Connecticut and New York are advancing similar legislation. California's insurance code already prohibits use of data that functions as a proxy for race, religion, national origin, or other protected characteristics.

For brokers, the regulatory framework creates three obligations.

First, understand what alternative data your recommended carriers use. The NAIC 2025 guidance means carriers in disclosure-requirement states must answer this question. Ask underwriters directly.

Second, disclose to clients when a carrier will pull alternative data about them. Clients have a right to know that satellite imagery of their building, IoT data from their sensors, or telematics data from their vehicles will be transmitted to carriers as part of underwriting.

Third, document your disclosures. If a client later disputes a scoring decision that relied on alternative data, your documented disclosure of that data use protects you from errors and omissions exposure.

How Alternative Data Affects Placement Decisions

The practical placement impact of alternative data is largest for accounts where traditional underwriting produces incorrect or incomplete risk assessments.

Accounts that benefit most from alternative data include: commercial property accounts where loss runs are minimal but satellite imagery shows excellent building condition; fleet accounts where adverse loss history from prior management is contradicted by current telematics performance; life insurance applicants whose standard health parameters are borderline but wearable data shows consistently active lifestyles; and commercial property accounts in CAT-prone geographies where IoT monitoring materially reduces loss probability.

Accounts that are hurt by alternative data include: commercial property accounts where satellite imagery reveals deferred maintenance that the loss-free history masked; fleet accounts where clean loss runs coexist with telematics data showing high-risk driving behaviors; and personal lines accounts where smart home data reveals risk conditions the application did not capture.

The placement strategy implication is straightforward. Before submitting any account to carriers that use alternative data, understand what that alternative data will show. If it supports the account, include it proactively. If it undermines the account, address the underlying conditions before submission or route to carriers that rely primarily on traditional underwriting.

FAQ

What types of telematics data do commercial auto carriers use for alternative data risk scoring?

Commercial auto carriers using telematics scoring collect speed data (miles per hour above posted limits), hard braking events (deceleration above 8 mph per second), hard acceleration events, cornering force, hours of operation by time of day, route risk scores based on urban versus highway driving patterns, and hours-of-service compliance for regulated carriers. Cambridge Mobile Telematics 2025 research shows that hard braking frequency is the single strongest predictor of future at-fault accident frequency among telematics variables. Carriers including Travelers, Sentry, and Great West now offer preferred pricing specifically for fleets with top-quartile telematics performance scores. Brokers should require 90 days of telematics data before submission on any commercial fleet account facing adverse loss history.

How do smart home and IoT sensors affect property insurance scoring?

IoT sensors provide continuous real-time risk monitoring data that replaces or supplements annual physical inspections. Water leak detection systems that detect leaks within 60 seconds and trigger automatic shutoffs reduce water damage claim frequency by 45% to 65% and average claim severity by 73%, according to FM Global 2025 Loss Prevention Data. Carriers including FM Global, Zurich, and Travelers offer documented pricing credits of 5% to 15% for verified IoT water monitoring. Temperature monitoring reduces freeze-related claims by 38% in cold-weather markets, per Zurich 2025 data. Smart fire and smoke detection data is increasingly incorporated into FM Global property risk assessments as a continuous monitoring factor rather than a binary presence check.

Can carriers use social media data as an alternative data risk scoring input?

Formal social media scoring in initial underwriting pricing is rare: fewer than 12% of carriers use it in any form, and those limit use to fraud investigation rather than initial rating, based on NAIC 2025 data. Colorado, California, and New York explicitly prohibit social media data as a personal lines rating factor. The primary legal barrier is disparate impact: social media content correlates with race, religion, national origin, and disability status in ways that create unfair discrimination liability even without intentional bias. Carriers that attempted formal social media scoring programs between 2019 and 2023 largely discontinued them after regulatory scrutiny and ADA/GINA compliance reviews.

What must brokers disclose to clients about alternative data use in underwriting?

Brokers should disclose to clients that carriers may pull satellite imagery of their property, telematics data from their vehicles, IoT sensor performance data, or external behavioral data as part of underwriting decisions. The NAIC 2025 guidance requires carriers to disclose alternative data sources to state regulators, but client-level disclosure is currently a best-practice obligation rather than a universal regulatory requirement. Brokers should document these disclosures in writing. For clients enrolling in telematics or wearable programs, disclosure must include what data is collected, how it affects pricing, how long it is retained, what happens if the client stops participating, and whether the carrier receives raw data feeds or only scored summaries.

How does wearable device data affect life and health insurance underwriting?

John Hancock Vitality, the most established wearable-integrated life insurance program in the US, links Apple Watch activity data to life insurance premiums and produces documented discounts of up to 25% for active policyholders. John Hancock 2025 program data shows Vitality participants produce mortality rates 18% lower than non-participating policyholders with identical underwritten health profiles. Disability insurers including Unum and Sun Life are piloting activity tracking to predict return-to-work timelines. The regulatory framework is unsettled: ADA, GINA, and HIPAA all constrain health data use in underwriting, and 22 states are reviewing wearable-based pricing for unfair discrimination. Brokers should present wearable programs as voluntary options for interested clients, not as underwriting requirements.

How should brokers use satellite imagery scoring to improve property placement outcomes?

Access Cape Analytics or Arturo scoring for commercial property submissions with values above $500,000 before submitting to carriers. If satellite scores are strong, include a satellite condition report in the submission package as proactive evidence of property quality. If satellite scores reflect weak roof condition or deferred maintenance, address those conditions with the client before submission, document recent repairs with dated photographs and contractor invoices, and route to carriers that rely more heavily on loss runs and physical inspections. Carriers including Travelers and Hartford now incorporate satellite scoring into commercial property underwriting decisions on accounts above $1 million in value, based on S&P Global 2025 carrier survey data. Getting ahead of satellite score findings prevents declination surprises and creates a stronger submission narrative.


Written by Javier Sanz, Founder of BrokerageAudit. Last updated April 2026.

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