hero

Stronger Leads
Faster Conversions
Lower Spend

Pinpoint helps insurance teams score and prioritize leads, so they can convert more and spend smarter.

Overview

Pinpoint helps you get more from your marketing spend by scoring every lead as it comes in. It looks at how similar leads have performed in the past to predict which ones are worth pursuing, which to avoid, and where your budget will have the most impact — all within your existing workflow

Pinpoint's actuarial loss predictions will enable us to orchestrate the best experiences for agents and our customers, reducing friction and creating the ability to micro-segment leads like never before.


Key Marketing Benefits


arrow

Spend Where It Pays

Stop funding leads that won't be profitable.

bookmark

Know Where to Focus, Instantly

Reach the right leads at the right time.

workflow

Help Your Team Move Faster with Less Guesswork

Save time and reduce acquisition friction.

Have a question these models don't answer?

Pinpoint builds custom models for any two-outcome event, validated within 24 hours before anything goes live.

Case Studies


Results in Market

Personal auto · 714,577 policies

3.6 pts loss ratio, year one
$218M over three years

Redirecting acquisition spend with pre-quote Loss Predictions

Personal auto · 714,577 policies

3.0 pts loss ratio, year one
$454M over three years

Severity predictions applied across a 715k-policy book

Personal auto · 130,000 claimants

+6% claimants identified
2.9x top-to-bottom spread

Attorney representation flagged at first notice of loss

Homeowners · ~300,000 policies

3.2 pts loss ratio, year one
$67M over three years

Frequency predictions at the top of the funnel

Homeowners · ~150,000 policies

3.9 pts loss ratio, year one
$35M over three years

Non-weather water risk priced before the application

Personal auto · 80,000 policies

4.6 pts loss ratio, year one
$19M over three years

Holding loss ratio while the book contracted 7%

Homeowners · 200,000 policies

7.0 pts loss ratio, year one
$335M over three years

Book roll reshaped by pre-bind Loss Predictions

Frequently Asked Questions About Marketing

What types of problems does Pinpoint help insurance carriers solve?

Pinpoint empowers carriers to make smarter, faster, and more accurate decisions across marketing, underwriting, ratemaking, claims, and more. Our predictive models plug into existing workflows (API or batch) to prioritize high-value acquisition, sharpen pricing and filed rating, improve bind quality, and triage claims early so costs don’t compound, customized to each carrier’s specific experience and outcomes. 

How quickly can Pinpoint’s solutions be deployed?

Most solutions deploy in under a week. They integrate seamlessly with any core system or backend process. With a few clicks, our automated platform deploys new models via configurable APIs, turning hypotheses into real-world results with minimal IT disruption. 

Do I need large amounts of historical data to get started?

No. Pinpoint’s solutions don’t always require historical outcomes or conversion data. Pinpoint’s lead profitability model is available for scoring, without training on any of your prior loss experience, shortening the window and minimizing the amount of work it takes to realize value in production. Conversion Likelihood and Mail Response Likelihood are custom models tuned to your existing outcomes, using historical first-party data.

How does Pinpoint improve marketing ROI?

By prioritizing leads based on profitability, conversion potential, and mail response likelihood, Pinpoint’s marketing analytics solutions allow carriers to focus only on high-value leads. This eliminates wasted spend and sunken costs on low-yield campaigns and ensures marketing budgets are allocated where they’ll have the biggest impact and likelihood to have positive ROI.

What types of marketing analytics models are available in the Pinpoint product suite?

Pinpoint offers three core models for insurance marketing analytics: lead profitability, which identifies and prioritizes profitable leads before quoting. mail response likelihood, which targets individuals most likely to respond to direct mail. conversion likelihood, which predicts which leads are most likely to convert from quote to bind.

Fast-Track
Profitable Growth


Data Science That Delivers Business Impact

Purpose-built AI for insurers, uniting actuarial expertise and data science to drive smarter, fairer, and more profitable decisions.