Growth & Marketing
ForMotiv reads purchase intent and risk from how each shopper moves through your quote, before they finish it. Give motivated buyers a faster path to bind, win back the ones about to leave, and stop paying for data on sessions that were never going to buy.
Before the quoteintent read while the shopper is still in the flow
Intent and riskread together, so growth never costs underwriting
Every channeldirect, agents, chat and call
Intent simulator
Switch behaviors on and off for one sample shopper. The read moves, the intervention changes, and so does what you spend on third-party data for that session. Real models use hundreds of features; this shows the idea, not the math.
Intent behaviors move the read up or down. Risk behaviors change what you should do, whatever the intent.
Purchase intent
Why the read moved
Third-party data for this session
See how purchase intent reads on your own quote traffic.
Get an intent assessmentIntent and risk, together
Growth vendors see intent. Fraud vendors see risk. ForMotiv lives where user experience meets underwriting, so a high-intent shopper with risky behavior gets a different path from one you want to fast-track.
↑ Purchase intent
Map your shoppers by intent and risk, and decide what each group should get.
Build your shopper playbookThird-party data orchestration
Most quote flows buy prefill, insurance scores, CLUE and MVR for every session that gets far enough. ForMotiv lets you run them early for motivated buyers, defer them for window shoppers, and suppress them entirely for bots.
How much of your data spend goes to bots and window shoppers? Find out with a behavioral expert.
Get a data-cost reviewDrop-off rescue
Drop-off reports tell you where people left, after they’re gone. ForMotiv tells you which shoppers are worth saving while they’re still on the page, so you can nudge them to convert in the moment instead of chasing them with an email later.
Stalls looking for a VIN or trim, then heads for the exit.
Offer prefill on the spot, so a genuine shopper never leaves to go find it.
Toggles between packages and can’t settle on one.
Recommend a package right there, or open chat with the answer already loaded.
Pauses on the price, then moves toward the tabs.
Surface the discount they qualify for, or a click-to-call, before they leave the page.
Speak with a behavioral expert about our Intervention Playbook.
Talk to an expertLead routing & monetization
Some shoppers should bind with you online. Some convert better with a licensed rep. Some are a better fit for another carrier, and a click-listing partner will pay for them. Route each one while they’re still engaged.
From paid search, comparison sites, partners and your own site, each read for intent, risk and channel preference in session.
Channel preference prediction and call deflection are covered in depth on the Call channel page →
Design routing for your channels and partners around real intent, not guesswork.
Plan your lead routingFor your own models
ForMotiv makes hundreds of underlying behavioral features available. A DataPack is the set of those features most predictive for a given model, so you can add it to any internal model you run (conversion, pricing, retention, lifetime value) by real-time API or batch.
Prefill and vehicle data
Credit-based insurance tier
Prior carrier and tenure
Quoted premium
Behavioral feature #1
Behavioral feature #2
Behavioral feature #3
Behavioral feature #4
The most predictive of hundreds, picked for your model
The same model, with behavior it never had: earlier, sharper reads on the shoppers you already pay to acquire.
How DataPacks work →Ask how a Conversion DataPack could sharpen the model you already run.
Talk to our data science teamKeep going
Direct digitalEvery use case across your own quote flow, quote to claim.Channel page → CallRoute high-intent shoppers to reps and deflect routine servicing.Channel page → Agentic AIAI shopping agents requoting every week, and what to do about them.Platform page → Enterprise IntentSee high-intent households across products and channels.Platform page →
FAQ
How does ForMotiv help insurance growth and marketing teams?
ForMotiv reads purchase intent and risk from how each shopper moves through a quote, so growth teams can fast-track motivated buyers, nudge high-intent shoppers before they leave, route leads to the right channel and stop paying for data on bots and window shoppers.
What is purchase intent prediction?
Purchase intent prediction estimates how likely a shopper is to buy, based on their behavior in the current session, while they are still in the quote.
How does ForMotiv reduce third-party data costs?
By reading intent and risk early in the session, carriers can delay or skip costly data calls for bots, scrapers and very low-intent shoppers, and run them for the shoppers most likely to bind.
What is drop-off rescue?
Drop-off rescue means identifying high-intent shoppers who are about to leave a quote and nudging them to convert in the moment, for example with prefill help, a recommended package or a click-to-call.
Can ForMotiv improve a carrier's own conversion model?
Yes. ForMotiv makes hundreds of behavioral features available, and a DataPack of the most predictive ones can be added to any internal model, including conversion, pricing, retention and lifetime value.
Bring one journey and one goal. We’ll show you the behavioral signals behind it, the decisions they can drive, and how ForMotiv fits into your stack.
Leakage, fraud, conversion or agent oversight, on the line and channel you care about most.
A walkthrough of the signals, features and scores for journeys like yours.
Where the tag goes, what the API returns and which systems act on it.
