What if your next customer is already shopping
and you just can't see them yet?

Name: Prospect Intelligence
Brand: Percayso Inform

Customer acquisition is expensive and uncertain. Most marketing campaigns target broad demographics and hope for the best. But right now, people are actively requesting insurance quotes who are not yet your customers. They have known demographics, known coverage requirements, and known intent. The only problem is that nobody is showing them to you.

Prospect Intelligence identifies these in-market shoppers directly from the quote stream and delivers them as a scored, segmented prospect list your acquisition team can act on immediately.

What Prospect Intelligence Is

Prospect Intelligence cross-references the quote stream against your Single Customer View to identify a new audience: people who are actively requesting insurance quotes but who do not currently hold a policy with you.

These are not cold leads. They are verified, active shoppers with known demographics, quote history, and line-of-business interest. Prospect Intelligence scores and segments them, delivering qualified prospect lists that your marketing and acquisition teams can act on immediately.

Why It Matters

Customer acquisition is expensive and uncertain. Most marketing campaigns target broad demographics and hope for the best. Prospect Intelligence inverts this: instead of finding people who might want insurance, it finds people who are already looking for it.

For brokers and MGAs, this is a step change: a data-driven acquisition channel that complements your existing panels. You know they are shopping, you know what they want, and you can reach them at the moment of highest intent.

Qualified prospects from real market behaviour

Prospect Intelligence is built on the same quote ingestion pipeline that powers Quote Intelligence. Rather than modelled audiences or purchased lists, every prospect is identified from actual shopping behaviour in the live quote stream.

2.8x

conversion rate uplift
vs untargeted lists

40%

lower cost
per acquired policy

85%+

risk profile accuracy
at point of conversion

signal types
driving identification

Four Signal Types

Active shoppers: Consumers with 2+ PCW quotes in the last 30 days. They are in-market now.

Renewal approachers: Customers whose current policy is approaching renewal, identified via policy event data.

Competitor leavers: Customers who lapsed with a competitor insurer in the last 90 days.

Affinity triggers: Life events linked to new insurance need: new vehicle, house move, new driver added.

Audience Segmentation

Prospects are segmented into audiences for targeting: by risk segment (young driver, multi-car, high-value home), by shopping stage (first look, active comparison, decision-ready), and by channel affinity (PCW-dominant vs. direct preference).

You define the audiences you want to target. Prospect Intelligence returns a matched, scored prospect list that meets your criteria and fits your underwriting appetite.

From unknown shoppers to qualified pipeline

Prospect Intelligence replaces broad acquisition targeting with precision prospecting. You approach people who are currently shopping for the product you sell, at the moment of highest intent.

Behavioural Signal Extraction

Prospect Intelligence operates on the same quote event stream as Quote Intelligence, but analyses patterns rather than individual records. Shopping frequency, PCW platform selection, cover level preferences, and price acceptance thresholds are extracted from aggregate behaviour and used to construct prospect propensity models for each risk segment.

Each prospect is scored using match confidence, shopping frequency, and coverage profile to prioritise those most likely to convert and most aligned with your target risk.

Privacy by Design

All Prospect Intelligence outputs are privacy-by-design. Individual-level prospect data is delivered only to clients with appropriate data agreements in place.

Prospect lists are derived from consented data sources, pseudonymised at delivery, and subject to strict data retention limits. PIL maintains full ICO registration and GDPR compliance documentation for all Prospect Intelligence use cases.

This is not surveillance. It is structured, compliant intelligence derived from data that already exists in the quote stream.

From quote stream to qualified prospect list

Prospect Intelligence processes the live quote stream continuously, matching shopping behaviour against your customer base and delivering scored, segmented prospect lists your team can act on.

1 Client defines target audience: risk segment, shopping stage, geographic scope
2 Quote stream scanned for matching in-market signals (active shoppers, renewal approachers, competitor leavers, life events)
3 Prospect risk profile constructed from quote event attributes
4 Price sensitivity and channel affinity scores calculated
5 Conversion propensity score: likelihood of converting within 30 days
6 Audience match run against client target criteria
7 PIM rules execute: suppression of existing customers, compliance checks
8 Scored prospect list delivered via secure SFTP or API, with campaign match-back tracking

Prospect Intelligence delivers a continuously refreshed prospect list built entirely from real market behaviour, replacing media-bought lists or modelled audiences with people who are demonstrably in the market for the product you sell.

"The difference between Prospect Intelligence and every other lead source we have used is that these people are verifiably shopping right now. The conversion rates speak for themselves."

Head of Acquisition, Leading UK Broker

How Prospect Intelligence works for your business

Prospect Intelligence turns the quote stream into a qualified acquisition pipeline, identifying people who are actively in-market for the product you sell.

For Insurers

Replace broad acquisition targeting with precision prospecting. Rather than marketing to a segment defined by demographics or past behaviour, you approach people who are currently shopping for the exact line of business you offer, with timing, coverage needs, and contact details already validated.

Solutions for Insurers

For Brokers

Build a pipeline of verified, in-market leads that match your product range and target client profile. Because each prospect has been active in the quote stream, conversion rates are significantly higher than traditional lead sources, and the data quality supports compliance with marketing consent requirements.

Solutions for Brokers

For MGAs

An evidence-based foundation for new business targeting. Prospects can be filtered by line of business, geography, and coverage level, ensuring that your acquisition activity is focused on the risks that fit your underwriting appetite and scheme criteria.

Solutions for MGAs

For Comparison Sites

Identify users who began a quote journey on a competitor platform and understand cross-channel behaviour of prospects in your target segments. This supports both organic traffic strategy and the commercial case for carrier partnerships in underserved risk categories.

Solutions for Comparison Sites

How many in-market shoppers are you missing right now?

Start with an Evaluate. We will show you how many people are actively shopping for the products you sell who are not yet in your book, and what it would take to reach them.

What's In Your Book? Schedule a Conversation

What if your next customer is already shoppingand you just can't see them yet?