What if every quote on your platform
started with better data
Your insurer partners are pricing on what the customer provides. But customer-supplied data has gaps, inconsistencies, and sometimes deliberate misrepresentation. The result is inaccurate quotes, declined submissions, and friction that damages the relationships you depend on.
Every quote that fails to bind is a cost to your platform and your partners.
What if you could enrich every application before it reached your insurers? What if the data behind every quote were verified, complete, and backed by real-time behavioural intelligence?
Your platform fights on two fronts
Delivering Accurate Quotes
Accuracy is everything. When customers see quotes that don't reflect reality, they lose trust in the platform. When insurers receive submissions with incomplete or incorrect data, they decline them or reprice after bind.
Most comparison platforms pass through what the customer provides without enrichment. That means your insurer partners are pricing on unverified data - and the inaccuracy flows downstream into every quote, every conversion metric, and every partner relationship.
The question isn't whether your data has gaps. It's whether you're doing anything about them before submission.
Data Gaps & EnrichmentProtecting Insurer Partnerships
Your insurer partners trust you to send them clean, accurate submissions. When misrepresentation or application manipulation makes it through your platform undetected, it erodes that trust.
Fraud and manipulation at the point of entry aren't just insurer problems. They're platform problems. Every fraudulent application that reaches a panel insurer damages your reputation and your commercial relationships.
Detecting anomalies before submission isn't optional anymore. It's what separates platforms that retain partners from those that lose them.
Quote ManipulationWhat if enrichment happened before
the quote reached your insurers
When a customer searches your platform through the Percayso Intelligence Hub, something different happens. The application data is enriched, verified, and scored before it reaches your insurer panel - so every quote starts from a stronger, cleaner foundation.
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1
Quote Intelligence checks the shopping journey
Every search on your platform is matched against tens of millions of quotes a month in the Quote Lake. Has this customer been quoting elsewhere? Have they changed details between searches? Are there behavioural patterns that suggest high intent, price sensitivity, or manipulation?
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2
Vehicle and application data are verified in real time
VRM lookups confirm vehicle specifications instantly. Customer-provided details are cross-referenced and enriched - filling gaps before submission. Your insurers receive verified data, not raw customer input, reducing declined quotes and post-bind adjustments.
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3
Anomalies are flagged before they reach the panel
Policy history cross-referencing and behavioural scoring identify misrepresentation at the point of entry. Applications with manipulation signals are flagged or filtered before they reach your insurer partners - keeping your submission pipeline clean and your relationships strong.
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4
Your insurers get better data, your customers get better quotes
Enriched, verified submissions lead to more accurate pricing from your panel. Fewer declines, fewer mid-journey dropouts, better conversion. The virtuous cycle starts with data quality at the point of search - and every participant benefits.
Tens of millions of quotes a month in the Quote Lake. Behavioural signals surfaced per application.
Different roles, same objective:
a platform that delivers accuracy and trust
Every role on a comparison platform is working toward the same goal - better data, better quotes, stronger partnerships. Here's how the Intelligence Hub serves each.
Head of Data & Analytics
The PainCustomer-supplied data is unreliable. Gaps, inconsistencies, and inaccuracies flow through to insurer submissions unchecked. Your data team spends time cleaning up downstream rather than improving the pipeline at source.
What ChangesReal-time enrichment fills gaps and verifies data at point of search. Behavioural attributes and intelligence from our clients' quotes give your analytics team signals they've never had before - turning raw customer input into verified, enriched submissions.
"Clean data in, better quotes out - enrichment at source changes everything downstream."
Head of Insurance Partnerships
The PainInsurer partners push back on data quality. Declined submissions and post-bind adjustments strain relationships. You're caught between customer experience and partner expectations, with limited ability to influence the data quality in between.
What ChangesEnriched, verified submissions mean fewer declines and more accurate pricing from your panel. Fraud signals are caught before reaching insurers. Your partnership conversations shift from data quality complaints to growth strategy.
"Stronger submissions build stronger partnerships - data quality is the foundation."
Product Manager
The PainConversion rates plateau because quote accuracy is limited by input data quality. Customer drop-off happens mid-journey when quotes don't match expectations. Improving the experience requires better data, but your product team can't control what customers enter.
What ChangesReal-time enrichment means customers see more accurate quotes from the start. Behavioural intelligence identifies high-intent shoppers and price-sensitive segments - letting you optimise placement, journey design, and conversion strategy with data you didn't have before.
"Better data means better quotes - and better quotes mean better conversion."
Head of Fraud & Compliance
The PainManipulation and misrepresentation are difficult to detect at scale. Fraudulent applications pass through to insurer panels, creating risk for partners and regulatory exposure for the platform. Most detection happens after the damage is done.
What ChangesQuote Intelligence detects manipulation at point of entry - cross-referencing policy history, flagging application anomalies, and scoring behavioural risk in real time. Your submission pipeline stays clean, your partners stay protected, and your compliance position strengthens.
"Detect misrepresentation at entry - not after the claim, not after the complaint."
Your enrichment rules. Your logic.
Deployed without waiting for dev cycles.
Most enrichment platforms give you data back and leave you to interpret it. With Percayso Inform Manager (PIM), your data and product teams author the rules, set the thresholds, and deploy changes in real time - without IT dependency.
What PIM Does
PIM is a low/no-code decision engine that sits on top of your enrichment. It transforms raw data into decisions - enrich, flag, filter, score - based on logic your team creates and controls.
- Real-time rule authoring via PIM Studio (web portal)
- Build and deploy enrichment logic without development cycles
- Champion/challenger testing on live quote streams
- Data quality rules that catch gaps before submission
- Version control with instant rollback
- Your rules run in the Percayso PIM, or in your own Private PIM
Why This Matters
With most providers, changes to enrichment logic require hard-coded development work. Slow, expensive, inflexible.
With PIM, your data team can deploy a new enrichment rule at 9am and measure its impact on quote accuracy by lunchtime. No IT queue. No release cycle. No waiting.
This is where agility meets data quality. Your team gets the tools to act on intelligence in real time - testing, iterating, and improving the submission pipeline without being blocked by development capacity.
One integration. Every intelligence layer.
The Intelligence Hub delivers all of these through a single gateway connection. Each product works independently, but they work harder together - because each one feeds intelligence into the others.
Shopping behaviour across our clients' quotes. Detect manipulation. Surface quote frequency and application anomalies in real time.
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Enrich and verify customer-provided data from multiple sources through a single integration point.
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Instant VRM lookups and verified vehicle specifications. Accurate data from search to bind.
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Public bureau data at point of quote. Multi-bureau searches and private bureau data are planned.
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Your rules engine. Author, test, and deploy enrichment logic in real time - no IT dependency.
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A one-off analysis of your own data against the Quote Lake. Results 8 to 12 weeks after receipt of the required data.
Learn moreSee richer data in action, before any commitment
Evaluate analyses your own data against the Quote Lake. Results 8 to 12 weeks after receipt of the required data. No long-term commitment.
