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See how Pipl solutions improve risk decisioning (& more)

Request a demo with one of our fraud prevention experts to see how our comprehensive and customizable suite of data can improve approval rates and increase your revenue.

Trusted by global leading enterprises

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What to expect

The process to learn more about Pipl’s investigative, preventative, and monitoring system is simple. Start with a call, and make a positive impact on your business today.

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Get connected with one of our fraud and identity experts.

Book an introductory call to share more about your situation.

Make smarter decisions with over 20 years of Pipl data and more than 1 trillion shopper behavior signals.

Data-driven authorization decisions

Pipl Trust delivers calibrated risk scores that improve approval performance without increasing fraud exposure.

Trust solutions

Real identity intelligence in an era of fakes

Pipl Search delivers raw identity attributes and relationships into the systems your team already owns, without introducing external scoring logic.

Search solutions

Modular intelligence for smarter decisions

Pipl Elements is modular phone and email intelligence, powered by our large risk model and built on more than 20 years of identity data.

Elements solutions

Measurable results in complex environments

case-studies-social-media 
 
Global Social Media Platform

Higher precision, fewer false flags, zero friction

With millions of new signups every month, this global social platform was over-challenging good users and under-catching risky ones. Calibrated Trust Scores nearly doubled fraud recall at top precision and flagged 40% of risky registrations the native model missed.

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Global Consumer Electronics Brand

Fraud down, approvals up, trust calibrated

A mature fraud stack still wasn’t enough. Review costs were climbing, approvals had stalled, and new threats kept slipping through. In under four months with Pipl Trust, this consumer brand cut chargebacks by 3 BPS, dropped manual reviews 27%, and lifted model performance 35%.

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case-studies-travel 
 
Travel Booking Platform

Fewer false positives, better signal clarity

For this travel booking platform, fraud was hiding inside third-party processors and high-value international bookings. Pipl held a ROC-AUC of 0.87 even with messy, fragmented data, catching fraud earlier and clearing credible travelers faster.

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case-studies-retailer 
 
National Retailer

Lower chargebacks, fewer manual reviews

This retailer’s legacy rules engine couldn’t be touched without breaking downstream workflows. Pipl slotted in as a scoring layer and delivered an estimated $2.3M in chargeback reduction and 15.3% fewer manual reviews, without rewriting a single rule.

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case-studies-marketplaces 
 
Global Marketplace

More trusted users and fewer losses at scale

This marketplace was stuck choosing between strict rules and lost revenue. Pipl’s Trust Score cut chargebacks from 12% to 4%, dropped manual reviews from 9% to 3.5%, and lifted approvals 19.4 percentage points at the same fraud threshold.

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Make better risk decisions

See how Pipl helps enterprise teams sharpen fraud and risk decisions across the customer journey. Talk with us about your portfolio, or explore what sets Pipl apart.

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Why Pipl