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Ecommerce

It takes years to earn a loyal customer and one wrong decline to lose them. Pipl Trust strengthens confidence in every shopper.

Fraud costs more than chargebacks

Approve the wrong order or decline the right one, and the cost lands long after checkout.

 

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Silent churn

A false decline gets logged as fraud stopped while the customer quietly shops elsewhere.

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Promo leakage

Welcome offers meant for new customers end up funding duplicate accounts.

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Dispute exposure

Fraudulent orders that ship come back as chargebacks after the goods and margin are gone.

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Review queues

Every held order costs analyst time and risks a sale that won’t wait.

Real shopper or fraud?

Real customers can look risky, and fraud can look routine.
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First-time buyers

Honest first orders get mistaken for fraud without purchase history.

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Freight forwarding

Forwarding addresses can mean overseas purchases or criminal networks moving stolen goods.

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Account takeover

Password and profile changes can come from account owners or fraudsters.

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Promotional abuse

One person can open multiple accounts and collect the discount on each.

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AI shopping agent

Purchases made by legitimate agents can be mistaken for bot attacks.

Their past, your decision

You see one order. Pipl sees it against 20+ years of identity data.
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Email and phone age

A newly created email stands out from one used for a decade.

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Connections over time

An email or phone in use for a decade says more than one created yesterday.

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Built into your stack

Scores and reasons feed your existing fraud system; your team makes the call.

Sell more.
Lose less.

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Protect lifetime value

Retain the customers your acquisition budget already paid for.

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Keep more margin

Catch fraud and promo abuse before they reach your bottom line.

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Lower review costs

Fewer orders need a second look.

5B

5 billion unique identities

1T

1 trillion diverse signals

2B

2 billion daily signal updates

Fewer holds, more fraud caught

Growth brought this global apparel retailer rising fraud and a backlog of held orders. Turning away good shoppers to fight it wasn’t an option. With Pipl Trust, the retailer could approve more orders without letting more fraud through.

Results:

  • 50% of orders auto-approved 
  • 15x lower fraud rate than average
  • 66% of fraud caught by a single reject rule