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February 21, 2025

How to Improve IDV Success Rates and Reduce Onboarding Drop-Offs

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Identity verification failures are one of the biggest barriers to seamless customer onboarding. Businesses lose potential customers when users struggle to pass verification due to outdated, inaccurate, or overly rigid identity verification systems. A single failed attempt can lead to frustration, increased support costs, and ultimately, abandoned sign-ups.

The problem is that most IDV providers rely on a one-size-fits-all approach, offering a fixed set of verification tools that may not work well for every customer or scenario. Different industries, regions, and risk levels require different methods, yet businesses are often locked into a single provider with no flexibility to test or optimize their process.

Veratad changes this by orchestrating multiple IDV providers into a single, unified platform. Instead of being limited to a single tool, businesses can integrate, test, and optimize various verification solutions—document authentication, biometrics, knowledge-based authentication, data verification, and more—all within a single workflow. This flexibility ensures that businesses can maximize verification success rates while minimizing onboarding friction.

A Multi-Provider Approach to IDV

One of the most common reasons for failed identity verification is mismatched verification methods. Some customers may struggle with document verification due to poor camera quality, while others may prefer biometric authentication. Different geographic regions have different government ID formats, and some fraud detection methods work better for specific demographics.

Veratad eliminates these challenges by allowing businesses to:

  • Access multiple IDV solutions instead of relying on a single provider
  • Automatically route customers through the most effective verification method based on risk, location, or past failures
  • Improve first-attempt pass rates by dynamically adjusting verification flows based on real-time results

With this approach, businesses don’t just implement identity verification—they continuously refine it for better results.

A/B Testing for Better Verification Performance

Many businesses using traditional IDV solutions lack visibility into why verification failures happen. They may see high drop-off rates but have no way to pinpoint whether the problem lies in document verification accuracy, biometric match rates, or KBA failure rates.

Veratad enables businesses to run A/B tests across different verification methods to find the most effective solution for their specific customer base. For example:

  • Compare the success rate of one provider’s document verification against another’s biometric authentication
  • Test multiple fraud detection tools to determine which best reduces false positives
  • Identify whether shorter or longer verification steps result in better completion rates

This data-driven approach allows businesses to make informed decisions, improving verification success rates while reducing drop-offs caused by unnecessary verification failures.

Optimizing IDV With Continuous Monitoring and Adjustments

Unlike static IDV solutions, Veratad provides continuous monitoring and optimization to ensure businesses maintain high success rates. Our platform enables businesses to:

  • Analyze real-time verification data to detect performance trends
  • Automatically adjust verification methods based on user behavior and regional compliance requirements
  • Reduce customer support burdens by minimizing verification failures and false positives

By taking an adaptive approach to IDV, businesses can keep fraud prevention strong while making the verification process as seamless as possible for legitimate customers.

Higher IDV Success Rates, Fewer Drop-Offs, and Stronger Fraud Prevention

By orchestrating multiple verification providers, enabling real-time A/B testing, and continuously refining verification workflows, businesses achieve:

  • Higher IDV success rates – More users pass verification on their first attempt
  • Reduced onboarding drop-offs – Customers complete the process without unnecessary friction
  • Stronger fraud prevention – Multi-layered verification detects more fraudulent activity without blocking real users

Instead of being locked into a single IDV provider with inconsistent results, businesses using Veratad adapt their verification process to real-world performance data, ensuring the highest possible success rates with the least friction.

How Veratad Works

Veratad provides businesses with a modular, flexible IDV orchestration platform that integrates multiple verification solutions through a single API. Businesses can choose from a wide range of verification methods, including:

  • Identity Data Verification – Cross-checks customer data against trusted global sources
  • Document Verification – Uses AI and human review to verify government-issued IDs
  • Biometric Authentication – Face and fingerprint recognition for additional security
  • Knowledge-Based Authentication (KBA) – Challenge questions for extra verification layers
  • Reusable Digital Identity – Enables users to verify once and reuse their identity seamlessly

Businesses have full control over how verification flows are structured, allowing them to:

  • Route users dynamically based on risk level and verification success rates
  • Customize approval rules to match internal risk policies
  • Continuously monitor and optimize performance with detailed reporting tools

A Smarter, More Effective IDV Strategy

Traditional identity verification solutions force businesses into rigid workflows that often lead to unnecessary drop-offs and lost revenue. Veratad offers a more flexible, adaptive approach, enabling businesses to:

  • Use the most effective IDV methods for their audience
  • Test and optimize verification workflows continuously
  • Reduce drop-offs while maintaining strict fraud prevention measures

For businesses that need to improve IDV success rates while keeping fraud detection strong, Veratad delivers a scalable, customizable, and results-driven solution.

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