Dynamic Pricing for Identity Verification: Cut Costs & Maximize ROI

Identity verification is a critical component of modern online businesses, but it often comes with a significant cost. Traditional, fixed-price identity verification models can be inefficient, overcharging for low-risk transactions and potentially undervaluing the protection needed for high-risk ones. Dynamic pricing for identity verification offers a smarter approach, adjusting costs based on real-time risk assessment, ultimately leading to significant identity verification cost optimization and a higher identity verification ROI. This post explores the benefits of dynamic pricing, how it works, and how it can revolutionize your approach to online trust and safety.

Key Takeaway 1: Dynamic pricing for identity verification aligns costs with actual risk, reducing overall expenses compared to fixed-price models.

Key Takeaway 2: By leveraging fraud risk scoring, businesses can optimize conversion rates by selectively applying more stringent (and costly) verification steps only when necessary.

Key Takeaway 3: A dynamic pricing model allows for better budget allocation, focusing resources on protecting high-value transactions and vulnerable user segments.

Key Takeaway 4: Integrating dynamic pricing with a comprehensive identity platform like Didit enables effortless implementation and granular control over verification workflows.

The Limitations of Fixed-Price Identity Verification

For years, the dominant model for identity verification has been a flat fee per check. While simple to understand, this approach has inherent drawbacks. Every verification request – whether it's a returning customer making a small purchase or a new user from a high-risk region attempting a large transaction – is treated the same. This leads to several inefficiencies:

• Overspending on Low-Risk Transactions: Paying the same price for verifying a trusted customer as a potential fraudster is a waste of resources.
• Potential for Increased Fraud: Businesses may shy away from more robust, and expensive, verification methods for all users to maintain conversion rates, leaving them vulnerable to fraud.
• Lack of Granular Control: Fixed pricing doesn’t allow for tailored risk-based verification strategies.
• Missed Opportunities for Optimization: No ability to adjust pricing based on changing fraud patterns or geographical risk profiles.

How Dynamic Pricing Works: A Risk-Based Approach

Dynamic pricing in identity verification moves away from a one-size-fits-all approach. Instead, it leverages fraud risk scoring to determine the appropriate level of verification needed, and consequently, the cost. Here’s how it works:

1. Risk Assessment: A comprehensive risk engine analyzes various factors, including IP address, device information, geolocation, email reputation, behavioral biometrics, and transaction amount.
2. Risk Scoring: Based on this analysis, each transaction is assigned a risk score, ranging from low to high.
3. Dynamic Pricing Application: Different verification steps or modules are applied based on the risk score. Low-risk transactions might only require passive liveness detection, while high-risk transactions could involve document verification, active liveness, and AML screening.
4. Cost Adjustment: The cost of verification is adjusted accordingly. Lower-risk transactions have a lower cost, while higher-risk transactions have a higher cost.

This means you only pay for the level of assurance you need, when you need it. For example, a returning customer using a trusted device and IP address might only incur a $0.03 cost for a simple passive liveness check, while a new user from a high-risk country attempting a large purchase might require a full KYC flow costing $0.50 or more.

Benefits of Implementing Dynamic Pricing

The advantages of adopting a dynamic pricing model for identity verification are significant:

• Reduced Costs: By optimizing verification spend based on risk, businesses can significantly reduce overall identity verification costs.
• Improved Conversion Rates: Avoiding unnecessary friction for low-risk users improves the user experience and boosts conversion rates.
• Enhanced Fraud Prevention: Applying more rigorous verification steps to high-risk transactions strengthens fraud defenses.
• Better Resource Allocation: Focus resources on protecting the transactions and users that pose the greatest risk.
• Increased ROI: Maximize the return on your identity verification investment by aligning costs with actual risk and preventing costly fraud losses.

Didit’s Dynamic Pricing Model & Workflow Orchestration

Didit offers a fully-fledged dynamic pricing model integrated with its powerful workflow orchestration capabilities. Our platform allows you to build custom verification flows triggered by risk scores. Here's how it works with Didit:

• Modular Architecture: Didit’s 18+ composable modules allow you to select and sequence the verification steps needed for each risk level.
• Workflow Builder: Our visual no-code workflow builder lets you create complex verification flows with conditional logic, automated decision-making, and retry mechanisms.
• Risk Score Integration: Integrate Didit’s risk engine or connect to your existing risk scoring system to trigger different workflows.
• Pay-Per-Success Pricing: You only pay for the verification steps that are actually executed.

With Didit, you can create a workflow that automatically applies passive liveness to low-risk users, full KYC to medium-risk users, and enhanced due diligence (EDD) to high-risk users. This ensures that you're spending the right amount on verification for each transaction, maximizing your identity verification ROI.

Ready to Get Started?

Don't overspend on identity verification. Embrace dynamic pricing and unlock significant cost savings while strengthening your fraud defenses.

• Explore the Didit Business Console
• View Didit's Pricing
• Request a Demo
• Calculate Your Potential ROI

FAQ

What is the difference between risk-based and dynamic pricing for identity verification?

While often used interchangeably, risk-based pricing is the underlying principle, while dynamic pricing is the implementation. Risk-based pricing determines that price should change based on risk, while dynamic pricing is the system that makes the price change in real-time.

How does dynamic pricing impact the user experience?

When implemented correctly, dynamic pricing should be seamless for the user. Low-risk users experience minimal friction, while high-risk users may be asked for additional information, but this is justified by the need for enhanced security. A good platform like Didit optimizes for conversion even while increasing security.

Is dynamic pricing suitable for all businesses?

Dynamic pricing is particularly beneficial for businesses with varying levels of fraud risk, such as e-commerce, fintech, gaming, and marketplaces. Any business that processes a large volume of transactions and experiences fluctuating risk profiles can benefit from this approach.

How can I measure the success of a dynamic pricing implementation?

Key metrics to track include overall identity verification costs, fraud rates, conversion rates, and the number of manual reviews. A successful implementation will result in lower costs, reduced fraud, and maintained or improved conversion rates.