Signifyd - 2026 Pricing, Features, Reviews & Alternatives

Signifyd’s Commerce Protection Platform instantly recognizes the ‘who’ behind every transaction, enabling merchants to streamline customer experiences and grow fearlessly.

As the foundation of the Commerce Protection Platform, the Commerce Network unites identity and intent intelligence data from thousands of global ecommerce retailers with PSP data, issuer insights, and a merchant’s own consumer data to proactively block emerging fraud trends. With 98% of online purchases made today by consumers previously seen across the Commerce Network, it makes up the world's largest network of merchants in the market.

Signifyd's Commerce Protection Platform comprises three modules for complete transparency and control and four solutions for comprehensive commerce protection.

At the module level, the Commerce Protection Platform arms merchants with a toolset that puts the power of the Commerce Network into the hands of their team. Modules included in the platform:

1) Agent Console: Dig into order details, including summaries, recommendations, and the corresponding source data to discover why Signifyd approved or denied a transaction.

2) Decision Center: Draw on insights from the Commerce Network and data specific to your business to create policies that effectively block consumer abuse without impacting the customer experience.

3) Insights Reporting: Drill into transactional data across your business, surfacing insights on performance health across segments such as geographies, product lines, or payment methods.

From login to checkout to fulfillment to returns, Signifyd’s solutions drive greater conversions while eliminating risk. Solutions included in the platform:

1) Account Protection: Defend customer accounts – and the sensitive financial information, gift card details, and loyalty points they contain – from malicious schemes and mitigate damages posed to brand reputation.

2) Payment Optimization: Put customer experience first and optimize payments for authorization – so that when your customers want to make a purchase, nothing stands in the way.

3) Fraud Protection: Machine learning models contextualize insights from the Commerce Network with merchant-and vertical-specific data – delivering automated decisions with unparalleled accuracy.

4) Abuse Prevention: Combine merchant-set Decision Center policies with active monitoring of consumer chargebacks and proactive consulting on best practices for business processes and policies.