Real-time Verification Analytics: Spotting Onboarding Friction
Blog post from Didit
Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.
Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.
This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.
Real-time analytics plays a crucial role in optimizing user onboarding and identity verification processes by providing immediate insights into where users encounter difficulties, thus enhancing user experience and conversion rates. Didit's Business Console offers a comprehensive, intuitive analytics dashboard that delivers actionable insights on verification performance by geographic location, user demographics, and technical specifications, enabling businesses to swiftly identify and address bottlenecks. This data-driven approach not only improves the onboarding journey but also strengthens security measures by adapting to fraud patterns and technical issues in real-time. Didit provides a holistic view of identity verification through its AI-native platform, which includes features such as ID Verification, Passive & Active Liveness, and Phone & Email Verification, all integrated into a modular architecture that supports customization and scalability without initial investment. By leveraging detailed insights into user behavior, businesses can optimize their verification strategies to achieve higher conversion rates and maintain compliance with regulatory standards.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 12 | 13,979 | 3,441 | 296 | +113% |
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