Presenting Progressive Profiling From LoginRadius
Why we shipped progressive profiling at LoginRadius and how it changed the trade-off between data quality and conversion.

Every consumer business wants more data about its users. Every user wants to fill out fewer forms. Progressive profiling was our answer to that tension at LoginRadius: collect the minimum at signup, then ask for more, in context, when it actually mattered.
The idea
A new user gives you email and password. That is it. The first time they try to check out, you ask for shipping. The first time they engage with personalized content, you ask for preferences. The first time they hit a regulated workflow, you ask for verification. Each ask is small, timely, and tied to a benefit the user can see.
This works because attention is the scarcest resource in any signup. Spending it all on a 14-field form gets you a 12% completion rate. Spending it incrementally, where each field unlocks a real next step, gets you the same data with twice the conversion.
What we shipped
LoginRadius progressive profiling let customers define field groups, trigger conditions, and the UI that prompted for each one. The platform tracked what had been collected, what had been declined, and when to ask again. Customers configured it without code; developers got an API to query profile completeness for any user.
The result, across the customers who turned it on, was a measurable lift in both signup completion and downstream data quality. Users who agree to give you information because they understand why give you better information than users who fill out a form to make it go away.
The principle
Treat user data as a transaction, not an extraction. Every field you request is a small ask for trust. Time the ask to a moment where the trust has been earned. Progressive profiling is one tactic. The mindset behind it is the more important point.
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