improved

Explore with custom groupings

Back in Feburary, we launched the ability to see matching users for a given search in the Explore view, to quickly see how many and which users are involved in a certain data pattern.

Today, we're greatly enhancing this concept by allowing you to open a number of grouped views based on any string or enum field, such as device, IP, User Agent or country. This will help you quickly reveal multi-accounting related fraud by spotting subtle patterns and relations, or dig into credential stuffing attacks to reveal the clusters of bad IPs or devices.

For example, with Device grouping together with column sorting you can easily reveal devices with multiple users and then see which IPs these have been on:

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Finding the IPs of multi-accounters using the new grouping feature