Become more data-driven around feature releases by using impression data from Split in mParticle and mParticle event data to evaluate treatments in Split.
When we speak to our customers, one of the most common reasons they say they made the move towards feature flags was the need to make sure their releases didn’t cause more errors for their users. By leveraging feature flags to ramp the release of their features to just small…
Starting today, Split is an initial partner for Segment’s new Developer Center, making it even easier to send user events and customer identities tracked in Segment to Split for analysis in a feature-driven context.
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