Split is a platform for controlled rollouts: a switchboard for feature flags, targeted rollout plans and integrations with developer tools.

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9.2/10 (Expert Score) ★★★★★
Product is rated as #16 in category A/B Testing Software
Ease of use
8.2
Support
9.5
Ease of Setup
6.9

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Split’s Feature Delivery Platform pairs the speed and reliability of feature flags with data to measure the impact of every feature. Engineering teams at Twilio, Salesforce, and WePay use Split to:
* Reduce software development cycle time
* Mitigate release risk
* Create a data-driven culture to maximize impact

Split brings together everything an engineering team needs to successfully roll out new features into production. It’s built on an enterprise-grade platform that prioritizes data privacy, ensures fault tolerance, and always keeps features in sync
* Feature flags free you to deploy when you want, gradually roll out when you’re ready, and even dynamically adjust in prod
* Combine feature flags with ops data to detect release issues, identify the feature, and kill it instantly
* Turn more of your ideas into successful features based on measurable impact from statistically rigorous A/B tests

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Customer Reviews

Split Reviews

User in Retail

Advanced user of Split
★★★★★
Experiment testint inside Search engine in Rappi App

What do you like best?

The UX is really easy and userfriendly, creating new experiments and splits is easy

What do you dislike?

We loose a lot of impressions in the migration from split to the internal databases where we ingest the information. Even if I download the impressions directly from the UX when i compare that to or event logs I loose 30% on user information.

Also there is no easy way to know which user properties can be used in a split.

Recommendations to others considering the product:

Compare the impressions you get with your own logs to check for missing info

What problems are you solving with the product? What benefits have you realized?

We use it for new feature and algorithms releases in the search engine, it has helped us realize which new algos and features are adding value to our users across 9 countries in latinamerica, leading to a higgher conversion

Review source: G2.com

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