Split Integrates with mParticle to Help Enterprises Understand the Impact of New Features on the Customer Experience

Enterprises using customer data platforms can easily integrate Split to measure customer impact of software development

As enterprises work to improve the quality of digital experiences and the efficiency of software development, Split Software, the leading feature delivery platform, announced a pre-built integration with mParticle, a customer data platform for enterprise B2C brands.

mParticle allows for the centralization, management and activation of customer and engagement data across any channel. Split’s mParticle integration can be used as an event input or feed output and will help companies to create high-impact customer experiences by closing the feedback loop from every feature they ship to customers.

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“Our vision for the Split platform is to make feature delivery an informed and data-driven part of the enterprise by connecting development teams to other lines of business through these integrations,” said Trevor Stuart, co-founder and head of product at Split. “The value of our mParticle integration is seen when plugging CRM data into Split, for example, and visibility into how the average revenue per customer or number of support tickets changes in response to application changes. The integration also works in reverse, by sending a record of every feature flag in Split to mParticle for use in a data warehouse or analytics tool, enriching customer data with a record of each feature a user has seen.”

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Split is the first feature delivery platform to add this bi-directional data integration with mParticle. By using existing customer data from mParticle, enterprises can run full-stack experiments and A/B tests that prove out which features perform best for both the customers and the business. mParticle joins a growing ecosystem of integrations with Split. In March, Split integrated with Google Analytics to tie in web performance data. And in September 2019, Split integrated with Sentry to incorporate error tracking into the analysis of feature impact. This rich ecosystem for impact-driven development gives engineering teams an automatic and immediate understanding of how their work impacts customers.

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