Split Adds Data Integration with Google Analytics to Reduce Software Development Risks

By AIT News Desk On Mar 26, 2020

Unique integration will allow import and export of data, providing instant feedback on page load performance and other critical metrics from new features

To reduce risk in the development process, Split Software, the leading feature delivery platform, announced a two-way data integration with Google Analytics that can instantly detect performance issues caused by new features. This integration is unique to Split and includes the ability to ingest data from and export data to Google Analytics.

“By closing the feedback loop from the features built, development teams deliver quantifiable customer and business value.”

Pairing web performance data with feature flag data gives engineering teams a direct understanding of how key service level objectives – such as page load time – are impacted by each new feature they release.

Used by 86 percent of top websites to report on web analytics, including performance and business metrics, Google Analytics is the industry standard for web performance. Now, companies using Split won’t need to track data a second time. Instead, they can measure the impact of every feature shipped to customers using web performance data already collected in Google Analytics.

“The strength of Split’s platform is the power to measure performance and outcomes of feature flags. Through our integration with Google Analytics, we are helping businesses to respond faster to any issue that may impact the customer experience,” said Trevor Stuart, head of product and co-founder at Split. “By closing the feedback loop from the features built, development teams deliver quantifiable customer and business value.”

Additionally, companies can run experiments or A/B tests that prove which features drive the best results for the business. Using Split’s javascript SDK, teams can automatically collect Google Analytics metrics instantly as a user is browsing their website. Other product capabilities include:

Send web performance, conversion and business data from Google Analytics to Split to understand the impact of new features
Use average revenue per cart to see if a new feature improves business outcomes
Send a record of every feature flag in Split – called an impression – to Google Analytics for segmentation analysis
Send feature data from Split to Google Analytics to segment session or goal completion data by exposure to a new feature
Instantly kill any feature in Split that causes a degradation in performance indicators measured by Google Analytics