Why Loops - with Japna Sethi

In this article, Iyar Lin, data science lead at Loops, goes through the “behind the scenes” of one of our most used types of analyses: Release Impact.

Whether you’re looking to make product feature updates, increase customer retention, enhance the conversion rate of a particular stage of the customer journey, or penetrate an entirely new market segment, the “how” will start with a hypothesis. Just like other fields of scientific studies, product management and growth requires data to back up your hypothesis and ensure the insights gathered are accurate and yield the best decision.

B2B experts discuss the top execution drivers for product growth in B2B businesses, in 2024

Colossyan leveraged Loops to redefine experimentation, track key product KPIs, and prioritize high-impact features. Learn how causal insights from Loops helped the team at Colossyan determine key steps in their AI video creation platform strategy.

A Loops-empowered R&D Team pinpoints the specific code release behind a core KPI change

A customer's own dashboards indicated their A/B test experiment variant was losing. Fortunately, they looked at the Loops validation analysis. Ultimately, it drove a 12% lift in Conversion to Paid