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Flipping a Hidden A/B Test Setup Error into a 12% KPI Lift
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
Product Analytics Leaders' Meetup Masters Mini-Series - Snehal Karanjkar
Snehal Karanjkar of Kong, and formerly of ProductBoard and Dropbox, discusses best practices for effective business reviews and the best analyses for streamlined reporting
Major Consumer Goods Company Discovers Hidden KPI Drop with Loops - Avoiding $5M Revenue Loss
This case study highlights that many firms may be losing money without knowing it. In this case, a customer of Loops avoided a $5M revenue loss by quickly identifying an issue before it impacted the majority of their client base.
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200%
Lift in Conversion to Next Step at Wahi
34%
Lift in Logins at uDocz
34%
Lift with Loops Release Impact at Atera
Trusted by the best growth teams
Resources
Data Science
Whitepaper. Measuring the Causal Effect of Product Launches
Published on
July 17, 2024
About Company
A New Paradigm for Product Analytics Teams
How to leverage causal inference models.
Understand causal insight accuracy versus A/B tests.
Learn how to make impactful decisions with less traffic, time, and cost.
Download now
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Flipping a Hidden A/B Test Setup Error into a 12% KPI Lift
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Heading goes here
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Heading goes here
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Medium length title goes here
200%
Lift in Conversion to Next Step at Wahi
34%
Lift in Logins at uDocz
34%
Lift with Loops Release Impact at Atera
Trusted by the best growth teams
