Loops is a no-code platform that empowers product and data managers to maximize conversion, retention and other KPIs. Instead of more dashboards, it leverages causal AI models to proactively identify insights hidden across their data.
@memphys_sk
Hi, Lead DS here (:
Causal AI differ from traditional correlation analyses by accounting for confounding factors when estimating the effect of different actions in the product. A prime example would be of encouraging users to interact with a certain feature. If we were to simply compare the conversion rate among adopters vs non adopters we'd get an inflated estimate of the adoption effect since the adopters tend to have much higher intent. To account for that intent our causal models' (in a nutshell) stratify the population along intent levels and compares adopters vs non adopters within them, thereby eliminating the intent confounding.
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@memphys_sk Thanks, and I see you have a launch coming up soon. All the best to you too!
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Looks amazing! Excited for this launch, good luck! 👏🏼
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