6 results found
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Variance Reduction for Experiments in Low-Frequency E-Commerce Context
I'm a UX researcher and have been reading up on CUPED for an upcoming experiment. I understand that CUPED is currently set up in Optimizely Analytics to work on the past two weeks of data for the metric of interest, which must be numeric (e.g., Revenue). As is the case for many low-frequency e-commerce products, many of our customers won't have revenue events in the two weeks leading up to an experiment.
As I dove deeper down the rabbit hole, I came across CUPAC, developed by DoorDash in 2020. CUPAC solves the above problem by using a model-based predicted outcome…
1 vote -
Apache Iceberg Analytics Connector
Apache Iceberg connector for Analytics to like there is for Snowflake, Databricks, etc.
1 vote -
fabric
We see that the use of Microsoft Fabric as a data warehouse is increasing. My suggestion is therefore to build a pre-built connector for Analytics to MS Fabric like there is for Snowflake, Databricks, etc.
2 votes -
1 vote
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Preview Experiment Results in CMP via Collaboration
I am the product owner of the web experimentation platform. We also use the CMP. I connected the two platforms so that we could collaborate on variations, view metrics & run time within the CMP, however, results are not viewable within the CMP.
This defeats a large purpose of the connection between the two tools, because I want users within the CMP to see the results within our projects, without having to go into the Experimentation platform. This will save me time manually reporting on experiments, and would enable anyone who is part of that CMP Hypothesis to see the…
3 votes -
Warehouse Product Instrumentation
Baseline ability to send behavioral events from a company’s app or website to their warehouse for OA to analyze.
1 vote
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