Understand your PQL and PQA Scores 🔎 and Map your Customer Data 🗺

Spring is here and new features are in full bloom over at Correlated! Check out some of the exciting product updates we've made since last time:

PQL / PQA Scoring Breakdown

In addition to the Score Thresholds and Training Data discussed in our last announcement, we have added yet another feature to improve the way you interpret your AI-powered propensity scoring models.

For each scoring stage, we will rank all of the indicators that are most correlated with your goal. To learn more, click into each indicator and see the Lift (the relative impact each value has on propensity to buy) and Breakdown (what percentage of accounts / users have converted vs not converted who share the value).

See the example below! Having 11-12 "Advanced Integrations Added" is a strong signal for expansion, and 33% of existing converted accounts share this trait.

Data Mapping

You may have already seen our new Data Catalog - It's the go-to spot for managing all of your data in Correlated. Here, you can see data across different sources, rename fields for clarity, add descriptions, or even delete data. Now, you can improve the way Correlated analyzes your data by configuring Data Mapping.

In order for Correlated to generate the most accurate scoring models, it's important to make sense of your data. In the Mapping tab, you'll be prompted to tag relevant "activity data" as well as "account and user data" to corresponding Correlated Properties.

Pro tip: If you're new to Correlated and unsure what data should be shared in the first place, this is a great place to start!

That's all for now! Thanks.