Turn product usage into revenue
Which features drive revenue?
Join PostHog's usage data to Stripe to discover which features drive the most revenue per user.
Which onboarding steps turn trials into paying customers?
Build a funnel, flag who pays, and find the correlations so you can optimize the onboarding.
See churn coming
What do customers do right before they cancel?
Pull cancellation data from Stripe or Chargebee and examine the usage patterns preceding them to spot early-warning signals.
Do support tickets predict churn?
Was that last ticket the last straw? This skill joins data from PostHog, Zendesk, Chargebee, and Stripe to spot which support trends lead to churn.
Spend smarter on growth
Which channels bring customers who stick?
Rank marketing channels by the revenue they bring in, so you can spend budget better.
Which leads deserve the sales team's time?
Score leads by usage and highlight the warmest ones that Sales have overlooked to create a PQL list.
From a one-off answer to a model that lasts
A query answers the question today. A model answers it every day. These skills turn a metric definition into a durable, reusable model, strengthened by an opinion on what good looks like, just for spiciness.
The groundwork for everything else: PostHog views or dbt, the view-create to view-materialize workflow, warehouse joins, currency conversion, and registering a model in the data catalog so nobody builds a rival copy.
The rule it enforces
Decide person vs. group once. That choice shapes every model you build after it.
modeling-revenue-metrics
MRR, ARR, expansion and contraction, ARPU, LTV, and revenue per account.
The rule it enforces
MRR right now and MRR over time are two different models. A live snapshot never turns into a trend, so know which one you need before you build it.
modeling-conversion-metrics
Funnel and step conversion rates, drop-off, and time-to-convert.
The rule it enforces
Pin the time box first: signup to paid within 30 minutes and within 30 days are different metrics, not the same one measured loosely.
modeling-activation-metrics
An activated flag per user or account, plus an activation rate.
The rule it enforces
Activation is the early behavior that predicts whether people stick around — test it against retention lift. If it doesn't lift, it isn't activation.
modeling-product-usage-metrics
Retention, stickiness, and lifecycle models.
The rule it enforces
Retention of $pageview and retention of your core action tell very different stories. Model the one that means "got value".
Install the PostHog AI plugin in your coding agent, or open PostHog Desktop, then ask for the model you want, the Skills are already pre-loaded. More on views and data modeling.
Got a different question?
With 800+ warehouse sources including payments, CRMs, support desks, ad platforms, your production database, chances are your question is already answerable. See every source →
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