Plain-language questions
Ask for activation rate per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
KPI · Subscriptions and SaaS
Activation rate is the number of new accounts that reach a predefined activation moment within a set period, divided by all new accounts, as a percentage. The activation moment is the first time a customer experiences your product's core value, such as sharing a first report or setting up an integration. Activation is an early signal for conversion and churn.
New accounts that activate within the period ÷ all new accounts × 100%
In September, 180 businesses sign up for Acme's subscription service. Of these, 117 reach the activation moment within seven days: sending their first invoice through the service. Activation rate is 117 ÷ 180 × 100% = 65%.
Fictitious figures for Acme Groothandel, a sample wholesaler.
A higher activation rate means more new customers experience your product's value quickly, which usually leads to higher trial conversion and lower churn. Compare it by acquisition channel and onboarding version to see what works. The result depends entirely on how you define the activation moment; choose one that demonstrably links to retention and keep it fixed.
SQL & DAX
Two examples on a fictitious data warehouse for Acme Groothandel: a PostgreSQL query and a measure for a Power BI model. Adjust table and column names to your own model.
SELECT date_trunc('month', COALESCE(trial_started_at, started_at)) AS signup_month,
COUNT(*) AS signups,
COUNT(*) FILTER (WHERE activated_at <= COALESCE(trial_started_at, started_at) + interval '7 days') AS activated,
ROUND(100.0 * COUNT(*) FILTER (WHERE activated_at <= COALESCE(trial_started_at, started_at) + interval '7 days')
/ NULLIF(COUNT(*), 0), 1) AS activation_pct
FROM subscriptions
WHERE COALESCE(trial_started_at, started_at) < current_date - interval '7 days'
GROUP BY 1
ORDER BY 1;Activation Rate =
DIVIDE(
COUNTROWS(
FILTER(
Subscriptions,
NOT ISBLANK(Subscriptions[activated_at])
&& Subscriptions[activated_at] <= COALESCE(Subscriptions[trial_started_at], Subscriptions[started_at]) + 7
)
),
COUNTROWS(Subscriptions)
)In ENABLE
Ask for activation rate per month, customer or product in the SQL Explorer with AI. The AI writes the SQL, you see the query and run it yourself; the AI only receives metadata.
Define the KPI as a measure in your Power BI model and show it in the portal, with "Last refreshed" next to it. Access profiles and optional row-level security decide who sees which figures.
Add the KPI as a tile to a custom dashboard, compared with last year. The Dashboard Builder is a pilot and can be switched on per client.
With the built-in Targets app you set a target for the KPI per month, so you see actuals and target side by side.
FAQ
Divide the number of new accounts that reach the activation moment within a fixed window, such as seven days, by the total number of new accounts in the same period. With 300 sign-ups and 150 activations, the rate is 50%. Define the activation moment in advance.
Look for the action that separates customers who stay from those who leave, such as a first report, an integration or inviting a colleague. Compare retention between users who did and did not take that action. Pick an action that happens early, so you can steer towards it during onboarding.
Activation measures whether a new user has experienced the product's core value; trial conversion measures whether they started paying. Activation usually comes first and predicts conversion. Tracking both shows whether a problem lies in the product and onboarding, or in pricing and the buying process.
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