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Weekly active users

Shows weekly active users and monthly active users, plus the WAU to MAU ratio, to indicate engagement stickiness.

Authored by Intempt Technologies

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Agentic workflow

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1 step Blu runs end to end. It drafts a plan and nothing runs until you approve it.

  1. 1

    Track weekly users and stickiness

    Coming soon

    Blu builds a step

About this recipe

When to use it

MAU moves too slowly to catch an engagement problem early. This tracks WAU as its own trend with the WAU/MAU stickiness ratio built in, so a dip shows up on a weekly cadence, not a monthly one.

What it delivers

Tracks weekly active users as its own trend line with the WAU/MAU stickiness ratio calculated alongside it, the standard PLG view for weekly-habit products.

How you prompt this

Describe the outcome in your own words and Blu Agent maps it to this recipe, or run it by name. It drafts a plan first and nothing runs until you approve it.

Tell Blu Agent what you want

“Shows weekly active users and monthly active users, plus the WAU to MAU ratio, to indicate engagement stickiness.”

recipe.md preview

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Inputs & outputs

What the recipe needs before it runs, and what it leaves in your workspace.

Inputs

  1. Nothing declared beyond an Intempt workspace. Blu asks for anything else it needs as it goes.

Outputs

    How the recipe runs

    Blu follows the steps in order and shows you each one before anything goes live.

    1. 01Track weekly users and stickinessCreate an Insights report called "Weekly Active Users Trend". Series A: Event "Session start", aggregation: Count Unique Users, time granularity: Weekly, label: "WAU" (alternative: use "identify" if the workspace uses identify as the active-user signal) Series B: Event "Session start", aggregation: Count Unique Users, rolling 28-day window, label: "MAU" Series C: Computed: Series A (WAU) / Series B (MAU) × 100, unit: %, label: "Stickiness (WAU/MAU)" Time granularity: Weekly Time range: Last 12 weeks Breakdown: By Plan: derive from each user's most-recent active Subscription started.Plan Compare: Previous period (prior 12 weeks) Chart type: Dual-axis: left axis user counts (WAU/MAU as lines), right axis stickiness % (line) Annotations: - Add a horizontal benchmark line at 20% stickiness (industry "good" for B2B SaaS). - Add a horizontal benchmark at 50% (top-quartile, near-daily-use products). - Highlight any plan where stickiness dropped >3 points vs. previous period. - Flag any plan where WAU is growing but stickiness is falling (acquiring users but losing engagement). Stickiness is the leading indicator of retention; raw WAU growth without stickiness growth is a vanity metric. Taxonomy notes: - Session start is canonical and carries device_type, country, UTM source. "user_active" as an event does not exist; Session start (or identify) is the active-user signal. - plan_tier as a property does not exist; Plan on Subscription started is the canonical plan attribute.

    Install Intempt and run it

    1. 1

      Sign up

      Create a free Intempt workspace.

    2. 2

      Connect your data

      Add the sources this recipe reads from.

    3. 3

      Ask Blu

      Type /weekly-active-users-trend in Blu once this recipe is live there.

    4. 4

      Review and approve

      Blu builds each step and waits for your OK before anything goes live.

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