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Browse to buy retention

Measures how long first time visitors take to place an order, by acquisition source, so you can tell fast converting channels from slow ones.

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 first visit to first order

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    Blu builds a step

About this recipe

When to use it

Most first-time visitors don't buy on visit one. The question is whether they come back in week 1, week 4, or never - and whether that depends on how they found you. This tracks exactly that.

What it delivers

Tracks first-visit-to-purchase retention at W1/W4/W12 benchmarks, split by acquisition channel, showing which traffic sources convert slow-but-sure vs. fast-but-shallow.

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

“Measures how long first time visitors take to place an order, by acquisition source, so you can tell fast converting channels from slow ones.”

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 first visit to first orderCreate a Retention report called "Browse to Buy Retention". Anchor event: Session start (each user's first Session start) Return event: Placed order Cohort granularity: Weekly Time range: Last 12 weeks Breakdown: By Users.UTM source (top 6 sources) Compare: Previous period (prior 12 weeks of cohorts) Chart type: Retention curve plus cohort table with W1 / W2 / W4 / W8 / W12 columns Annotations: - Add benchmarks: W1 first-purchase rate of 5% is typical for considered-purchase DTC, 10%+ for impulse-buy. - Flag any source where W12 first-purchase rate is below 8% (browse-to-buy gap). - Highlight the source with the fastest first-purchase rate (steepest W1 conversion). - Highlight the source with the highest W12 conversion (best overall, even if slower). Surface which sources produce "fast converters" vs "slow converters." Taxonomy notes: - Session start and Placed order are canonical. Users.UTM source is canonical. - "first session" per-user is determined by the earliest Session start for that customer_id.

    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 /browse-to-buy-retention 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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