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PlannedThis capability is planned and not available yet. Examples are fictional; available today are pivot evaluations, CSV export and sharing.

Resources · Templates · Planned

Who stays, who leaves, who buys again,
planned until cohorts and customer history exist.

This template is meant to show customer retention over time: repeat purchases per cohort, customers who have not bought in a while and cancellations per month. For that, Peak Analytics needs a customer history with a start month and cohort evaluations. Both are planned. Today orders only show whether a purchase came from a new or a returning customer.

For which example?

Change the question. The preview next to it reacts instantly.

Edit path, choices and next step ↗Open the preview directly ↗
Local example · this capability is planned
Analysis question · previewPreview reacts instantly
Peak AnalyticsLocal example · this capability is planned

How many customers from March bought again by June?

Nordwind Travel Goods (fictional): Customer history (missing today) → Start month × following month, count

Use sample data only.

Stays in this browser. No workspace data, no evaluation, no sharing, nothing saved automatically.

Edit your question in detailPath, choices & next step
01

Your analysis question

Your question, your numbers.

Additional pivot choices

Data source, the recipient of the shared snapshot and the question itself are always part of the example.

JSON file with your local question. No import into Peak Analytics, no evaluation.

How the set is meant to work

Cohort, curve, task.
Customer history

Customers are meant to be grouped by their start month; the columns show how many of them buy again or stay active in the following months. New versus returning per month hints at retention, but it is not a retention curve.

01 / The questionYour current question

A question
that deserves a number as its answer.

Peak Analytics · local preview
How many customers from March bought again by June?

Nordwind Travel Goods (fictional): Customer history (missing today) → Start month × following month, count

Question → Pivot → Finding

A good question names what is counted or summed and over which period.

02 / The pivot
6pivot choices
01Data source02Share with03问题04Rows05Columns06Time grain
03 / The next stepEvaluation preview

And then?
A person decides.

Check the weak cohort. Planned; nothing happens in this preview.

Open it in the preview directly above.

The planned set

Retention as a curve, not a snapshot.
planned until cohorts and customer history exist.

Each question names the source or capability it lacks. The new vs returning report is the start for today.

Another example replaces the current question.

  • 01 / CohortsSelected

    How many customers from March bought again by June?

    Repeat purchases per cohort need each customer's first purchase.

    Nordwind Travel Goods (fictional)

    „How many customers from March bought again by June?“

    6 choices · Rows + Columns + Time grain
  • 02 / InactivePlanned

    Which regulars have not ordered in a long time?

    That needs the last purchase per customer, not per order.

    Seeberg Workshop (fictional)

    „Which regulars have not ordered in a long time?“

    5 choices · Rows + Time grain
  • 03 / CancellationsPlanned

    How many customers cancel per month?

    Only a subscription source knows cancellations, and it is planned.

    Cloudkontor (fictional)

    „How many customers cancel per month?“

    4 choices · Columns

03 / Move on deliberately

Planned, with an honest start for today.

Until cohorts exist, the new vs returning report shows you whether buyers come back.

Your question, the path through the pivot and the next step, as one file.

Please fill in the question before you take it along.

Stays in this browser. No workspace data, no evaluation, no sharing, nothing saved automatically.

Frequently asked questions

Can I use this in Peak Analytics yet?

No. This capability is planned and not built yet; there is no launch date. Available today is the Peak Analytics preview: pivot evaluations over orders, receipts, tasks, goals and files with CSV export and sharing.

Which source is missing?

A customer history with first purchase or contract start per customer, and subscription data for cancellations. Without a start month there are no cohorts.

Is new versus returning already retention?

A hint, not a curve. The report shows per month how many orders come from returning customers, but not how long a cohort stays.

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