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

Cohort analytics · Planned

Customers grouped by start month,
so you compare like with like.

A cohort analysis is planned: customers with the same start month form a group, and you follow each group across the months since its start. That shows whether spring customers stay longer than autumn ones. It does not exist yet; the preview has no “customer start month” field.

Today: read the cohort guide

Planned, not available. In the preview you split new and returning customers per month. That is a hint, not a cohort.

EXAMPLE / PLANNED

Customers grouped by start month,
so you compare like with like.

Peak Analytics / Cohort analyticsFICTIONAL

01 / Example value

Which customer group do you suspect is more loyal than the rest?

02 / What Peak Analytics is meant to showDo Christmas customers buy again in spring?

Cohort: first order in December (planned) · Columns: months since first order · Today: returning-customer orders per month

Change the example value. The finding follows the value.
Fictional example · no real data

One question. Two evaluations.
Customers grouped by start month,
so you compare like with like.
Compare both evaluations below ↓

Two sample questions

Which customer group do you suspect is more loyal than the rest?

What would mark their start?

4/ 10Nordwind Travel Goods (fictional)
Look closer firstEXAMPLE EVALUATION
Do Christmas customers buy again in spring?
Then

Do customers from the discount campaign reorder less than others?

Cohort: first order in December (planned) · Columns: months since first order · Today: returning-customer orders per month

10/ 10Hofmann Delicatessen (fictional)
Straight to a taskEXAMPLE EVALUATION
Do customers from the discount campaign reorder less than others?

Cohort: first order with discount (planned) · Compared with first order without discount · Small groups marked

Honest about the status

What this page promises and what it does not.

01 / What is settled today

Planned, not available

This capability is specified and not built yet. There is no date and no separate price.

Peak Analytics / Example evaluationsFICTIONAL
  1. 4/10
    Do Christmas customers buy again in spring?Cohort: first order in December (planned) · Columns: months since first order · Today: returning-customer orders per month
  2. 10/10
    Do customers from the discount campaign reorder less than others?Cohort: first order with discount (planned) · Compared with first order without discount · Small groups marked

02 / Your control

Fictional examples

Businesses and numbers on this page are made up and marked as examples. None of it is a measurement or a customer result.

4 / 1010 / 10

Compare both evaluations and their reasons.

03 / The clear limit

What works today

Peak Analytics is available as a preview: pivot evaluations over orders, receipts, tasks, goals and files, CSV export and sharing.

End of exampleNothing saved

Your next step

Like with like.

The cohort guide explains how to build and read start groups. You can work with an export today, until cohort analytics is built into Peak Analytics.

Today: read the cohort guide
Cohort analytics · PlannedDo Christmas customers buy again in spring?

Planned, not available. In the preview you split new and returning customers per month. That is a hint, not a cohort.

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.

Can I build cohorts with the pivot today?

Not really. The preview has no field for a customer's start month. You can split new and returning customers per month; that is a hint, not a cohort.

What is meant to mark the start of a cohort?

The plan is that you choose it, such as the first order, the first invoice or the contract start.

How does the analysis handle small groups?

The plan is to mark small cohorts with their count, so nobody reads a trend out of a handful of customers.