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

Retention analytics · Planned

Do your customers come back?
Retention with a clear definition.

A retention analysis is planned that shows how many customers of a period buy again, hire you again or stay active, with a visible rule for what counts as “came back”. It does not exist yet. Today a pivot over orders by month shows how many orders come from new and how many from returning customers.

Today: learn to measure retention

Planned, not available. The preview has new and returning customers on orders and income per counterparty on receipts. Subscription metrics such as churn are planned.

EXAMPLE / PLANNED

Do your customers come back?
Retention with a clear definition.

Peak Analytics / Retention analyticsFICTIONAL

01 / Example value

How do you notice today that a customer won't come back?

02 / What Peak Analytics is meant to showHow many orders come from returning customers each month?

Orders: new and returning customers · Columns month, count · Today as a monthly report preset

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

One question. Two evaluations.
Do your customers come back?
Retention with a clear definition.
Compare both evaluations below ↓

Two sample questions

How do you notice today that a customer won't come back?

And how long do you wait before you ask?

4/ 10Nordwind Travel Goods (fictional)
Look closer firstEXAMPLE EVALUATION
How many orders come from returning customers each month?
Then

Which clients got no invoice this quarter?

Orders: new and returning customers · Columns month, count · Today as a monthly report preset

10/ 10Feld Accounting Office (fictional)
Straight to a taskEXAMPLE EVALUATION
Which clients got no invoice this quarter?

Receipts: income by counterparty · Columns quarter, sum · Empty cells: who is missing

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
    How many orders come from returning customers each month?Orders: new and returning customers · Columns month, count · Today as a monthly report preset
  2. 10/10
    Which clients got no invoice this quarter?Receipts: income by counterparty · Columns quarter, sum · Empty cells: who is missing

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

Retention starts with a definition.

The guide shows how to measure retention and which rule fits your business. The first look at returning customers is already in the preview.

Today: learn to measure retention
Retention analytics · PlannedHow many orders come from returning customers each month?

Planned, not available. The preview has new and returning customers on orders and income per counterparty on receipts. Subscription metrics such as churn are planned.

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.

What does the preview show about retention today?

For orders it splits new and returning customers, for example with the monthly report preset “Orders new vs returning”. For receipts you see income per counterparty and quarter.

Is that already a retention analysis?

No. It is a signal that customers come back, not a curve of which share of a start group stays. That is planned.

Are there churn and MRR from subscription data?

No. Subscription metrics such as churn, MRR and LTV are planned; subscription data is not a source of the preview.