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Peak Atlas

PreviewAvailable in the Peak Analytics preview. Examples with company names and numbers on this page are fictional.

Segmentation · Preview

Segments from fields
your apps already know.

In Peak Analytics a segment is a column: channel, country, new or returning customer, board or status. You put the field into the columns and see every measure split by segment, without exporting lists or rebuilding filters.

Pick a segment

In the preview with the fields of the five sources. Freely defined segments and cohorts are planned; examples are fictional.

EXAMPLE / PREVIEW

Segments from fields
your apps already know.

Peak Analytics / SegmentationFICTIONAL

01 / Example value

Which trait sets your customers or tasks apart the most?

02 / What the evaluation showsDo new customers buy through different channels than returning ones?

Orders · Rows channel, columns new/returning, count · New customers mostly come via the marketplace

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

One question. Two evaluations.
Segments from fields
your apps already know.Compare both evaluations below ↓

Two sample questions

Which trait sets your customers or tasks apart the most?

Is that trait already a field in one of your apps?

4/ 10Nordwind Travel Goods (fictional)
Look closer firstEXAMPLE EVALUATION
Do new customers buy through different channels than returning ones?
Then

In which countries is the order value highest?

Orders · Rows channel, columns new/returning, count · New customers mostly come via the marketplace

10/ 10Hofmann Delicatessen (fictional)
Straight to a taskEXAMPLE EVALUATION
In which countries is the order value highest?

Orders · Rows country, average order value · One country with few, large orders

Honest about the status

What this page promises and what it does not.

01 / What is settled today

Preview

Peak Analytics is a preview. You can evaluate orders, receipts, tasks, goals and files, not arbitrary external data.

Peak Analytics / Example evaluationsFICTIONAL
  1. 4/10
    Do new customers buy through different channels than returning ones?Orders · Rows channel, columns new/returning, count · New customers mostly come via the marketplace
  2. 10/10
    In which countries is the order value highest?Orders · Rows country, average order value · One country with few, large orders

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

Your data stays where it is

The website reads no data from your workspace. Evaluations only happen in Peak Analytics, with your permissions.

End of exampleNothing saved

Your next step

One field, one segment, one comparison.

Pick a segment and see how the same measure differs from group to group.

Pick a segment
Segmentation · PreviewDo new customers buy through different channels than returning ones?

In the preview with the fields of the five sources. Freely defined segments and cohorts are planned; examples are fictional.

Frequently asked questions

Is Peak Analytics finished?

Peak Analytics is available as a preview. What this page describes as available exists in the preview; examples with company names and numbers are fictional.

Which fields can I segment by?

By the fields of the five sources, such as channel, marketplace, country and new or returning customer for orders, board and status for tasks, status and level for goals.

Can I create my own segments or cohorts?

Freely defined segments and cohort analyses are planned. Today a segment is an existing field in the rows or columns.

What happens to records without a value in the field?

They stay visible as their own group. Empty, null and missing are not mixed up.

More about Peak Analytics