Resources · Demo analysis · Preview
A demo analysis with Nordwind Travel Goods,
a made-up shop to practise on.
Peak Analytics' demo mode comes with a fictional shop: Nordwind Travel Goods sells through its online shop, Amazon, Instagram and wholesale in Germany, Austria, Switzerland and the Netherlands. This page walks through an analysis with it. It is not a customer story, and the numbers are not results.
Which change do you want to check?
The "revenue per channel" monthly report puts months in the rows and the four channels in the columns, measure sum. The preview highlights the largest cell with its share of the total. Example: Nordwind Travel Goods (fictional), “Which channel carries revenue this quarter?”
A demo analysis with Nordwind Travel Goods,
a made-up shop to practise on.
- 01Chapter 1 · Revenue per channel
- 02Chapter 2 · Refunds and countries
- 03Chapter 3 · From finding to task
A real story starts with its release.
Four channels, four countries, orders and receipts.
Peak Analytics' demo mode comes with a fictional shop: Nordwind Travel Goods sells through its online shop, Amazon, Instagram and wholesale in Germany, Austria, Switzerland and the Netherlands. This page walks through an analysis with it. It is not a customer story, and the numbers are not results. Channels: online shop, Amazon, Instagram, wholesale. Countries: DE, AT, CH, NL. Data: orders with month, channel, marketplace, country, new and returning customers, refunds and discounts, plus receipts with income and expenses per counterparty.
This pattern shows the structure. It doesn't tell a real customer case yet.
The path to change
A fictional evaluation in three chapters.
Chapter 1 · Revenue per channel
The "revenue per channel" monthly report puts months in the rows and the four channels in the columns, measure sum. The preview highlights the largest cell with its share of the total. Example: Nordwind Travel Goods (fictional), “Which channel carries revenue this quarter?”
Largest cell with its share of the totalEvidence format · not filled in yetThe starting point.
In the original.Original excerptInsert the released passage here.
A / ObservationWhich concrete friction is visible in this source?Fictional · Month × channel, measure sum Chapter 2 · Refunds and countries
Next comes the "refunds per channel" monthly report and a split by country. If amounts come in more than one currency, such as Swiss francs, the preview doesn't add them into one total. Example: Nordwind Travel Goods (fictional), “Where are refunds highest, and in which country?”
Kept apart per currency, nothing added upEvidence format · not filled in yetOne step.
Traceable.BeforeOriginal processSource evidence requiredChangeConcrete interventionProduct view and date requiredFictional · Split by country: DE, AT, CH, NL Chapter 3 · From finding to task
The last step is what you do with a finding: "Check" creates a task in Peak Task in your workspace, linking back to the evaluation. Or you export the table as CSV or share a released snapshot. Example: Nordwind Travel Goods (fictional), “How many orders come from returning customers?”
Record the finding as a task with "Check"Evidence format · not filled in yetThe result.
With a yardstick.- Observation
- Not evidenced yet
- Period
- Open
- Source & release
- Pending
Without released data this statement stays open.
Fictional · Count per month and customer type
What can be evidenced
Proven results.
The evidence is still pending
No proven customer results. The chapter numbers come from fictional examples (Nordwind Travel Goods (fictional)); they show how the preview calculates, not what a business achieves with it.
The sculpture does not depict a customer.
One perspective.
With name and release.
Beyond the single case
Questions for a shop that doesn't exist.
Invented, not anonymised
Nordwind Travel Goods is made up, not a real customer under a different name. The numbers are the app's sample data.
Key ideaThe largest cell shows where to ask next; it isn't the answer yet.
No result, no benchmark
The demo tells you nothing about how channels perform in real shops. It shows how the calculation works, not values to compare against.
Key ideaA total holds only one currency.
Your own data comes from Peak
With real data you evaluate orders from Peak Profit and receipts from Peak Finance, only with your permissions. Other shop systems are not connected.
Key ideaA finding becomes a task with a link back, not a slide nobody can recompute.
What this article is based on.
Editorial page with fictional examples (Nordwind Travel Goods (fictional)). What is described as available follows the code of the Peak Analytics preview. No measurements, no customers, nothing is sent or saved.
- Checked evidence
Peak Analytics is a preview: pivot over orders, receipts, tasks, goals and files; count, sum, average, minimum, maximum; day to year; CSV export; sharing a released snapshot; largest value as a task.
peak-one app/w/[scope]/apps/analytics, lib/bi/model.ts, lib/views/pivot.ts, lib/bi/share.ts · checked 2026-10-29 - Editorial demo
Synthetic numbers in the browser. No real data is read, computed or saved.
- Evidence pending
No released Peak Analytics customer story. No customers, quotes or results are shown.
Practise on a made-up shop first.
How the same steps work with your own data is shown on the Peak Analytics overview.
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.
Is Nordwind Travel Goods a real customer?
No. The shop is invented and belongs to the app's demo mode. It is not an anonymised customer story.
Can I read benchmarks from the demo?
No. The demo shows how calculations work, not values to compare with real shops.
What data does the demo contain?
Orders through the online shop, Amazon, Instagram and wholesale in DE, AT, CH and NL, plus receipts with income and expenses.