Customer lifetime value · Planned
What a customer brings over the years,not just in the first month.
How much you can spend on winning a customer depends on what they bring over the whole relationship. Peak Analytics is meant to show customer lifetime value from customer, subscription and order data. That is planned and not built. You can already play through how LTV and acquisition cost relate with the calculator.
One answer changes the follow-up
Pick a sample rating.
Local draft · no product activationPlanned, not available. LTV evaluations are specified and not built; the calculator works only with your own assumptions. Examples are fictional.
02 / The follow-up to the data
And how much you can therefore spend on winning a new one?
„Which clients have paid us the most since we started working together?“ → Largest client with share, CSV export
Concept with fictional businesses · planned, not the product interface · not the product interface
Your question
How well do you know today what a customer brings over the whole time?
What a customer has paid so far is in receipts and orders. An LTV also needs how long customers stay, and a clean definition; otherwise it's an estimate with decimals. The example runs only in this browser window; the evaluation it describes is planned.
Local rule demo · Please use neutral sample details only.
Pick a rating to see the next step.
The answer sets the direction.
- Rating
- —
- Uppföljning
- Waiting for a rating
No example picked yet.
The planned LTV evaluation
Recognise customers, measure value over time, decide.
The calculator shows how LTV and CAC relate. The evaluation with your data is meant to build on the preview's pivot, finding and task.
- 01Step 1
Recognise customers over time
SaaS„Do referred customers bring more over two years than those from ads?“ → Weaker origin as a „Check“ task
Peak Analytics is meant to recognise the same customer across orders, receipts and subscriptions and record their first purchase or contract.
Customers with start month and origin - 02Step 2
Value per cohort
0–6Uppföljning7–10FinishEach cohort is meant to show how much revenue a customer brought on average after six, twelve and twenty-four months, separately per currency.
Origin × months since start, average - 03Step 3
The decision as a task
Today„Which clients have paid us the most since we started working together?“ → Largest client with share, CSV export
A channel or cohort with notably low value is meant to land as a task in Peak Work with „Check“, for example for budget planning.
Weaker origin as a „Check“ task
What already exists today
The Peak Analytics preview already exists.
This page describes a planned capability. In the preview today: pivot evaluations over orders, receipts, tasks, goals and files, the largest value with its share, „Check“ as a task, CSV export and sharing a released snapshot. The planned part is meant to build on that. Tasks from Peak Work are one of the five Peak Analytics sources, and „Check“ turns a finding into a task of its own there, with a link back to the evaluation.
Look at Peak WorkPeak Analytics / Your next step
Judge customers by their whole value.
Open the LTV to CAC calculator and play through your own assumptions until the planned evaluation exists.
Open the LTV to CAC calculator
Judge customers by their whole value.
„Which clients have paid us the most since we started working together?“ → Largest client with share, CSV export
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.
Does Peak Analytics show an LTV today?
No. It outputs no lifetime value and doesn't extrapolate one from receipts. Today you see revenue per customer so far.
What does the LTV to CAC calculator do?
It calculates with your own assumptions in the browser and reads no data from your workspace.
Does Peak Analytics read acquisition cost?
No. Ad and sales costs are not a source today; receipts show expenses only per counterparty and month.