For SaaS companies · Planned
MRR, churn and cohortsfrom subscription data: planned.
SaaS teams ask about recurring revenue, cancellations and how customer cohorts behave. Peak Analytics is meant to answer these from subscription data. That is planned and not built. Today the preview evaluates receipts and tasks, and this page says exactly what that means for a SaaS team.
Put the goal into words. Add perspectives and timing right below.
Planned, not available. MRR, churn, LTV and cohorts from subscription data are specified and not built; examples are fictional.
Read subscription data as a source / Month × new, expansion, cancellation / Month with the biggest drop as a task
Is recurring revenue growing, and who cancels?
- MRR
- „How has our MRR developed over the last six months?“ → Month with the biggest drop as a task
- Cohorts
- „Do spring customers stay longer than autumn customers?“ → Weakest cohort to customer success
- Today
- „Which customers pay the most today, and since when?“ → Largest customer with share, CSV export
Your question
Which SaaS metric do you need first?
These questions need a subscription source with terms and cancellations. Peak Analytics doesn't have one yet; it is planned. The example runs only in this browser window; the evaluation it describes is planned.
Local working example · nothing is saved or sent. Please don't enter personal data.
Three details. One clear evaluation question.
Draft · not yet put together
- Soru
- Still open
- Data basis
- Still open
- Next step
- Still open
Two fictional situations
Which SaaS metric do you need first?
Two fictional SaaS teams show the planned evaluation; the third example shows what works today.
Cloudhafen (fictional)
„How has our MRR developed over the last six months?“
- The action
- Month × new, expansion, cancellation
- The intent
- Month with the biggest drop as a task
MRR
- Soru
- How has our MRR developed over the last six months?
- Peak Analytics is meant to
- Read subscription data as a source
- Why
- MRR needs contract data. From payment receipts alone it would be an estimate, and that should not pose as a metric.
Two fictional situations make the planned idea tangible. Below is what of it exists today.
To the source and limitIs this for you?
Honestly planned.
MRR, churn and cohorts
from subscription data: planned.
This is where Peak Analytics helps.
- MRR needs contract data. From payment receipts alone it would be an estimate, and that should not pose as a metric.
- Cohorts show whether a problem sits in the product or in one phase of acquisition.
- The preview already answers this today, without a subscription source, through payments per customer.
No real data
What doesn't exist yet.
- Planned, not available
- No subscription source
- What works today
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
Honestly planned.
Read the guide to MRR and ARR and see what you can already answer with receipts and tasks.
Read the MRR guide
Honestly planned.
„Which customers pay the most today, and since when?“ → Largest customer 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.
Why not MRR from receipts?
Receipts show payments, not contract terms or cancellations. A number estimated from them should not pose as MRR.
What can a SaaS team evaluate today?
Income from receipts per client and month and tasks by board, status and week, with CSV export and sharing.
Is there product or event data?
No. Event and product evaluations are planned too and not built.