See churn coming while there is still time to call the account
We build data, analytics and AI for B2B software companies. Our published SaaS work: churn signals from three systems read together for the first time, enterprise CSAT up from 4.6 to 4.8 in one quarter, and $480k of ARR kept on the books.
- Published work in this industry
- 1 case study
- ARR held
- $480k
- Enterprise CSAT
- 4.6 to 4.8
- Time to move
- One quarter
On this pageWhat we hear in B2B SaaS
What we hear in B2B SaaS
Each of these comes from our SaaS case study or from an article we wrote for software companies.
- 01Account managers hear last
Churn warnings were already recorded across three systems. Each team watched its own slice, and the people who owned the relationship found out too late to act.
- 02Churn means three different things
Logo, revenue and activity churn can move in opposite directions in the same quarter, and the deck shows one while the room thinks of another.
- 03Customers want your dashboards inside the product
The charts are the easy part. Isolation, load shape and a support queue are what change, and none of those is a dashboard setting.
- 04Everyone has a BI seat and five people build everything
Self-serve analytics turns out to be a staffing decision, not a licence purchase.
- 05A prompt edit went straight to production
On the strength of one manual check. A prompt change is a deployment, and it needs gating like one.
- 06The model changed and your release notes did not
Behaviour drifts without a deploy, and the first person to notice is a customer.
What we have delivered
One published case study, anonymised.
Moved in a single quarter.
Accounts that stayed on the books.
Read together for the first time, without adding a fourth system.
In the customer's words
It changed the conversation from why did we lose them to who do we call today. That is the whole job.
VP Customer Success, B2B SaaS customer
Read the full account
- Case study, B2B SaaSThe churn signals existed. Nobody read them together.
Persona-driven views and an account-review queue, so an at-risk account arrives with an owner and a date.
Read the case study ↗
Where to start
Three places a first engagement can begin. Week 1 tells you which one comes first.
- AISignals that explain themselves
Data agents watch the data and explain what moved it, so the account review starts from a reason rather than a chart.
Data agents ↗ - AnalyticsAnalytics inside your product
Apache Superset built and run by people who commit to the project, including embedding and Kubernetes.
Apache Superset ↗ - AIAI features you can prove work
A graded evaluation set of your own examples, because an AI system cannot simply pass or fail a test suite.
AI evaluation ↗
How the first weeks run
The same three phases in every industry. What changes is what we build in them.
- Week 1, fixed feeAudit
Two calls and a written one-pager. Yours to keep whether or not you continue.
- Weeks 2 to 6Build
Something real in front of real users by week three. Median six weeks to the first production-grade artefact.
- Week 7 onwardOperate
Quarterly reviews and on-call governance. The people who built it pick up the phone.
Questions we get asked
Further reading
- Churn is three different measurements wearing one wordLogo, revenue and activity churn can move in opposite directions in the same quarter.
- Putting dashboards in front of customers turns reporting into a productThe charts are the easy part.
- A prompt change is a deployment, so gate it like oneWhat putting an eval suite in CI looks like, and what it honestly costs.
Start with the Week 1 audit
Two calls and a written one-pager naming the first thing worth building, and who owns it. You keep it either way. NDA-friendly, fixed scope. Write to hello@woodfrog.tech.
