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Health & Risk
AI Churn Prevention
Churn risk predicted early, with the matching retention play surfaced and alerted before the account is gone.
By the time a customer asks to cancel, the decision is usually made. This build scores churn risk for every account from usage, support and billing signals, matches each rising-risk account to the retention play that fits, and alerts your team while there is still time to act. It reads your systems without changing them, and your team runs every play.
- Churn risk scored for every account from real signals
- Each at-risk account matched to the right retention play
- Alerts sent early enough for your team to act
$3,500
20–30 working days
Optional maintenance $249/mo
What it is
AI Churn Prevention scores every account's churn risk from usage, support and billing signals, matches a rising-risk account to the retention play that fits, and alerts your team to act in time. It reports to the one channel you choose and recommends plays rather than running them. It never changes data in your live systems.
Why businesses buy it
Winning back a customer who has already left is hard and expensive. Keeping one who is wavering is far easier, if you know in time. Most teams have the signals but no system that turns them into early warnings and clear next steps. This build does that, using plays your team already trusts. Because the scope is written before you order, you know exactly which sources it reads, how risk is scored and how alerts arrive.
Problems this solves
Churn is noticed only when the cancellation email arrives
AI Churn Prevention scores every account's churn risk from usage, support and billing signals. Rising risk shows in your dashboard or report, with alerts so your team can act in time.
Retention plays are picked ad hoc for each account
A rising-risk account is matched to the retention play that fits from your own set. Every CSM works from the same playbook rather than improvising.
Teams worry a new tool might change live customer data
The product reads up to three sources read-only and never changes data in your live systems. Results are checked against three months of your history before launch.
A good fit if
You already have a handful of retention plays, such as a check-in call, a usage-review session or a pricing conversation, but matching the right play to the right account is inconsistent.
Churn is usually caught during the renewal conversation itself, when there is little room left to change the outcome, rather than weeks earlier.
You want a recurring report or live dashboard showing predicted risk and the matching play, sent to email, Slack or the web, with alerts when risk climbs fast.
You can provide read-only access to your product usage, support and billing data, your retention playbook, and at least three months of historical data.
Not the right fit if
You want the specific reasons behind each flag more than a matched retention play, so a CSM can build their own approach. See AI Customer Risk Agent, which flags accounts showing churn signals and recommends save actions.
You want a single health number across usage, support, billing and sentiment for reporting purposes. See AI Customer Health Score, which calculates account health from all four signal types.
You want the agent to also run the whole account lifecycle, not just churn prediction and retention plays. See AI Customer Success Agent, which monitors accounts and runs success playbooks.
You need more than three read-only data sources, more than twenty-five prediction signals, or a live write-back into your CRM. Add a note at checkout for a Change Quote, or use our Custom AI enquiry form for larger projects.
How it works
- We connect your signals. HubSpot, Salesforce, Zendesk, Stripe, Mixpanel or Amplitude, using read-only access so nothing in your live systems is touched.
- We load your retention playbook. The plays you already run, such as a usage review or a pricing conversation, and which situation each one fits best.
- We build the prediction model. Up to twenty-five signals combined to score churn risk, checked against three months of your own data so it matches outcomes you already know.
- The dashboard or recurring report goes live, delivered to the one channel you chose, showing every account's predicted risk with the matching play attached.
- Alerts fire when risk climbs fast. Up to five thresholds you define, so a rising-risk account reaches your team while a retention play can still change the outcome.
- You review the model and we hand it off, with two rounds of changes and a recorded sixty-minute session for your team.
What you provide within 72 hours
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
- Read-only access to your product usage, support and billing data sources.
- Your retention playbook, including which play fits which kind of at-risk situation.
- At least three months of historical data for us to check the model against.
- The report's recipients and the delivery channel you want to use.
- Admin access and API keys for every connected system, shared by adding our team as a user or creating a key you control, never by email.
- Your business information (company basics, hours and brand voice), shared during intake.
- One decision-maker who can approve the prediction model and sign off on the report.
- An API key for your own AI model account (for example OpenAI or Google Gemini), created for this build with a spending limit.
The 72-hour rule. Send everything on your checklist, including access, within 72 hours of ordering so your build starts on time.
Timeline
Start
Intake verified, retention playbook agreed.
Weeks 1–2
Data connections built, prediction model drafted.
Week 3
Dashboard populated with live risk scores and matched plays.
Weeks 3–4
Predictions checked against three months of your historical data.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session, support starts.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $3,500 |
| Express | 15–25 working days | $4,100 |
| Rush | 10–20 working days | $4,750 |
What you receive at handover
- AI Churn Prevention configured and deployed, scoring every account
- Workflow, prompt and guardrail configuration, including your retention plays
- Read-only connections to up to three data sources
- One dashboard or recurring report in your chosen channel, plus up to five alerts
- A test report checked against three months of your historical data
- An admin guide, the recorded 60-minute handoff session and 30 days of post-launch support
Expected benefits and how to measure them
- Can give your team more time to save an account before it leaves.
- Helps retention work follow a consistent plan instead of guesswork.
- Gross churn rate
- Compare cancellations in billing for the two quarters after launch with the same quarters a year earlier.
- Retention plays run on alerted accounts
- Count plays logged in your CRM against each alert, monthly.
- Saved accounts
- Track alerted accounts that renew after a play, across the first two renewal cycles.
Before you start: Record your churn rate for recent quarters and how many cancellations came with no warning. List your current retention plays.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
Running costs
The build price is one-time. Afterwards, running the model is paid in your own accounts, chiefly AI model usage with light hosting or scheduler costs layered on, commonly $20 to $150 a month.
AI usage while we build and test is billed the same way, directly to your accounts, so ownership of every provider relationship stays with you. Nothing runs through us.
Ask about running costsCustom requirements
Want more data sources, more prediction signals, or a live write-back into your CRM? Add a note at checkout and expect a written Change Quote; that extra work waits for your go-ahead before it starts. Your original order runs to its normal timeline regardless. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, model and platform updates, a monthly health report and monthly hours for changes, room enough for a new retention play, a reweighted signal or a shifted alert. Your change hours scale with the build. It kicks in once the thirty days of support finish, bills monthly, and cancels on your schedule.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance worksHow this compares
| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A CS platform's churn prediction is bundled into a per-seat fee you already pay | A custom agency quotes after discovery calls | Ours is one fixed price, shown before you buy |
| Plays | A platform predicts risk but leaves the response up to you | An agency agrees scope during the project | Ours matches predicted risk to your own retention playbook |
| Delivery | A platform's model is available immediately but rarely trusted at first | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Validation | A platform's prediction is rarely checked against accounts you already know | An agency build depends on what was agreed | Ours is checked against three months of your real history |
| Alerts | A platform typically shows a score you have to remember to check | An agency build depends on what was agreed | Ours alerts on up to five rising-risk thresholds you choose |
Questions about this product
How much does AI Churn Prevention cost?
Each delivery speed has one fixed price. The price panel shows standard, express and rush side by side before you pay, and the cart confirms your delivery date. The price is fixed once your retention playbook and data sources are agreed, with no per-account pricing to track. Running costs of roughly $20 to $150 a month are separate and paid to your own providers.
What does AI Churn Prevention cost to run each month?
Roughly $20 to $150 a month, covering AI model usage and the hosting or scheduler that keeps predictions refreshing on schedule. You pay that directly to your own providers, in your own accounts. Monthly maintenance is optional if you want us managing changes.
How fast can AI Churn Prevention go live?
The clock starts once your intake is complete and verified. Your fixed delivery date for standard, express or rush is shown before you buy, and faster speeds keep the same scope, testing and handoff. Most of the time goes into loading your retention playbook and checking predictions against three months of history.
What access does AI Churn Prevention need to my systems?
Read-only access to your product usage, support and billing data, shared by adding our team as a user or creating a key you control, never by email. Nothing in your live systems is changed. We also need at least three months of historical data so predictions can be checked against outcomes you already know.
Can I add new retention plays after launch?
Yes. Two rounds of changes are included before launch, based on the test report. After that, a new retention play, a reweighted signal or a moved alert threshold fits inside the monthly change hours that come with maintenance. A new data source is a separate add-on.
Does AI Churn Prevention cost anything once the 30 days of support end?
No. The 30 days of post-launch support are included in the build price with nothing extra to pay. After that, monthly maintenance is optional, not required, and you can cancel it in any month once you trust the predictions without further tuning.
Who owns the AI Churn Prevention setup once it is built?
You do. It runs in your own CRM, helpdesk, billing and AI provider accounts, so nothing is tied to us to keep it working. If you ever move away from Upmark Labs, the prediction model, playbook mapping and every connection stay in your accounts, not ours.
Guides on this topic
All guides Match the right retention play before the account decides to leave.
Order AI Churn Prevention and rising-risk accounts are matched to the right retention play and flagged to your team while there is still time to change the outcome.
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