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AI Adoption Monitoring
Feature adoption tracked per account, with guidance triggered automatically wherever usage falls behind.
Customers rarely cancel because of features they use. They cancel because they never adopted the ones that matter. This build tracks which features each account actually uses, compares it with the adoption you expect, and triggers guidance when an account falls behind. Your CSMs see who needs help this week, and you decide which features count and what the alerts say.
- Feature adoption tracked for every account, not just averages
- Guidance triggered when an account falls behind your benchmarks
- Alerts when an account's usage pattern changes
$2,900
20–30 working days
Optional maintenance $249/mo
What it is
AI Adoption Monitoring reads product usage data for every account, tracks which features each one has actually adopted, and triggers guidance when adoption falls behind. It reports to the one channel you choose and alerts you when an account's usage pattern changes. You define which features count as adopted.
Why businesses buy it
Low adoption is the quietest warning sign in a subscription business. By the time a customer says the product is not working for them, the renewal is already at risk. Most teams only look at adoption when someone builds a report by hand. This build watches every account continuously and points your CSMs at the ones that need guidance now. The written scope tells you which data sources connect, which features are tracked and how alerts reach you.
Problems this solves
Accounts pay for features they never actually use
AI Adoption Monitoring reads product usage for every account and tracks which features each one has adopted. Gaps show up in your dashboard or report, so guidance can follow.
A falling usage pattern is noticed only at renewal
Up to five alerts tell you when an account's usage pattern changes. A drop can reach your team months before renewal talks begin, while there is time to help.
Teams disagree about what adopted actually means
You define which features count as adopted, across up to 25 metrics. Everyone then works from the same definition, and the numbers are checked against three months of your history.
A good fit if
You know which features correlate with renewal and expansion, but no one is systematically checking which accounts have actually adopted them.
You want a recurring report or live dashboard showing adoption by account and by feature, sent to email, Slack or the web on the schedule you choose.
You want low-adoption accounts flagged automatically, with an alert sent before a renewal conversation, not discovered during one.
You can provide read-only access to your product usage and CRM data, your definitions of the features that matter, and at least three months of historical data.
Not the right fit if
You need actions taken directly on low-adoption accounts, such as an automated nudge or CSM task, not just a report of who is behind. See AI Customer Success Agent, which monitors accounts and runs success playbooks.
Your focus is specifically new customers finishing initial setup, not adoption across your whole existing base. See AI Customer Onboarding Agent, which guides new customers through setup milestones.
You want to understand feedback themes in what customers say about features, not usage numbers themselves. See AI Customer Feedback Intelligence, which groups feedback into themes.
You need more than three read-only data sources, more than twenty-five tracked metrics, or write-back into your product analytics tool. Add a note at checkout for a Change Quote, or use our Custom AI enquiry form for larger projects.
How it works
- We connect to your usage and account data. Mixpanel, Amplitude, HubSpot, Salesforce or Stripe, using read-only access so nothing in your product itself is touched.
- We define adoption with you. Which features matter for which plan or segment, up to twenty-five tracked metrics, agreed against your own product rather than a generic benchmark.
- We check the numbers against your history. Three months of your own usage data run through the report before launch, so adoption trends match what your team already sees informally.
- The dashboard or recurring report goes live, delivered to the one channel you chose, showing adoption by account and by feature.
- Alerts fire when adoption falls behind. Up to five thresholds you define, so a stalled account or a dropped feature reaches you before a renewal conversation, not during one.
- You review the report 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 and CRM data sources.
- Your own definitions of which features matter for adoption, by plan or by segment.
- At least three months of historical usage data for us to check the report 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 adoption definitions 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, adoption definitions agreed.
Weeks 1–2
Usage data connections built, dashboard layout drafted.
Week 3
Report or dashboard populated with your live adoption data.
Weeks 3–4
Results 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 | $2,900 |
| Express | 15–25 working days | $3,400 |
| Rush | 10–20 working days | $3,900 |
What you receive at handover
- AI Adoption Monitoring configured and deployed, reading your product usage data
- Workflow, prompt and guardrail configuration, including your definition of adoption
- Read-only connections to up to three data sources
- One dashboard or recurring report by email, Slack or web, 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
- Helps CSMs guide customers toward the features that matter most.
- Can give you earlier warning when an account starts to drift.
- Features adopted per account
- Read the average from the dashboard each month and compare it with the first month after launch.
- Accounts with a usage drop alert that recover
- Track how many alerted accounts return to their earlier usage within the following month.
- Renewal rate for low-adoption accounts
- Compare renewals for accounts flagged as low adoption before and after your team starts acting on alerts.
Before you start: Agree your list of key features and pull current adoption for each account. Note your renewal rate for the last two quarters.
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. Running the dashboard afterwards is paid in your own accounts, and for a reporting build like this it is mostly AI model usage plus light hosting or scheduler costs: roughly $20 to $150 a month for most customer success teams.
AI usage during the build and testing is also billed to your accounts, so you keep ownership of every provider relationship. Nothing runs through us.
Ask about running costsCustom requirements
If you need more data sources, more tracked features, or a live write-back into your product analytics tool, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order runs on its normal timeline either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
We recommend monthly maintenance: monitoring, fixes, and a monthly allowance of change hours, which covers a new tracked feature, a moved alert threshold or a redesigned chart. It starts after the thirty days of support, bills monthly, and can be cancelled any month.
$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 product analytics tool's adoption view is bundled into a seat fee you already pay | A custom agency quotes after discovery calls | Ours is one fixed price, shown before you buy |
| Definitions | A tool's adoption score uses its own generic weighting | An agency agrees scope during the project | Ours is built around your own feature definitions |
| Delivery | A tool is available immediately but rarely matches your plan structure | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Alerts | A tool typically shows a dashboard you have to remember to check | An agency build depends on what was agreed | Ours alerts on up to five thresholds you choose |
| Data sources | A tool's view is limited to its own product data | An agency build depends on what was agreed | Ours combines up to three of your systems in one view |
Questions about this product
How much does AI Adoption Monitoring 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 feature definitions 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 Adoption Monitoring cost to run each month?
Roughly $20 to $150 a month, covering AI model usage and the hosting or scheduler that keeps the dashboard 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 Adoption Monitoring 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 agreeing which features count as adopted and checking against three months of history.
What access does AI Adoption Monitoring need to my product data?
Read-only access to your product usage and CRM data, shared by adding our team as a user or creating a key you control, never by email. Nothing in your product itself is changed. We also need at least three months of historical usage data so adoption trends can be checked against what actually happened.
Can I change which features AI Adoption Monitoring tracks after launch?
Yes. Two rounds of changes are included before launch, based on the test report. After that, small changes such as a new tracked feature or a moved alert threshold fit inside the monthly change hours that come with maintenance. A new dashboard or extra data source is a separate add-on.
Does AI Adoption Monitoring 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, maintenance is optional, not required, and you can cancel it in any month once you are confident the adoption thresholds are set correctly.
Who owns the AI Adoption Monitoring dashboard once it is built?
You do. It runs in your own product analytics, CRM and AI provider accounts, so nothing is tied to us to keep it working. If you ever move away from Upmark Labs, the report configuration and every connection stay in your accounts, not ours, exactly as delivered.
Guides on this topic
All guides Find the accounts falling behind before renewal does.
Order AI Adoption Monitoring and feature adoption is tracked for every account, with alerts on the thresholds you set, so your CSMs reach low-usage customers while renewal is still a long way off.
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