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AI CRO Agent
Conversion leaks get ranked by lost revenue across your funnel, each paired with a tested experiment to fix it.
Every funnel leaks somewhere, and the biggest leak is rarely where people guess. This build reads your analytics with read-only access, finds where visitors drop off from first visit to purchase, and ranks each leak by the revenue it costs you. For each one it designs a clear experiment with a hypothesis and success metric, and nothing runs without your approval.
- Conversion leaks ranked by the revenue they cost you
- A ready-to-run experiment design for each leak
- Every experiment approved by your team before launch
$3,500
20–30 working days
Optional maintenance $249/mo
What it is
AI CRO Agent finds conversion leaks across your whole funnel, ranks them by lost revenue, and designs a testable experiment for each one, with hypotheses checked against three months of your own data before anything is proposed. Nothing goes live until you approve it.
Why businesses buy it
Most teams test whatever someone suggested in the last meeting, so effort goes into small fixes while the real leak keeps draining sales. Ranking leaks by lost revenue changes that: the team works on the problem worth the most first, with a clear hypothesis and a way to measure success. Hypotheses are checked against three months of your own data, so proposals rest on evidence. The scope lists the data sources, experiment limits and approval rules before you order, so you know exactly what you are buying.
Problems this solves
Conversion fixes are chosen by whoever argues most loudly
The agent ranks conversion leaks across your funnel by estimated lost revenue, using your own data. The biggest problems rise to the top, so effort goes where it can matter most.
Leaks between funnel steps go unseen for months
It reads up to three data sources covering your whole funnel, not just one page. A recurring report and up to five alerts show where people drop out between steps.
Experiments are launched without a clear hypothesis
Each leak comes with a testable experiment and a hypothesis checked against three months of your data. Nothing goes live until you approve it, so experiments start with a clear purpose.
A good fit if
You suspect you're losing conversions somewhere in the funnel but aren't sure which step matters most.
You want experiments prioritized by actual revenue impact, not by whichever team member has the loudest opinion.
You can connect GA4 and your CMS as read-only data sources across the funnel, not just one page.
You're comfortable approving an experiment queue rather than testing everything one idea at a time.
Not the right fit if
You only want one specific landing page analyzed and tested, not the whole funnel. See AI Landing Page Optimization, which is scoped to a page.
You want to know which channels get credit for conversions rather than which funnel steps leak them. See AI Attribution Assistant, which models channel credit.
You want a lighter way to log and track experiments your team is already running, without the leak-finding and ranking. See AI Growth Experiment Agent.
You need more than three connected data sources or more than five live experiments at once. Add a note at checkout for a Change Quote, or use our Custom AI enquiry form.
How it works
- The whole funnel is mapped, not one page. From first visit through to purchase or signup, using the data sources you connect such as GA4 and your CMS.
- Leak points are ranked by lost revenue. So a checkout step losing 2 percent of buyers is weighed against a landing page losing 40 percent of visitors, and the bigger opportunity surfaces first.
- An experiment is designed for each leak. A specific, testable change, a hypothesis for why it should work, and the metric that will prove it either way.
- Every hypothesis is checked against three months of your own data. Before it is proposed, so experiments are grounded in your actual funnel, not a generic playbook.
- You approve the experiment queue before anything runs. Up to five live experiments at a time, sequenced by expected impact.
- Outcomes are reported as a decision, not just a number. Ship it, kill it or iterate again, delivered to the channel you chose.
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 each data source across your funnel.
- Your own definitions of the conversion steps and metrics that matter.
- At least three months of historical funnel data to test hypotheses against.
- The report recipients and the channel the experiment queue should reach.
- 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 experiment queue.
- 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, funnel steps and conversion goals agreed.
Weeks 1–2
Funnel data connected and leak analysis built.
Week 3
First experiment queue drafted and alerts configured.
Weeks 3–4
Hypotheses checked against three months of your historical data.
Week 4
Your review and two rounds of changes.
Go-live
Live, recorded handoff session, 30 days of 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 CRO Agent running with read-only access to your agreed funnel data sources
- A ranked list of conversion leaks, each with a designed experiment (recommendations for your approval)
- A recurring report or dashboard with up to five alerts, delivered to email, Slack or a web dashboard
- A test report showing hypotheses checked against three months of your historical data
- An admin guide and recorded handoff session
- 30 days of post-launch support
Expected benefits and how to measure them
- Can focus conversion work on the leaks costing you most
- Helps experiments start with a clear question
- Makes funnel problems visible earlier
- Step-by-step funnel conversion
- Compare conversion between each funnel step in your analytics for the quarter before and after launch.
- Experiments with a stated hypothesis
- Review your experiment log and count those with a written hypothesis, before and after.
- Revenue from fixed leaks
- For each approved fix, compare revenue at that funnel step for matching periods before and after the change.
Before you start: Export three months of funnel data and list the experiments run last quarter with their outcomes.
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 it costs roughly $20 to $150 a month in your own accounts, covering AI model usage and the hosting or scheduler behind the analysis.
AI usage during the build and testing is billed the same way, in your own accounts, so every provider relationship stays yours.
Ask about running costsCustom requirements
If you need a fourth data source, more than five live experiments at once, or a funnel that spans more than one language, add a note at checkout for a written Change Quote. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
After launch, monthly maintenance keeps the build current as your business changes: monitoring, fixes, model and platform updates, a monthly health report and monthly hours for changes such as a new experiment added to the queue. It starts after the post-launch support period, 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 CRO platform charges a monthly fee based on traffic tier | A CRO agency quotes a monthly retainer | Ours is one fixed price, shown on this page before you buy |
| Scope | A CRO platform runs the tests you design yourself | An agency agrees scope during the project | Ours is written on the Scope Card, up to five live experiments |
| Delivery | A CRO platform installs quickly but needs a strategist to use it well | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Prioritization | A CRO platform doesn't rank what to test first | An agency build depends on what was agreed | Ours ranks every leak by lost revenue automatically |
Questions about this product
Does AI CRO Agent run experiments without approval?
No. It designs each experiment with a hypothesis, the change involved and the metric that will decide the outcome, then you approve the queue before anything runs live. Up to five experiments run at a time, sequenced by expected impact, and nothing reaches visitors without that sign-off.
What does AI CRO Agent cost to run each month?
Roughly $20 to $150 a month in your own accounts, covering AI model usage and the hosting or scheduler behind the analysis. You pay that directly to the provider. Monthly maintenance is optional. We charge nothing extra per experiment run.
How fast can AI CRO Agent go live?
Delivery follows the fixed timeline shown in the delivery panel, counted from a verified intake. Express and rush options are available for a fee. The clock starts once your funnel data, conversion goals and history are confirmed, so a complete intake is the best way to keep the build on schedule.
How does it decide which leak to fix first?
It ranks every leak point by the revenue it's estimated to be costing you, so a checkout step losing a small percentage of high-value buyers can outrank a page losing a larger share of low-intent visitors. That ranking is checked against three months of your own funnel data before anything is proposed.
Can it test more than one part of the funnel at once?
Yes, up to five live experiments at a time across different funnel steps, sequenced by the impact ranking. Each one is tracked independently, so a landing page test and a checkout test can run in parallel without their results getting mixed together.
Can I add more experiments or data sources later?
Yes. Adding an experiment to the queue within your existing five-slot limit fits inside the monthly change hours in maintenance. A fourth data source or a higher experiment ceiling is scoped and quoted separately through a Change Quote before that work starts.
What happens if an experiment's hypothesis is wrong?
That's a valid result, not a failure. Outcomes are reported as a clear decision, ship it, kill it or run a follow-up test, with the reasoning behind the call, so a disproven hypothesis still moves the next experiment forward rather than sitting unresolved.
Who owns the experiment results and funnel data?
You do. Every hypothesis, result and winning variant belongs to your business, running in your own connected accounts. There is no license fee for keeping a winning change live after launch, only optional monthly maintenance if you want new experiments added for you.
Find your biggest conversion leak first.
Order AI CRO Agent and fix the conversion leak that costs you the most, first. Data sources and approval rules are agreed in writing before you pay.
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