Growth
AI Marketing Analytics for HubSpot
Answers marketing performance questions across your analytics and ad platforms, connected natively to HubSpot so it reads marketing emails, campaigns, forms, contacts…
Growth
AI Marketing Analytics
Marketing performance questions get answered from your own analytics and ad data, on a schedule, without a manual report each week.
Simple marketing questions should not take a morning of exports and spreadsheets. This build reads your analytics and ad platforms directly and answers the questions you ask every week, such as which channels are growing and where conversions dropped, in plain English with the numbers behind each answer. Reports arrive on schedule, alerts flag surprises, and access stays read-only.
- Plain-English answers to your recurring marketing questions
- Analytics and ad platform data read together in one report
- Alerts when a metric moves outside your target range
$3,500
20–30 working days
Optional maintenance $249/mo
What it is
AI Marketing Analytics answers marketing performance questions by reading your analytics and ad platforms directly, then delivers a recurring report or dashboard with alerts when a metric moves outside your target range. It checks its own figures against three months of your history before launch. Answers come in plain English, backed by the numbers behind them.
Why businesses buy it
Most marketing teams spend hours each week assembling the same report, and by the time it is ready the moment to act has passed. Questions from leadership go into a queue because only one person knows where the numbers live. This build answers those questions from your own data, on schedule, and it checks its figures against three months of your history before launch, so the team can trust what it reads. The scope lists the data sources, metrics and alert rules before you order.
Problems this solves
Simple performance questions wait days for someone to pull numbers
It reads your analytics and ad platforms directly, up to three read-only sources, and answers your defined questions in plain English. The numbers behind each answer come with it.
Figures from different platforms disagree and nobody trusts them
Before launch, its figures are checked against three months of your history. Your team can see that the answers line up with numbers they already know.
A key metric slips outside target and nobody notices
Up to five alerts watch your target ranges and flag any metric that moves outside them. The warning arrives by email, Slack or the dashboard.
A good fit if
Your team spends hours each week pulling numbers from GA4, ad platforms and a spreadsheet into one report.
You have specific recurring questions, such as blended cost per lead or channel ROAS, that get asked every reporting cycle.
You already have at least three months of historical data to check answers against.
You want alerts the day a metric moves, rather than discovering it at the next scheduled report.
Not the right fit if
You only need a recurring report on ad campaign results and where to shift budget. See AI Campaign Analysis, the first step.
You need to know which specific touchpoints actually drove a conversion, not just channel-level totals. See AI Attribution Assistant, which models that.
You want the analytics used to actively run experiments and fix conversion leaks, not just report them. See AI CRO Agent, which designs and runs the experiments.
You need acquisition, activation and retention brought together into one weekly growth briefing. See AI Growth Intelligence, which is the broader system.
You need more than three data sources or more than one delivery channel. Add a note at checkout for a Change Quote, or start from our Custom AI enquiry form.
How it works
- Your data sources connect read-only. Up to three, such as GA4, Search Console, LinkedIn or Meta Ads, so it can see traffic, spend and conversions without ever changing a setting.
- The metrics you define become its vocabulary. Up to 25 recurring questions or KPIs, such as cost per lead or blended ROAS, get set once, matched against the terms your team already uses.
- It checks its own answers against your history. Three months of your historical data before launch, so figures match what you'd calculate by hand.
- A recurring report or dashboard goes out. Delivered to the one channel you choose: email, Slack or a live web dashboard.
- Up to five alerts watch for the moves that matter. A spend spike, a conversion drop or a channel underperforming its target, flagged the day it happens, not at the next report.
- You ask it follow-up questions directly. Inside the delivery channel, in plain language, and it answers from the connected data rather than a static snapshot.
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 you want connected.
- Your own definitions for the key metrics it should track.
- At least three months of historical data to check its answers against.
- The list of report recipients and which channel they should receive it on.
- 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 final metric definitions.
- 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, metric definitions and data sources agreed.
Weeks 1–2
Data connections built and the reporting pipeline configured.
Week 3
Alerts and the delivery channel set up.
Weeks 3–4
Answers 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 Marketing Analytics running with read-only access to your agreed analytics and ad platforms
- A recurring report or dashboard covering your defined metrics and questions, with up to five alerts
- Delivery to one channel: email, Slack or a web dashboard
- A test report showing results 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 give anyone on the team quick answers about performance
- Helps build trust in the numbers
- Makes problems visible while they are still small
- Time to answer a performance question
- Log when questions are asked and answered for a month before launch and a month after.
- Reporting hours
- Ask whoever prepares reports to log weekly hours either side of launch.
- Alerts acted on
- Review the alert log monthly and note which alerts led to a change.
Before you start: List the performance questions asked most often, who answers them and how long answers take today.
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 that keeps reports running on time.
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, a second delivery channel, or metrics defined in 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. It covers monitoring, fixes, model and platform updates, a monthly health report and a monthly allowance of change hours for changes such as new metrics or an updated alert threshold. 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 | An analytics dashboard tool charges a monthly seat fee regardless of use | A reporting agency quotes a monthly retainer | Ours is one fixed price, shown on this page before you buy |
| Scope | A dashboard tool shows whatever data you connect, unfiltered | An agency agrees scope during the project | Ours is written on the Scope Card, up to 25 metrics |
| Delivery | A dashboard tool can connect in a day but needs building out | An agency usually takes several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Answers | A dashboard tool shows charts, you still interpret them | An agency build depends on what was agreed | Ours answers your specific recurring questions directly |
Questions about this product
Does AI Marketing Analytics change my ad campaigns automatically?
No. It reads your analytics and ad platforms on a read-only basis and reports what it finds; it never edits a budget, a bid or a campaign setting. Any action based on its findings, such as pausing an underperforming channel, stays a decision your team makes and executes.
What does AI Marketing Analytics 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 reports. You pay that directly to the provider. Monthly maintenance is optional, and its price is shown on this page. We charge nothing extra per report delivered.
How fast can AI Marketing Analytics 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 data access, metric definitions and historical data are confirmed, so a complete intake is the best way to keep the build on schedule.
Which data sources can it connect to?
Up to three read-only sources from your stack, typically GA4, Search Console and an ad platform such as LinkedIn or Meta. You choose the three that matter most during intake. A fourth source is available as an add-on or through a Change Quote if your setup needs it.
Where does AI Marketing Analytics sit among the marketing analytics builds?
It is the second of four steps. AI Campaign Analysis reports on ad results and budget shifts. AI Marketing Analytics answers questions across your analytics and ad data. AI Attribution Assistant shows which touches contributed to pipeline. AI Growth Intelligence adds a weekly briefing from acquisition to retention.
Can I add more metrics or alerts later?
Yes. Small additions, such as a new metric definition or an adjusted alert threshold, fit inside the monthly change hours included with maintenance. A fourth data source or a second delivery channel is scoped and quoted separately as a Change Quote before that work starts.
Do I need three months of history before I order this?
Yes, at least three months of historical data across the sources you want connected. That history is what your answers get checked against before launch, so the figures match what you would calculate by hand. Less than three months usually means a shorter validation window during testing.
Who owns the reports and dashboards it builds?
You do. The dashboard, the report template and the metric definitions belong to your business once delivered, and they keep running in your own connected accounts. There is no license fee tied to viewing a report after launch, only optional monthly maintenance for ongoing changes.
Stop rebuilding the same report by hand.
Order AI Marketing Analytics and get clear answers from your own marketing data, every week, without the manual report. Data sources and metrics are agreed in writing first.
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