Websites, Stores and Search
Generative engine optimization: how to get cited by AI search
What generative engine optimization really is, what the research shows, and a step-by-step plan to get your pages cited by AI search.
Operations
AI Ecommerce Analytics
Ask about sales, margins, cohorts and channels in plain language, and get a clear answer pulled straight from your store data.
Most store owners know the questions they want answered: which channel is profitable, which cohort is slipping, where margin went last month. Getting answers usually means exports and spreadsheets. This service lets you ask in plain language and answers from your own store data, using your own metric definitions. A dashboard or recurring report keeps the key numbers in view, with alerts when something moves.
- Plain-language answers about sales, margins, cohorts and channels
- Every number calculated with your own metric definitions
- Alerts the day a margin, channel or cohort moves
$3,500
20–30 working days
Optional maintenance $249/mo
What it is
AI Ecommerce Analytics answers plain-language questions about your store's sales, margins, cohorts and channels, reading data straight from your store platform and turning it into a dashboard or recurring report with alerts. It flags the numbers that need attention instead of leaving you to dig through raw exports.
Why businesses buy it
Decisions made on gut feel or month-old exports cost money quietly: ad spend on unprofitable channels, discounts that erode margin, cohorts that drift away unnoticed. Hiring an analyst is a big commitment, and generic dashboards rarely match how you define your numbers. This service gives you clear answers from your own data, in your own terms, and tells you when something changes. Read-only access keeps your store safe. The scope is written before you buy, so you know exactly which metrics and reports you get.
Problems this solves
Simple sales questions mean digging through raw exports
The service answers plain-language questions about sales, margins, cohorts and channels. It reads data straight from your store platform and up to two more read-only sources.
Important changes in the numbers go unspotted for weeks
Up to five alerts flag the numbers that need attention. You hear about a margin drop or channel shift when it happens, not at month end.
Each person on the team quotes different figures
Up to 25 defined metrics sit in one dashboard or recurring report. Everyone works from the same numbers, checked against three months of your history before launch.
A good fit if
You already have three or more months of order, product and customer data sitting in your store platform, and want it turned into answers instead of spreadsheets.
Your team asks the same handful of performance questions every week, such as which channel drives margin or which cohort is spending more this quarter.
You want a recurring dashboard or report plus up to five alerts, delivered to email, Slack or a web dashboard, instead of pulling reports by hand.
You're comfortable defining your own metrics and giving read-only access to your store, ads and email platforms rather than typing numbers in yourself.
Not the right fit if
You mainly want customers grouped into segments for targeting campaigns, not overall store performance. See AI Customer Segmentation, which is built for that job.
You want the actual text of product reviews analyzed for themes and quality issues, not sales numbers. See AI Review Intelligence.
You need recommendations, cart recovery, retention and analytics working together as one connected system, not a single dashboard. See AI Ecommerce Growth System.
You need more than 25 tracked metrics or more than three connected data sources. Add a note at checkout and we quote the extra scope, or start from our Custom AI enquiry form.
How it works
- You define the questions. Up to 25 metrics or recurring questions go in, such as margin by channel, repeat-purchase rate or which cohort is trending down, along with your own definitions for each one.
- Read-only access is connected. We link up to three of your data sources, drawn from platforms such as Shopify, WooCommerce, BigCommerce or Google Merchant Center, without ever writing back to your store.
- Three months of history are checked. Your past orders, catalog and customer data are run through every metric to confirm the numbers match your own before anything ships.
- A dashboard or recurring report is built. One dashboard or report is set up, covering sales, margins, cohorts and channels, plus up to five alerts for the moves that matter most.
- Alerts fire when a number moves. A margin drop, a channel slowdown or a cohort swing triggers an alert to your chosen channel, so you see it the day it happens, not at month end.
- You review it and we hand it off. Two rounds of changes refine the metrics and layout, then a recorded 60-minute session walks your team through reading and acting on it.
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 admin or API access to your store platform, such as Shopify or WooCommerce, and to any other connected data source.
- Your own definitions for the metrics and recurring questions you want answered, so the numbers match how your team already talks about the business.
- At least three months of historical order, catalog and customer data for us to test the dashboard against.
- Your shipping, returns and refund policies, so the reporting reflects how your store actually operates.
- The report recipients and the delivery channel you want to use, whether that's email, Slack or a web dashboard.
- 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 metric definitions and sign off on the finished dashboard.
- 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 and the metrics you want tracked are agreed.
Weeks 1–2
Data connections built and the dashboard or report structure configured.
Week 3
Alerts and the five-alert rule set wired to your chosen channel.
Weeks 3–4
Results checked against three months of your historical data.
Week 4
Your review and two rounds of changes to metrics and layout.
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 Ecommerce Analytics configured in your environment
- Read-only connections to your store platform and up to two other sources
- One dashboard or recurring report covering up to 25 defined metrics or questions
- Up to five alerts and a test report checked against three months of history
- An admin guide, a recorded 60-minute handoff and 30 days of post-launch support
Expected benefits and how to measure them
- Can save hours spent building reports by hand
- Helps the team agree on one set of numbers
- Makes it easier to react to changes while they still matter
- Time spent preparing reports
- Ask whoever builds reports to log hours for a month before launch and a month after.
- Alerts acted on
- Keep a simple log of alerts received and what was done, reviewed monthly.
- Questions answered without an export
- Count the recurring questions now covered by the dashboard against your original list.
Before you start: List the reports and questions your team handles each month and the time each takes.
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 costs roughly $20 to $150 a month, covering AI model usage plus hosting and scheduler fees, billed directly in your own accounts. Stores with more metrics or more frequent alert checks sit toward the top of that range.
AI usage during the build and testing is also billed to your accounts, so every provider relationship stays yours. Nothing runs through us.
Ask about running costsCustom requirements
If you need something outside the Scope Card, add a note at checkout. You get a written Change Quote, and that work only starts once you accept it. Your original order keeps its delivery date either way. Larger or bespoke projects go through the Custom AI request form instead.
Request a custom versionKeep it running
Monthly maintenance covers monitoring, fixes, updates, a health report and change hours for things such as adding a new metric, adjusting an alert threshold or rebuilding a cohort view. It starts after the 30 days of included support and can be cancelled any month; unused hours do not roll over.
$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 store-analytics app charges a monthly fee per store or per report | A data agency quotes after a discovery phase | Ours is one fixed price, shown before you buy |
| Scope | A dashboard app covers whatever metrics it ships with | An agency agrees the metric list mid-project | Ours is written on the Scope Card before purchase, up to 25 metrics |
| Delivery | A dashboard app is live once you finish setup yourself | An agency build usually runs several weeks, set per project | Ours has a fixed delivery time shown before you buy, with faster options |
| Alerts | A dashboard app usually needs you to go and check it | An agency build depends on what was scoped | Ours pushes up to five alerts to you the day a number moves |
| Data access | A dashboard app often needs its own re-import of your data | An agency build depends on what access was granted | Ours reads your existing store data directly, read-only |
Questions about this product
What is included in the AI Ecommerce Analytics build?
Up to three read-only data sources, up to 25 metrics or questions defined in your own terms, one dashboard or recurring report with up to five alerts, a check against three months of history, two rounds of changes and a recorded handoff session. The price is fixed and shown on this page before you order, so there is no surprise invoice later.
What does AI Ecommerce Analytics cost to run each month?
Roughly $20 to $150, covering AI model usage plus hosting and scheduler fees, paid directly in your own accounts rather than billed through us. Stores tracking closer to the full 25 metrics, or checking alerts more frequently, land nearer the top of that range than stores with a single lighter report.
How fast does AI Ecommerce Analytics go live?
On a fixed schedule shown before you buy, counted from a verified intake within 72 hours of your order. Express and rush delivery are both available if you need the dashboard running sooner, for example ahead of a board meeting or a peak trading period. Every metric is checked against your own history before launch.
What store access does AI Ecommerce Analytics need?
Read-only admin or API access to your store platform, such as Shopify, WooCommerce, BigCommerce or Adobe Commerce, plus any other data source you want connected, up to three in total. Credentials are shared by adding our team as a user or creating a key you control rather than email, and access is never used to write back to your store.
Can I add more metrics to AI Ecommerce Analytics later?
Yes, through monthly maintenance. Adding a new metric, adjusting an alert threshold, or rebuilding a cohort view all fit inside the monthly change hours. Going past the 25-metric scope in a single change is handled as a Change Quote, priced and agreed with you before the work starts.
Can I cancel maintenance for AI Ecommerce Analytics?
Yes. Plans bill monthly and can be cancelled any month, with no long-term contract attached. The dashboard keeps running on its own schedule either way; a plan simply covers the hours to change metrics, alerts or layout afterwards. Unused hours on any plan do not roll over to the next month.
Who owns the data and the dashboard once AI Ecommerce Analytics is live?
You do. The dashboard runs in your own accounts on connections you control, and you can revoke access at any time. We configure the workflow, prompts and guardrails during the build, but nothing about your store data, metric definitions or reporting depends on our systems staying involved after handoff.
Guides on this topic
All guides Stop digging through exports for answers you already need.
Order AI Ecommerce Analytics and your dashboard or recurring report goes live on a fixed delivery date, built around the metrics you actually track.
Works well with
Operations
AI Order Tracking Agent for BigCommerce
Gives customers proactive, accurate shipping updates, connected natively to BigCommerce so it reads and updates orders, shipments and customers.
Operations
AI Order Tracking Agent for WooCommerce
Gives customers proactive, accurate shipping updates, connected natively to WooCommerce so it reads and updates orders, order statuses, order notes and customers.
Operations
AI Order Tracking Agent for Shopify
Gives customers proactive, accurate shipping updates, connected natively to Shopify so it reads and updates orders, fulfilments, tracking details and customers.