Analyst: the AI agent that reads your GA4 data

Not another dashboard. Analyst pulls your GA4 events every day, finds where shoppers drop off, and hands the findings to the agents that can act on them.

Most merchants have plenty of analytics and very little analysis. GA4 records everything and explains nothing; building a report is a project, and reading it is a habit almost nobody keeps. Analyst closes that gap by doing the reading. It queries your GA4 property daily, compares behaviour to previous periods, isolates the steps that are losing people, and writes up what changed in plain language — with the specific pages and segments attached.

From events to a decision

Analyst does not hand you a chart and wish you luck. It identifies the funnel step with the biggest absolute loss, checks whether it is a device problem, a traffic-source problem, or a page problem, and states what should change. When the fix is a page change, it goes to Builder. When it is a messaging change, it goes to Retention.

  • Daily funnel and drop-off analysis across device, channel, and landing page

  • Detection of pages that carry traffic but no revenue

  • Campaign and channel efficiency, including spend that is not converting

  • Anomaly alerts when a metric breaks its own trend, not just a fixed threshold

It knows what your store looked like last month

Analyst writes its findings to the shared memory layer, so it can compare today against the state of the store before a change shipped. That turns "conversion dropped" into "conversion dropped on mobile product pages three days after the template change" — which is an answer rather than a symptom.

Reporting that arrives without being asked

Weekly and monthly summaries are generated automatically: what moved, what caused it, what the team shipped, and what is queued next. They are written for a merchant, not for an analyst — no jargon, no unexplained metric names, and a clear separation between what is known and what is a hypothesis.

How it works

01

Connect GA4

Grant read access to your GA4 property. Analyst validates your e-commerce event setup first and flags anything that is mis-tagged before it starts drawing conclusions.

02

Set what matters

Tell it which conversions and segments count. Analyst weights its findings by revenue impact rather than by percentage change on small numbers.

03

Get findings, not dashboards

Each morning you get a short list of what changed and why, with the affected pages linked and the recommended owner already assigned.

What you get

  • A daily read of your funnel without building or maintaining a dashboard

  • Findings ranked by revenue impact, not by percentage swing

  • Bad tracking caught before it produces bad decisions

  • Fixes routed straight to the agent that can implement them

Frequently asked questions

Does Analyst need write access to GA4?

No. Read access is enough for analysis. If you want it to help repair a broken e-commerce event setup, it will produce the tagging changes for you to apply rather than modifying your property itself.

What if my GA4 tracking is incomplete?

That is the first thing it checks. Analyst audits your e-commerce events — view_item, add_to_cart, begin_checkout, purchase — and tells you what is missing or double-firing before it reports on funnel performance.

Can it work alongside my existing BI tool?

Yes. Analyst is not trying to replace a warehouse or a BI stack. It reads GA4 and writes findings; if you already have a BI tool, keep it and use Analyst for the daily read and the routing.

How far back can it look?

As far back as your GA4 property retains data. It also keeps its own record of findings and shipped changes, so trend comparisons survive even when GA4 retention windows expire.

Put the team to work on your store

Connect your storefront, analytics, and email stack, set a goal, and let the agents run the work end to end. Start on the free plan with your own model key.