BYOBot

Automate Google Analytics Without Code

Scheduled reports, anomaly alerts, channel digests, plain-English GA4 summaries: describe what you track and get a portable agent spec. First build free.

Weekly traffic report Alert on anomalies Explain a drop Channel digest to Slack Funnel drop-off Blend GA4 and Search Console
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Scheduled Reports
Pull the metrics that matter on a cadence and deliver a formatted report, so nobody logs into GA4 to rebuild the same view every Monday.
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Anomaly Alerts
Watch key metrics against their normal range and flag the moment traffic, conversions, or a channel moves in a way worth a look.
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Channel Digests
Summarize performance by source and campaign in plain language your whole team reads, not a wall of GA4 tables.
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Funnel Analysis
Trace drop-off step by step and name where users leave, so the next optimization targets the real leak.
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Cross-Source Blend
Join GA4 with Search Console, Ads, or a spreadsheet into one snapshot instead of four tabs that never agree.
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Plain-English Summaries
Turn a reporting period into a short narrative: what changed, why it likely changed, and what to do next.
Google Analytics (GA4) Looker Studio BigQuery Search Console Google Ads Google Sheets Slack Amplitude
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AI Chat Tool
Run it in any chat AI
Export a GA4 report and paste it into Claude, ChatGPT, or Gemini with a BYOBot spec to get the summary, the anomaly read, or the funnel analysis back. No OAuth required.
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Browser Agent
Agent reads your reports
A browser agent opens GA4, pulls the views you need, and assembles the report, without a data engineer wiring up the API first.
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Automation Stack
Fully automated reporting
Connect the spec to the GA4 API through your stack so digests and alerts fire on a schedule and land in Slack or email untouched.

Build Your First Analytics Agent

Describe the report or alert. Get a portable spec. Run it wherever your data lives.

$25 USD
S$34 SGD · 5 builds per pack · first build free
Build your analytics agent →
No account. No code. Works with GA4 and beyond.

GA4 holds the answer and hides it well. The data is all there, buried under an interface that assumes you already know which report, which dimension, and which comparison window tells the story. So the weekly update becomes a 40-minute ritual of rebuilding the same views, and the question every stakeholder keeps asking, "is that number good or bad and why," never quite gets answered. The reporting is mechanical. The interpretation is a pattern. Both are automatable.

BYOBot writes a portable spec for each analytics workflow: a structured file that defines the metrics, the comparison window, the thresholds, and the output format. Build the weekly-digest spec once and run it by pasting a GA4 export into a chat AI, pointing a browser agent at your reports, or connecting the GA4 API through your automation stack. You own the definition of "normal," so an anomaly alert reflects your business, not a generic default. It pairs naturally with reporting automation and the data analyst workflow set.

The highest-value first build is usually the recurring report you dread, because it runs every week and needs almost no judgment once the definition is set. From there, anomaly alerts and cross-source blends follow the same shape. If organic traffic is part of the story, blend GA4 with Search Console and hand the SEO side to the SEO workflow automation so the growth picture is one snapshot rather than a scavenger hunt across tools.

BYOBot automates the recurring, rule-based parts of working in GA4: scheduled reports by channel and page, anomaly alerts against a metric's normal range, plain-English channel and campaign digests, funnel drop-off analysis, and blends that join GA4 with Search Console, Ads, or a spreadsheet. If the task reads analytics data and produces a report, an alert, or a summary, it can become an agent.
Yes. Beyond pulling numbers, a BYOBot spec can compare the period against its baseline, segment by channel and page to isolate the driver, and write a short narrative of what moved and the likely cause. You get the interpretation a stakeholder asks for, not just a table they still have to read.
Anomaly automation watches the metrics you choose against their normal range and flags a move the moment it falls outside the band you defined. Because you set the thresholds, the alerts reflect your business rather than a generic default, so you hear about the drop that matters and not the Tuesday-morning dip that always happens.
Yes. The portable spec can source from GA4 directly, from a BigQuery export, or alongside Looker Studio and Search Console, then deliver to Slack, email, or a sheet. BYOBot maps the logic of the report, so the underlying data source is a choice rather than a constraint.
No. Paste a GA4 export into an AI chat tool for an instant summary, run a browser agent that opens GA4 and assembles the view, or connect the API through your automation stack for scheduled hands-off delivery. You can start with zero setup and add automation as you go.
Yes. Once the spec is wired into your automation stack, digests and alerts render on a schedule and post to Slack or email with no one opening GA4. The report shows up already written, which is the point: the team reads the story instead of rebuilding the view.