Quick answer — what goes in a GA4 weekly report
Five sections in a fixed order: a three-sentence executive summary, a traffic table broken down by channel group and device, the ten highest-traffic pages by sessions, your core conversion funnel with drop-off per step, and two or three insights that each name what happened, why it matters, and what you're doing next. Keep the whole thing to one screen, always show the week-over-week comparison, and lead with your interpretation rather than a raw dashboard.
Looking for something else? To build one specific report in GA4, see the GA4 custom report builder guide. For a standing view your team checks between sends, see the GA4 dashboard guide.
Every Monday morning, marketing operators everywhere open GA4, stare at a blank exploration, and think "wait, what am I actually supposed to send this week?" This page is the answer. It's a complete GA4 weekly report template — 5 sections, exact metrics, and the structure that makes executives actually read the thing. Copy the template, build it in GA4, send it Monday. No email gate, no PDF download dance, no "enter your details to unlock."
The template below is what we'd actually use. The second half of the page walks through how to build it in GA4 step-by-step, how to automate the weekly send, and the mistakes that turn good reports into Monday-morning noise.
Here's the full template. Five sections, in this exact order:
Three sentences, max. The numbers someone who only reads the first paragraph needs to know.
Example: "Sessions were up 12% (14,200 → 15,900) and conversions were up 8% (320 → 346). The biggest shift: paid search conversions grew 45% after the new landing page went live Tuesday."
A table, not a paragraph. This is the section stakeholders copy into their own reports.
Metrics to include:
Break down by:
Tip: highlight any row with greater than ±20% week-over-week change. That's your "something happened here" signal.
The 10 highest-traffic pages this week, sorted by sessions.
Columns:
Include a "movers" callout: the top 3 pages that grew or shrank most week-over-week. These reveal what content is working this week — and what isn't.
Your core conversion path, step by step.
Example structure:
For each step, show:
This is built via GA4's funnel exploration (see below). If your drop-off rate moved more than 5 percentage points on any step, flag it in the Insights section.
This is where the report becomes useful instead of just data. Three bullets, tops.
Structure each insight as:
Example:
If you don't have three insights, don't pad the list. One real insight beats three filler bullets.
The template translates into three explorations: a traffic table, a top-content table, and a funnel. Below is exactly which fields each one needs. If you're not already fluent in the Explorations workspace itself — importing dimensions, dragging fields into rows and values, applying segments — work through the GA4 custom report builder guide first, then come back here for the field lists.
Session default channel group, Device categorySessions, Total users, Engagement rate, Average session duration, Views per session, Key eventsExport to Google Sheets for formatting before you paste it into the email.
Page path and screen class, Page titleSessions, Engagement rate, Average engagement time per session, Key eventsSessions descending, limit to the top 10 rowsUse the Funnel exploration template rather than free-form:
page_view matching your landing page, then view_item, then begin_checkout, then purchase(no next action) share isn't automatically drop-off; with page or screen dimensions it can just mean the value didn't changeUse the Traffic Overview report. Grab the totals row and the biggest week-over-week mover. That's your three-sentence summary.
Write for someone who will give the report about a minute before their next meeting. That constraint, more than any style rule, is what shapes the decisions below:
Building the report once is useful. Rebuilding it every Monday is soul-draining. Three ways to automate it:
The cheapest option is the one already inside GA4, and most teams don't know it exists. If your report can be expressed as a standard or custom report in Reports > Library, an administrator can schedule it to email on a daily, weekly, monthly, or quarterly cadence, as PDF or CSV, for up to 50 standard or custom reports. Two constraints: it works on Reports, not Explorations, so the funnel section of this template can't ride along, and it sends the numbers without your commentary. Good for the traffic and content tables; not a whole weekly report on its own. Building the custom reports themselves is covered in the GA4 custom report guide.
Build the report in Looker Studio once, then schedule it to email itself every Monday at 9 AM. Looker Studio's scheduling is free and native, and unlike GA4's it can cover a multi-chart layout. The downside: Looker Studio reports are static PDFs — no interactive drill-down, and you can't change the commentary without rebuilding. See our GA4 to Looker Studio guide for setup.
Both options above deliver numbers on a schedule but still assume you write the interpretation yourself. If that's the part eating your Monday, see option 3.
This is where tools like Anomaly AI come in. Connect GA4 once, build the report, then schedule it: the report goes out on the cadence you set, as an email with the PDF attached and a generated narrative summary alongside it. The query, filters, and source data behind each number stay available to check, so you can verify a figure before it reaches a stakeholder. The Monday-morning blank page goes away and you edit a draft instead of assembling one.
Think of it this way: the template above is a recipe; automation is a kitchen. Looker Studio automates the "build charts" step. Anomaly AI automates the "write the insights" step. Most teams need both.
Executives don't want to interpret a 10-chart dashboard. They want your interpretation. The template's Executive Summary and Insights sections exist for a reason — don't skip them.
Engagement rate and bounce rate are opposites — bounce rate is the share of sessions that weren't engaged — so reporting both just spends two rows on one fact. Add total events, event count per user, average engagement time per active user, screen views per session, and you have dozens of metrics, most of them noise. Pick the 5-8 that drive decisions and drop the rest.
A number without a comparison is meaningless. "15,000 sessions" tells me nothing. "15,000 sessions, up 12% vs. last week" tells me a story. Always show the comparison.
GA4 distinguishes between users (unique people) and sessions (individual visits). Both matter for different questions. For traffic reports, sessions are usually what you want. For retention analysis, users. Label your columns so the reader doesn't have to guess.
If your property is large enough to trigger GA4 sampling on the Explorations view, your weekly numbers might be slightly off. For large properties, pair the report with BigQuery-sourced data — see our GA4 to Excel export guide for the BigQuery method.
The "Next Week's Focus" section from last week should be the opening of this week's report. If the action item was "test new paid search landing page," this week should open with "the test we ran last week — here's what happened." That's how weekly reports become a feedback loop instead of a Monday-morning ritual.
One page. If it doesn't fit in one email screen, it's too long. Executives skim. The executive summary is the only part most readers will read — if that's good, the rest is optional.
Put the report in the email body rather than behind an attachment or a link: body copy, two or three embedded tables, and short insights need no extra click, which is one fewer reason for the report to go unread. Keep attachments and dashboard links as the follow-on for readers who want to go deeper. If they need interactive drill-down, link to a standing dashboard at the bottom rather than expanding the email — the GA4 dashboard guide covers building one.
Partly, and it depends which part. GA4 can natively email standard or custom reports from Reports > Library on a daily, weekly, monthly, or quarterly schedule as PDF or CSV, but not Explorations and not your commentary. Looker Studio's scheduled email covers a full multi-chart layout. An AI tool like Anomaly AI can schedule the report and generate a narrative summary to go with it. For a full comparison, see our GA4 data analysis tools guide.
At minimum: sessions, users, engagement rate, key events (conversions), and a breakdown by channel group. Add top pages if content is a focus. Add funnel drop-off rates if conversion is a focus. Cap the total metric count at 8-10 — anything more becomes noise.
No. The full template can be built in GA4 Explorations + Google Sheets or Looker Studio for free. BigQuery is only needed if your property is large enough to hit sampling thresholds or if you want to join GA4 data with other sources (ad spend, CRM, etc.). For recurring cross-source reports, BigQuery or an AI tool that handles joins natively is the scalable path.
Tired of rebuilding this template every Monday? Get started with Anomaly AI — connect your GA4 property, ask "how did we do this week?" in plain English, and get a drafted summary you can edit instead of a blank page, then schedule the whole thing as a recurring email with the rendered PDF attached and a generated narrative summary alongside it. The source data and calculation behind every number stay open to check. Free tier, no credit card required.
Experience AI-driven data analysis with your own spreadsheets and datasets. Generate insights and dashboards in minutes with our AI data analyst.
Technical Product Manager, Data & Engineering
Ash Rai is a Technical Product Manager with 5+ years of experience building AI and data engineering products, cloud and B2B SaaS products at early- and growth-stage startups. She studied Computer Science at IIT Delhi and Computer Science at the Max Planck Institute for Informatics, and has led data, platform and AI initiatives across fintech and developer tooling.
Continue exploring AI data analysis with these related insights and guides.
Client reporting is where an agency's month quietly disappears. Here are the tools worth shortlisting in 2026, compared by the job that's actually slowing you down.
Your GA4, ad platforms, and spreadsheets disagree. Here are the best AI tools for marketing data analysis in 2026 — compared by the marketing job, not the hype.
Turn BigQuery-backed evidence into client-ready QBR PowerPoint slides with a slide matrix, source caveats, and a review-before-sending checklist.