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Pull Meta Audience Network Analytics Into Google Sheets

2026-05-13
4 min read
See the Excel version →

The Scenario

You are a monetization manager at a mobile app company. Your app earns revenue through the Facebook Audience Network — ads shown to users inside the app. Every month you report to the VP of Revenue with a breakdown of impressions, eCPM, fill rate, and estimated earnings for the past 30 days.

The report is due Wednesday morning. It is Tuesday at 4 PM.

The bad version of Tuesday afternoon:

  • Log into Meta Business Manager
  • Navigate to Audience Network — the dashboard is buried four clicks in
  • Set the date range to the last 30 days
  • Look for an export button — the Audience Network dashboard has limited export options
  • Download whatever it gives you, open in Excel, reformat to match your report template
  • Realize the date granularity is weekly, not daily — you need daily breakdowns
  • Go back, try a different export configuration, repeat
  • It is 6 PM and the report still does not match the template.

One prompt from the sheet and the data lands exactly where you need it.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent inside your Google Sheet that can query the Meta Ads Audience Network analytics API directly, so you pull daily monetization metrics into the sheet in the format your report requires.

Open the SheetXAI sidebar and type:

Fetch Meta Ads ad network analytics for our business for the last 30 days and write date, impressions, revenue, eCPM, and fill rate into columns A through E of this sheet. One row per day, sorted by date ascending.

SheetXAI queries the Audience Network analytics API, retrieves 30 days of daily data, and writes it into the sheet with your column headers. The VP of Revenue report is ready before you leave the office.

What You Get

A daily monetization breakdown ready for the report:

  • Column A — date (one row per day)
  • Column B — impressions
  • Column C — estimated revenue
  • Column D — eCPM
  • Column E — fill rate

Daily granularity is the difference between a report and a real analysis. Weekly numbers hide the day-of-week patterns that explain why Monday eCPM is always lower than Thursday eCPM. Daily data lets you have that conversation with the VP instead of just presenting totals.

What If the Data Is Not Quite Ready

Audience Network reporting has more dimensions than a single daily breakdown.

When you need data broken down by app (you have multiple apps under the business)

The business has three apps in the Audience Network. The VP wants a separate tab per app.

Pull Audience Network analytics for all apps under our Meta business for the last 30 days. For each app, write app name, date, impressions, revenue, and eCPM into a separate tab named after the app. Sort each tab by date ascending.

When the report needs a summary row alongside the daily breakdown

The VP's report template has a 30-day total row at the top followed by the daily detail below.

Fetch Audience Network analytics for the last 30 days with daily granularity. In row 1, write the 30-day totals for impressions and revenue, and the average eCPM and fill rate. Then starting from row 3, write the daily data with date, impressions, revenue, eCPM, and fill rate. Sort daily data by date ascending.

When you want to compare this month to last month side by side

The VP always asks about the month-over-month trend.

Fetch Audience Network analytics for the last 30 days and write date, impressions, revenue, and eCPM into columns A through D. Then fetch the 30 days before that and write impressions, revenue, and eCPM for that period into columns F through H. In column I, calculate eCPM change percentage between the two periods for each matched date.

When you need the full report: multi-app breakdown, daily data, totals, and trend comparison in one output

The quarterly review asks for everything in one sheet.

Pull Audience Network analytics for all apps under our Meta business for the last 90 days. Create one tab called 'Summary' with: total impressions, total revenue, average eCPM, and average fill rate per app, sorted by revenue descending. Create a second tab called 'Daily' with all apps combined: date, app name, impressions, revenue, and eCPM. Sort the Daily tab by date then by app name.

The pattern: instead of navigating the Business Manager dashboard and fighting its export options, you describe the report structure and SheetXAI builds it from the API.

Try It

Get the 7-day free trial of SheetXAI and ask it to pull Audience Network analytics into any Google Sheet you have open. The Meta Ads integration is included in every SheetXAI plan. For related work, see how to compare performance across multiple ad accounts or the Meta Ads in Google Sheets overview.

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