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Understanding summary row

Explains how the summary row aggregates key metrics and its availability.

Igor Simovic avatar
Written by Igor Simovic
Updated over 3 weeks ago

Summary

The summary row provides instant totals and averages for all visible campaigns, ad sets, or ads in your table. It helps you understand overall performance at a glance. Located at the bottom of the table, it updates automatically based on current filters and visible columns.

How It Works

The summary row is a fixed footer that calculates totals and averages based on all visible rows. It respects filters, date ranges, and column visibility.

  • Summed metrics include Spend, Revenue, Impressions, Clicks, etc.

  • Averaged metrics use weighted averages — like CTR, ROAS, CPC, CPM.

  • Some columns do not show summaries — like status, names, results, or IDs.

It always stays visible when scrolling, and updates in real time.

Before You Begin

  • Ensure campaigns are visible in your current view

  • Summary only reflects visible rows and filtered data is excluded

  • Some columns do not support summarization

Viewing the Summary Row

  • Find it at the bottom of the table

  • Look for the row labeled "Campaigns: XX or ad sets/ads"

  • It remains fixed when scrolling vertically

Reading Summary Values

  • Summed metrics examples:

    • Spend, Revenue, Impressions, Clicks, Conversions

  • Averaged metrics examples:

    • CTR = Total Clicks / Total Impressions

    • CPC = Total Spend / Total Clicks

    • ROAS = Total Revenue / Total Spend

    • CPM = (Total Spend / Total Impressions) × 1000

  • Non-summarized columns examples: Names, IDs, Status, Result column, Platform

Using Summary Row for Analysis

  • Quick checks: Total spend, total conversions, overall ROAS

  • Filtered comparison: Compare results between Draft vs Published

  • Completeness: Use row count to confirm all expected data is included

Understanding Summary Calculations

  • Weighted averages ensure large campaigns influence the result correctly

  • Zeros are included in totals; missing/null values are excluded

  • Divide-by-zero results show as "—"

Use Cases / Troubleshooting

  • Reviewing spend across multiple ad accounts

  • Seeing performance impact after applying filters

  • Catching errors in filters by reviewing row count

  • Comparing performance over two date ranges

FAQs

Q: Why do some columns not show values?

A: Columns that don’t support aggregation, like status, name, ID, or results, won’t display summary values.

Q: Does it include hidden rows?

A: No. It only reflects rows currently visible after filters are applied.

Q: Why is ROAS different from an average?

A: It uses weighted logic, total revenue divided by total spend.

Q: How do I confirm everything is counted?

A: Check the label that says "Summary of X campaigns/ad sets/ads", it reflects the count of visible rows.

Q: Does it update automatically?

A: Yes. Any changes to filters, columns, or date ranges immediately update the summary row.

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