The Scenario
You are an email deliverability manager. Last week, your complaint rate spiked. Benchmark Email flagged two campaigns, your inbox placement dropped, and your marketing director wants an explanation before the next send.
You have 10 campaigns from the past month in an Excel workbook by campaign ID. You need to pull the abuse report data, find which campaigns drove the spike, and have a slide-ready summary ready for the director by Thursday at 11 AM.
It is Wednesday morning.
The slow version:
- Click into campaign 1 in Benchmark Email, navigate to abuse reports, write down the count
- Open the workbook, paste the number
- Repeat for all 10 campaigns
- Calculate complaint rates by hand
- Format everything
- It is 4 PM, you have raw numbers but no narrative, and Thursday is tomorrow.
The fast version is one prompt.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Excel workbook that pulls abuse report data from Benchmark Email and writes the analysis in the same step, so you do not have to collect data and think about it separately.
Open the SheetXAI sidebar and type:
Fetch Benchmark Email abuse report data for all campaign IDs in column A of my workbook and write campaign name, send date, abuse count, complaint rate, and total sends into columns B through F. Highlight any row where the complaint rate exceeds 0.1% with a note in column G. Then in a Summary tab, write a short paragraph explaining which campaigns drove the spike and what they have in common.
SheetXAI pulls the abuse data for every campaign, writes the stats, flags the outliers, and produces the narrative. You have the full picture by the time you finish your coffee.
What You Get
A complete abuse report table plus a narrative:
- Campaign name and send date — columns B and C
- Abuse count and complaint rate — columns D and E, with complaint rate calculated as a percentage
- Total sends — column F
- Flags in column G — "Above threshold" for any campaign over 0.1%
- Summary tab — a paragraph identifying which campaigns drove the spike and what they share
The complaint rate is calculated from the raw counts, not estimated.
What If the Data Is Not Quite Ready
When some campaign IDs return no abuse report data
Fetch abuse report data from Benchmark Email for all campaign IDs in column A. If a campaign has no abuse report data, write "No data" in column B and leave the rest blank. For campaigns with data, write campaign name, abuse count, complaint rate, and total sends into columns B through F.
When you need to compare this month's complaint rates to last month
Fetch abuse report data for all campaign IDs in column A. Write current stats into columns B through F. Write the average complaint rate into cell H1, and the average for the previous 30 days (from campaign IDs in the Previous tab column A) into cell H2. Write a comparison note in cell H3.
When you need to trace the spike to a specific segment
Fetch abuse report data for all campaign IDs in column A. Write campaign name, segment name (if available), abuse count, and complaint rate into columns B through E. Sort by complaint rate descending. In the Summary tab, note whether high-complaint campaigns share a common segment.
When you need the analysis plus three recommendations for the director
Fetch Benchmark Email abuse report data for all campaign IDs in column A. Write campaign name, abuse count, complaint rate, and total sends into columns B through E. Calculate the average in cell F1. Flag campaigns above 0.1% in column F. In the Summary tab, write what drove the spike and three concrete recommendations for reducing complaint rates on the next campaign.
The pattern: pull the forensics and the recommendations in one prompt. The director gets the story, not just the numbers.
Try It
Get the 7-day free trial of SheetXAI and open a workbook with Benchmark Email campaign IDs in column A, then ask SheetXAI to pull the abuse report data. The Benchmark Email integration is included in every SheetXAI plan. See also how to pull campaign engagement stats in Excel or the Benchmark Email in Excel overview.