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NeverBounce · Excel Guide

Pull NeverBounce Job Results Into Excel and Analyze by Domain

2026-05-14
5 min read

The Scenario

The NeverBounce job finished. You have 25,000 results. But the question the growth team actually wants answered isn't "how many were valid" — it's "which domains are killing our deliverability?" They suspect a handful of corporate domains are returning hard bounces at a high rate, and they want to know before they spend on another outreach push to those same companies.

The job results are sitting in NeverBounce, paginated across dozens of API pages. The Excel workbook that triggered the job is still showing the original 25,000 email addresses, no statuses, no domain breakdown.

The bad version:

  • Download the NeverBounce result CSV
  • Import it into a new worksheet
  • Write a formula to extract the domain from each email address
  • Build a pivot table grouping by domain and counting by status
  • Sort by invalid count to find the worst offenders
  • Copy the pivot output into a slide for the growth meeting

It's a Sunday afternoon and the growth sync is Monday at 9. You did not plan to spend Sunday building pivot tables from a NeverBounce CSV.

This analysis should take five minutes, not two hours.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent that lives inside your Excel workbook. It reads your workbook and through its NeverBounce integration it can pull all paginated job results and build the domain breakdown directly in the workbook.

Retrieve all results from NeverBounce job ID [JOB_ID] and write each email, its verification status, and its free_email flag into columns A, B, and C of this worksheet — then add a summary table below showing count and percentage per status type and a second summary showing valid rate per email domain sorted by invalid count descending

What You Get

  • Columns A, B, C filled with email address, status, and free_email flag — one row per result, all pages fetched
  • A status summary table below the data with count and percentage per status type
  • A domain-level breakdown sorted by invalid count descending, so the worst-performing domains are at the top

What If the Data Is Not Quite Ready

You only want the domain summary, not all 25,000 rows in the workbook

Pull all results from NeverBounce job ID [JOB_ID] but only write the domain-level summary into this worksheet — columns: domain, total, valid, invalid, catchall, valid_rate — sorted by invalid count descending, skipping any domain with fewer than 5 addresses

You want to cross-reference the domain results against your CRM account list in another worksheet

Retrieve all results from NeverBounce job [JOB_ID], compute valid rate by domain, then look up each domain in column A of the "Accounts" worksheet and write the matching valid rate into column B of "Accounts" where the domain matches

The job has too many pages to pull manually and you need a sample first

Fetch the first 5,000 results from NeverBounce job ID [JOB_ID], write email, status, and free_email into columns A–C, and add a domain summary below — note in cell E1 that this is a 5,000-row sample

Full analysis chain: fetch all results, flag bad domains, output a decision column

Pull all paginated results from NeverBounce job [JOB_ID] into this workbook, add a domain column in D extracted from column A, build a domain summary showing invalid rate per domain, then add a column E labeled "Suppress Domain" — mark it TRUE for any domain where the invalid rate exceeds 15%

The pattern: describe the analysis alongside the data fetch. SheetXAI pulls the pages and builds the view you need in one pass.

Try It

Get the 7-day free trial of SheetXAI and open the Excel workbook from your last NeverBounce run. Ask it to pull all results from the completed job and add a domain-level invalid-rate table below the data. See also the bulk verify spoke to start the job from scratch, or return to the NeverBounce hub.

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