The Scenario
You're an email deliverability consultant. A client just handed you an 800-contact newsletter list — collected over two years from webinar registrations, content downloads, and a few co-marketing partnerships — and asked you to audit it before their next send. The client's ESP is showing a 19% bounce rate and their sending reputation is sliding.
You need to categorize every address as Deliverable, Risky, or Undeliverable, add the quality score, and produce a breakdown the client can actually read — not just a raw export. The audit needs to be done before the kickoff call tomorrow at 10 AM.
The bad version:
- Upload the contact list CSV to Kickbox's bulk UI, wait for the run, download results.
- Open the results file and the client's original sheet. Map the verdict rows back by email address.
- Build the tier summary counts by hand using COUNTIF formulas — after realizing the tier labels in Kickbox's export don't match what you told the client to expect.
You've done this workflow four times this quarter. Each time, the column-matching step costs you thirty minutes you don't have.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the contact list, calls Kickbox through its built-in integration, writes the tier labels and scores directly back into the sheet, and can produce a summary breakdown in the same pass.
Verify all emails in column A with Kickbox, bucket each into Deliverable, Risky, or Undeliverable based on the result field, write the tier label into column B and the sendex score into column C, and add a summary count by tier at the bottom of the sheet
What You Get
- Column B receives a human-readable tier label:
Deliverable,Risky, orUndeliverable— not the raw Kickbox result code. - Column C receives the
sendexquality score (0.00–1.00) for each address. - A summary table appends below the data showing the count and percentage in each tier.
- Your original columns D onward are untouched.
- Rows where Kickbox returns an error are flagged in column B so the client can see the exact count of unresolved addresses.
What If the Data Is Not Quite Ready
You need additional Kickbox fields beyond the basic tier — is_role_address, is_free_email, and is_disposable
Verify all emails in column A with Kickbox, write the tier label in column B, then add columns for is_role_address, is_free_email, and is_disposable using the Kickbox response fields, and sort the sheet so Deliverable rows appear first
The contact list has a column header in row 1 and data starts at row 2
Skip row 1 (it's a header), verify all emails in column A starting at row 2 with Kickbox, write the tier label in column B and the sendex score in column C
Contacts came from two co-marketing partners and are on separate tabs — 'PartnerA' and 'PartnerB'
Merge the email lists from column A on both the 'PartnerA' and 'PartnerB' sheets, deduplicate by email address, verify each unique address with Kickbox, write the tier label back to column B on whichever sheet it came from, and add a cross-sheet summary tab
Full pre-send audit: tier, flag role and disposable addresses, and produce a send/suppress recommendation
Verify all emails in column A with Kickbox, write Deliverable, Risky, or Undeliverable in column B, is_role_address in column C, and is_disposable in column D, then add a column E with a SEND or SUPPRESS recommendation — SUPPRESS if undeliverable, disposable, or a role address — and add a summary count at the bottom
The client gets a send-ready file, not a raw data dump.
Try It
Get the 7-day free trial of SheetXAI and open a client's contact sheet, then ask it to verify the list with Kickbox, tier every address, and produce a summary count. Then check out the suppression list spoke or the Kickbox hub for the full method comparison.