How to Connect Campaign Cleaner to Excel (4 Methods Compared)

The Problem With Getting Sheet Data In and Out of Campaign Cleaner

You have an Excel workbook full of campaign drafts — HTML bodies, subject lines, sender configurations, send dates. You need to push those into Campaign Cleaner for analysis and pull the spam scores and deliverability grades back out before anything goes to an inbox.

Campaign Cleaner is good at catching the HTML patterns and content triggers that tank deliverability before a send. But getting a batch of campaigns through it from a workbook is not a one-click operation. The default path is: export each HTML snippet, paste it into the Campaign Cleaner UI, wait for the result, copy the score back, move to the next row. For 12 drafts that's 12 round trips.

Below are the four common ways teams handle this. Only the last one scales.

Method 1: Manual Export and Entry

For Excel users, the default flow usually starts with a CSV export or a copy from the workbook into a local text file, then into Campaign Cleaner's submission form — one row at a time. The data exists. The path between it and a deliverability score is just inconveniently long.

For a single high-priority campaign, you do it. It takes five minutes.

For 12 campaigns across three clients, the five minutes multiplies — and the risk of mixing up a row or writing a score to the wrong cell multiplies with it. The part that actually grinds people down is the context-switching: Excel on one screen, Campaign Cleaner on another, keeping track of which row you're on, re-reading the score before you type it into the wrong cell on the way back.

Method 2: Power Automate

Power Automate has Campaign Cleaner connector support. You can build a flow triggered on Excel table changes, or on a scheduled basis, that reads HTML from a column, calls the Campaign Cleaner API, and writes results back to the workbook.

Before you invest time here — a quick check. Are you comfortable with flow triggers, connector authentication, JSON response mapping, and async polling delays? If those concepts feel unfamiliar, Method 4 is a faster path to a spam score.

If you're still here, the build involves: picking the right Excel trigger, configuring the Campaign Cleaner action with your API credentials, handling the delay between submission and result availability, and then adding a second action to write the score and grade back to the correct row.

The flow works. The constraints are structural.

A trigger-per-row flow is not a bulk submission.

Running 12 campaigns through Power Automate means 12 separate trigger executions, 12 API calls, and a run history that becomes hard to debug when row 5 comes back with a 401 and the rest proceed without surfacing the failure.

You probably just need the spam scores before the send window closes Thursday afternoon. You probably have no idea how to configure the polling logic that Campaign Cleaner's async analysis requires. So you hand the build request to whoever on your team touches Power Automate, and now you're waiting while the schedule moves.

Once you need conditional logic — skip rows with empty HTML, cap submissions to available credits, flag anything that scores above a threshold — you're well past what a simple two-step flow handles.

Method 3: The Previous Generation — Connector Add-Ons

Until recently, the best option for repeatable workbook ↔ Campaign Cleaner workflows was a category of add-ons that let you configure column mappings and submission templates. You picked your HTML column, you tagged your result fields, you saved a config, you ran the batch.

That was a real improvement over manual export-and-entry. The output was consistent, the configuration was reusable, and someone could hand it to a non-technical colleague with a brief orientation.

But you were still responsible for the template design, the field mapping, the credit-cap logic, the conditional exclusions for worksheets with incomplete HTML. The add-on moved the data; the decisions about which data to move were still entirely on you. And when the workbook structure changed — a column renamed, a new worksheet added — the config silently broke until someone tracked down the mismatch.

This is the previous generation. It worked, but it required ongoing maintenance by someone who understood the original setup.

The Easy Way: Using SheetXAI in Excel

There is a different way entirely. SheetXAI is an AI agent that lives inside your Excel workbook. It reads the workbook, understands what you are looking at, and through its built-in Campaign Cleaner integration it can submit campaigns, fetch analysis results, and write scores back — all from a single prompt. No mapping template, no automation pipeline, no tab-switching.

Example 1: Submit all HTML drafts and capture campaign IDs

Submit each HTML snippet in column B (rows 2–13) to Campaign Cleaner as a separate campaign and write the returned campaign ID to column C

Each row is submitted in sequence, and the campaign ID that Campaign Cleaner returns lands in the matching column C cell — so when you come back to fetch results, every ID is exactly where you'd expect it.

Example 2: Fetch analysis results and write scores back

Fetch Campaign Cleaner analysis results for all 12 campaign IDs in column C and write the spam score and deliverability grade to columns D and E

The pattern: instead of alternating between submitting and checking, you do both in separate passes — submit the full batch, then pull scores in one operation. SheetXAI handles the ID lookups and column assignments inline.

Try It

Get the 7-day free trial of SheetXAI and open any Excel workbook with campaign HTML in a column, then ask it to submit the batch to Campaign Cleaner and write the results back. The Campaign Cleaner integration is included in every SheetXAI plan.