Your AI Email Marketing Agent Does the Busywork

List segmentation, campaign reporting, A/B test analysis, and re-engagement. Describe the task in one sentence, the agent does it across your apps.

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EMAIL MARKETING AGENT

Clean your list of bounced and inactive contacts

Build a segment from people who clicked but didn't buy

Write five subject line options for your next campaign

Read your latest A/B test and call the winner with confidence

Map out a welcome series for new subscribers

Assemble the weekly email performance report without opening a tab

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Any Email Task. One Message. Done.

Segments to build, subject lines to test, a report due in ten minutes. Tell the AI Email Marketing Agent what you need and it works across your email tool, Sheets, Slack, and 1,500+ apps.

Get Work Done With Simple Chat Messages

Pull the full subscriber list from your email tool. Flag every contact that has hard bounced, marked spam, or hasn't opened an email in the last 6 months. Group them into 'remove now' (hard bounces and spam complaints) and 'win-back candidate' (inactive but valid). Log both groups in the 'List Hygiene' tab in Google Sheets with the reason and last activity date. Post a summary of the cleanup with counts to the marketing channel in Slack.||

List hygiene complete. 1,284 contacts flagged across 2 groups.

List Hygiene Report — Jun 10

Group	Count	Reason	Action
🔴 Remove now	412	Hard bounce	Suppress immediately
🔴 Remove now	87	Spam complaint	Suppress immediately
🟡 Win-back candidate	631	No open in 6 months	Add to re-engagement flow
🟡 Win-back candidate	154	No click in 9 months	Add to re-engagement flow

Summary: 499 contacts should be suppressed now to protect your sender reputation. 785 inactive but valid contacts are worth one re-engagement attempt before removal. Cleaning the 499 immediately should lift your average open rate by an estimated 3 to 5 percent. Re-engagement flow recommended for the win-back group.

👇 Here's what your team could do with a single message.

1.Clean your list of bounced and inactive contacts

2.Build a segment from people who clicked but didn't buy

Look at the last campaign in your email tool. Find every contact who clicked a link but did not complete a purchase, checked against the orders in your e-commerce tool or CRM. Build a new segment in your email tool called 'Clicked, No Purchase' from that list. Add the segment members to a tab in Google Sheets with the link they clicked and the date. Post the segment size to the marketing channel in Slack.

3.Find duplicate and malformed contacts dragging down your list

Pull the subscriber list from your email tool. Find duplicate email addresses, obvious typos in domains (like gmial.com or gmai.com), and entries missing a first name or with placeholder values. Group the issues by type and log them in a 'Data Quality' tab in Google Sheets with a suggested fix for each. Post the count of fixable records to the marketing channel in Slack.

1.Write five subject line options for your next campaign

Take this campaign brief: [paste brief]. Pull open rates from your last 10 campaigns in your email tool to see which subject line styles worked best for this audience. Write 5 subject line options in different angles (curiosity, benefit, urgency, question, personal). For each, note the predicted angle and why it fits this audience. Add them to a 'Subject Lines' tab in Google Sheets and post the top 3 to the marketing channel in Slack for a quick vote.

2.Draft a full campaign email from a one-line brief

Take this brief: [paste brief and target segment]. Search your past campaigns in your email tool for the tone and structure that performed best with this segment. Draft a complete campaign email with a subject line, preheader, body copy, and a clear call to action. Match the brand voice from previous high-performing sends. Save the draft to a Google Doc and post the link to the marketing channel in Slack for review.

3.Repurpose a blog post into a newsletter send

Take this blog URL: [paste URL]. Visit the page and pull the key points. Write a newsletter-style email that summarizes the main takeaways, adds a short intro in the brand voice, and ends with a call to action linking back to the full post. Keep it scannable with short paragraphs. Save the draft to a Google Doc and send it to the content lead via Gmail for sign-off.

1.Read your latest A/B test and call the winner with confidence

Pull the results of the most recent A/B test from your email tool. Compare open rate, click rate, and conversions for each variant. Run the math on whether the difference is actually significant or just noise given the sample size. Write up the winner, the lift, and whether you can trust it. Log the result in an 'A/B Tests' tab in Google Sheets and post the verdict to the marketing channel in Slack.

2.Diagnose why your open rates suddenly dropped

Pull open rates for the last 8 campaigns from your email tool. Flag the point where they started declining. Check whether the drop lines up with a list growth spike, a sender change, a subject line pattern, or a send-time change. Search the web to confirm there's no major inbox provider change in that window. Write up the likely cause and a fix, log it in Google Sheets, and post the finding to the marketing channel in Slack.

3.Spot-check inbox placement before a big send

Before the next major campaign, check the email for common spam triggers: spammy words in the subject, a bad text-to-image ratio, missing alt text, and broken or shortened links. Verify the sending domain has SPF and DKIM noted in your records sheet. Flag every issue with a suggested fix in a 'Pre-send Check' tab in Google Sheets and post a go or no-go summary to the marketing channel in Slack.

1.Map out a welcome series for new subscribers

Look at how new subscribers behave in your email tool over their first 30 days. Design a 4-email welcome series with the goal, timing, subject line, and body copy for each email. Base the content on what your best-performing onboarding emails already do. Save the full series plan to a Google Doc and post the outline to the marketing channel in Slack for feedback before you build it.

2.Write a win-back campaign for subscribers who went quiet

Pull the segment of subscribers who haven't opened an email in 4 months from your email tool. Write a 3-email win-back sequence: a 'we miss you' email, a value or offer email, and a final 'last chance before we remove you' email. Personalize the angle based on what they last engaged with. Save the sequence to a Google Doc and post it to the marketing channel in Slack for review.

3.Build a re-engagement plan from your inactive segment

Pull every contact in your email tool with no opens in the last 90 days. Group them by how they originally signed up and what they last clicked. For each group, suggest a re-engagement angle and the best email to send. Log the plan in a 'Re-engagement' tab in Google Sheets and post the group sizes and recommended angles to the marketing channel in Slack.

1.Assemble the weekly email performance report without opening a tab

Pull every campaign sent in the last 7 days from your email tool. For each, grab sends, open rate, click rate, unsubscribes, and revenue where available. Compare against the rolling 4-week average in Google Sheets and flag anything notably up or down. Write a short summary of the wins and concerns. Update the reporting tab in Google Sheets and post the weekly report to the marketing channel in Slack.

2.Break down which campaigns actually drove revenue

Pull all campaigns from the last 30 days from your email tool. Match each send to revenue using the orders in your e-commerce tool or CRM. Calculate revenue per email, revenue per send, and which segment converted best. Rank the campaigns by revenue and flag the lowest performers worth cutting. Update the 'Revenue by Campaign' tab in Google Sheets and post the top and bottom performers to the marketing channel in Slack.

3.Build the monthly email channel summary for leadership

Pull last month's total sends, average open and click rates, list growth, unsubscribe rate, and attributed revenue from your email tool. Compare against the previous month and the same month last year in Google Sheets. Draft a one-page summary in Google Docs with the key trends, best campaign, and areas to fix. Email it to the marketing lead via Gmail.

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Set It Once. Your Email Marketing Runs Itself.

List cleaning, deliverability checks, weekly reports, A/B verdicts. Running on schedule and on trigger whether you're at your desk or out of office.

Automate recurring processes in 30 seconds.

Send the weekly email performance report before standup

When this happens...

App

Clock

When

Every Monday at 09:00 AM

Then do this...

👇 No workflow builder. Set it up in plain English.

Send the weekly email performance report before standup

Every Monday at 09:00 AM

Pull every campaign sent in the last 7 days from your email tool. Grab sends, open rate, click rate, unsubscribes, and revenue for each. Compare against the rolling 4-week average in Google Sheets and flag anything notably up or down. Write a short summary of wins and concerns. Update the reporting tab in Google Sheets and post the report to the marketing channel in Slack.

Read every A/B test the moment it finishes and call the winner

When a campaign finishes sending in your email tool

When an A/B test campaign completes, pull the results from your email tool. Compare open, click, and conversion rates per variant and run the math on whether the difference is significant given the sample size. Log the verdict in the 'A/B Tests' tab in Google Sheets and post the winner, the lift, and whether to trust it to the marketing channel in Slack.

Clean bounced and complained contacts every morning

Every weekday at 07:00 AM

Check your email tool for any contacts that hard bounced or filed a spam complaint in the last 24 hours. Add them to the suppression list and log each one in the 'List Hygiene' tab in Google Sheets with the reason. If more than 20 complaints came in overnight, post an alert to the marketing channel in Slack since that signals a deliverability problem.

Welcome every new subscriber the moment they sign up

When a new subscriber is added to your email tool

When a new subscriber joins, check which signup source they came from. Pull the right welcome email variant for that source and queue it to send. Log the new subscriber and their source in the 'New Subscribers' tab in Google Sheets so you can track which sources convert best over time.

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Email Playbooks Anyone on Your Team Can Run

List cleanup, campaign launches, win-back sequences, monthly reviews. Same process, same rigor, every single time.

Complete repetitive processes in clicks

Run a full list cleanup and re-engagement sort

1. Cleanup Scope

Cleanup Scope

Fill fields below 👇

Inactivity Window (months) *

Suppress Hard Bounces Immediately *

Minimum Subscriber Age to Include (days)

2. Analyze and Sort Contacts

Agent

Pull the full subscriber list from the email tool. Flag every hard bounce, spam complaint, and any contact with no opens in the last Inactivity Window (months) months. If Suppress Hard Bounces Immediately is yes, mark all hard bounces and complaints for immediate suppression. Sort the rest into 'win-back candidate'. If a Minimum Subscriber Age to Include (days) was set, exclude contacts newer than that so fresh signups aren't pulled in. For each contact, record the reason and last activity date, and estimate the open-rate lift from suppressing the dead weight.

3. Log Groups in Google Sheets

Add Rows to SheetinGoogle Sheets

4. Post Cleanup Summary to Slack

Send MessageinSlack

👇 See use cases.

1.Run a full list cleanup and re-engagement sort

How this Playbook works?

Enter the inactivity window in months and whether to suppress hard bounces immediately. The AI agent pulls your full subscriber list from your email tool, flags hard bounces, spam complaints, and contacts inactive past your window, then sorts them into 'suppress now' and 'win-back candidate' groups. It logs both groups in a 'List Hygiene' tab in Google Sheets with the reason and last activity date for each contact. A cleanup summary with counts and the estimated open-rate lift gets posted to the marketing channel in Slack.

2.Plan and draft a full campaign from a single brief

How this Playbook works?

Enter the campaign goal, the target segment, and the offer or topic. The AI agent searches your past campaigns in your email tool to find the tone and structure that performed best with this segment, then drafts a complete campaign: five subject line options, a preheader, body copy, and a call to action. It matches the brand voice from your highest-performing sends and notes a recommended send time based on past open patterns. The full draft gets saved to a Google Doc and the link gets posted to the marketing channel in Slack for review.

3.Build a welcome series for new subscribers

How this Playbook works?

Enter the number of emails in the series and the main goal (activation, first purchase, or education). The AI agent reviews how new subscribers behave in their first 30 days in your email tool and designs a series with the goal, timing, subject line, and body copy for each email. It bases the content on your best-performing onboarding sends. The full series plan gets written to a Google Doc with each email laid out, and the outline gets posted to the marketing channel in Slack for sign-off before you build it.

4.Run a win-back sequence for subscribers who went quiet

How this Playbook works?

Enter the inactivity window and whether to include an offer. The AI agent pulls the inactive segment from your email tool, groups contacts by what they last engaged with, and writes a 3-email win-back sequence personalized to each group's last interest. It drafts a 'we miss you' email, a value or offer email, and a final 'last chance' email. The sequence gets saved to a Google Doc, the inactive contacts get logged in a 'Win-back' tab in Google Sheets, and a summary goes to the marketing channel in Slack.

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Less List Wrangling. More Campaigns That Convert.

Describe your email marketing task in one sentence. The agent does it across your apps.

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