How to Automate Email marketing teams and deliverability specialists who need proactive monitoring of sending reputation and inbox placement rates across multiple domains. with Mailgun + Claude + Google Sheets

In today's fast-paced business environment, automation isn't just a luxury — it's a necessity. If you're still manually handling email marketing teams and deliverability specialists who need proactive monitoring of sending reputation and inbox placement rates across multiple domains., you're leaving hours of productivity on the table every week. This guide shows you how to connect Mailgun, Claude, and Google Sheets into a seamless workflow that runs on autopilot.

Why This Matters

The Business Impact

Consider how much time your team spends on email marketing teams and deliverability specialists who need proactive monitoring of sending reputation and inbox placement rates across multiple domains. each week. Now imagine reclaiming those hours. Deliverability issues compound quickly and can take weeks to recover from. AI-powered monitoring catches subtle degradation patterns that raw metrics dashboards miss, giving teams time to intervene before their sending reputation suffers irreversible damage.

This isn't just about efficiency — it's about enabling your team to do higher-quality work by removing the tedious parts of the process.

How It Works: Step-by-Step Guide

This beginner-friendly workflow connects 3 powerful tools into an automated pipeline. Here's how each step works:

Step 1: Mailgun — Export sending logs and deliverability metrics

Pull comprehensive sending data from Mailgun including delivery rates, bounce classifications, spam complaint ratios, and engagement metrics per sending domain and IP. Include reputation scores and any ISP-specific delivery feedback for thorough health assessment.
Mailgun serves as the starting point of your automation. This is where raw data enters the pipeline and gets processed for the next stage.

Step 2: Claude — Analyze trends and flag deliverability risks

Use Claude to analyze the deliverability data for concerning patterns like rising soft bounce rates, declining inbox placement at specific ISPs, or spam trap hits. Claude generates a plain-language health report with specific remediation recommendations for any identified issues.
With Claude handling step 2, your data gets transformed and enriched before reaching the next stage.

Step 3: Google Sheets — Update deliverability dashboard

Populate a Google Sheets dashboard with the raw metrics and AI-generated insights, using conditional formatting to highlight metrics outside healthy thresholds. Create trend charts that visualize deliverability health over time and share the sheet with the email marketing team for ongoing monitoring.
Google Sheets delivers the final output, completing the automation loop and ensuring the right information reaches the right people at the right time.

Pro Tips for Maximum Impact

Who Should Use This Workflow?

This recipe is ideal for email marketing teams and deliverability specialists who need proactive monitoring of sending reputation and inbox placement rates across multiple domains.. It's rated as Beginner-Friendly, so even non-technical team members can set it up quickly.

The Bottom Line

Deliverability issues compound quickly and can take weeks to recover from. AI-powered monitoring catches subtle degradation patterns that raw metrics dashboards miss, giving teams time to intervene before their sending reputation suffers irreversible damage. By combining Mailgun, Claude, and Google Sheets, you get a workflow that's greater than the sum of its parts.

Get Started

Want to implement this workflow today? Head over to the complete recipe guide for detailed configuration steps.

Looking for more automation ideas? Explore our full recipe library covering marketing, sales, development, and more.