Case Study: Automating High-Volume Seed Testing for a Bulk Email Marketing Team Using AI and Deliverability Feedback Loops

Client: Confidential (Bulk Email Marketing Agency)
Industry: Email Marketing & Deliverability Optimization
Service: Custom Automation Development, AI Integration, Email Testing Workflow
Technologies: Python, GlockApps API, Email Service Provider Integration, OpenAI API (ChatGPT)

The Challenge

Our client, a high-volume email marketing agency, was running over 60 email campaigns per day, each with multiple variations. To ensure high inbox placement, the team conducted extensive seed testing — manually sending test emails to seed list aggregators like GlockApps.com, reviewing deliverability reports, and tweaking content to improve results.

This manual process consumed the majority of their workday. Dozens of employees spent hours:

• Writing and assembling email creatives
• Sending test emails to seed lists
• Analyzing deliverability reports
• Making minor copy changes and resending campaigns for retesting

The client approached Owners Media looking for a way to automate the entire seed testing cycle — so that testing could continue overnight and employee hours could be redirected to strategy and campaign execution.

Our Solution

Owners Media engineered a fully automated email testing and optimization loop, powered by custom scripting, third-party API integrations, and AI content generation. The result was a system that mimicked human behavior — at scale and around the clock.

1. Automated Email Creative Generation

Using a combination of custom prompts and campaign-specific inputs, our system used ChatGPT to generate initial email drafts, incorporating tone, call-to-action logic, subject lines, and formatting that aligned with the client’s goals.

2. Automated Seed Testing Workflow

Once an email creative was generated, our system:

• Sent the email via the client’s Email Service Provider (ESP) to predefined seed lists
• Waited for deliverability and inbox placement reports from GlockApps via API
• Parsed GlockApps data to extract insights on spam placement, ISP behavior, and content flags

3. AI-Driven Optimization Feedback Loop

The deliverability report was fed back into ChatGPT, which was trained to:

• Identify weak points in the email’s content (e.g., spammy words, formatting issues, trigger phrases)
• Recommend and apply targeted edits to subject lines, body copy, or layout
• Regenerate the revised email creative

This loop continued iterating until the deliverability score met or exceeded a defined threshold, usually a minimum % inbox placement across major providers.

4. Nighttime Automation for Daytime Efficiency

Perhaps the most impactful feature: the system was scheduled to run overnight, meaning testing and refinement occurred while the team was offline. By morning, employees logged in to:

• Pre-qualified, high-performing email creatives
• Full deliverability reports
• A drastically reduced manual workload

The Results

• 60+ email tests per day fully automated, freeing up internal staff for strategy and creative review
• Deliverability scores improved across all major ISPs
• Overnight seed testing allowed for a continuous optimization cycle
• Increased productivity and reduced burnout for internal teams
• Competitive advantage through faster campaign testing and deployment

Conclusion

This project is a strong example of how Owners Media uses automation, AI, and smart integration to solve real bottlenecks in digital operations. By building a custom end-to-end solution that combined ChatGPT, GlockApps, and the client’s ESP, we enabled high-volume testing at scale — giving the client a reliable, intelligent system to test, learn, and improve email deliverability without human intervention.