AI in Action: Automating Subscriber Re-Engagement

How Media Companies Are Automating Re-Engagement Programs

Re-engaging inactive subscribers has long been a labor-intensive process for audience teams. Traditional re-engagement campaigns often rely on manually curated emails and static messaging, making it difficult to scale efforts or maintain relevance.

During a recent MACMA Friday Exchange session, Cam Franko, audience engagement manager at PMMI Media Group, showcased a practical solution that leverages analytics and automation to create a data-driven, self-sustaining re-engagement program.

The Problem: Manual and Inefficient Re-Engagement

Audience teams frequently face several challenges:

• Manual content curation for re-engagement emails.

• Static messaging that may not reflect current audience interests.

• Difficulty scaling campaigns across multiple brands.

• Overreliance on open rates,which are no longer a reliable indicator of engagement.

• Operational inefficiencies that consume valuable team resources.

The Solution: A Data-Driven Automated Workflow

By integrating GA4 analytics with marketing automation and customer data platforms, organizations can dynamically populate re-engagement emails with the most relevant content—creating a “set-it-and-forget-it” system that adapts week to week.

How to Implement an AI-Powered Re-Engagement Program

1. Define Disengaged Audiences

Identify subscribers with no email or site activity within a defined period (e.g., 90 days).

• Optionally include “soon-to-disengage” users to intervene earlier.

2. Use Analytics to Surface Relevant Content

• Leverage GA4 to identify the top-performing articles based on traffic and engagement.

• Select the top three pieces of content each week.

3. Automate Email Creation

• Populate an email template automatically with the selected articles.

• Use the headline of the top-performing article as the subject line to increase relevance.

4. Schedule Recurring Deployment

• Send the automated newsletter on a consistent cadence (e.g., weekly).

• Include a quick review step for quality assurance before deployment.

5. Measure True Re-Engagement

• Focus on click-throughs and site activity rather than open rates.

• Track macro-level engagement trends across the database.

6. Explore Monetization Opportunities

Once validated, consider evolving the initiative into a sponsored newsletter product.

Why It Matters

This approach delivers significant operational and strategic benefits:

• Reduces manual workload, freeing teams to focus on strategy.

• Improves content relevance through data-driven personalization.

• Scales easily across brands and audience segments.

• Supports revenue generation through potential sponsorship opportunities.

• Strengthens audience relationships by delivering meaningful content.

Key Takeaway

AI’s greatest value in this context is not in content creation but in automating repetitive operational tasks. By allowing data to drive re-engagement efforts, media organizations can achieve sustainable improvements in audience engagement while minimizing manual effort.

Join MACMA’s Friday Exchange for real conversations on audience growth and strategy.