Avoid the overwhelm of writing automated sequences from scratch. Instead, categorize your previously sent broadcast emails by the offer they promoted. Then, assemble your most effective, evergreen emails into a 'greatest hits' sequence for new subscribers interested in that topic.

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Don't unleash a generic AI agent on your entire database. To get high response rates, segment contacts into specific sub-personas based on role, behavior, or status (e.g., churn risk). Then, train dedicated sub-agents or campaigns for each persona, allowing for true personalization at scale in batches of around 1,000 contacts.

Delegate the creation of launch assets like email copy and social posts to AI. This front-loading of content creation frees up your time and energy during the actual launch, allowing you to show up live, engage directly with your audience in DMs and comments, and build trust that leads to sales.

Constantly creating new launch materials leads to burnout and inefficiency. The key to scaling is to document what works—webinars, emails, social posts—and reuse those assets for subsequent launches. By iterating on a proven system, you build momentum, reduce costs, and become known for a core offer.

Leverage AI tools to process transcripts from long-form content like webinars or podcasts. Prompt the AI to extract key takeaways and tactical advice, which can be quickly turned into valuable email sends. This creates an efficient content engine and drives traffic back to original assets.

Instead of only planning future content, systematically tag every published piece with its topic, performance metrics, and the pain point it addresses. This creates a data-rich, reusable library that allows you to identify and remix your most successful content ideas.

Leverage AI in email marketing not to replace your voice, but to augment it. Use tools like ChatGPT as a brainstorming partner to generate angles and outlines. This frees up your creative energy to focus on infusing the content with personal stories and genuine connection that only a human can provide.

Instead of getting paralyzed by data, begin segmenting by simply listing anecdotal observations on paper. Note patterns from customer conversations, email replies, and surveys to generate initial hypotheses about your audience buckets. This practical first step makes segmentation far more approachable.

For subscribers who don't open an email, a simple and effective tactic is to resend the exact same content. The only change is tweaking the subject line and pre-header to capture their attention. Since they never saw the original content, it's still new to them and requires minimal effort to redeploy.

Instead of only planning future content, create a database (in Notion or a Google Sheet) of all published assets. Tag each piece by topic, pain point, and performance metrics (likes, shares, open rates) to systematically identify what resonates and should be repurposed.

Don't wait for the perfect AI marketing platform. Repurpose existing AI sales tools for marketing automation. Their sequence and re-engagement capabilities can be hacked to run hyper-personalized drip campaigns, bridging the current technology gap.