Don't just analyze your entire email list's performance. Create a separate set of metrics for "verified subscribers"—those who fit your Ideal Customer Profile (ICP). This allows you to differentiate what resonates with your target buyers versus the broader audience, leading to more effective content strategy.

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.

The most effective user segmentation is based on underlying motivations. Identifying both functional ("inspire me with new music") and emotional ("help me feel less lonely") drivers is the crucial first step to engineering meaningful product delight that resonates deeply with users.

Instead of manually sifting through overwhelming survey responses, input the raw data into an AI model. You can prompt it to identify distinct customer segments and generate detailed avatars—complete with pain points and desires—for each of your specific offers.

Social platforms like Meta have powerful segmentation data, but that data does not transfer to your email list when a user subscribes. This is their 'moat.' You receive a name and email, but no context, making it crucial to start your own segmentation process immediately to understand your new subscribers.

For cold outreach, hyper-personalizing every prospect is inefficient. Instead, identify patterns across similar roles or industries and develop 'targeted messaging' that speaks to these common challenges. This allows for scalable and relevant outreach without time-consuming individual research.

Beyond marketing metrics, actively soliciting replies on non-business topics (e.g., "What's your favorite hobby?") uncovers valuable first-party data about your audience's interests. This enables more relatable and personalized content that resonates on a human level.

Extend segmentation beyond email content by using tools like RightMessage to dynamically alter your sales pages. Change headlines, testimonials, and copy to reflect a specific visitor's segment. This creates a highly relevant, personalized buying experience that can dramatically boost conversions.

Instead of theorizing about their Ideal Customer Profile, Assembled's first GTM hire created a list of all existing customers. By looking for patterns and creating groups based on traits like tech stack (Zendesk), agent count (20-200), and channel complexity, a data-driven, highly specific ICP emerged organically.