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Don't just track that a click occurred. Tag each contact in your CRM with the specific content topic or offer type they clicked on (e.g., 'hiking sneakers' or 'hiring software'). This creates a rich database of user interests for highly relevant, segmented campaigns in the future.

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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.

Generic "we miss you" campaigns fail. Instead of a simple message, leverage integrated data to personalize outreach based on an HCP's past behavior. This "we miss you, and we know you" approach has yielded click-through rates exceeding 40% by offering highly relevant content suggestions.

Inside your regular emails, include links that offer more specific content. When a subscriber clicks, your email platform can automatically tag them and add them to a new, relevant automated sequence. This funnels your audience into different nurture tracks based on their expressed interests.

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.

Instead of just scoring email clicks, segment users who click into a distinct database. Use this highly engaged audience for cost-effective retargeting and remarketing campaigns across social media and display networks, as they are far more likely to convert than your full database.

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 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.

Instead of automatically disqualifying leads with generic email addresses, track their behavior. A user with a Gmail address who clicks a link about "what to look for when hiring" is showing strong buying signals, making them a qualified lead worth a salesperson's time.

When deploying AI SDRs, abandon outdated demographic segmentation. Instead, use hyper-segmented behavioral lists, such as recent website visitors, former customers at new jobs, or webinar attendees. This gives the agent crucial context to craft relevant and effective outreach.

Don't just analyze overall email performance. Create a separate set of metrics for "verified subscribers" who fit your Ideal Customer Profile (ICP). This reveals what content truly resonates with your most valuable audience, enabling more effective targeting and strategy.