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.

For B2B re-engagement, a highly effective subject line is "Are you still with [Company Name]?". This personalizes the email at scale by dynamically inserting the contact's employer. It grabs attention and prompts an open to confirm or update their status, successfully re-engaging them with your content or offers.

Personalization is not one-size-fits-all. Director-level and above prospects are 50% more likely to respond to company-level relevance (e.g., business initiatives). In contrast, individual contributors and managers are more receptive to individual-level personalization.

Combine two specific audience identifiers in your subject line, like role and company attribute ("Mid-market CMOs") or interest and a pain point ("Beauty fans with sensitive skin"). This "double personalization" tactic reportedly increases B2B open rates by 24% and B2C by 29% by making the message feel hyper-relevant.

Companies can use AI to generate unique, 'ephemeral software' experiences for marketing campaigns. Instead of a generic Spotify Wrapped-style review, businesses can now affordably create a custom, interactive 'unwrapped' summary for each user based on their specific product usage data, costing just cents in tokens.

Personalizing subject lines with a recipient's industry or interests is a known tactic that provides a solid 20% lift in open rates. However, this should be considered a baseline, as more advanced psychological tactics like aspirational messaging can yield even higher returns of 24-28%.

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 blasting the same message across all channels, the key is to make them work in unison to tell a single, coherent story. This coordinated approach prevents message fatigue and delivers better results by treating each channel as a component of a larger conversation.

For each potential buyer, create a new ChatGPT project. Upload your standard offer template, product overview, and all prospect-specific data (CRM info, call transcripts). Prompt the AI to synthesize these documents into a unique proposal that directly addresses the buyer's expressed pain points and priorities.