This workflow helps marketing and sales teams recapture the interest of leads that have gone cold. By identifying inactive contacts and crafting personalized outreach based on their previous interactions, organizations can efficiently re-engage potential customers who might otherwise be lost.
The process begins by detecting leads with no recent activity, then analyzing their historical engagement patterns to understand their previous interests and pain points. AI generates tailored re-engagement messages that reference relevant past interactions or introduce new offerings that match their profile, creating a sense of continuity in the relationship rather than a generic follow-up.
Each message includes a compelling offer or conversation starter designed to prompt a response, and the system tracks engagement to determine which leads should be recycled or prioritized for further follow-up. This systematic approach to lead recovery helps maintain a healthy pipeline while minimizing the manual effort required to personalize outreach at scale.
You care about improving the entire lifecycle of buyer and customer journeys. And you want inspiration for areas where Ai may help.
You want inspiration for real-world ways to help people as you're building your Ai product.
You're focused on the Consideration stage in your daily job and want to find ways for Ai to help you do more with less.
Does this AI agent workflow rely too much on AI and not enough on human know-how? Or the reverse? Is it missing steps or tools?
Note that this Ai workflow is presented as inspiration for what's possible. Adjust the amount, type and quality of the data inputs. Adjust how much or how little your human team mates (or you), AI and fully autonomous agents contribute.
And test it! Learn what works and what doesn't.
Don't forget! In the end, it's not just about efficiency. It's about delivering great experiences for your customers and customers-to-be.
Create a re-engagement email for {leadName} who has been inactive since {lastActivityDate}. Their last interaction was {lastInteraction}, and they previously showed interest in {topicOfInterest}. The email should be friendly and not pushy, reference their previous engagement, and offer something of new value like our recent {newFeatureOrContent}. Include a simple question to encourage a response and a clear but low-commitment call-to-action.
Craft an Ai automation or agent plan, just for your b2b. Simple. The first step in automating across your buyer and customer journeys: inspiration for what to build. Talk with an Ai agent via your phone to quickly create your custom Ai agent plan.