Lapsed Captain Identification — Recommended for Re-engagement
Showing 8 of 312 high-priority former Relay captains. Ranked by AI reactivation score. All data is entirely fictional and illustrative.
Reactivation Value Ledger
Pipeline progression from identification through fundraising impact
The value of AI in this workflow is not generating the email. It is doing five things simultaneously and at scale that no manual process could sustain.
Behavioral prioritization
A propensity model scores all 1,847 lapsed captains against 40+ historical signals: team size, retention rate, cap-to-teammate ratio, donation trajectory, event year-over-year change, and engagement recency. Staff time goes to the 312 most likely to return.
Personalization at volume
Each outreach references the captain’s specific history: city, team name, fundraising milestones, personal mission connection. A donor relationship manager cannot produce 312 personalized, accurate outreach messages in a campaign window.
Timing optimization
The model recommends outreach timing based on past captain behavior, Luminate engagement recency, and event registration timelines. Reaching a high-score captain in October vs. January changes conversion likelihood materially.
Human oversight, not replacement
Every outreach requires staff approval before sending. The AI surfaces the opportunity brief, writes the draft, and prepares the recommendation. The relationship manager decides. Nothing sends automatically.
Closed-loop measurement
Every action is recorded. The system tracks what was sent, who responded, who reregistered, and how much they raised. That outcome data trains the next model run, improving prioritization with each campaign cycle.