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Multi-Campus K-12 · Build
How a 75-campus school network tripled its lead conversion rate
The network had enough leads. They were going cold before anyone followed up. We built an AI agent that responds to every new inquiry within 60 seconds with a message tailored to that family.
The problem
A K-12 network with about 75 campuses across the US was converting only 5.6% of leads against a 20% target. Leadership thought the problem was lead volume. The real problem was speed and quality of follow-up. Leads with 11 or more touches converted at 19%, three times the network average. But most leads got fewer than three touches. On top of that, 29% of leads had no source attribution, so no one knew which channels were working. And 1,142 leads had received zero contact at all.
What we built
- New leads get a personalized text and email within 60 seconds. AI reads the lead's source, the child's age, and any prior interactions, then writes a message that fits. Generic auto-responders converted at the bottom of the funnel. Personalized, source-aware ones convert three times higher.
- Legal guardrails are built in. Texas law bans texts before 8am and after 9pm. The system enforces that automatically across all campuses. It also checks opt-out status and campus rules before sending anything.
- School directors walk into tours prepared. When a tour is booked, AI researches the family and writes a one-page brief before the meeting. Directors used to walk in cold.
- The 1,142 leads with zero contact got personalized re-engagement messages sequenced over two weeks. Reaching that many families by hand was never going to happen. AI did it in days.
- A fix to the Calendly booking flow restored source attribution that was being lost on every booking. Before, 29% of leads showed no channel. Now leadership can see which marketing is working.
- A full attribution audit cleaned up duplicate lead sources in Dynamics so the AI has accurate data to work from.