AI Texting vs. Manual Texting: 90-Day Split Test Results

We ran a controlled split test over 90 days with one of our clients in the Dallas-Fort Worth market. The setup was simple: 500 new inbound leads were randomly assigned to either our AI text engine or a trained human texter. Both received the same lead quality from the same marketing campaigns. The only variable was who (or what) was doing the texting.

The human texter was experienced. She had been doing lead follow-up for 18 months, knew the scripts inside and out, and was one of the best in the client's organization. She worked 8 hours a day, Monday through Friday, and averaged a 4-minute response time during working hours.

Our AI engine operated 24/7 with an average response time of 11 seconds. It used the same qualifying questions and the same general conversation framework, but adapted its responses in real time based on the lead's replies.

After 90 days, the results were clear. Our AI engine achieved a 73% response rate compared to the human texter's 41%. The AI booked 47 appointments compared to 22 for the human. Cost per appointment for the AI was $14.20 compared to $89.50 for the human texter (factoring in wages, management time, and software costs).

The most interesting finding was not in the top-line numbers. It was in the timing data. The AI's biggest advantage came from after-hours and weekend leads. 38% of all appointments booked by the AI came from leads that responded outside of traditional business hours. The human texter missed all of those because she was not working.

The client's takeaway was immediate: the human texter was reassigned to higher-value activities (negotiating with motivated sellers, managing buyer relationships) while the AI took over 100% of initial lead engagement. The result was a net increase in closed deals and a significant reduction in operational cost.