A case study in cutting cold calling seats and adding a voice bot to lower cost per contract by 40 percent
Worth examining as an acquisition channel case: an operator running three VA dialers at roughly $10.50 an hour, about $5,450 a month fully loaded with data and dialer costs, was signing around three contracts a month off cold calling, putting cost per contract near $1,800, survivable but far from efficient. The rebuild replaced two of the three seats with an AI voice agent doing first-touch calls, no pitch, just confirming ownership and asking whether the owner would consider an offer that year. Calls that came back warm were transferred or scheduled with the one remaining VA, promoted and paid more since she was now handling the only part of the process that needed a person. Monthly cost landed around $2,900 including the voice vendor. The first month underperformed, with the bot ending calls on ambiguous responses and a 90-second transfer window causing missed live handoffs. The fixes were widening the transfer to a callback queue instead of requiring a live handoff, and simplifying the qualifying question to one sentence. Output climbed from there to roughly three contracts a month at close to half the prior cost per contract. The piece that nearly undid the gains was callback delay: a lukewarm lead called back four hours later converts far worse than one reached in minutes. Capping the bot's dialing window to match the VA's shift cut total dials significantly without meaningfully cutting contacts, since the earlier schedule had been dialing dead hours anyway. The broader takeaway: keep one strong human on the conversation that actually matters, and watch the vendor's per-minute pricing closely, since it drives the whole margin of a setup like this.