Hi, I need 5 minutes. I'm asking for approval on a three-month, twelve-hundred-dollar pilot. Not a platform rollout, not a headcount increase. A pilot. In five minutes I'll show you what it costs us to keep guessing, how this might close three specific revenue leaks, and what I expect to bring back to you in ninety days. If the numbers don't hold up, we walk away at a known, small cost.

We're losing revenue in three places, and they look unrelated but they all have the same root cause. One: we ship messaging that doesn't land, and we find out only after we've burned media spend. Two: deals stall in the pipeline and no one can tell us why, so forecast slips. Three: customers churn, and our NPS scores were green the whole time. Three leaks. One root cause. We are making decisions without knowing what the customer actually feels.

Let me put numbers on the three leaks for our business. On messaging, industry benchmarks say roughly a third of paid media gets wasted on copy that doesn't resonate. On stalled deals, the average B2B pipeline carries twenty to thirty percent of qualified opportunities in an unexplained stall state. On churn, gross revenue retention below ninety percent compounds against us every quarter. You don't need to trust these numbers exactly. You need to believe the loss is non-trivial, and that we currently have no good instrument to measure it.

Here's why we haven't fixed it already. The research tools we've tried all move at the wrong speed for how we operate. Traditional agency research takes six weeks and costs thirty to fifty thousand dollars per study. Survey tools return data we can't trust because people tell you what they think they should say, not what they feel. Review mining looks backward at customers who already bought. None of these give us the cited voice of a real prospect inside of a decision cycle.

ReadingMinds is an AI voice interview platform. Emma, the AI interviewer, runs short voice conversations with our prospects and customers. It detects emotion and intent in real time, not sentiment keywords but the actual shift in the voice. It returns cited insights in forty-eight hours. I want to emphasize the speed, because speed is the unlock. Forty-eight hours is inside a sprint. Six weeks is outside the decision.

Four steps end to end, inside one business week. Monday we define the study. Tuesday we share the interview link with our prospects or customers. Wednesday and Thursday Emma runs the voice interviews. Friday a cited report with emotional-fingerprint scoring per conversation is on your desk. There's nothing to install and no interviewer to schedule. That's the operational shape of this.

Here is a real customer example. A B2B SaaS company ran forty-seven voice interviews with churned accounts. Forty-eight hours later they had the root cause. Exit surveys had told them it was pricing. Voice interviews showed them it was time-to-value. Eight hundred forty-six thousand in ARR was on the table. Once they knew the real reason, the save motion changed, and it worked. This is exactly the kind of signal we are flying without today.

The pilot is three-hundred-ninety-nine a month, three months, eleven-hundred-ninety-seven in total. Two hundred voice interviews a month. To break even, this pilot needs to find us roughly three thousand dollars of value across three problems we're already losing money on. It will find orders of magnitude more than that, or we'll know within ninety days that it doesn't. Either answer is worth having for twelve hundred dollars.

What I need from you: a yes on eleven-hundred-ninety-seven dollars for ninety days, and a half-hour review at day ninety where I bring you the studies we ran, the decisions we changed, and the revenue we can attribute. If the attribution isn't clear, we don't expand. No awkward conversation, no sunk cost.

Next step is a three-minute live demo of the product, which I can send you a link to right after this. If you want to skip that and approve the pilot directly, I can have our first study live inside fifteen minutes of your yes. Thank you.