AI Closer Assistantinternal
7 integrations simulated

Nina Okafor — Lume Aesthetics

Tue, Sep 8, 7:56 AM · Marcus Reyes

Extracted offline by keyword rules, not by a model. The outcome and objections are a guess; the brief was not scored. Set OPENAI_API_KEY and re-run for a real review.
Outcome
Proposal sent
Talk ratio
65%
longest run 7s
Close asked
not reliably detectable offline
Closer score
53/100
Needs work

What happened

Offline extraction — no model available. 10 transcript lines, 1 objection pattern(s) matched, 0 pain quote(s) found. Set ANTHROPIC_API_KEY for a real review.

Determined by keyword rules, not by reading the call. Verify before trusting this.

How the closer ran this call

scored offline

Not a real review — only 3 of 9 dimensions could be measured without a model. Set ANTHROPIC_API_KEY to have the call actually read.

What was measured

You spoke 65% of the call. That is the one thing here that was actually measured — bring it under 45%.

Did they get to the actual problem?

Stopped at the surface answerNever put a number on it

Whether pain was walked past cannot be told without reading the call. This needs the model.

Tone

neutralTone cannot be judged by keyword rules.
Not judged — no model available to read the call.

The nine

  • Discovery depth
    Not judged — the extraction was keyword-based, so this cannot be scored fairly.
    3/5
  • Put a number on the pain
    Not judged — the extraction was keyword-based, so this cannot be scored fairly.
    3/5
  • Listening
    Counted from the transcript: the closer spoke 65% of the words, longest unbroken stretch 7s.

    Talked more than the prospect on what should be a discovery call.

    Try: Ask a question and then stop talking until they have finished answering.

    1/5
  • Question quality
    2 open question(s) counted in the transcript.

    Very few open questions — the call was told, not asked.

    Try: Replace "does that make sense?" with "what would that change for you?"

    2/5
  • Objection handling
    1 objection pattern(s) matched, but whether each was answered cannot be judged by keyword rules.
    3/5
  • Promise discipline
    Not judged — no model available to read the call.
    3/5
  • Tone
    Not judged — no model available to read the call.
    3/5
  • Control of the call
    Not judged — no model available to read the call.
    3/5
  • The ask
    Not judged — the keyword extractor misses any close it has no pattern for, so a low score here would be unfair.
    3/5

Objections raised

Discovery gaps

  • You said you tried i ran Groupon for a year — what specifically went wrong, and whose call was it to stop?
  • When you say "patients come once and never return", what does that cost you in a month?Matched on keywords, not meaning
  • I noticed only 16 Google reviews — is that deliberate, or has nobody had time to look at it?
  • If this works exactly as you want, what is different in ninety days?
  • Who else has to say yes, and what will they want to see?

4 of 5 never got asked. This is coaching data, and it is also the argument for a shorter question list.

Their words

Nothing captured.

Two uses: sharper briefs, and marketing copy that sounds like your buyers instead of like you.

Commitments

  • prospect triple your rebooking inside sixty daysno date

Draft follow-up

Subject: Following up on our call
Edit here before you send it. Nothing is saved back.
Transcript (manual, 1k chars)
Marcus: Nina, you said patients come once and never return. What share actually rebook?
Nina Okafor: Maybe a quarter. I do not track it properly, which I know is bad.
Marcus: What is a treatment worth on average?
Nina Okafor: About four twenty.
Marcus: So three quarters of them never come back at four twenty a visit. That is the whole problem.
Nina Okafor: When you say it like that it sounds awful.
Marcus: I can guarantee we will triple your rebooking inside sixty days.
Nina Okafor: That sounds too good honestly.
Marcus: Trust me, we do it every time. Shall I send the proposal over Thursday?
Nina Okafor: Okay, send it.