Overall score
From 0 to 10. The AI does not eyeball it: it is computed from the per-section scores and their weights.
Every recorded call reaches TopClosers, gets transcribed and is scored against your agency’s sales manual. The result is a per-call report: a score from 0 to 10, the section-by-section breakdown, what went well, what to improve, the objections that came up and the moments worth listening to again.
The owner sees the analysis of every call in the agency; each closer sees only their own.
Overall score
From 0 to 10. The AI does not eyeball it: it is computed from the per-section scores and their weights.
Section breakdown
Every phase and every general criterion with its own score, its met criteria and its own coaching.
Lead context
Temperature, motivation, expressed pains and objections, backed by verbatim quotes from the conversation.
The call ends and the recorder (Fathom or Bluedot) sends the recording to TopClosers. It usually takes a few minutes.
The closer is identified by the email the call was recorded with. If it matches nobody on the team, the call lands as Needs attention and analysis waits until the owner assigns the right person.
It is scored against the active rubric. The call moves through the Analyzing… state, which normally takes a couple of minutes.
The report is ready. The call becomes Analyzed and the closer gets an email with the score and the points to improve.
The analysis is organized in tabs inside the call’s detail view.
The landing view: the overall score, the Scorecard with every section at a glance, What to improve (the most important part of the call, pulled to the top), What went well, the Key moments and the full transcript.
Performance by section: every phase of your manual and every general criterion, with its score out of 10 and its weight. Inside each section you get:
General criteria carry the Whole call label, because they are judged over the entire conversation rather than one stretch of it.
The profile of the person on the other side: lead type, temperature (hot, warm or cold), awareness level before and after the call, their primary motivation, the buying trigger (what they said versus what really drives them) and the expressed pains with their severity. All of it backed by verbatim quotes.
Every objection that surfaced — including the soft ones, the “I need to think about it” kind — with how it was handled, a handling quality score from 0 to 100 and what to say next time. Below that, the prioritized action plan for that specific lead.
Objections are named with short, reusable labels (“Price”, “Needs to check with partner”) so they can be aggregated later in Objections.
Between two and six moments with a timestamp, the verbatim quote and why they matter. They let you listen to just the part you care about instead of the whole recording.
The overall score is not an impression. Each section is scored from 0 to 10 by evaluating its criteria one by one, and the overall score is the average of those scores weighted by each section’s weight. If Discovery weighs 25% and Close weighs 30%, that is exactly what they weigh in the result.
Two practical consequences:
Every piece of text the AI produces — summary, per-section coaching, strengths, improvements, section names — is written in the agency language, even when the call or the manual is in another language. Verbatim transcript quotes stay in their original wording so the evidence remains faithful.
Change the language in agency settings.
You can filter the list by state from Calls.
The Reanalyze button scores the call again against the rubric that is active today and replaces the previous report. That is what you want when:
Sometimes a call should not count: an internal demo, a support conversation, a call that dropped after two minutes. That is what Don’t grade is for.
When you exclude a call from scoring:
It is reversible: Grade this call restores the score and its effect on averages.