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The end of depending on stars

Head of sales

Turn what your best rep does into a model the whole team can apply.

Two people in headsets at their monitors handing over a printed call transcript.

Who it is for

The end of depending on stars

  • The end of depending on stars

    Aplora finds what exactly your best rep does differently and turns it into a model the whole team applies — the expertise stops living in one head and reaches everyone in the department.

  • Less manual control, more manageability

    The head of sales sees who is losing deals and why, which leads to work first, and gets an objective picture without hours spent listening to calls and assembling reports by hand.

  • New hires reach quota sooner

    Every rep gets a review of their own calls and a concrete development path instead of anecdotes retold at the standup — onboarding stops depending on the manager's personal time.

Questions the data cannot answer today

  • What exactly does the best rep do differently — in concrete actions?
  • Which open deals have already stalled while formally still alive?
  • Where do reps systematically leave an objection unanswered?
  • Which of a new hire's calls should be reviewed first to get them to quota sooner?

What stays in your hands

Stays with you

  • a review of every conversation against your own methodology
  • the best rep's approach described as actions, not traits
  • daily priorities across leads and deals
  • a development plan per rep, grounded in specific examples

The metrics this moves

Names, not promised numbers: how far each one moves is shown by measurement after rollout, not by a web page.
  • conversation-to-next-step conversion
  • spread of results between reps
  • time for a new hire to reach quota
  • share of conversations that follow the methodology

What we use for this

  • Aplora Sales

    Turns calls, CRM data, and your own sales methodology into a system that drives management action.

    Explore this solution

Cases

How this looked for others

  • A production floor: two workers at a bench going through a batch of goods.

    Client under NDA

    The best salesperson's playbook rolled out across a manufacturer's whole sales team

    The team's result rested on two people; the rest closed several times less on the same workload. Nobody knew what exactly the leaders did differently: conversations were not reviewed, and the gap was explained away as “experience”.

    Conversion to a sale three months after rollout
    +25%
    Conversion to a sale after six months
    +72%
    Read the case
  • At a counter, a staff member hands a document to a visitor

    We validated the system inside our own operations first

    Conversation review in an admissions funnel: how we validated the system on ourselves

    Conversation quality was judged from a few recordings a month. The reasons for a no stayed a hypothesis, commitments were captured from memory, and the CRM was filled in after the fact and only partially.

    Conversion from hot leads
    ×3.3
    Share of calls that went nowhere
    −40 pp
    Share of second contacts
    +30 pp
    Read the case
  • Hands on a laptop keyboard, a list of CRM records on the screen

    We validated the system inside our own operations first

    Lead scoring in the intake funnel: advisors stopped calling everyone in order

    Hot and cold leads sat mixed together. An advisor spent the day on people with neither a reason nor an intent, while leads showing clear readiness went cold in the queue.

    Read the case
  • A tablet showing an analytics dashboard: a pie chart and a trend line

    We validated the system inside our own operations first

    The funnel from lead to purchase in one picture: where the money was actually leaking

    Channels were compared on cost per lead rather than on the eventual sale, so a cheap channel looked better than an expensive one even when it brought people who don't buy. Nobody counted the losses between stages: for marketing the funnel ended at the webinar, for sales it began at the call.

    Google versus Facebook lead quality by conversion to sale
    ×3 in Google's favour
    Conversion at four or more touches versus one
    ×4–5
    Potential estimate: sales from the hot-lead pool identified
    +14–22 sales
    Read the case
  • Someone going through a printed form at a meeting table

    We validated the system inside our own operations first

    A sales candidate is assessed from a recorded conversation, not from the impression they leave

    Hiring decisions were made on the impression the interview left. Interviewers assessed candidates differently, a mistake surfaced a month into the job, and the head of sales spent hours on reviews and arguments about who was better.

    Read the case
  • Two people in headsets going over something on a monitor

    Client under NDA

    A school's sales team stopped depending on any one advisor's discipline

    There was no priority, and strong leads were lost in the queue. Conversation quality was checked on a sample, follow-up depended on whether the advisor remembered, and the manager spent hours listening to recordings instead of working the bottlenecks.

    Progression to a second contact
    +22%
    Overall conversion to a deal
    +5 pp
    Advisor time spent on admin
    −70%
    Read the case

Frequently asked

Will the reps see this as surveillance?

It depends on how it is set up. The review is addressed to the rep, not only to their manager: they get their own recording, their own strengths and a concrete next step. A tool that only produces a leaderboard for management gets rejected within a month — and rightly so.

Our team is small. Is there any point?

The value comes from repetition and spread in results, not from headcount. In a team of three the gap between the best and the rest is usually sharper, and one lost deal costs more. We check this during the assessment — if there aren't enough conversations to draw conclusions, we say so plainly.

Let's look at your situation

We will go through one process in the first meeting and say plainly whether a next step makes sense.