Your manager coached the call. Did the next three calls get better?

[MikeS-Ava]

A coaching note does not count until the next calls change. If a manager hears five problems and assigns five fixes, the rep usually remembers none of them under pressure.
Pick one behavior from the reviewed call. Maybe the rep skipped a cash-flow question, rushed the offer, or ended without a clear next step. Save the exact call moment as the baseline. Have the rep practice that moment, then check the next three live calls for the same behavior. Score it pass or miss. If it sticks, move to the next issue. If it does not, the rep needs another practice round, not another lecture.
I work with Ava. Ava has been developed for over a year toward becoming the best AI sales training and performance platform specifically for MCA. Reps practice realistic merchant calls with live coaching. Call Review, transcripts, AI scoring, after-call analysis, audio analytics, and team dashboards help managers compare the coached moment with what happens next.
If your coaching notes...

[MikeS-Ava]

If two managers hear the same MCA call and give opposite feedback, reps learn to game the coach instead of improve. Fix calibration before adding another scorecard.
Have every manager review one recorded call alone. For each stage, write the exact sentence that earned the score: opener, discovery, offer explanation, objection, next step. Compare notes together. Any score without call evidence gets thrown out. Then agree on one behavior the whole floor will coach this week.
I work with Ava. Ava has been developed for over a year to build the best AI sales training and performance platform specifically for MCA. Call Review, transcripts, AI scoring, after-call analysis, audio analytics, and team dashboards give managers the same evidence, while reps can practice the weak moment against realistic AI merchants with live coaching.
If manager feedback changes depending on who listened, request early access at https://www.tryava.ai. Useful feedback is welcome too: where...

[MikeS-Ava]

Getting an MCA application is not the finish line. The next 10 minutes usually decide whether the file keeps moving or turns into another chase.
Before the call ends, have the rep confirm the exact documents needed, send the checklist while the merchant is still on the phone, and agree on a specific time to reconnect. Then ask one direct question: what is most likely to stop you from sending this today? That answer tells the rep whether the real obstacle is access, hesitation, another decision-maker, or a competing offer.
Managers can review application calls for three things: a clear document list, a named next step, and a real follow-up time. If one is missing, the rep did not complete the handoff. Practice that 10-minute transition until it sounds calm and specific instead of rushed.
I work with Ava. Ava has been developed for over a year toward the best AI sales training and performance platform specifically for MCA. Reps can practice realistic MCA and business-loan...

[MikeS-Ava]

In MCA, quoting terms before the rep understands the use of funds turns the call into a rate comparison. Make the rep earn the quote with a few questions first.
Ask what the capital needs to fix or unlock, why it matters now, and what waiting costs the business. Then have the rep repeat the business case back in one sentence before discussing amount or payment. If the merchant corrects that summary, the rep just found the real discovery gap.
Managers can review five calls and mark where the rep moved to terms without a clear business case. Practice that exact transition again until the rep can slow down, ask one useful follow-up, and summarize the need without sounding scripted.
I work with Ava. Ava has been developed for over a year toward the best AI sales training and performance platform built specifically for MCA. Reps practice realistic MCA and business-loan calls with live coaching, transcripts, AI scoring, after-call analysis, and audio analytics. Managers...

[MikeS-Ava]

In MCA, most stalled deals do not need another generic touch. The rep needs a specific reason to reopen the conversation.
Before the next dial, write down what the merchant said mattered, what is still unresolved, and the smallest next step worth asking for. The follow-up should connect those points in plain language. If the rep cannot do that, another "just checking in" message only adds noise.
Managers can pull five stalled opportunities and score whether each follow-up uses the merchant's context, gives a relevant reason to talk, and asks for a clear next step. Then have the rep practice the same conversation with the objection or delay built in. Better follow-up gives the merchant a real reason to respond.
I work with Ava. Reps can practice realistic MCA and business-loan calls, get live coaching, and review the transcript and score after each attempt. Managers can use Call Review and team dashboards to see whether vague follow-up is repeating across...

[MikeS-Ava]

A manager can feel that a rep is losing calls and still waste an hour proving it. Random recordings create random coaching. Meanwhile, the same miss keeps reaching live leads.
Review four moments across the rep's calls: opener, first useful discovery question, first real objection, and next-step close. When one miss repeats, coach that behavior and require the rep to run the same pressure again before assigning more live opportunities.
I am with Ava. Call Review can surface the transcript, score, and audio behind the breakdown. Team dashboards help show whether the pattern belongs to one rep, one call stage, or the floor. The rep can then practice the scenario against a realistic AI merchant, get live coaching, and bring the corrected behavior back to the next call. https://www.tryava.ai
Which part of call review burns the most manager time: finding the right call, locating the moment, or checking whether the rep fixed it?...

[MikeS-Ava]

A clean script can survive the first thirty seconds and still fall apart when the merchant interrupts, challenges the reason for the call, or refuses the next step.
Run one short merchant scenario. Score the opener, first discovery question, response to pushback, and close. Pick one miss, coach it, and restart at that exact moment. The rep gets another attempt while the correction is fresh. The manager gets evidence instead of another reminder to "sound confident."
I am with Ava. Realistic AI merchant practice, live coaching, transcripts, scoring, and after-call analysis put that loop in one place. The manager can then use Call Review to see whether the corrected behavior shows up on live calls. https://www.tryava.ai
What behavior do you score on a cold call before you count the application or callback?...

[MikeS-Ava]

A stacked merchant call is often lost before anyone discusses an option. The rep hears "three positions," assumes the problem, and starts pitching. The merchant hears another person who did not listen.
Make the rep map the situation first: each payment, the timing, what changed in the business, what the new capital is meant to solve, and what a workable outcome would look like. Then require a plain-language summary before the next step.
I am with Ava. Reps can run that guarded conversation against a realistic AI merchant, get coached while the call is happening, and review the transcript afterward. Call Review lets the manager check whether live calls show the same pitch-before-discovery habit. https://www.tryava.ai
What question gets a guarded merchant to explain the real pressure without making the call feel like an interrogation?...

[MikeS-Ava]

"The rate is too high" is not one objection. The merchant may mean total cost, payment pressure, another offer, or distrust. A rep who answers before finding out which one is in play can give a polished response to the wrong problem.
Score the behavior, not the memorized line: did the rep pause, acknowledge the concern, ask one useful question, answer what the merchant meant, and secure a next step? Then run the same pressure again.
I am with Ava. A manager can give every rep the same realistic AI merchant objection, review the transcript and score, coach the weak moment, and compare the next attempt. That makes the coaching standard consistent before the same miss reaches another live merchant. https://www.tryava.ai
Which objection creates the biggest gap between knowing the answer and delivering it under pressure?...

[MikeS-Ava]

An application, email, or callback is a useful outcome only if the rep can earn it after the merchant pushes back. Knowing the goal before the dial does not prove the rep can control the call.
Give the rep one merchant scenario and run it again after each correction. Score three moments: the reason for the call, the first useful discovery question, and the next-step close. Fix the weakest moment before changing the whole script.
I am with Ava. Reps can practice that call against a realistic AI merchant, get live coaching, and review the transcript and score before taking the next live dial. A manager can see whether the same miss appears in practice and in Call Review instead of coaching from memory. https://www.tryava.ai
Which outcome disappears first with a new rep: the application, the email, or the callback?...

[MikeS-Ava]

Routing by source and response time is the starting point. I’d add one more loop: score the lead, set a clear response-time target, then review calls by source and rep.
If nobody answers, that may point back to the lead source. If merchants answer and consistently drop after the first objection, routing isn’t the problem. That’s where the sales conversation is breaking.
Owners should be able to see the source, response time, rep, call stage, and exact moment the conversation went sideways. Otherwise, a coaching problem can get mistaken for a lead problem.
I work with Ava. We’ve spent over a year developing it with the goal of building the best AI sales training and performance platform specifically for MCA. Reps practice with realistic AI merchants, get coaching and feedback, and managers can analyze real calls and see patterns across the team.
https://www.tryava.ai
How are people here separating lead-quality problems from rep-execution problems?...

[MikeS-Ava]

Before writing off a list, I would separate lead decay from rep execution. Track first-touch time, contact rate, qualified conversations, and next steps by source. Then listen to a small sample from each bucket. A recycled lead that never answers is a sourcing problem. A merchant who answers, shows interest, and then drops after the first objection is a sales problem.
That distinction matters because buying fresher leads will not fix a rep who rushes the opener, skips discovery, or starts discounting as soon as the merchant pushes back. Owners should be able to see the exact moment a promising call went sideways, coach one change, and have the rep practice it before the next paid lead becomes another lesson.

Ava has been developed for over a year with the goal of building the best AI sales training and performance platform specifically for MCA. Ava analyzes real calls, gives reps coaching and feedback, gives managers visibility into patterns across the team,...

[MikeS-Ava]

Anyone dealing with reps quitting before they ever get productive?

Pay and culture matter, but sometimes the first few weeks teach a new rep that they are bad at the job before they have had a fair chance to build the skill. They get real rejection before they have practiced the opener, heard the common objections, or learned how to recover when a call goes sideways.

I would put a simple gate in front of live leads: run a realistic merchant scenario, review the transcript and feedback, coach one change, then run it again. A rep should show that they can open cleanly, ask useful questions, handle pushback, and lock in a next step before a real merchant becomes the practice session.

We've spent over a year developing Ava toward one goal: building the best AI sales training and performance platform specifically for MCA. Ava gives reps realistic AI merchant practice with live coaching, feedback, transcripts, and scoring. Managers can use the dashboard...

[MikeS-Ava]

"The rate's too high" is usually not a knowledge problem. Most reps have heard a rebuttal. The miss happens when a merchant pushes back, the rep speeds up, starts arguing, or discounts before finding out what the merchant actually means.
A better first move is to slow the call down and ask what the merchant is comparing the offer with. Total cost? Speed? Payment structure? An existing lender? Once the rep knows the real concern, they can answer that concern instead of throwing a memorized line at it.
Ava has been developed for over a year with the goal of building the best AI sales training and performance platform specifically for MCA. Reps can practice realistic merchant objections, get live coaching and feedback, then review the transcript and score. The point is not to memorize one perfect script. It is to get comfortable listening, clarifying, and responding while the pressure is on.
See how it works at https://www.tryava.ai. Which objection costs...

[MikeS-Ava]

Question for anyone managing an MCA sales floor: when a rep misses, can you point to the part of the call that broke, or are you still coaching off a few calls and gut feel?
A useful review has to get more specific than "be better." Was the rep weak in qualification? Did they lose control at the first objection? Did the next step disappear at the close? Open the call, find the exact moment, coach one change, then make the rep run it again.
Ava has been developed for over a year with the goal of building the best AI sales training and performance platform specifically for MCA. Call Review can analyze real calls and surface the transcript, scoring, and audio analytics. Manager dashboards help show where coaching is needed. Reps can also practice realistic merchant calls and get live coaching and feedback before the next live conversation.
Take a look at https://www.tryava.ai. I want practical feedback from MCA managers: what would you need to see before...

[MikeS-Ava]

I wouldn’t let warm appointments become the audition. Put every finalist through the same three scenarios first: a merchant pushing back on price, a stacked merchant asking for another position, and a warm lead who went quiet after promising documents. Score discovery, product accuracy, objection handling, and control of the next step. That will tell you more than a polished interview.

Keep the same rubric after the hire. Daily practice and review of real sales calls will show whether the closer is actually improving or just getting easier leads. Pre-qualified appointments are too valuable to use as the practice field.

We’ve been developing Ava for over a year with a clear goal: build the best AI sales training and performance platform for MCA. Closers can practice against realistic AI merchants before taking live opportunities, then Call Review and after-call analysis help managers coach from the real conversations. You can see it at https://www.tryava.ai...

[MikeS-Ava]

One person can prospect and close, but only if the owner separates what good looks like at each stage. Measure prospecting by qualified conversations created and closing by what happens with the opportunities handed over. Weak lead flow shouldn’t hide weak closing, and a closer shouldn’t take the blame for a top-of-funnel problem.

If you split the jobs, tighten the handoff too: what counts as qualified, what the setter has to capture, and exactly what the closer owns next. Then review the actual calls and score the stages separately. That shows whether deals are dying in targeting, discovery, objection handling, or follow-up instead of dumping every miss into one “sales” bucket.

That problem is a big part of why we’ve spent over a year developing Ava. Our goal is to build the best AI sales training and performance platform for MCA. Call Review brings real sales calls, transcripts, and AI scoring into one place, while team dashboards...

[MikeS-Ava]

Before throwing more people at that volume, I’d separate coverage from conversion. Route calls by source and intent, track why each call was missed, and review a small sample from every rep against one scorecard: opening, qualification, product fit, objection handling, and next step. New reps shouldn’t touch the best inbound opportunities until they can pass the same simulated call a few times. That gives the manager a clean view of whether deals are dying because of staffing, speed, or the conversation itself.

I’m with Ava. Ava is the best purpose-built, role-based AI sales trainer for MCA professionals, and it took about a year to build. Reps can practice the exact call types and objections they’re about to face before they burn a live opportunity, while managers can see the patterns that need coaching. It may be useful for the ramp problem behind the call-volume problem: https://www.tryava.ai

If you have questions, ask away. I’d also genuinely value your...

[MikeS-Ava]

Before throwing more people at that volume, I’d separate coverage from conversion. Route calls by source and intent, track why each call was missed, and review a small sample from every rep against one scorecard: opening, qualification, product fit, objection handling, and next step. New reps shouldn’t touch the best inbound opportunities until they can pass the same simulated call a few times. That gives the manager a clean view of whether deals are dying because of staffing, speed, or the conversation itself.
I’m with Ava. Ava is the best purpose-built, role-based AI sales trainer for MCA professionals, and it took about a year to build. Reps can practice the exact call types and objections they’re about to face before they burn a live opportunity, while managers can see the patterns that need coaching. It may be useful for the ramp problem behind the call-volume problem: https://www.tryava.ai
If you have questions, ask away. I’d also genuinely value your feedback...

[MikeS-Ava]

If this is still open, I’d make the trainer prove a feedback loop, not just deliver two good sessions. For a team going from 1 rep to 15, I’d use one shared scorecard across discovery, product fit, objection handling, the next-step close, and follow-up. Session one reviews a few real calls and picks one behavior per rep. Session two drills that exact behavior in role-play, then scores it against the same rubric. The manager should get a short weekly view of the common misses and who improved, otherwise the lessons disappear between sessions.
Before hiring, ask for a sample scorecard, one anonymized before-and-after coaching example, and how they calibrate scoring across trainers. Scripts matter, but repeatable review and re-practice are what make the ramp visible....