What AI reveals about my own sales calls

Transparency in sales calls: What AI reveals about my own sales calls (and what sales teams can learn from it)

As the founder and CEO of an AI revenue intelligence company, I preach the same mantra every day: Sales teams must stop relying on their gut feeling. We need to analyze calls objectively, learn from data, and scale coaching moments. At Kickscale, we are building the platform that helps B2B sales teams improve through real insights. We are moving away from guesswork toward measurable success.

But if you dish it out and talk about flaws in the sales process every day, you have to be able to take it, too.

I have been in B2B sales for many years. I was Head of Global Inside Sales, wrote a book on sales skills ("The Sales Skills Book") and now run a growing SaaS company. You might think I have it all figured out. But in sales, routine is often the greatest enemy of excellence. You develop blind spots. You get comfortable.

That’s why I dared to conduct an experiment: I turned our own artificial intelligence on my personal discovery and demo calls. No filters, no excuses, no polished dashboards. I wanted the unvarnished truth: What am I actually doing well? And where am I subconsciously sabotaging my own deals?

Including numerous practical examples at the end of the blog post.

Here is the ruthless result of my AI analysis and the concrete lessons that sales leaders and account executives (AEs) can draw from it for their own growth.

My strengths: Where I build and win deals

AI doesn't lie. Fortunately, the evaluation of my calls from the last few months has shown that many of my fundamental sales muscles are still very well-trained. Here are the areas where, according to the data, I perform above average:

1. Building relationships and empathy (Rapport is King)

The analyses show time and again: I invest heavily in the personal level during the first few minutes. The AI highlighted that I very often actively ask about well-being, touch on where they live or their professional background, and show genuine empathy. If a prospect comes into the call feeling under the weather, I follow up ("Feeling sluggish as in a bit sick?").

Why this is measurably important: People buy from people. A relaxed, trusting atmosphere at the beginning is the emotional buffer you need later when it comes to tough topics like budget, IT security, and contract details. The AI rates this "engagement factor" as extremely high.

2. Confident structure and product clarity

A successful call requires leadership. The AI regularly praises me for my agenda setting. I usually start my calls with a clear roadmap and get buy-in from the customer: "What’s the plan for today? Brief introduction, focus on your challenges, finish on time before 4 PM."

In the demo itself, I manage to explain the value of the platform visually and tangibly instead of getting lost in abstract feature lists. The customer knows exactly where we are in the process at all times.

3. Flexibility in finding solutions

Sales is not a rigid script. The analysis data shows that I react extremely agilely when prospects express specific wishes. For example: A customer had major concerns about video recording. Instead of insisting on our standard process, I immediately offered that we could automatically delete the videos after transcription or forgo video recording entirely. This agility keeps deals alive that would otherwise fail due to internal hurdles.

My blind spots: Where I leave money on the table

This is going to be painful. Even with years of experience, behavioral patterns creep in that put deals at risk. Our platform's metrics (speak ratio, patience, words per minute, question tracker) have exposed me without mercy.

1. The "feature pitch" trap & overly high speak ratios

Ouch. My speak ratio (the percentage of time I spend talking during a call) is sometimes slipping dangerously close to the 60% mark, and in one call, it even hit 64%. A good discovery call should ideally have a speak ratio of no more than 45% for the salesperson.

On top of that, the AI measured my longest monologues: at times, I’ve spoken for over three to four minutes at a stretch! When I’m excited about our product, I tend to "oversell." I use too much jargon and spend too long explaining how the AI works in the background.

The hard lesson: Brevity is a weapon. Explain less. Let the customer talk more. If you speak for longer than two minutes at a time, you’ve likely already lost the customer’s attention.

2. Fear of silence (Too few deep, open-ended questions)

A classic beginner’s mistake that I’m clearly still making. Our "question tracker" analyzed how well I ask discovery and impact questions. The result was sobering.

A prospect mentions a pain point and I jump immediately into solution mode ("We have the perfect feature for that..."). The AI is absolutely right: I fail to dig deeper. In many calls, important impact questions remained unanswered.

The hard lesson: When a customer mentions a problem, don’t solve it right away. Sit with the silence. Ask: "How is this lack of transparency currently affecting your revenue growth?" or "What happens if you don’t get this problem under control in the next six months?" Only when the pain is great enough will there be a willingness to pay.

3. Being too reactive to legal and IT objections

In the DACH region, topics like GDPR, works councils, and IT security are omnipresent. The analysis of my objection handling shows: I often wait until the customer raises concerns about call recording. Then, I sometimes react a bit uncertainly and too technically.

The hard lesson: Objections that come up in 80% of calls must be addressed proactively. Bring up the topic of data protection and works council approval yourself, before the customer does. Back it up immediately with concrete case studies and the fact that we are ISO27001 certified. Those who are proactive lead the conversation. Those who are reactive are on the defensive.

4. Lack of confirmation & active listening

In several places, the AI advised me to summarize what the customer said more actively. Instead of just nodding, I should paraphrase: "If I understand correctly, your main goal right now is to halve the ramp-up time for new reps through targeted coaching. Is that correct?" This not only confirms your own understanding but also makes the customer feel truly heard.

Behind the scenes: Putting my real statements to the test

Theory is good, but practice is often painfully honest. Our AI didn't just spit out metrics; it dissected my choice of words word for word. Here are 20 real statements from my calls – 10 sentences that moved deals forward, and 10 sentences that make me want to facepalm in hindsight.

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Top 10: Sentences that accelerated deals (The "winners")

According to the AI, these statements built trust, demonstrated authority, or measurably shortened the sales cycle:

1. Showing empathy (and meaning it)

"Feeling sluggish in the sense of being a bit under the weather, or what?"

Why it works: A prospect joined the call looking visibly stressed. Instead of stubbornly sticking to my pitch, I addressed it on a human level. That breaks the ice immediately.

2. Stay in control of the time

"We'll be finished well before 4 p.m."

Why it works: Executives hate nothing more than meetings that run over. Giving this guarantee within the first two minutes immediately puts the other person at ease.

3. Radical honesty about product fit

"Topic 1 is definitely something we can help with. Topic 2 is more limited, but for Topic 1, that's exactly what we solve with our discoveries."

Why it works: When you admit what your tool cannot do, the customer trusts you all the more regarding the things your tool perfectly handles.

4. Agility with compliance blockers

"We could, of course, have the system delete the recordings immediately after transcription..."

Why it works: A prospect was panicking about GDPR. Instead of getting bogged down in a legal debate, I immediately offered a product-based solution that completely eliminated the blocker.

5. Agenda setting like a pro

"What would our agenda proposal be for today? A very brief introduction, then the reason and plan for today's meeting, and a deeper look at your challenges."

Why it works: It positions me as a peer-level consultant who is leading the process.

6. Building deep rapport

"Where are you based in Austria? You've basically seen everything from the ground up."

Why it works: It shows that I’ve done my homework and know the contact's history. It moves the conversation away from transactional selling.

7. Validating pain

"I’ve seen that, yes. It’s definitely a bit strange that your emails are ending up in spam."

Why it works: I’m validating the customer's pain. They feel understood rather than dismissed as "exaggerating."

8. Options instead of ultimatums

"We have two options. We could either do it this way, where we say..."

Why it works: Nobody likes to be backed into a corner. Giving the prospect a choice between two good options makes them feel in control.

9. Crystal-clear next steps

"Great, perfect. And Philipp, we'll run the pilot phase for one month, and then we'll review the results immediately."

Why it works: No vague "let's talk next week" statements. Clear timelines create accountability.

10. Show, don't tell

"I'd like to show you what that looks like in practice right now."

Why it works: When features sound complex, showing the actual platform immediately breaks down barriers.

Top 10 flops: Phrases I (hopefully) never say again (The "deal-killers")

Now it gets uncomfortable. According to the AI, these statements caused confusion, put the customer on the defensive, or simply came across as unprofessional:

1. The ultimate faux pas

"Hello Fabian, hi." (To a prospect named Maximilian)

Why it hurts: The absolute classic. My mind was still on the last meeting. Pure disrespect, even if unintentional. A massive strike in the very first second.

2. Showing uncertainty with objections

"To be honest, we've never had that happen before, because either an employee says no, I don't want that..."

Why it hurts: A prospect asked for GDPR details. My answer sounded improvised and unsure. In the DACH region, that's an instant deal-killer for enterprise clients.

3. Vague value proposition

"That would be something that would make sense for you."

Why it hurts: Cliché alert! Instead of citing concrete ROI (e.g., "This will save you 4 hours a week"), I used a filler sentence that provides absolutely zero value.

4. Shifting the mental load onto the buyer

"What else do you need from us, Florian, to help you with that?"

Why it hurts: Buyers often don't know how to navigate their own internal procurement process. As a salesperson, I need to guide them through the buying process ("Next, we'll do X to get your boss on board"), not the other way around.

5. The Ego Show

"I'm in Graz today, so we have a similar schedule, I'd say."

Why it hurts: The prospect mentioned a stressful project. Instead of asking a follow-up question ("What exactly is making it so stressful right now?"), I immediately steer the conversation back to myself.

6. Using internal sales jargon with the customer

"Budget, Authority, Needs, Timeline – those are your specific topics."

Why it hurts: BANT is a framework for us salespeople, not for the customer! Hitting the prospect with internal jargon comes across as arrogant and unnatural.

7. The missed discovery moment

"The reason for this call is really just to get to know you a bit better..."

Why it hurts: Too fluffy. Too vague. Nobody has time for a 30-minute "get to know you" session. The opening should be: "We want to see if Problem X is currently costing you money."

8. Tangled "word salads"

"And I'll say it right up front, if we say, hey, this pilot phase, that works, we can work well together there, then of course there's nothing standing in the way of a long..."

Why it hurts: Monologue alert. I'm rambling, losing my train of thought, and by the end of the sentence, the prospect has no idea what the beginning was.

9. Focus on us, not the customer

"We're looking forward to the pilot phase with you, just to see what it looks like."

Why it hurts: It’s not about us being excited or just "seeing what happens." It’s about the customer having a measurable problem solved by the end of the pilot phase.

10. The passive close

(Waits for the customer to ask for the legal documents) "Of course, and then there's our data privacy..."

Why it hurts: I handed control over to the customer. If I had proactively brought up data privacy at the 15-minute mark, I would have projected confidence. Instead, I looked like I was just reacting.

Takeaways: What sales leaders and account executives need to learn

What is my biggest takeaway from this self-experiment in radical transparency? Coaching must never stop.

No matter your experience level, whether you're an AE or the company CEO, you will develop blind spots. You might think you've mastered questioning techniques, but hard data often reveals that you're doing 60% of the talking and missing the most critical "impact" questions.

For Account Executives (AEs):

1. Know your talk-to-listen ratio: If you're hoarse after a call, you've done something wrong. Your job during discovery is to get the customer talking.

2. Embrace the silence: When a customer describes a problem, count to three internally before responding. Give them the space to finish their thought. Often, the most valuable information—the real pain point—comes in the follow-up sentence.

3. Analyze your own tape: Elite athletes review game footage after every match. Why should we in B2B sales, where millions are often at stake, work any differently? Review your own calls, identify your patterns, and work specifically on one weakness per week.

For Sales Leaders, VPs, and CROs:

1. Data beats gut feeling: Don't rely on your reps' gut feelings during 1:1 reviews or pipeline meetings ("The call went great, they love our product!"). Use revenue intelligence to see if pain points were actually uncovered or if the rep just monologued for 45 minutes.

2. Create a culture of psychological safety: When the CEO is transparent about their own mistakes, it removes the team's fear of analysis. Mistakes in calls aren't a sign of weakness; they are the only way to improve.

3. Scale your best practices: If you see that your top rep uses a specific phrase to immediately neutralize GDPR objections in 90% of cases, make that clip available to the entire team.

Final thoughts

The future of sales won't be dominated by those with the loudest voice or the slickest pitch deck. It will be won by teams willing to objectively measure their performance, work hard on their weaknesses, and make data-driven decisions.

What was your talk-to-listen ratio in your last discovery call? Did you find your prospect's real problem, or did you just pitch your product? Start analyzing your calls. The truth might sting at first, but it pays off in higher win rates.

Further resources:

www.geraldzankl.com

https://www.amazon.de/Sales-Skills-Book-Concise-Introduction/dp/3903386243