What AI revealed about my own sales calls

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

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

But anyone who hands out and talks about mistakes in the sales process every day must also be able to plug in.

I've been in B2B sales for many years. I was Head of Global Inside Sales, I wrote a book about sales skills (”The Sales Skills Book“) and now runs a growing SaaS company. You'd think I'd got the hang of it. But routine is often the biggest enemy of excellence in sales. You develop blind spots. You become comfortable.

That's why I dared to experiment: I set our own artificial intelligence on my personal discovery and demo calls. No filters, no excuses, no polished dashboards. I wanted to know the unvarnished truth: What am I really good at? And where am I subconsciously sabotaging my own deals?

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

Here are the relentless results 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

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

1. Relationship building and empathy (Rapport is King)

The analyses show time and again that I invest heavily in my personal level in the first few minutes. The AI has emphasized that I very often actively ask about my well-being, address my place of residence or professional career, and show genuine compassion. When a prospect comes in the call battered, I follow up (“Schlapp in the sense of a bit ill?”).

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

2. Sovereign structure and product clarity

A successful call requires leadership. The AI regularly praises me for my agenda settings. I usually start my calls with a clear timetable and pick up the buy-in from the customer: “What is the plan for today? Brief presentation, focus on your challenges, be ready punctually before 4 p.m.”

In the demo itself, I manage to visually and tangibly explain the benefits of the platform instead of getting lost in abstract feature lists. The customer knows 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 requests. An example: A customer had major concerns about the video recording. Instead of insisting on our standard process, I immediately offered that we could automatically delete the videos after transcription or completely refrain from recording video. This agility keeps deals alive that would otherwise fail due to internal hurdles.

My blind spots: Where I leave money on the table

It's getting painful now. Even with years of experience, patterns of behavior creep in that jeopardize deals. Our platform's metrics (Speak Ratio, Patience, Words Per Minute, Question Tracker) have mercilessly exposed me.

1. The “feature pitch” trap & too high speak ratios

Ouch My speak ratio (the percentage I speak in a call) sometimes slips dangerously close to the 60% mark, and even to 64% in a call. A good discovery call should ideally have a speak ratio of no more than 45% for the seller.

The AI also measured my longest monologues: Sometimes I talked for three to four minutes in a row! When I'm excited about our product, I tend to “oversell.” I use too many technical terms and explain for too long how the AI works in the background.

The hard lesson: Conciseness is a weapon. Explain less. Let the customer talk more. If you talk for more than two minutes at a time, you've probably already lost the customer's mind.

2. The fear of silence (too few deep, open questions)

A classic rookie mistake that I'm obviously still making. Our “Question Tracker” has analyzed how well I ask needs and impact questions. The result was disappointing.

A prospect calls a pain point and I jump straightaway into solution mode (“We have just the right feature for...”). The AI is absolutely right: I'm missing out on digging deeper. In many calls, important impact questions remained unanswered.

The hard lesson: When the customer mentions a problem, don't solve it right away. Keep up the tension. Ask about: “How is this lack of transparency currently affecting your sales growth?” or “What happens if you don't get to grips with this issue in the next six months?” Only when the pain is great enough is there a willingness to pay.

3. Too reactive when it comes to legal and IT objections

In the DACH region, topics such as GDPR, works council and IT security are omnipresent. The analysis of my objection handling shows: I often wait until the customer expresses concerns about recording calls. Then I sometimes react a bit uncertain and too technical.

The hard lesson: Objections that arise in 80% of calls must be resolved proactively. Bring the issue of data protection and works council approval to the table yourself before the customer does it. Back it up right away with specific case studies and the fact that we are ISO27001 certified. Whoever is proactive leads the conversation. When you are reactive, you defend yourself.

4. Missing confirmation & active listening

In some places, the AI has advised me to more actively summarize what the customer said. Instead of just nodding, I should paraphrase: “If I understand correctly, your main goal right now is to halve the ramp-up time of new reps through targeted coaching. Correct?” This not only ensures their own understanding, but also gives the customer the feeling that they are really understood.

Spilled out of the sewing box: My real statements put 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 have moved deals forward, and 10 sentences for which I would like to head on in retrospect.

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Top 10: Phrases that have accelerated deals (The “Winners”)

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

1. Show empathy (and be serious)

“Schlapp in the sense of being a bit ill or what?”

Why it works: A prospect came into the call visibly battered. Instead of stubbornly following through with my pitch, I took it up humanly. It immediately breaks the ice.

2. Maintain control over time

“We'll be out punctually before 4 p.m.”

Why it works: Executives hate nothing more than excessive meetings. Giving this guarantee in minute 2 immediately relaxes the other person.

3. Radical honesty in product fit

“Topic 1 is definitely one where we can help. Topic 2 is now more limited, but topic 1, that is exactly what we are solving with the Discoveries.”

Why it works: If you admit what your tool not Can, does the customer believe you all the more about the things that your tool does perfectly Can.

4. Agility with compliance blockers

“Of course, we could also have the system delete the recordings immediately after transcription...”

Why it works: One prospect had a GDPR panic. Instead of falling into a legal discussion, I immediately offered a product-side solution that completely eliminated the blocker.

5. Setting the agenda like a pro

“What would be our agenda suggestion for today? Very brief presentation, then the reason and plan for today's appointment and a deeper look at your challenges.”

Why it works: It positions me as a consultant on equal footing who leads the process.

6. Build deep rapport

“Where are you in Austria? You've seen almost everything from ground up.”

Why it works: Shows that I have prepared myself and know the history of the contact person. It's moving away from transactional selling.

7. Validate pain

“I've seen that, yes. It's a bit strange, of course, that your emails end up in spam.”

Why it works: I confirm the customer's pain. He feels understood and not labelled as “exaggerating.”

8. Options instead of ultimatums

“We have two options. We could either do it by saying...”

Why it works: No one likes to be pushed into a corner. Choosing between two good options gives the prospect a sense of control.

9. Crystal-clear next steps

“Great, mega. And Philipp, we'll do the pilot phase for a month and then we'll draw immediate conclusions.”

Why it works: No vague “Let's talk on the phone next week” statements. Clear timelines create commitment.

10. “Show, Don't Tell”

“I'd just like to show you what it looks like in practice.”

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

Flop 10: Sentences I (hopefully) never say again (The “Deal Killers”)

It's getting awkward now. According to AI, these statements have caused confusion, put the customer on the defensive or simply appeared unprofessional:

1. The ultimate faux pas

“Hi Fabian, hello.” (To a prospect named Maximilian)

Why it hurts: The absolute classic. I was thinking about the last meeting. Pure disrespect, even if it was unintentional. A massive minus point right in second 1.

2. Show uncertainty when it comes to objections

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

Why it hurts: A prospect asked for GDPR details. My answer seemed improvised and uncertain. In the DACH region, this is an immediate deal killer for enterprise customers.

3. Spongy value proposition

“That would be something that would make sense for you.”

Why it hurts: Phrase alert! Instead of mentioning a specific ROI (e.g. “This saves you 4 hours a week”), I use a filling rate that provides absolutely zero added value.

4. Offload the mental load onto the buyer

“What else would you need from us, Florian, to support you there?”

Why it hurts: The buyer often does not know how to buy internally. As a seller, you must me Tell him the buying process (“We'll do X next to convince your boss”), not the other way around.

5. The ego show

“I'm in Graz today, so we have a similar program, I'll say.”

Why it hurts: The Prospect talked about a stressful project. Instead of asking (“What exactly makes it so stressful right now?”) , I immediately bring the conversation back to myself.

6. Use internal sales jargon with customers

“Budget, authority, needs, timeline — these are your specific topics.”

Why it hurts: BANT is a framework for us sellers, not for customers! To clear the prospect with internal jargon seems arrogant and unnatural.

7. The missed discovery moment

“The reason for the call is really to get to know you a bit better...”

Why it hurts: Too fluffy. Too imprecise. No one has time for 30 minutes of “getting to know each other.” The announcement must read: “We want to check whether Problem X is currently costing you money.”

8. Interlaced “word salads”

“And I'll say it right in advance when we say, hey, this pilot phase, that does, we can work well with you there, then of course there is also a long one.”

Why it hurts: Monologue alert. I talk about my head and neck, lose the thread and at the end of the sentence the prospect no longer knows what the beginning was.

9. Focus on us, not on the customer

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

Why it hurts: It is not a matter of we We are happy or “have a look”. The point is that the customer has solved a measurable problem at the end of the pilot phase.

10. The passive conclusion

(Waits until the customer asks for the legal documents) “Of course, then again our data protection...”

Why it hurts: I let the customer take the lead. If I had proactively addressed the issue of data protection in minute 15, I would have radiated sovereignty. It made me look like I was driven.

Takeaways: What sales leaders and account executives need to learn

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

No matter how much experience you have, whether you're an AE or the CEO of the company — you develop blind spots. You think you're the master of questioning, but the hard data shows you that you talk yourself 60% of the time and forget the most important “impact” questions.

For account executives (AEs):

1. Know your speak ratio: If you're hoarse after the call, you've done something wrong. Your job at Discovery is to get the customer talking.

2nd Embrace the Silence: If the customer describes a problem, count to three internally before you answer. Give him the space to finish the idea. Often the really valuable information (the real pain) only comes in the postscript.

3rd Analyze your own tape: Top athletes watch the video analysis after every game. Why should we work differently in B2B sales, which often involve millions? Watch your own calls, recognize your patterns and work specifically one Weak point per week.

For sales leaders, VPs, CROs:

1. Data beats gut feeling: In the 1:1 review or pipeline meeting, don't rely on the gut feeling of your reps (“The call went great, they love our product!”). Use Revenue Intelligence to see whether pain points have really been uncovered or whether the Rep only delivered a monologue for 45 minutes.

2nd Create a culture of psychological safety: When the CEO makes his own mistakes transparent, this relieves the team of the fear of analysis. Mistakes in calls are not a weakness, but the only way to get better.

3rd Scale your best practices: If you see that your best rep immediately alleviates objections to the GDPR with a specific wording 90% of the time, make this excerpt available to the whole team.

Final thoughts

The distribution of the future will not be dominated by those who have the loudest organ or the slickest pitch deck. It is won by teams that are prepared to objectively measure their own performance, work hard on their weaknesses and make data-driven decisions.

What is your speak ratio in the last Discovery Call? Did you find your prospect's real problem or just pitched your product? Start analyzing your calls. The truth may hurt at first, but it pays off in cash and higher win rates in the end.

Further resources:

www.geraldzankl.com

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