AI handles the routine. Humans make the decision. The winner will be whoever orchestrates both — not whoever automates humans away.
For decision-makers in banking, insurance, and retail: why personal consultation is the most valuable moment of the customer journey, what booking data reveals about customers — and how advisory turns into a growth channel again.
Revenue = Find × Anchor × Convert × Extend
What the formula means → FACE Framework
Four variables that multiply — being found, keeping the appointment, closing, coming back.Articles across four pillars. Strategy and industry posts are aimed at executive leadership, while enablement articles are for those who speak with customers daily. In "Founder & GTM", I write personally: no recommendations, no conclusions.
A full calendar with long lead times is not high capacity utilization, but an optimistic estimate.
The decisive factor isn't salary, but the proportion of actual conversation time.
The selection effect almost everyone overlooks — and the metric that actually matters.
Companies invest millions to generate interest — and then respond with a contact form.
What the booking curve reveals about real customer behavior — and why bookability is the new business hours.
A no-show costs three times over: capacity, opportunity, morale — and yet it is the fastest problem to solve in sales.
Anyone scheduling an appointment just three months in advance negotiates against a competitor's offer instead of advising.
Calculate demand in ten minutes, secure capacity in the summer — and why more advertising in October is the wrong answer.
Why the consultation hour is the relevant metric in advisory-intensive retail — with a calculation example.
What is dying is the transactional branch — what's missing is the digital pathway to consultation.
The walk-in is unpredictable and unmeasurable — the appointment is both.
The role change has two sides, and both are true. An interim review in the middle of the process.
The security questionnaire is not the hurdle before the sales process. It is the sales process.
Five honest lessons — including the most humbling one.
Channels, QR rules, channel tracking — and why optimizing only makes sense once you have sufficient volume.
Why existing client advisory is a conversation type of its own, where the triggers lie, and six measures to open up access.
Five fields instead of meeting minutes, the legal situation regarding recordings, and the first 48 hours.
Seven numbers, one worked example, and the five mistakes that cause business cases to fail in committee.
The invisible data gap, twelve key questions — and what you specifically decide with the data.
Benchmarks, measurement cycles, and the four metrics that are enough if there's only room for four.
Five wording rules, new client vs. existing client messaging, and ready-to-use blueprints.
Five good qualification questions, four that cause damage — and the elegant way out after booking.
The only phase you can't make up for later. Four fields that must be filled by the end.
What the best do differently — and the test that ends any debate about it.
Why permission to say no is the most effective way to get a yes.
Four building blocks, four ready-to-use templates — and the kitchen table test.
Ten touchpoints, clearly mapped — plus four warning signs of over-automation.
Timing, effort, the ban on gating, and what else applies in regulated industries.
Five use cases, four deliberate taboos, and three rules for the team.
Four mistakes that destroy advisory capacity — and none of them cost budget to fix.
I am the CEO and Co-Founder of Calenso AG and, as Global GTM Advisor, I support the international expansion of jrni. For over a decade, I have been building software that enables banks, insurers, and retailers to make personalized advice digitally accessible — from Rothenburg for Switzerland, with jrni for the world.
I build with AI myself and automate wherever automation outperforms any human: scheduling logic, routing, reminders, follow-ups. That is precisely why I see every day where the line is drawn. AI handles routine tasks faster, cheaper, and 24/7 — but the decision, the trust, and the deal still happen between people. Those who orchestrate both win. Those who automate humans out of the equation automate away their own margin.
Revenue Economics is my personal perspective: data from over 150 enterprise implementations, theses on the appointment economy, and honest lessons from building multiple ventures. Executive strategy, practical craft for advisory teams — both belong together. The opinions expressed here are my own.
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