The FACE Framework: Four Questions That Determine Your Consulting Revenue
This model wasn't created at a desk, but from a frustration that I encountered repeatedly in over ten years of project work.
Why this model exists in the first place
For over a decade, I have been helping banks, insurers, and retailers make personal consulting digitally accessible—now spanning over 150 enterprise projects, and internationally since the merger of Calenso with jrni. During this time, I've noticed a pattern that repeats itself with astonishing consistency.
It almost always starts with the exact same sentence in the kickoff meeting:
The sentence that opens every project
“We need more inquiries.”
And almost always, that's not true. In the vast majority of cases, there is enough demand—it simply leaks away before anyone speaks to them. It leaks away because no one can book in the evening. Because a campaign ends with a contact form instead of an appointment. Because one out of every seven booked appointments falls through and nobody follows up. Because nothing happens after the conversation. And because existing customers, who would already be ready to buy, can't even book an appointment.
Yet the response to every revenue problem is: throw more budget at the top of the funnel. In other words, the most expensive of all possible measures—while three cheaper levers remain untouched.
The moment I started writing this down systematically was a meeting at a major financial services provider. On one side of the table, click-through rates, open rates, and cost-per-lead were presented to two decimal places. Then someone asked how many consultation meetings had actually taken place last month—and silence filled the room. In the end, they agreed on an estimate.
That is the real absurdity: The company's most expensive channel was the only one for which there were no numbers. Not out of negligence, but because appointments live in personal calendars where no data is generated. And what isn't measured cannot be defended in executive reports—it loses every budget battle against channels that can present a number.
Back then, I looked for an existing model to bridge this gap, but couldn't find one that fit. The classic sales funnel ends at the closed deal, ignoring the exact part where most of the revenue in consulting businesses comes from: existing clients. Satisfaction metrics like NPS capture sentiment, not mechanics. And the “digital first” doctrine treats personal conversations as a cost driver that should be automated away—which slashes margins instead of securing them in advisory-heavy businesses.
FACE is an attempt to close this gap: a shared language and a calculation for what happens between interest and the closed deal. It is not an academic paper, but an organization of what I have repeatedly encountered in practice—open to challenge, verifiable, and explicitly meant to invite debate. The value lies less in the model itself than in the fact that marketing, sales, and executive management are finally talking about the same four metrics.
The four questions
Every advisory business can be broken down into four questions. They sound simple—and in most companies, no one can answer all four.
The four questions
The FACE framework is nothing more than these four questions—with a name for each so you can discuss them within your organization, and a calculation showing why they belong together.
Why the four questions belong together
The most important point of the model is not the list itself, but the connection: The four metrics compound exponentially through multiplication. If you only work on one, you won't notice much. If you improve all four slightly, you change the result dramatically. A quick calculation makes this instantly clear.
Suppose 1'000 people show interest in a consultation per month—via the website, in the branch, or through a campaign. Here is what the typical journey looks like:
Now imagine you improve each of these three stages by about one-fifth—nothing dramatic, all completely doable: better booking experience, reliable reminders, well-prepared meetings.
Around 50% more deals closed—without an extra franc of marketing budget. That is the core of the model: Because the factors multiply, small improvements across multiple levers have a much greater impact than one large improvement on just one lever. And the three levers following the first usually cost significantly less than buying more top-of-funnel demand.
The fourth question—how many customers return—intentionally sits alongside this calculation. Its effect is felt not this month, but the next: Every follow-up conversation restarts the chain without having to acquire new demand at the start.
The four levers in detail
Each of the four questions has a name and a key metric. Together, their initial letters spell FACE.
This lever has two parts, and the second is almost always forgotten. First: It must be bookable—one click or scan leads directly into an appointment, not to a contact form or a phone number. Second: It must be visible, right where buying intent is generated.
Buying intent doesn't originate on your contact page. It originates while reading an article about rising interest rates, looking into a storefront window after closing hours, opening an annual statement, or talking to a colleague. The most common loss occurs outside office hours: In our platform data, 38 to 42 percent of all bookings take place after business hours.
A booking is a promise, not revenue. Without active intervention, roughly one out of seven appointments in advisory-intensive businesses gets canceled or missed. Three things reliably change that: the customer chooses their own slot, receives multi-stage reminders, and can reschedule with a single click instead of simply being a no-show.
Rescheduling isn't a compromise—it's the core: a rescheduled appointment is saved business; a no-show is lost business.
Not every conversation is worth the same. This is where it's decided whether the customer lands with the right subject-matter advisor, whether that advisor enters the conversation prepared—and whether the conversation focuses on diagnosing or presenting. In regulated environments, proper documentation is added to the mix, which is mandatory anyway.
The biggest insight comes from breaking it down: Which appointment type leads to closed deals and which doesn't? This single evaluation consistently reshapes campaign planning.
The biggest difference compared to the classic sales funnel: the model doesn't end with the closed deal. Every conversation should generate the next one—through an agreed follow-up appointment, a referral, or a lifecycle trigger already in the system: expiring mortgage, policy expiration, annual review, service appointment.
This is the only lever that creates growth without having to buy additional demand. And it is the lever that lies most dormant in almost all companies—usually because existing customers can't even book online.
The four metrics in one line
Anyone wanting to run the numbers in a management report needs precisely these four metrics. I call the result the Interaction Yield—the yield you extract from existing demand. The name is secondary; the calculation is key:
How many book × how many show up × how many close × how many return
An important caveat: Conversion rates require volume. If 4 out of 40 visitors book, a single additional conversion shifts the rate by several percentage points—without anything actually having changed. As long as the absolute numbers are small, energy belongs in distributing the booking link, not in tweaking copy. Reach first, refinement second.
Where does your company stand?
| Stage | How you recognize it |
|---|---|
| 1 · Reactive | Appointments happen by chance—phone, form, walk-ins. Nobody can tell how many conversations took place last month. |
| 2 · Bookable | Online booking exists, but only selectively—usually just on the website and only for new customers. Reminders run inconsistently. |
| 3 · Orchestrated | All touchpoints are bookable, including for existing customers. Routing by domain expertise, automated reminders, no-show rate included in the weekly report. |
| 4 · Self-reinforcing | Every conversation leads to the next: lifecycle triggers run automatically, follow-up appointments are tracked, cost per conversation decreases over time. |
Most companies I see—even large ones—are at Stage 1 or 2. The leap to Stage 3 is doable in 90 days and doesn't require a large budget. Stage 4 requires leadership work and takes longer.
The self-test: five questions for the leadership team
FACE Self-Test
Five minutes with the leadership team. A "yes" only counts if the answer is backed by data—not estimated.
If you can't answer three of these questions, you are flying blind with your most valuable sales channel. That's not a provocation—it's the baseline in the majority of companies I work with.
What sets this model apart
- Compared to the sales funnel: The funnel ends at the close. FACE is just getting started there—the fourth lever generates tomorrow's demand from today's conversations.
- Compared to satisfaction metrics: NPS and CSAT measure sentiment. FACE measures interaction as an equation with four manageable metrics.
- Compared to the "Digital First" doctrine: FACE is neither strictly digital nor analog—it's both: the path to the appointment is digital, while value creation remains human—in person, via video, or over the phone.
- And the answer to the AI question: The more routine tasks get automated, the scarcer and more valuable genuine human interactions become. FACE treats them as what they are becoming—a premium asset with its own bottom line, not a cost center.
Takeaway
Four questions: How many book, how many show up, how many close, how many return. Because these four metrics multiply, small improvements across multiple areas generate far more impact than one major tweak in just one—in our example calculation, easily 50% more closed deals with identical demand and budget. And three of the four levers cost significantly less than acquiring additional demand.