Copy the exact growth process we use to help our clients leverage signal & AI, filling their calendars with qualified meetings while reducing their sales cycles to weeks.
Without increasing head-count of their sales team, cold calling, online advertising, events or relying on referrals and their network.
EXPERIENCE WITH OVER 432+ B2B COMPANIES
If you are a founder, CRO, CSO, Sales Lead or VP Sales at a DACH based B2B company with a complex offer that is highly explanatory (and needs to be sold by people) this is for you.
Most companies we work with have grown in the past years through their own network, referrals or inbound requests. Some had great experiences with cold calling or going to industry events, fairs. These channels decreased in efficiency over time, and it’s getting harder and harder to actually speak with enough relevant people. Going from a first meeting to winning an actual new customer seems even more difficult than before.
It can feel like:
Everyone has budget cuts
Nobody is ready to make an actual decision, they just want to hear what’s going on
Nobody is ready to make an actual decision, they just want to hear what’s going on
The amount of stakeholders involved to make a buying decision for explanatory products is constantly increasing
CFOs and Finance people get more involved and buying decisions are more focused on ROI
Sophisticated buyers are speaking to multiple of your competitors and prices get driven down
More and more competitors emerge, and it gets harder to position with a clear USP
In 2024 the macroeconomic environment is marked by volatile interest rates, inflationary pressures, and increasing capital costs.
We've built and refined the PREDICT Operating System over the past 4+ years whilst working with more than 432 B2B companies. Here's what happens when they implement it:
GOYA Finance: 18x ROI and €63k new business revenue within 6 weeks as Mid-Market Financial Service Provider.
Dr. Maier & Partner: 3-5 qualified leads per week and 2 signed contracts (€90k+) after 5 months. 51-200 employees, Executive Search.
Instaffo: 5x ROI and significant efficiency increase within 6 months as B2B SaaS
These aren't outliers. See all Case Studies here:
As a founder or executive of an established B2B company with happy customers and product market fit, you know that your solution provides significant value in the marketplace.
Most companies we work with have grown through their own network, referrals or inbound requests. Some had great experiences with cold calling or industry events. These channels decreased in efficiency over time and it's getting harder to actually speak with enough relevant people.
It can feel like:
The macroeconomic environment is marked by volatile interest rates, inflationary pressures, and increasing capital costs. In this environment, only those focused on profitable growth will thrive.
In this context, the relationship between Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV) is exceedingly important and must be carefully managed.
The reason is simple. If CAC is too high relative to LTV, a business loses its ability to generate profit and will burn through cash quickly. An unsustainable and dangerous strategy in a market where capital is expensive and less available.
On the other hand, this opens the possibility to outpace competition and thrive for those that achieve a strong ratio of at least 3:1 LTV/CAC.
This ratio means that for every euro spent on acquiring a customer, the company should generate at least three euros in customer lifetime value. This balance ensures that the business is not only growing but also generating sufficient return on its marketing and sales investments to sustain long-term profitability.
But decreasing CAC isn't just about cutting costs.
It is as much a function of cost as it is of driving efficiency along the sales funnel.
Think about it. In a hypothetical scenario where you and your competitor have the exact same workforce and cost structure—those with the more efficient processes throughout the funnel will win. Those who cannot win new customers repeatedly, sustainably and profitably will stagnate, lose market share and eventually perish.
[ "Download the full thesis document and LTC:CAC Framework Here”
Read our Thesis
In-depth breakdown over 38 pages - plus the exact frameworks, diagnostics, and activitiees you need to actually implement it.
The definite way to hyper-efficient growth and full predictability in the shortest time-frame possible.
We are the founders of PREDICT and have built and refined the PREDICT Operating System over the past 4+ years whilst working with more than 432 B2B companies.
This includes names like Randstad Digital, Instaffo, Eficode, Dr. Maier & Partner, DRIP Agency, Aybee and many more.
With hundreds of B2B DACH companies with explanatory products and services and millions generated in profit, our track record isn't even funny.
The PREDICT Operating System is the 2-step standard operating procedure we use with our clients to ensure that every B2B company can scale as efficiently and profitably as possible. It is based on data transparency, signals and AI allowing for the highest probability of success whilst reducing the risk of failure to a minimum.
Activity 1: Reverse-Engineering Predictable Lead Inflow with Signals & AI
In the world of B2B sales with complex solutions, generating new customers begins with one essential step: Getting qualified meetings on the calendar.
While most Founders and Execs obsess over product features, pricing, or their next marketing initiative, the reality is that the number of possible meetings is dictated by three far more fundamental factors:
The answer to these questions is not only critical for understanding your growth potential in a strategic context but also for the efficient allocation of marketing resources.
Activity 1 breaks down into four steps:
The Result: A calendar full of qualified meetings.
Activity 2: Optimizing for a Shorter Sales Cycle
Once we have implemented the right steps to generate a predictable inflow of relevant meetings, we don't want to stop there.
The length of the sales cycle heavily influences your customer acquisition cost because for every day that passes, you need to pay your experienced (and expensive) sales reps or spend your own time as a founder in numerous meetings, prepare workshops, travel to in-person events. Each of these interactions add to your Customer Acquisition Cost—even if you're unsure if the deal will even close.
When going back to first principles, we see that there are 3 questions that influence the length of the sales cycle:
If we do Activity 1 correctly, the first 2 variables are given—BEFORE we start with our sales process. We're basically two-thirds of the way there already.
Activity 2 breaks down into four steps:
The Result: Reduced sales cycle length and improved meeting quality.
PREDICTABLE Lead Inflow, Maximized LTV:CAC ratio, efficiency, profitability and EBITDA.
Compound Effect of Activity 1 and Activity 2, when iterated on real market feedback and implemented in the right order:
This ultimately results in a predictable new business engine and a high LTV:CAC ratio → crazy EBITDA and valuation.
The full thesis breaks down every single step of this Operating System to its core:
In less than six months, we achieve results so impactful that 95% of our clients stick around. Here's how:
Read our Thesis
In-depth breakdown over 38 pages - plus the exact frameworks, diagnostics, and activitiees you need to actually implement it.