GTM for funded and financed startups
The perfect Go-to-Market (GTM) system to get started.
Do you already have funding or a first financing round? We help you turn your product into revenue.
We implement data sources, write your outreach with you and define the sequence, fine-tune the pipeline and automate follow-ups in your CRM.
60-minute free intro call.
Scope
The same building blocks, different depth
GTM for startups
Lead source: one fit profile, one run per month
Messaging & sequences: messaging and one sequence for your most important channel
Pipeline: standard stages from our template
Last mile: follow-up sequence in your CRM
Term: six months
GTM for companies
Lead source: several segments, source permanently connected to the CRM
Messaging & sequences: per segment, sequences per channel
Pipeline: your own stages with entry and exit criteria
Last mile: automation in your existing stack
Term: twelve months
Process
From the first meeting to a running sequence
1 · Fit profile & lead source:
Companies from the commercial register, filtered by your fit profile. A language model reads each company's website and derives attributes the register does not contain: specialisation, offering, open positions, growth signals. Every attribute stays linked to its source.
2 · Pipeline:
Stages from “new” to “closed”, with fixed criteria for moving on. Scoring follows your fit profile, not a black box: you can see why a lead is at the top. Only the top score tiers are contacted.
3 · Messaging & sequence:
Buyer persona, messaging per segment and channel, objection handling. The copy is written with you and only goes into the system once you have approved it. Optional: sales support drawing on more than ten years of practice.
4 · Last mile:
Your sales sequences run from the CRM through your own accounts. An AI model recognises replies, out-of-office notices and buying signals and sets the pipeline stage. For every contact the system records where the data comes from, on which legal basis the contact is approached and whether an objection has been raised. For leads in advanced stages, an AI agent also does research before the conversation.
Price
Setup fee + monthly operating fee
Price for startups
€7,500.00
Setup: €3,000 net, one-off.
Operation: €750 net per month for six months. Businesses only, plus VAT.
- Data pipeline with AI enrichment
- Pipeline, scoring and automation in the CRM
- Signal detection and documentation per contact
- Messaging and sequences
- Handover and training
Offer for businesses only. Prices net, plus VAT.
Frequently asked questions
We are only a handful of people. Does this still work for us?
Yes, as long as you already have funding or financing and sell to businesses. What matters is whether you can describe your target customers, not the size of your team.
Why a minimum term of six months?
Because the fit profile and sequences are sharpened over several runs. Setup is billed once (€3,000 net). The six months of operation (€750 net per month) cover one data run per month, model maintenance and adjustments; the calibration data from the first runs feeds into the later runs.
Where does the data come from?
From the commercial register, obtained through a register data service, and from the companies' own websites. Other sources from other providers can of course be connected as well.
We don't have a CRM yet.
Then we set up a low-cost one for you and help you configure it.
Who sends the messages?
You do, through your accounts. We set up the automation, while you send the campaigns or emails.
Can data protection and the UWG (German Unfair Competition Act) be covered?
Yes, on request. For every contact the system records where the data comes from, on which legal basis the contact is approached and whether an objection has been raised; this documentation per contact is included in the price. Where we process personal data on your behalf, we conclude a data processing agreement under Art. 28 GDPR.
What if the first results don't fit?
Then we adjust the fit profile or the sequence before the next run. By generating calibration data, we can feed what we learn into later runs.