AI-driven sales & marketing strategy
Sales based on evidence.Instead of gut feeling.
We combine market analysis, CRM data and AI-supported evaluation into a sales strategy that justifies its priorities — not merely enables them.
Starting point
AI in sales is not a tooling problem.
Most companies already own tools for automation and analysis — and use them for the same lists as before. The limiting factor is rarely the technology, but the question of which segment to address first and how that decision can be justified.
We therefore start not with tool selection but with the data situation: which signals exist at all, how reliable they are, and which decision can genuinely be based on them. Only then do we decide what gets automated and what deliberately stays with people.
Services
What we build in sales.
- 01
Market and lead potential analysis
Assessing market segments by realistically reachable potential — including the question of which accounts in your CRM have never been examined.
- 02
Predictive analytics
Models for close probability, churn risk and portfolio development — with disclosed accuracy instead of opaque scores.
- 03
Outreach automation
Building sequences that differentiate by segment and trigger, with defined handover points to the sales team.
- 04
Data-driven pricing
Pricing logic based on actual deal data, demand elasticity and competitive situation — including the limits where judgement takes over.
- 05
CRM integration
Clean data flows between marketing, sales and service so analyses do not operate on three different states at once.
- 06
Content and channel strategy
Selecting channels with demonstrable audience reach, a topic plan and rules on who communicates which statement externally.
Outcome
What changes afterwards.
- A justified priority for segments, channels and prices instead of a list of possible activities.
- A data foundation in your CRM that analyses can actually access.
- Automation that strengthens sales — not one that replaces what only works in conversation.
Frequent questions on AI in sales.
Do we need a new CRM?
Where does the data for predictive analytics come from?
Can this be implemented in line with the GDPR?
How quickly do results show?
Repositioning sales?
Tell us how you currently acquire customers and where analysis stops helping — we will assess which steps are genuinely worthwhile.