Digitalization · 6 min read
CRM, automation, AI — the marketing tech landscape grows every year. Most digitalization projects fail not because of the tool, but because the tool comes before the strategy.
Key Takeaways
A marketing department decides to roll out a new CRM. Six months of implementation, significant licensing costs, painful data migration. A year later, the system is half-heartedly populated, the sales team still uses Excel, and the marketing manager wonders why the promised automation never materialized.
This is not an isolated case. It is the most common failure pattern in digitalization projects: the tool is chosen before the processes are understood. A CRM cannot fix broken sales processes. Automation cannot replace a missing strategy. AI cannot develop your positioning.
Before any new tool is introduced, Simon Förstemann analyzes the current state of your marketing stack. Which systems are already in use? Which are actually being used — and which are just being paid for? Where are the redundancies, data gaps, and integration problems?
In practice, marketing departments at small and mid-sized businesses (SMEs) carry between eight and fifteen active tool subscriptions. On average, only four to six are used regularly. The rest is sunk cost and overhead. A tech audit often saves money immediately — before a single new tool is introduced.
How do leads enter the pipeline? How are they qualified? Where does the pipeline lose momentum? How does information flow between marketing and sales? Which reports are created — and which ones are actually read? Process mapping sounds laborious, but it is the foundation of every sound technology decision.
Only after a tech audit and process mapping does CRM selection make sense. The right solution depends on team size, existing systems, budget, and the complexity of your sales processes. Salesforce is overkill for most SMEs. HubSpot is too limiting for others. Pipedrive fits perfectly in some contexts.
The decision should not be driven by vendor demos. It should be driven by the requirements identified during process mapping. Simon Förstemann helps companies formulate those requirements clearly — and then evaluate the market, not the other way around.
Automation makes sensible processes faster and more efficient. It makes bad processes faster at being bad. The key question: which touchpoints in the customer journey can be automated without degrading the personal quality of the client relationship?
Automation that typically makes sense: lead nurturing sequences, onboarding emails, reactivation campaigns, internal notifications triggered at defined lead scores. What should not be automated: personal first conversations, complex consulting situations, critical customer moments. The rule is straightforward — automate what already works well manually.
AI is not a universal marketing fix. But in defined use cases, it substantially changes productivity. Content scaling, A/B test evaluation, ad image generation, translations, first drafts of copy — these are areas where AI already delivers reliably today.
What AI cannot do: develop your positioning, define your brand voice, or make strategic decisions. Those remain human responsibilities. Simon Förstemann's approach is to set clear boundaries: where does AI genuinely accelerate work, and where does it substitute speed for quality without substance?
Start with a tech audit: which tools are in use, which are actively used versus just paid for, and where are the redundancies? Only then does strategic prioritization — and tool selection — make sense. Most SMEs discover they can cut 30–40% of their tool spend before adding anything new.
There is no single right answer. Salesforce is overkill for most SMEs. HubSpot is limiting for some. Pipedrive fits well in certain sales contexts. The decision should come from a documented requirements list — not from which vendor gave the best demo. Simon Förstemann helps companies write that requirements list before they ever talk to a vendor.
AI is reliable for content scaling, A/B test analysis, ad image generation, and first-draft copy. It is not suitable for positioning, brand voice, or strategic decisions. In 7 out of 10 digitalization projects, AI is either completely absent or adopted blindly without defined use cases. Both are mistakes.
Simon Förstemann works on the strategic layer: tech audit, process mapping, requirements definition, sequencing decisions. The result is a clear roadmap — what to implement, in what order, and what to skip. Implementation itself is handled by in-house teams or specialist agencies, with Simon providing direction and quality control.
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About the author
Simon Förstemann
Growth strategist & marketing advisor with 14 years of experience. 6 ventures founded, 3 exits, Red Dot Award and German Design Award winner. Works 1:1 with decision-makers — no agency, no workshops that lead nowhere.
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