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Zwischen Automatisierung und Akquise: Wohin entwickelt sich der Vertrieb? | Interview mit Daniel Saatzer #51

·30 min·2 clips

Daniel Saatzer reveals how he connects legacy systems to modern tech after 20 years in B2B sales.

1. The akQuise strategen podcast interviews Daniel Saatzer, a senior B2B sales professional at Seeburger AG, on the evolution of acquisition, AI in sales, and practical digital strategy. 2. Daniel introduces himself as having worked at Seeburger for almost two decades in the sales area, starting as a junior sales rep and developing into a team leadership role covering all of Germany. 3. The episode's core question is whether traditional cold acquisition still works, and what digital tools and AI mean for the future of B2B sales — and human judgment within it. 4. Daniel describes Seeburger's business as IT system integration: connecting legacy back-end systems, cloud applications, SAP systems, CRMs, and warehouse management systems via a middleware layer so they can exchange data in compatible formats. 5. He explains that system standardization is increasing across the industry, but companies continue to invest in siloed tools that create new incompatibility problems — which is why the integration market keeps growing rather than shrinking. 6. On cold acquisition, Daniel says classical cold outreach — calling central switchboards from yellow pages addresses found by driving through industrial areas — is no longer necessary because digital traces make it possible to build qualified target lists from external databases and LinkedIn before ever making contact. 7. He describes his own acquisition mix at Seeburger as entirely warm contact, combining LinkedIn outreach, ads, self-organized events, trade fair presence, webinars, and partner database access — with no single channel dominating. 8. On onboarding young sales professionals, Daniel describes a demographic gap at Seeburger: experienced, long-tenured salespeople are approaching retirement, while new hires from digital-native backgrounds need to be integrated into a highly technical, B2B-only product domain. 9. He outlines a structured onboarding model that has evolved from 'training on the job' two decades ago to a system combining a pre-boarding phase, LinkedIn Learning, internally created video libraries, and a buddy-system pairing new hires with experienced colleagues. 10. Daniel notes that the onboarding timeline is compressing: whereas two years was once acceptable for ramp-up in IT integration sales, Seeburger now targets six to nine months for a new hire to understand what the company does well enough to explain it to a customer. 11. On AI in sales, Daniel says tools like ChatGPT are useful but dangerous when used as substitutes for understanding, not supplements to it. 12. He describes administering vocational IT education exams where AI-assisted project work quality is visibly higher, but specialist interviews reveal that candidates cannot explain the reasoning behind their own submissions. 13. He draws a direct parallel with his teenage son, who copied ChatGPT-generated math solutions and, when challenged, quoted classmates who said the answer was what mattered — not the reasoning process. 14. His formulation is that AI should be used as a 'co-pilot or learning buddy,' not as a tool to which professionals 'hand over their brain in the morning and pick it up in the evening.' 15. He gives an example from his own ChatGPT use: catching a logical contradiction between paragraph 2 and a later section of a generated document — the kind of error only a reader who understands the material would catch. 16. On the biggest B2B sales challenge today, Daniel identifies organizational and human factors over technical ones: the shortage of skilled workers, the pressure of daily business crowding out learning time, and resistance to change among mid-career professionals whose skill set is being disrupted. 17. He acknowledges that AI is beginning to automate some routine sales activities (certain call types, for example), which is creating fear among salespeople — and argues the correct response is to focus development on the aspects of human sales presence that AI cannot replicate. 18. The episode is a structured but conversational interview, with Petra prompting and occasionally connecting Daniel's points to her own experience with an IT system house customer; the pace is measured and the format stays on topic throughout. 19. The episode suits B2B sales professionals, sales managers, and IT company founders who want a practitioner's perspective on digital acquisition, AI adoption, and team knowledge management. 20. Listeners looking for specific tool recommendations, acquisition scripts, or quantitative data on conversion rates will not find them here.

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