Early enterprise customers won't invest time to become proficient with a complex data tool. Founders must join their meetings, operate the software for them, and surface insights to demonstrate value. This manual "data monkey" role is crucial for driving initial adoption.
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Early-stage founders, especially those who are analytically minded, must resist the comfort of spreadsheets and data. The most crucial activity is direct engagement and selling, even if it feels uncomfortable. No amount of analysis can replace the impact of the founder personally championing the product.
To effectively serve SMBs, B2B marketers must evolve their approach from collaboration ('do it with them') to automation ('do it for them'). SMB owners are not marketers and lack the time and staff to manage complex tools. The most valuable service is one that simplifies complexity and leverages technology to execute marketing tasks on their behalf, empowering them to achieve more with minimal direct involvement.
While customer feedback is vital for identifying problems (e.g., 40% of 911 calls are non-urgent), customers rarely envision the best solution (e.g., an AI voice agent). A founder's role is to absorb the problem, then push for the technologically superior solution, even if it initially faces resistance.
In the pre-product-market fit stage (the first ~20 deals), the sales leader's primary role is not just closing revenue, but acting as a product manager. They must be in every meeting to gather objections, find pockets of value, and translate raw market feedback into actionable insights for the engineering team.
At the $1-10M ARR stage, avoid junior reps or VPs from large companies. The ideal first hire can "cosplay a founder"—they sell the vision, craft creative deals, and build trust without a playbook. Consider former founders or deep product experts, even with no formal sales experience.
SMB owners are not asking for technologies like AI by name. They are asking for outcomes and efficiency. B2B marketers should position advanced features not as 'AI' or 'video tools,' but as embedded, invisible solutions that make a marketing hour more impactful. The goal is to provide tools that a business owner can naturally use to get a return, without needing to become a technology expert.
Enterprises are comfortable buying services. Sell a service engagement first, powered by your technology on the back end, to get your foot in the door. This builds trust and bypasses procurement hurdles associated with new software. Later, you can transition them to a SaaS product model.
Early versions of AI-driven products often rely heavily on human intervention. The founder sold an AI solution, but in the beginning, his entire 15-person team manually processed videos behind the scenes, acting as the "AI" to deliver results to the first customer.