Founders often mistakenly market "AI" as the core offering. Customers don't buy AI; they buy solutions to their long-standing problems (e.g., more leads, better service). Frame your product around the problem it solves, using AI as the powerful new tool in your solution space that makes it possible.

The speaker lost a promising lead by describing his service with vague terms like "strategy" and "enablement." He realized he should have focused on the specific, tangible problems his service solves, like overcoming cultural differences for offshore sales teams calling into America.

Most pitches fail by leading with the solution. Instead, spend the majority of your time vividly describing a triggering problem the prospect likely faces. If you nail the problem, the solution becomes self-evident and requires minimal explanation, making the prospect feel understood and more receptive.

If your service description is confusing, prospects won't buy. The root cause isn't a lack of leads; it's a lack of clarity. Simplify your message to what a five-year-old can understand before you scale your outreach efforts.

Vendors fail to connect with SMBs on AI because their messaging is either too technical and intimidating or too aspirational and fluffy. SMB partners and customers want clarity, not hype. They need simple, concrete use cases demonstrating tangible business value like productivity gains or automation, not visions of futuristic robots.

Pitching a solution's features is ineffective because a product's value is meaningless without the context of a problem it solves. Buyers don't care about your "titanium coating" until they understand it solves their problem of "scrubbing egg crust off the pan." Start with the pain to make them care about your solution.

Generic AI-powered personalization is now table stakes and easily ignored. The new bar for cutting through noise is to immediately demonstrate why your offering is relevant to the prospect's specific challenges and why they should invest their limited attention.

Most pitches fail the "Sounds Nice but Signifies Nothing" (SNSN) test by using jargon that is meaningless to the buyer. Vague phrases like "leverage machine learning" create confusion. Instead, use simple, "dumb human language" that quickly and clearly explains what your product does and what it means for the buyer.

In the first minute of a cold call, resist the urge to pitch your product. Instead, lead with a 'reverse pitch' that focuses entirely on the prospect's potential problems. This approach is three times more effective than using solution-focused language, as it speaks to what the buyer actually cares about.