When Buyers Don't Care: Stop Selling Features and Start Selling Value
Kevin Lawson and Sean O'Shaughnessy argue that salespeople consistently make the mistake of selling product features instead of the outcomes and problems they solve for customers. Using examples from data prospecting tools, janitorial services, and college admissions, they demonstrate that buyers don't care what a product does technically — they care what changes for them as a result. The episode encourages sellers to interview their best customers to discover the real value language that wins deals without competing on price.
Summary
In this episode of Two Tall Guys Talking Sales, Kevin Lawson and Sean O'Shaughnessy tackle a deeply embedded sales habit: describing products by their features rather than by the problems they solve. Kevin opens with a critique of sales intelligence platforms like Apollo, ZoomInfo, and Seamless AI, which market themselves by the size of their databases — 10 million, 20 million, 180 million contacts. He argues this is a textbook feature-selling mistake, because no salesperson has ever needed 10 million contacts. What they actually need is four specific people at thirty assigned accounts. The feature (database size) is irrelevant to the real need (targeted, actionable access to decision-makers).
The hosts extend this logic to their own business as fractional sales leaders, acknowledging that nobody wakes up wanting a fractional sales leader or a sales infrastructure. What buyers actually want is a reliable revenue-generating system, high-quality sales talent, and predictable business growth. This self-aware example reinforces that even the hosts must practice what they preach.
Kevin tells a story about a Jani-King sales rep who served hospitals. Rather than selling cleaning chemicals, microbial kill rates, or service schedules, the rep sold the idea of a safe, sterile environment for children receiving serious medical care. The emotional and mission-driven framing of the outcome — protecting vulnerable kids in a scary place — was far more compelling than any product specification. This example illustrates the core thesis: selling the problem solved is more powerful than selling the product itself.
Sean adds a personal story about choosing a college in the late 1970s, a time of high unemployment and economic anxiety. The college that won his enrollment did not lead with curriculum quality or class sizes. It led with a single outcome-focused claim: 100% of graduates for the past eight years either went to graduate school or found a job within six months. That outcome-driven message was directly relevant to what Sean, as an anxious young man entering a difficult job market, actually needed to hear.
Sean introduces the PONI framework — Project, Old way, New way, Improvement — as a structured method for extracting value stories from existing customers. He encourages sellers to visit their top five to ten customers, ask them to demonstrate how they use the product, and then probe for what changed as a result. The improvement that emerges from that conversation is the real sales message that should be used in every future prospecting interaction.
Kevin addresses the trap of price-based selling, sharing that early in his career he opened calls by offering to save customers money. He explains why this trains buyers to evaluate only on price, invites competitors to undercut on specific products, and ultimately positions the seller as a weak competitor easily displaced. He argues that sellers who lead with price invite a race to the bottom and make themselves vulnerable to FUD — fear, uncertainty, and doubt — planted by competitors who find a cheaper version of one product and use it as a wedge to take the whole account.
The episode closes with a call to action: stop describing what you sell and start proving what changes for the customer. The hosts invite listeners to join the B2B Sales Lab, a community for salespeople and sales leaders to work through real challenges together during weekly office hours.
Key Insights
- Kevin argues that sales intelligence platforms like Apollo and ZoomInfo make a classic feature-selling mistake by advertising database size, when what salespeople actually need is precise access to a handful of specific contacts at a small number of assigned accounts — making the millions-of-contacts pitch entirely irrelevant to real buyer needs.
- Kevin uses the Jani-King hospital example to argue that the same physical service — cleaning — becomes dramatically more compelling when framed as protecting children receiving serious medical care in a sterile environment, rather than being described through chemical specifications or sanitation percentages.
- Sean claims that his college enrollment decision was driven not by curriculum quality or class size, but by a single outcome-focused statistic: 100% of graduates for eight consecutive years either continued to graduate school or found employment within six months — directly addressing his anxiety about job security in a difficult economic climate.
- Kevin argues that opening a sales call by promising to save a customer money actively trains the buyer to evaluate only on price, which then invites competitors to find a single cheaper product, use it to plant doubt, and displace the seller from the entire account by reframing the conversation around value they can offer.
- Sean contends that sellers can fix their value messaging by visiting their five to ten best customers, asking them to show how they use the product, and then asking what changed — because the improvement the customer describes is the real sales message that should replace all feature-based language in future prospecting.
Topics
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