GM views car dealers as a primary source of customer insight, not just a sales channel. Dealers effectively run continuous A/B tests on messaging and can provide real-time feedback on what resonates with customers—what "makes their eye sparkle"—which is often more potent than formal research.

The weeks following a launch are for intense learning, not just promotion. The goal is to quickly identify high-adopting customer segments and then execute mini 'relaunches' with tailored messaging specifically for them, maximizing impact and conversion.

The ultimate test of a sales story isn't engagement, but whether it prompts the customer to take a specific next step. When debriefing a sales call, if no action was secured or the prospect doesn't ask follow-up questions, you should assume your story failed to connect and was not relatable.

Go beyond obvious metrics. Measure rep confidence—their belief and authenticity on calls—as a leading indicator of success. Also, measure velocity as the reduction of friction across the entire customer journey, from lead to successful onboarding, not just a simplistic 'time-to-close' metric. These qualitative measures are key.

Effective messaging avoids product pitches and instead creates "perceptual curiosity" by sharing an insight that contradicts a buyer's beliefs about their own process. This makes them re-evaluate their "good enough" solution and discover its hidden costs, creating organic demand for a new way.

Instead of scrapping your entire sales script after a bad call, make one small tweak. Test that change over a significant number of conversations (e.g., 10) to validate its effectiveness with data before making further adjustments. This prevents overreacting to single failures.

Don't get distracted by the vague goal of "achieving product-market fit." Instead, focus on tangible, measurable signals of traction: Are people buying the product? Is the messaging resonating? Do you have the right sales funnel? These concrete metrics provide actionable feedback that leads to success.

Abstract jargon like 'real-time visibility' is meaningless to buyers. To make messaging punchy, translate these abstractions into concrete language that describes the buyer's actual experience, like changing 'high performance' to 'V8 engine.'

Use AI tools to analyze sales call transcripts to see if new messaging is being adopted by sales and how it resonates with customers. By running prompts to check for specific keywords, you can quantify message adoption, discover what's working, and pinpoint areas where sales needs more training.