Subscribe: https://www.youtube.com/@AIPoweredGTM

Example: https://chatgpt.com/share/18e6a253-66bd-4c17-80af-9af44b60ddb5

Jonathan Moss on LinkedIn: Leads shouldn't simply be thrown over the fence to sales! They should only…

LinkedIn Post

Leads shouldn't simply be thrown over the fence to sales! They should only be routed once they display clear intent and a higher propensity to close. It's time to ditch the 'quantity over quality' mindset and prioritize high-value opportunities. Let's stop wasting sales' time on tire-kickers and focus on those ready to roll!

Oh the classic story about sales reps chasing every lead like dogs chasing cars, spending hours on leads that go nowhere, while the real opportunities slip through the cracks. Frustration grows with each passing quarter, missing targets and feeling the pressure mount.

🌶️ Take: MQLs should not be the sole responsibility of marketing and marketing shouldn’t have MQL goals that are tied to compensation or as a measure of success. MQLs are just one of many inputs in the revenue machinery.

🤘tip: Sales, marketing, customer success and even product teams should collaborate to continuously refine what constitutes a qualified lead using closed won and customer expansion/retention insights. This cross-functional approach ensures that the leads entering the pipeline are of the highest quality, driving productivity and revenue.

✨ tip: Use ChatGPT to build out your lead scoring model include your closed won, customer expansion and churn data for it to become more intelligent to your company. Example: https://chatgpt.com/share/18e6a253-66bd-4c17-80af-9af44b60ddb5

💡: Companies that prioritize leads based on AI-driven insights see a 45% increase in sales productivity (Source: McKinsey).

➡️ GTM teams should have the following in place to ensure quality of leads with a high propensity to convert to opportunities and ultimately close to produce revenue.

1️⃣ Implement Lead Scoring Tools: Use AI-powered lead scoring tools or create your own scoring to rank leads based on their likelihood to convert.