Understanding buyer needs is crucial but challenging, especially as businesses scale. Traditional methods often result in data loss and miscommunication. Leveraging AI, like FullContext’s Buyer Copilot, enables capturing and analyzing buyer queries accurately, providing insights to sales, marketing, and product teams. This approach ensures alignment and better serves prospects who may not engage directly with sales, enhancing the overall buyer experience.
Insights
The Cost of Unqualified Demos
7 minute read|
Published
Gordon HemptonTraditional lead qualification in B2B sales often results in wasted time and effort, with up to 80% of conversations going nowhere. Historically, sellers held the power, but the internet has shifted this to buyers, who now have access to extensive information. Despite this, sellers persist with outdated methods, creating a significant gap and inefficiency. This legacy process costs around $179 per unqualified lead in wasted time and resources. Shifting to AI Qualified Leads (AQL) can bridge this gap by using AI models to provide buyers with relevant information and lead natural conversations. This approach increases efficiency, reduces Go-to-Market (GTM) waste, and allows for a more scalable sales process. Discover how Buyer Copilot enables buyer-led GTM motions without additional costs.
Insights
A Tale of Two Cities
6 minute read|
Published
Gordon HemptonBuyers and sellers live in different worlds. We bridge this gap with Buyer Copilot, ensuring free info flow, AI-driven efficiency, and trust-based relationships. Join us today!