Episode 15 - How AI can help with Floating/Speccing candidates

Shaun Henry is the Co-Founder of Floats. Frustrated by the outdated tools he was using in his tech recruiting agency he co-created floats. And today he chatted with us about how AI and tech can help recruiters leverage the strategy of floating or speccing candidates.

Q1 "To start, can you explain what reverse marketing is when it comes to leveraging candidate profiles for sales? How does this concept work, and why is it particularly valuable in a sales context?”

Q2 "How can AI tools be utilised to analyse candidate profiles and identify potential sales leads? What specific data points do AI algorithms look for in a candidate profile that can indicate a strong sales opportunity?"

Q3 "Once potential leads are identified through AI, how can sales teams use this information to craft personalised sales strategies? Can you give us some examples of how AI-driven insights have helped tailor approaches to specific clients or industries?"

Q4 "How does leveraging AI for reverse marketing candidate profiles impact conversion rates? What are some of the key success metrics that sales teams should focus on to ensure they’re making the most of AI-generated leads?"

Q5 "While AI offers powerful tools for identifying and nurturing leads, there’s still a human element involved in sales.

Can you give us a few tips on how sales teams can balance the use of AI with personal touchpoints to build genuine relationships and close deals effectively?"