How AI Can Predict When Your Next Customer Is Ready To Buy
Most B2B marketers think they know when their customers are ready to buy. Often they don’t.
Many send follow-up emails too early. They chase leads that aren’t ready. They ignore the ones who are. And they waste time and money in the process.
What if you could predict when a lead is most likely to convert? AI can help do that.
How It Works
Predictive AI scans behavioural signals—like repeat website visits, time spent on high-value content, and engagement with emails or LinkedIn posts. Then it scores leads based on their likelihood to convert.
This means:
- Less guesswork– You’re not blindly following up on leads that aren’t ready.
- Better timing – AI tells you when the interest is highest, so you engage at the right moment.
- Higher conversions – No more wasted efforts on the wrong prospects.
Try This:
Ask ChatGPT or any AI sales tool:
- “What behavioural signals indicate a lead is ready to buy?”
- “How should I prioritise leads based on intent?”
- “Generate an email sequence for high-intent leads vs. low-intent leads.”
Real World Example
A building materials manufacturer struggled with managing over 10,000 inbound leads per month. By implementing AI-driven lead scoring, they automatically prioritised high-intent prospects, optimised their sales process, and improved their conversion rates significantly.
Source: Gabriel Sales – AI Lead Scoring Case Study
The Bottom Line:
Stop relying on hunches. Let AI help show you when a lead is hot, and act before your competitors do.
Try it and see how your results change.
