Lead scoring is an objective ranking of one sales lead against another. It not only helps align the proper follow-up with the corresponding inquiry, but it also enables marketing and sales professionals to identify where each prospect is in the buying process.
The process of defining lead scores improves alignment and collaboration between marketing and sales teams. After all, by jointly establishing an objective definition of a quality lead, sales and marketing can exchange better feedback on the quality of leads being passed to sales.
Additionally, lead scoring helps ensure that the most promising leads are followed up on immediately by prioritising leads according to their revenue potential and buyer readiness.
With the general availability of Eloqua's Advanced Intelligence function, you can now enhance your lead score models with additional values like Fatigue Levels and the Account Engagement Score.
Step-by-step Lead Score Model Design:
- Practical guidance on configuring, customising, and optimising your Eloqua Lead Score model for better lead qualification and sales alignment
AI-Driven Contact & Account Data:
- See how Eloqua’s Advanced Intelligence features, like Fatigue Levels and Account Engagement Scores enable smarter segmentation, personalisation, and campaign timing
Real-World Use Cases:
- Learn how top-performing teams are using AI-powered insights to boost engagement and drive measurable results
Eloqua Release 25C updates & more
- We also shared a few details from Oracle about the Eloqua development roadmap