Business rules and intuition aren’t the best guides for your sales process today. Your data is rich with information about what drives customers to convert. External data can also add insights. Machine learning takes full advantage of all that data to score and prioritize leads.

Feed AI-generated predictions directly into your CRM so teams can prioritize deals most likely to close. Don’t waste time and money on leads that won’t go anywhere. With scores at their fingertips, your revenue teams will work more efficiently than ever.

With every successful sale, you get more data on what works. Put that data to work. Ongoing model updates ensure you’re always guided by the latest information. Stay on top of market changes with continuously refreshed lead scoring models.

Marketing spend is more cost-effective when you retarget only potential customers who are likely to convert. Spend more efficiently and increase your conversion rate by reaching out to only high-priority, qualified leads.

Which data points move leads toward a successful sale? ML models reveal which factors affect predictions most, helping you shape both individual outreach and overall strategy.

Better understanding the customer journey lets you build a more personalized experience. Optimized customer segmentation and more individualized outreach will boost customer loyalty, even early on.