Lattice

article thumbnail

In the Land of AI, Context is King

Lattice

The payoff here is between 5% – 14% higher sales quota attainment, 3x higher conversion rates and 10x higher revenue. Ultimately, we’ve found that without this context, the AI recommendations are not adopted by sales – because they don’t (a) trust them and (b) know what to do with them. I’d love to hear your thoughts.

article thumbnail

The Next Generation Platform for Account-Based Everything is Here!

Lattice

They’ve seen up to 3x higher conversion rates and 15% higher sales quota attainment on average. They’ve seen about 20% higher conversion rates on outbound. With this in mind, I’m proud and excited to tell you about the latest release of our Lattice Predictive Insights Platform.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Fix your Funnel with Predictive Marketing and Sales

Lattice

Some of the funnel problems predictive analytics have improved for Lattice customers include: Conversion rates, deal size per account, deal velocity, marketing and sales efficiency, alignment between sales and marketing, and ad-spend efficiency.

article thumbnail

Making the Case for Predictive Marketing and Sales

Lattice

This kind of scalable, targeted outreach ensures that conversion rates increase along with the revenue pipeline. While these remain the top use cases for predictive, there is always room for more!

article thumbnail

Marketing Nerds Take Over MME16

Lattice

Executives from Oracle, Integrate, Demandbase, MediaMath, 6Sense, Mintigo and Lattice Engines participated, and discussed the key reasons why data-based ABM programs are driving higher conversion rates and increased alignment between marketing and sales.

article thumbnail

The Most Important Metric for Predictive Marketers

Lattice

conversion rates, time-to-close, average deal size, opportunity creation rate) simultaneously. This leads to two questions: a> Can you model buying behavior accurately? and b> If you can build an accurate model, how do you plug it into your workflows in order to realize the promised improvements?