Carl Eschenbach (Sequoia Capital) and Yamini Rangan (Dropbox) outline the 5 stages of sales forecasting maturity
The challenges of poor CRM hygiene are not news to anybody. But when it comes to the lack of visibility into who your sales reps are meeting with, the magnitude of the problem might surprise you.
This new infographic puts a spotlight on how Clari unleashes the value of a company's CRM investment and improves the lives of everyone across the sales org.
CRM will always be a mandatory weapon for business, but a CRM system alone can’t keep up with the needs of modern sales teams.
True or false; every company needs a sales forecast. Not quite true. Every company needs an accurate sales forecast. The problem is that it’s incredibly tough to accomplish.
When I recently read an article in Destination CRM describing six ways machine learning can generate more value from CRM, my first thought was, “This is exactly why we built Clari.”
Building a new software category is a battle. Want a few war stories?
It’s a paradigm shift that helps sales organizations improve forecasting and increase sales velocity.
What’s Data? What can it do for Sales? I believe that data has the potential to transform a sales organization. Traditionally, sales teams have relied heavily on intuition, instincts, experience, and trust. This approach has its advantages but also its limitations — and I think we can agree that it is not the future.