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.
How great would it be to have an analyst pressure test every commit before it hits your desk?
A better forecast plus more time selling would be a win-win. But is it possible?
You'll sometimes hear me talk about selling by “gut and golf” — a sales approach grounded in years of experience (gut) and deep, trusted relationships forged on the links (golf).
This past week, I sat in a large networking company’s conference room listening to an irritated sales rep and his sales manager discuss challenges in their current sales process (as an aside, being able to listen in on these sorts of conversations is what makes being a product manager such an awesome job!).