Buyer Intent and Predictive Analytics – Unified Through Data Science


While affording powerful logistical regression models based on any data that it could see, predictive analytics models suffered from near data blindness, as marketing departments struggled to feed anything more than CRM, website logs, and basic firmographic data to it.

The Startup’s 4-step Guide to Building Strong Sales Pipeline


You don’t need an advanced regression model to tell you if you sold your first big deals to Financial Services companies with a new CTO. Before I bought any tool other than a CRM, I would spend money on data. Sales and marketing event season just ended.

Why the Right Data is Critical to Success with AI


As a data analyst at Mintigo, my job primarily consists of figuring out the best way to draw insights from the massive pile of data that our prospective clients have in their CRM and MAP systems using our AI platform.

10 Ways to Crush the Competition Using Intent Signals


Next, the information is aggregated using a regression analysis to look for surges that register above normal activity levels. What marketing or CRM systems can the data integrate with? Intent represents one of the most significant paradigms shifts from the past few decades.

Marketing Vendor Selection: Trends You'll Need to Support

Customer Experience Matrix

An automated approach would eliminate that by using techniques like regression analysis to derive the formulas directly from the data. They’re also moving past CRM to tap other internal systems like accounting, manufacturing and order processing.

Vendor 173

How to Democratize Product & Process Innovation: What We Learned by Hacking

Sales Intelligence View

While competition is fierce in the SMB market , newer technologies like online advertising, CRM, and social media outlets have allowed local and regional businesses to extend their reach and survive. Innovate or Die. About 50 years ago, living to 61 was normal.