The HubSpot dashboard enables teams to immediately sort the contracts won (or not) and maintain a clear view of their performance toward their goals. HubSpot’s CRM automatically tracks customer touchpoints across different channels and keeps a timeline of all calls, emails, and meetings involving specific customers. The platform also helps create personalized paths to purchase and compile data showcasing how every marketing campaign contributed to sales.
That doesn’t sound much like a CRM system, does it?  If the core of marketing automation is email blasting, the foundation of CRM is sales force automation (SFA). While both systems operate on leads, contacts and companies, they work in very different contexts.  The marketing automation user is almost entirely focused on leads.  In contrast, the SFA user sees leads as important only in the short term, as the successful sales rep will be working on deals (opportunities) and talking with contacts (leads that have been fully qualified and promoted or converted).  The SFA user is a very different animal than the typical marketing person, and too often there is actual animosity between the two teams.

Traditionally, this automation software has been equated to email marketing tools that automate sending and tracking of mass email campaigns. However, this software offers much beyond that. Today, it is an established fact that this type of automation has a direct tangible impact on the revenues of businesses, especially in the case of B2B enterprises.
There is extensive evidence supporting the value that marketing can bring to marketers. According to a report by VB Insight, 80% of marketing automation users saw their number of leads increase, and 77% saw the number of conversions increase. Further, Companies using marketing automation see 53% higher conversion rates from initial response-to-MQL and a revenue growth rate that is 3.1% higher than non-users.
Marketing automation platforms allow companies to deliver promotions on, say, flash sales, to small segments of the customer universe based on targeted campaign objectives, or revenue goals for a particular territory or population. AI and analytics tools either can or soon will be able to create predictive models that can drive even more revenue with fewer customers contacted per campaign, depending on the tool and to which CRM platform it connects.
×