Let’s cite an example. Your marketing team puts up landing pages in your business website, brings in clicks, and captures leads interacting with your content. These leads are commencing contact but how much they are interested has yet to be determined, so your team engages with by providing relevant info. Leads are then scored depending on the actions or responses they take. These contacts become MQLs up to the point they are ready to be transferred to marketing.

Tirena is a Managing Senior Analyst for Gartner Digital Markets. She graduated from Christopher Newport University with a Writing Intensive BS in Biology with a focus in genetics, obtained a Masters in Public Health from George Mason University, a Writing Certificate from the University of Cambridge and a Marketing Certificate from Georgetown University. Follow her on @TJDingeldein for insights on marketing, data science, and startups.


Incentives can help you zight these external forces. Let’s go back to that example where you were shopping online but left your credit card in the kitchen. If you had a one-night-only 30% off coupon, would you have been more inclined to get up and walk to the other side of the house? If your shopping cart purchase was $20? Probably not. But if you were planning to spend $100 or more, the answer is likely to be a clear ‘you bet.’
The next part of the process is triggered once the sales team takes over, continues engaging with the leads, and vets for their level of interest as well as capability to purchase. When leads have been assessed as viable prospects, they now become SQLs. In this specific journey from MQL to SQL as well as the overall process that cover the stages from lead to customer, the features and capabilities of marketing automation and CRM come into play.
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.
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