Marketing’s core objective is to feed the pipeline for sales. At the end of the day, the sales team is marketing’s number one client. Marketing’s role in the lead nurturing process has grown over the last decade to align with the lengthening sales prospecting process. Most B2B purchases—especially technology purchases—span multiple departments, which means there are multiple stakeholders involved in any buying decision. According to CEB, 5.4 people now have to formally sign off on each purchase, this is 40% larger than it was 2 years ago.
We founded Blueshift to address problems we encountered first-hand as marketing & machine learning leaders. Our team previously founded Groupon Goods (Mertado), and were early team at WalmartLabs (Kosmix). As marketers ourselves, we noticed that it’s becoming increasingly harder communicate with customers on a 1:1 basis in the era of the perpetually connected customer. Using patented technology, Blueshift’s AI enables consumer marketers at leading consumer brands to launch 1:1 engagement on every channel. ● Visual campaigns & Journeys: Build multi-touch campaigns with a simple visual interface; include advanced testing, content recommendations & filters with just a few clicks. ● Behavioral Segmentation at scale: Segments that update dynamically based on a real-time stream of customer interactions ● Predictive Segmentation: Machine learning based scores for user affinities and propensities ● Product & content recommendations: Build multiple recommendation schemes for merchandising products, categories and content ● Full-funnel measurement with attribution: go beyond opens & clicks, and track custom conversion goals with customizable attribution. ● Cross-channel orchestration: Orchestrate cross-channel campaigns between email, mobile app notifications, SMS, website, Facebook retargeting and more. ● Testing & Optimization: Leverage advanced testing capabilities, including a-b tests, as well as measurement against holdout groups. ● Best-in-class deliverability: Scalable deliverability infrastructure and services.

In most companies, marketing people don’t man the phones, they don’t qualify leads and they don’t really participate in the sales cycle.  Consequently, they aren’t measured on revenue the way the sales team is: their metrics are focused on the number and quality of respondents, including the total value of the pipeline (the “open” deals, not the closed ones).


The best way to overcome the limitation of time is by automating some of your processes — and marketing is one area ripe for automation. The key for small businesses is finding a tool that can automate many components of marketing at once, and these seven platforms take different approaches to automating marketing processes to make entrepreneurs’ lives easier.
Marketing automation systems generate huge amounts of not-very-well-structured data and analyze click streams in response to campaigns. In companies with large lead counts, the reporting engines have to handle tens of millions of rows – but the tables are very narrow (typically, less than 10 columns) so report outputs don’t involve a ton of query logic…just a ton of raw data.
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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