The Predictive Marketing Analytics for B2B Marketers Forrester Wave

Allison Snow

When my colleague Laura Ramos and I set out to “Wave” the B2B predictive marketing analytics space, we knew that while there are impressive results across the board here, marketers struggle to identify differentiation among its vendors. We’re thrilled to have published Forrester’s first Wave that provides clarification to B2B marketers who seek to connect their business requirements to a predictive marketing analytics solution.

The Wave process begins by screening dozens of interested vendors and each participating vendor – household name or not – brings exceptional capabilities to the market.

We included 11 vendors in the assessment: 6sense, BrightTarget, EverString, Infer, Lattice, Leadspace, Mintigo, MRP, Radius, The Big Willow, and Versium.

Forrester Waves have a track record of delivering objective guidance to technology buyers of all stripes, supported with an interactive tool that marketers can use to zoom in on the capabilities that are important to them. We chose to focus on how well these offerings give marketers the ability to deploy predictive marketing analytics across the customer life cycle, to integrate with other popular martech solutions, and leverage a variety of data sources. Laura and I prioritized the following core principles as we built and assigned weights to each of the 28 criteria:

  • The extent to which solutions can reliably predict an outcome in a specific time frame.
  • The ease with which marketing and sales can execute campaigns using model output.
  • The degree to which model output supports engagement across the customer life cycle.
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M&A in the Predictive Marketing Space: eBay Acquires SalesPredict in an Unexpected-But-Perfectly-Logical-Move

Allison Snow

It’s not infrequent that a merger or acquisition takes place in a particular coverage area and, as an analyst, I’d typically expect to be ready to discuss the event at a moment’s notice.  

Not so when it came to last Monday’s news about eBay acquiring predictive analytics startup SalesPredict.

There are a little over 20 vendors vying to provide predictive modeling solutions to B2B marketers and sales professionals. It’s a “new-ish” technology, and one might reasonably expect consolidation or merger activity. But for most folks, this particular collaboration was an eyebrow raiser and I needed to talk to some people first.  

Founded in 2012, SalesPredict builds predictive algorithms that help B2B firms identify correlative relationships between the presence of various attributes and/or buyer behaviors to positive or negative outcomes. I had met with Yaron Zakai-Or, CEO and co-founder, and Sahil Mansuri, VP of Marketing, several times in my role as analyst. I imagine Sahil’s background in marketing helped them to grow their base within 6 months to 60 customers. But it didn't hurt that at SalesPredict, it was always about powerful technology without bounds. Co-founder Kira Radinsky, a self-proclaimed “data scientist at heart,” says that that founding SalesPredict was part of her vision “to bring about a major change in how business is conducted by unifying micro- and macro-economic predictions.”

This didn’t go unnoticed by eBay, with its own goal of increased sophistication in artificial intelligence, machine learning, and data science to support its structured data plan. In fact, that is exactly how eBay described the acquisition - frankly reminding me of how broad the use cases of predictive technology really are.

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