Predictive analytics technology is a growing space in the marketing world, giving marketers the ability to leverage data to predict customer behavior. The buzz around predictive analytics solutions has paid off for predictive tech specialist Infer, which just announced a 500 percent jump in existing customer spend over the past quarter.

Infer launched its Prospect Management Platform last November and ties the rise in customer spending to that new offering. Infer also computed nearly 300 million predictions in Q4 2015, which represents a 150 percent quarter-over-quarter increase.

The Infer Prospect Management Platform puts a twist on predictive scoring solutions by giving marketers the ability to combine all of their buying signals into data-rich, descriptive and actionable profiles. Infer says this approach delivers key prospect information at a glance in order to help sales and marketing teams provide more personalized engagement and an improved customer experience.

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Infer Inc., a leading provider of predictive technologies that help companies win more customers, today announced its launch of the first predictive prospect management platform for sales and marketing teams. Infer Prospect Management helps companies develop ideal customer profiles and expansion opportunities that unlock value with prospects and customers. The platform leverages artificial intelligence (AI) to make recommendations and trigger actions that help move prospects from one step in their customer journey to the next.

The new Infer Prospect Management platform enables segmentation using thousands of internal and external data signals, as well as predictive lead scores, to provide the most complete view of each prospect and help marketers and sales professionals determine their next-best programs and tasks.

Infer Prospect Management surfaces a wide range of attributes – from basic signals like contact title, company size or geography, to more complex characteristics such as a person’s role in the buying process, their recent marketing activity, their company’s overall fit for a product, or their current state within the customer lifecycle – along with detailed impact metrics. The platform empowers companies to easily define their high-value segments and buyer personas. Infer then triggers appropriate actions (i.e. recommended nurture programs, advertising, content, sales tasks, and more) for each profile group (i.e. “engaged SMBs”). Finally, the system helps companies expand beyond their existing prospects by analyzing outside data sources to identify new leads and markets to target next.

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Mintigo, a predictive marketing platform provider, announced the launch of its native predictive marketing and lead scoring application on the Oracle Marketing AppCloud. The new application is designed to give marketers real-time predictive marketing capabilities — alongside predictive lead scoring — within the Oracle Marketing Cloud.
The solution intends to help marketers locate prospective buyers quickly and efficiently by leveraging predictive analytics to analyze buying personas and buying intent. Users will have access to data on roughly 70 million individuals, positioning them with a holistic view on prospective buyers.

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Digest...

That’s a key problem predictive lead scorer Fliptop hopes to solve with its announcement today of an “account-based marketing” solution. Fliptop’s announcement is intended to position the company as the provider of one key piece in the growing account-based marketing ecosystem — a filtered list of accounts to target beyond the ones you’ve already sold to or that are already in your Salesforce.

Like B2B competitors Infer and Lattice Engines, San Francisco-based Fliptop is focused on predictive lead scoring to determine which customers or prospects are more likely to respond to specific pitches.

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Versium, a data technology and predictive analytics solutions provider, announced the launch of Datafinder, a self-service web site designed to provide data and data technology to small and mid-sized businesses. The web site uses Versium’s LifeData predictive analytics engine to help users understand buyer behavior based off certain characteristics — intending to enhance marketing effectiveness.
The website also allows users to append email addresses to update and enhance the data on prospective buyers. Users can also append their prospect’s demographic information and behavioral data.

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Digest...

Gagein announced the next generation of its sales productivity tools as well as upgrades to its Salesforce edition at Dreamforce. The application is positioned as a tool that uses artificial intelligence, Big data analysis and predictive algorithms to find actionable sales triggers from online news.

Gagein 2.0 is designed to help salespeople:

-- >  Identify high-value prospects based on real-time news;

-- >  Predict which prospects offer the highest sales potential; and

-- >  Rank them based off of their potential.

Gagein 2.0’s key features include Predictive scoring — using patent-pending predictive algorithms, Gagein calculates sales potential based on aggregate composite trigger values adjusted for time, company size and momentum, and ranks the resulting list of prospects.   

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DIgest...

IBM just launched a new cloud computing big data "analytics" tool that could be big competition for another new not-yet-announced Salesforce product that does the same thing.

Because today, IBM told the world that it, too, is offering the same kind of big data analytics cloud, and that its cloud is using IBM's world-class language processing technology called Watson. That means that you'll be able to ask (as in type, not speech) in normal language questions about your business, and Watson will understand what you mean and offer answers.

IBM will let business users import their business data from wherever they keep it like spreadsheets, documents stored in Google Docs or Box, databases like Oracle or Teradata, IBM's own older-generation analysis tool Cognos, or even ... Salesforce.com.

And on top of that, IBM will be releasing all this for free, at least at first. IBM said it will use the "freemium" business model, which generally means free to use in limited circumstances.

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