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Tealium Launches Predict Solution Powered By Machine Learning

1tealiumSSIntegrated into Tealium AudienceStream, a data-first customer data platform that is designed to create highly granular, unified customer profiles from every touchpoint, Tealium Predict aims to create and activate trustworthy machine learning insights using cross-channel customer behavior data. Visitors are scored based on the likelihood to complete any action, and then companies can use this score to trigger action in integrated systems across the entire tech stack. Customers can feed machine learning models with pre-cleansed data, use that data to score users demonstrating behavior with predictive potential and take action on that predictive potential all within the same, natively integrated platform.

How AI And Machine Learning Can Make Forecasting Intelligent

Geoff Birnes AtriumTraditionally, CRM solutions have been unreliable for sales forecasting. Companies have dealt with inaccuracies and blamed their bad data. However, things are starting to change thanks to artificial intelligence (AI), machine learning (ML) and predictive analytics. According to Salesforce, only a quarter of companies use predictive analytics. Of those using it, 86% have already seen a positive return. Predictive analytics can be brought to the CRM to create more accurate sales forecasts and provide actionable insights for reps, partners and managers.

Why Machine Learning Matters To B2B Companies

Abhi Yadav ZylotechB2C companies use machine learning for a wide range of use cases ranging from personalized recommendations, intelligent chatbots and hyperlocal advertising, just to name a few. While the number of B2C companies using machine learning is skyrocketing, adoption by B2B companies has yet to take off.

It’s time for B2B companies to get their game on. Here are some of the ways machine learning can make a significant difference for B2B companies.

Attribution Meets Machine Learning: What You Need To Know

1chriscalibermindThree questions encompass everything a c-suite or board wants to know when it checks in with its marketing organization:

  1. How are we performing?
  2. How much is it costing us?
  3. Is it getting better or worse?

Sounds simple, right? You might be shaking your head right now, having full knowledge of the scramble and stress associated with coming to that table with clear-cut answers to those questions.

Why Machines Won't Replace B2B Marketers

0Artificial intelligence (AI) and machine learning (ML) have long been on marketers’ radars, but it’s only recently that they’ve begun to show up in customer relationship management tools. AI and ML are often viewed with skepticism, but many B2B marketers will discover that these features can enhance their effectiveness in contacting the right leads, closing deals and nurturing client relationships. The underlying fear has been that machines will replace marketers, but the reality is much more promising.

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