Articles
Big data: it's highly valued, but little understood. In fact, more than half of executives today downplay the importance of data analysis because they just don’t get it.
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Predictive analytics is currently one small piece of the MarTech ecosystem.
Brands juggle more than a dozen MarTech solutions and app SDKs to try and capture some return on investment (ROI). This limits the use of predictive analytics as a result, due to lack of data and follow-through.
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From tarot card readings to fortune tellers, Nostradamus to the Farmer's Almanac, people have tried to predict the future.
Predictive analytics aims to make forecasting a regular business practice.
Businesses large and small collect data in an effort to understand and serve their customers.
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Using advanced customer analytics — and especially predictive analytics — to improve the ROI of a digital environment is a promised land that many businesses strive for but few have reached successfully.
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The retail industry has become intensely competitive, dotted with name brand incumbents, disruptive e-commerce challengers, boutique establishments and everything in between.
Naturally, this hyper-competitive environment empowers customers to demand more choices and options than ever before, ultimately leading to downward pressure on retailer margins.
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Mobile apps are everywhere and people can’t stop using them.
Recent data shows that 90 percent of a consumer’s time spent on mobile is spent in apps. So, even if you haven’t been involved in marketing mobile apps yet, you probably will soon.
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The subscription economy has forced a huge shift in the way companies approach their customers.
The game is no longer a race to acquire new customers, but rather to hone in on retention and upsells. A Pacific Crest 2014 Private Software-as-a-Service (SaaS) survey found that it costs $0.
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Predictive analytics can make every marketer more impactful and every marketing dollar go further. It's just one benefit of the digital age.
The non-digital age was filled with opinions, perceptions and a lot of hope. Marketing has always been about right messaging and reaching its intended audience.
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You can’t read an article, go to a conference or go into a marketing planning session without discussing “predictive analytics.
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Who wouldn't want a crystal ball, that knew customer's intentions before they knew themselves?
The idea of using predictive analytics to understand and influence customer behavior has tantalized retail and hospitality industries.
It's not a new idea.
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