4 Ways Traditional Customer Segmentation Has Failed Marketers

April 20, 2015 0 Comments

Traditional customer segmentation is yesterday’s news. Once considered the cornerstone of marketing campaigns, the old models of segmentation now look like cardboard cut-outs against a 3D landscape. Social media and Big Data now give us the tools and the information to reach farther into the minds, hearts and pocketbooks of today’s consumer.

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Arjuna News, big data, predictive market segmentation, traditional customer segmentation, advanced market segmentation, actionable customer insights

The Top 5 Digital Marketing Predictions for 2015

January 5, 2015 0 Comments

There are many things to look forward to this year in the world of digital marketing. The role of a marketer is constantly changing as new technologies and new constraints come into play, so we have to put our heads together to make sure we’re all prepared for what lies ahead. Here at Arjuna Solutions, we’ve searched around and found what we think are the Top 5 Most Valuable Predictions for 2015. The quicker you tie these predictions to your overall marketing strategy, the quicker you’ll see results come in, so don’t waste any time in getting started!

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Arjuna News, email marketing lists, social media marketing, the rise of influencers, supercharge your email marketing, content marketing, Filtered Feed Problem, opt-in incentives, big data, Facebook ads, unstructured social data

Propensity's Role in Predicting Human Behavior

September 1, 2014 0 Comments

Is it true Propensity Scores can predict human behavior? Yes, absolutely – let me explain. In marketing analytics, propensity scores refer to a person’s natural tendency or disposition to respond to direct marketing campaigns. Therefore, it can predict human behavior, which in turn can help marketers craft personalized messages that increase the ROI of direct marketing campaigns (click here to read through our first series on propensity scores).

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Arjuna News, marketing analytics, human behavior, personalized messages, causation, data mining model, big data, increase conversions, propensity scores, direct marketing campaigns, correlation