• viralChainReaction
    Mobile User LTV: You Must Incorporate Virality Mobile User LTV: You Must Incorporate Virality

    Mobile User LTV: You Must Incorporate Virality

Mobile User LTV: You Must Incorporate Virality

Traditionally LTV, customer or user lifetime value, is defined as ‘exactly how much each customer is worth in monetary terms’. However, what that definition is missing is the variety of ways customers can provide value besides direct monetary revenue.  For example, take Bob  and Sue.  From tradition LTV calculations, Bob appears to have a much higher LTV. However when you begin to consider other factors that affect customer value the true LTV calculation is revealed. When you consider the revenue from the friends that Sue invited, her LTV is actually much higher.   The diversity of mobile applications is expanding […]
By |Wednesday, May 22, 2013|Commentary|0 Comments
  • JCPenneys picture
    Predict or Die: Why Retailers Need to Start Predicting to Avoid Becoming the Next JCPenney Predict or Die: Why Retailers Need to Start Predicting to Avoid Becoming the Next JCPenney

    Predict or Die: Why Retailers Need to Start Predicting to Avoid Becoming the Next JCPenney

Predict or Die: Why Retailers Need to Start Predicting to Avoid Becoming the Next JCPenney

Under Ron Johnson’s tenure as CEO of JCPenney, the company ignored data-driven decision making for a more philosophical approach. Johnson opted for the Apple strategy of what he believed would work, reportedly stating that “We didn’t test at Apple”.  And 17 months later, JCPenney’s stock and customer loyalty has plunged. You need to understand your customers. The first thing that went wrong with Johnson’s approach is that he didn’t understand the customer. The Penney’s customer was an older, coupon savvy, frequent shopper who appreciated store stability.  So, it shouldn’t have been a surprise that customers revolted when Johnson decided to literally cut coupons, rebrand the company as new and hip, and rearrange the store’s look. How predictive analytics […]
By |Thursday, May 2, 2013|Commentary|0 Comments
  • uniqueness-of-mobile-slideshare
    Six Attributes of Your Mobile Customers That Matter Six Attributes of Your Mobile Customers That Matter

    Six Attributes of Your Mobile Customers That Matter

Six Attributes of Your Mobile Customers That Matter

By the end of 2013, there will be more mobile devices than people on the planet. As more customers interact with your company or brand on mobile devices, learn how you can better engage and monetize them with this condensed version of Medio’s Uniqueness of Mobile Whitepaper. This presentation outlines six critical factors that make your mobile customers unique in order to help you better acquire, retain and monetize them using mobile, predictive analytics.  
By |Friday, April 12, 2013|Commentary|0 Comments
  • 6 Features that makes mobile unique
    Video Overview: The 6 Features That Make Mobile Customers Unique Video Overview: The 6 Features That Make Mobile Customers Unique

    Video Overview: The 6 Features That Make Mobile Customers Unique

Video Overview: The 6 Features That Make Mobile Customers Unique

Transcript: Welcome to Medio the largest provider of predictive app analytics and the leader in driving higher lifetime values from your mobile customers. My name is David Bluhm and I’m Chief Marketing Officer at Medio. I’m here today to talk about a successful mobile strategy and why you need a mobile specific strategy in the first place. So I’m going to outline the six unique features of a mobile customer that are very different and very unique from online or web customers. The first reason mobile is unique and different is that mobile is very personal. We view our devices as extensions of ourselves we customize them, we customize the ringtones, we give them unique cases that […]
By |Wednesday, March 27, 2013|Commentary|0 Comments

The Era of Big Data: Simply a State of Being

Big Data has become a facet of everyday life whether we are aware of it or not. Every day, we create 2.5 quintillion bytes of data which are being created from a variety of sources including digital events like Facebook likes and photo sharing to weather sensors to predict hurricanes.  To dive deeper into the Era of Big Data, Medio’s Co-founder, Chairman and CTO Brian Lent participated in an expert panel hosted by the MIT Enterprise Forum of the Northwest to discuss the opportunities and impact created by big data. The panel included big data experts, Paul Sanford, General Manager of Splunk and Stephen Purpura, CEO and Co-founder of […]
By |Wednesday, January 23, 2013|Commentary|1 Comment

Use Predictive Analytics to Maximize Mobile Revenue

Experts project that by 2015, there will be more than 7 billion mobile devices globally. With the explosion of mobile devices, understanding how users interact with your applications or services is a critical component to your mobile monetization strategy and driving mobile usage. This growing mobile trend set the context for an expert panel at the  APPNATION IV  conference discussing the topic “Mobile Moneyball: Leveraging Personalized Content to Drive Premium Monetization”. On the panel was Brian Lent, Medio’s Chairman and CTO, Larry Jordan, Director of Mobile Web for T-Mobile with George Gilbert, Co-Founder and Principal at TechAlpha Partners serving as the moderator. The panel gave expert insight and real world examples into how personalized content and […]
By |Friday, December 28, 2012|Commentary|0 Comments