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Marketing Analytics for the Data
      Driven Marketer
           Marketing has become almost synonymous with measurement and
           analytics. We've moved on from the days when marketing was, by
           definition, resource intensive (read: we spent the most money) and not
           measurable (read: we were the least accountable). Back then, life was
           good (we threw the best parties). However, today, the formerly black art
           of marketing has been transformed into not just a hard science but into
           something altogether new: we're juggling an ever increasing
           constellation of tactics - from whitepaper downloads to SEO to viral
           video campaigns - while working to reconcile our activities with our
           relatively run-of-the-mill lead funnels.
           This session is about looking at what's working, what's not, and why. In
           other words, what's critical to measure and what's just interesting noise?
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler
Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler

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Marketing Analytics for the Data-Driven Marketer - What to Measure & How - Matt Cutler

  • 1. Marketing Analytics for the Data Driven Marketer Marketing has become almost synonymous with measurement and analytics. We've moved on from the days when marketing was, by definition, resource intensive (read: we spent the most money) and not measurable (read: we were the least accountable). Back then, life was good (we threw the best parties). However, today, the formerly black art of marketing has been transformed into not just a hard science but into something altogether new: we're juggling an ever increasing constellation of tactics - from whitepaper downloads to SEO to viral video campaigns - while working to reconcile our activities with our relatively run-of-the-mill lead funnels. This session is about looking at what's working, what's not, and why. In other words, what's critical to measure and what's just interesting noise?