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Culture is a stronger determinant of success with data than anything else. Including data. People + Process + Structure] > [Data + Technology]. You want to win big with data, with marketing, with transformative digital yada yada and blah blah, evolve. The mistake is yours. Step 1: Optimal Metrics.
At the core of everything you will do in digital analytics is the concept of metrics. How do you define a metric: It is simply a number. Your digital analytics tools are full of metrics. Helpful post: Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies.]. All data in aggregate is crap.
Like you, I consume a whole lot of reports every day – company data, public data. People make so many obvious mistakes. Rookie mistake. One of the biggest reporting mistake is not making clear if the performance is good, bad, or otherwise. Your challenge is that senior leaders will always only ask for data.
There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Data presentation! The thing that is the difference between an organization that data pukes and the one that influences actions based on understandable insights.
Custom reports allow you to deeply focus (by eliminating the rif-raf metrics and dimensions, they save time and show just what you want). Many custom reports are wrong because we mess up the fundamental data model in analytics. We mis-align metrics and dimensions across Users, Session, Hits. Social Media Performance Analysis.
The very best analysts are know what matter’s the most are not the insights from big data but clear actions and compelling business impact from usually a smaller subset of key data. I usually ask them back: What are you trying to get done with your digital strategies ? But, what if we did not have that opportunity?
about digital marketing and analytics. For some answers, What is Avinash's typical day like? We will cover questions in four areas: business/strategy challenges, analytics/technical challenges, career/self-development questions and rampant speculation. Business/Strategy Challenges. Don't make that sillymistake.
The most common mistakes digital practitioners and leaders make is to either do things in the wrong order, or to try and do too much at one time. Progress in digital marketing and analytics in either scenario becomes painful (the organization / systems / thinking is simply not in the optimal position). Don't do paid search.
This audience is immensely attractive to Brands and Marketers around the world. FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. The case study seemed to contain a rookie mistake. It was huge. Facebook works.
My last post, perhaps provocatively, called for a reduction of data in executive dashboards (digital, online, offline). More English (IABI, specifically) would lead to a smarter understanding of performance, and of course glory for data practitioners. Here's the post: Strategic & Tactical Dashboards: Best Practices, Examples.
It also results in Marketers obsess about awful things like last-click conversions ( die last-click attribution die! ). They make silly user experience decisions (Searching for car insurance options? Not just insane, so visibly insane that everyone should see through it and fix their minds/reports/strategies. is Conversion Rate.
Javascript tag driven click data processed in the cloud provided through a web based front end that allows you to segment and create meaningful views of the data unique to you. That it results in you making fewer mistakes. You'll have no time for data analysis, certainly not for data actioning. ~ This instant.
In a recent set of keynotes and consulting engagements in the US, UK and Canada, I've had an overwhelming feeling that in very fundamental ways some companies make imprecise choices when it comes to their digital strategy. A data-first strategy is a winning formula. Programmatic platforms are a panacea. The web is dead.
It is published 50x/year, and shares bleeding-edge thinking about Marketing, Analytics, and Leadership. As an example, we have a test in-market right now to determine how much of the money we are spending on Bing is truly incremental. (As People are not lemmings you can shove down a path convenient to lazy Marketers. Billboards!
It turns out that Marketers, especially Digital Marketers, make really sillymistakes when it comes to data. Small data. In the last couple months I've spent a lot of time with senior level marketers on three different continents. Some absolutely did not use data to do their digital jobs.
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