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One of the ultimate excuses for not measuring impact of Marketing campaigns is: "Oh, that's just a branding campaign." Admit it, you've heard it. I suspect you've even used it liberally!! : ). Before we go any further I must clarify that I love branding campaigns just as much as the next guy. I love campaigns that Visa runs.
Twitter is amongst new media channels that are challenging how we communicate, with whom we communicate and perhaps most fundamentally how we (Marketers) influence people. Sadly execution and analysis of these new social media channels has been hobbled by old world thinking. When it comes to marketing because of the old world thinking from the worlds of sTelevision and Magazines, and when it comes to measurement because of the world of traditional web analytics.
Do you have a sneaking, yet unshakable, suspicion that your Web Analtyics Vendor is sometimes just trying to mess with you? Guess what? It's true! All web analytics tools have a smattering of metrics and key performance indicators that were created just because someone decided it would be cute to add / subtract / multiply / divide some numbers.
Every once in a long while you come across a tool that just gives you goose bumps, you are instantly infatuated. The Search Based Keyword Tool (SbKT) was that for me. The data it brings together and the transparency it brings is just so. sexy. Let's see if you feel that by the time you are done with this post. I can tell you know that you'll never think of Paid Search the same way!
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
It is rare for me to work with a organization where the root cause for their faith based decision making (rather than data driven) was not the org structure. It is almost never tools. Not any more. Surprisingly it is often not their will to use data, that is there in many cases. Sometimes it is that they don't follow the 10/90 rule. It is always the organization structure.
You know what is the one thing stopping you from finding truly actionable insights from your web data? Web analytics gems lie deep in the data and we spend our lives looking at the top ten rows of data. It does not matter which report you look at. Affiliates. Products sold. Referring URL's. Pages viewed. Search keywords. Promotions. Geographies.
Here is an astonishingly brilliant, yet simple idea (if I may say so myself!): Why just measure conversions as one purchase or conversions just as a submission of a lead or opening of an account on facebook / twitter / what ever? Why not measure Visitor behavior after that first purchase / lead / membership sign up (or the first super poke)? Why obsess about the "quickie" that is opening an account?
Here is an astonishingly brilliant, yet simple idea (if I may say so myself!): Why just measure conversions as one purchase or conversions just as a submission of a lead or opening of an account on facebook / twitter / what ever? Why not measure Visitor behavior after that first purchase / lead / membership sign up (or the first super poke)? Why obsess about the "quickie" that is opening an account?
I am absolutely thrilled that my book Web Analytics 2.0 has been released and is in retail stores now, online and offline! Hurray!! Even with a broken right hand I can't help but write this post! The waterfall of positive feeling stems from the fact that this book was very hard to write. I only had one job, at Intuit, when I wrote my first web analytics book.
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