We still see a near complete reliance on last-touch attribution for assessing marketing channel performance and making investment decisions. There are much more effective means for attributing the true source of conversions in 2024.
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Big changes are afoot in the world of web analytics. Both Apple and Google are taking steps to block third party cookies from web browsers. While this change will be largely invisible to users, it will have a significant impact on publishers and merchants who want to understand how visitors reach their sites — and how well their advertising is working.
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Get more out of your web analytics without paying $150k
Is your digital advertising working? For the vast majority of ecommerce companies out there, the answer seems simple enough: Facebook and Google are happy to tell you which ads lead to conversions, and the free version of Google Analytics has pretty good attribution modeling tools built in.
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Follow these simple steps to track HubSpot forms as Facebook events for conversion tracking and audience building.
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The principle of the Nirvana Fallacy holds that if perfection can’t be attained, why bother trying?
It’s easy to associate this with business cultures that are intolerant of failure or averse to new ideas. But certainty is also demanded from more forgiving organizational cultures. On the face of it, this expectation of certainty seems reasonable. If you are to invest a great deal of time and effort into a particular venture, shouldn’t you be very certain, or at least very close to it?
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Sherlock Holmes, Donald Trump, and the Data Science Paradox
Yes, “deducive” is a real word. And it’s the name we chose for our company. We chose it for its rational correlation to logic and the scientific method, as well as its emotional connection to a great fictional sleuth. But, in data science terminology, it may have been a bad choice.
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I’ve worked with Google Analytics for quite a while. So long in fact I remember the “U” in “UA” actually means “Urchin” and not “Universal.” Back then it seemed wonderful that a paid for service like Urchin was made free instantly on acquisition by a forward looking company like Google.
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As great as Data Studio is, it fails in one key respect: mobile-friendly design. Visualizations you create for desktop view will not scale down to mobile screens. Here’s an easy workaround.
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Introducing IBMsentR, a simple R package for textual sentiment and tone analysis through IBM Watson.
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The big cloud players — Amazon, Google, IBM, and Microsoft — have all put their machine learning tools at your disposal. But figuring out how much they cost, and how those costs compare, can be a great mystery. In this article we’ll decipher the cost structures of the four biggest cloud players across a variety of scenarios.
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