Remove Experimentation Remove Magazine Remove Metrics Remove Visualization
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Five Data Analytics Mistakes Marketers Make (And How to Avoid Them)

Sisense

When you discover data that means something, you need to be agile enough to make experimental changes.”. Mistake #2: Choosing the wrong data visualization to present your data. Data visualizations are graphic representations of data. We must first know the data to find the visualization that fits.”.

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Themes and Conferences per Pacoid, Episode 6

Domino Data Lab

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Ensure a culture that supports a steady process of learning and experimentation. I double-dare you not to visualize that cohort!

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Digital Marketing & Analytics: Five Deadly Myths De-mythified!

Occam's Razor

How about magazines? Yes, you can get some weak demographic or, a bit better, psychographic signals from surveys TV channels or magazines did. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues. Bonus: Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to! <

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The Marketing Analytics Intersect: My Newsletter!

Occam's Razor

You rent audiences on TV, Magazines, Search, Display, etc. Of course, measure that using the four best social media metrics !) Here's the very first newsletter I'd sent, two weeks ago, and it touched on a confusion I find common, and frustrating… TMAI #1: Metric or KPI, how do you decide? A good one.