Who do you trust to manage your attention?

Posted on Posted in Data Science, Marketing Science, Social Analytics, Social Media Measurement, Strategic Analytics, Technology

Who do you trust to manage your attention? Because now that the news cycle has surfaced Cambridge Analytica issue¬†– that’s the real thesis question. Let me explain. How the Newsfeed manages your attention I really can’t understate just how powerful amplified engagement really is. When you overlay the like/share verbs on top of a network […]

Eulogies trickle in for Facebook

Posted on Posted in Analytics, Analytics Strategy, Social Analytics, Social Media Analytics, Social Media Measurement

“The End of Facebook” trumpeted the headline. 46 points in 46 minutes on Hacker News. “Facebook Screws Social Media Marketers!” trumpets Business Insider. “Facebook is losing teens” states Global Web Index. Here we go with the bandwagon. Hop on! Only that this time isn’t going to be quite like the last time(s). Teens have fled […]

Reddit, Eternal September, and Climate Change

Posted on Posted in Analytics, Social Analytics, Social Media Analytics, Social Media Measurement

Kleinbl00 wrote an excellent synthesis of the phenomenon gripping Reddit right now. (Explanation of what Reddit here.) Here’s the link. Here’s the quote for posterity: “It isn’t a brain drain, it’s climate change. Early Reddit was an environment friendly towards tech geeks who wanted something more indepth than slashdot or HN. As such, it attracted […]

Testing Three Themes

Posted on Posted in Analytics, Social Analytics, Social Media Analytics, Social Media Measurement

Post frequency on the analytics focused blog, Eyes on Analytics has increased to daily. In part, this is to solidify the understanding of the frequency-reach curve in blogging, and in part, it’s an attempt to understand where the broader market is at. I’m testing three themes: How to fight nature’s pesky way of inhibiting our […]

Why don’t the campaign components add up?

Posted on Posted in Analytics, Social Analytics, Social Media Analytics, Social Media Measurement

Sometimes the components of a marketing channel will not add up to equal the total performance of the marketing channel. This is caused by any number of realities and limitations imposed in part by nature, and, in part, by you, the marketer. Consider the following deliberately simple scenario: March 2012 Impressions: Total Digital Impressions Delivered: […]

Who’s Downvoting You On Reddit?

Posted on Posted in Analytics, Marketing Science, Social Analytics, Social Media Analytics, Social Media Measurement

So who keeps on downvoting you on Reddit? We’ll find out. But first – three notes: You may be familiar with Reddit. If you’re not – you can read this explanation about what Reddit is. To answer that question, I downloaded a dataset that was built in early 2011 or very late 2010. The dataset […]

Web Analytics Wednesday – October 26 – Wellington

Posted on Posted in Analytics, Analytics Strategy, Data Science, Mobile Analytics, Social Analytics, Social Media Analytics, Social Media Measurement

Web Analytics Wednesday is tonight at The Wellington, in downtown Toronto’s analytics alley. It’s generously supported by AT Internet. There are some 40 people – representing among the best of the best, who will be in attendance. It’s a great opportunity for web analysts, social analysts, marketing scientists, data scientists, hackers, developers, and usability professionals […]

Relevancy in Facebook Brand Posts

Posted on Posted in Marketing Science, Social Analytics, Social Media Analytics, Social Media Measurement

ExactTarget reported in their paper, “Subscribers, Fans, and Followers: The Social Break-Up”, Feb 1, 2011, that a top reason (44% of respondants) for unliking a Facebook Brand was “The Company posted too frequently”. Among other reasons: 43% said “My wall was becoming way too crowded with marketing posts and I needed to get rid of […]

The Top Nine Things About Lists that Marketing Scientists don’t want you to know about

Posted on Posted in Social Media Analytics, Social Media Measurement

9. They know that any mention of a list is total baiting. People love lists. You’re here now, aren’t you? 8. They deliberately use an odd sounding number for the length of a list. Round numbers like 10 sound engineered. 7. They know that there’s a high reading completion rate on such a list. That […]

A Few Words about ICE and Increasing Campaign Effectiveness

Posted on Posted in Social Media Analytics, Social Media Measurement

The paper “Increasing Campaign Effectiveness”, abbreviated ICE, is out. You can find the paper here. ICE is not the successor to Value of a Fan, abbreviated VOAF. We asked different questions. Last year, in response to VOAF, many of my cohorts came forward with brilliant follow up questions, and the dialogue that ensued contributed to […]