Web Analytics Wednesday – October 26 – Wellington

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 [...]

Oct

26

Relevancy in Facebook Brand Posts

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 [...]

May

19

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

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 [...]

Mar

31

A Few Words about ICE and Increasing Campaign Effectiveness

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 [...]

Mar

14

Forecasting is not Target Setting

The goal of a forecast is to make an accurate prediction about the future state of a system based on the best available evidence. The goal of target setting is to make a statement about a desired future state – with or without a forecast. Targets are political artifacts. You can read all about such [...]

Feb

28

15 variables, no significant correlation

I’ve had a fairly rough 9 days with a very troublesome model. My original hypotheses are rejected. A piece of the world doesn’t really work the way that I expected. The great news is that I’m forced to look beyond the clean dataset and write new hypotheses. Even failures can be great. However, it doesn’t [...]

Nov

08

First Contact, TTMM, and Revenue

Yesterday I participated in my first TTMM event, and spoke on ROI. Like any first contact situation, you know they have their points of view, value systems, and language. And the least you can do is have knowledge of why you think the way you do, and why. I told the story about how different [...]

Sep

29

Social Media Return On Investment

What kind of Return can you expect from Social Media? The legitimacy of the answer has a lot to do with your mental model of the world. When I talked first in this space about it in January, I made the distinction between how Direct people and Brand people would answer the question. It turns [...]

Sep

27

The Twitter of Things

I started tweeting right around when I started blogging on analytics – between May 8 and May 18, 2008. It kicked off professional public speaking, intensified my contributions to the WAA, and pushed me even more into a weak tie among diverse communities. I knew most of my followers by name, and met with most [...]

Sep

21

An Original Contribution and DRY

There’s a DRY principle in programming, and one that is pervasive in RAILS-land: Don’t Repeat Yourself. The same should go for everybody. From commenting, blogging, to writing books. Repeating somebody’s work in its entirety is pretty unnecessary when a citation would do. What you build off others, how you do intellectual parkour and create something [...]

Sep

07

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