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Business - Written by on Wednesday, November 12, 2008 11:20 - 5 Comments

Denis Hancock
Exploring fan and group engagement on Facebook

As I discussed in my last post, I’m intrigued about the idea of exploring how customers engage with brands on Facebook. I’ve started compiling some data with the hope of coming up with some interesting metrics. While there are still a lot of details to iron out, I thought I’d toss up a few ideas that I’ve had so far in order to see if the wikinomics community might be able to help. The four I’ve looked at so far are: An engagement index comparing fan to group activity, a Facebook group love/hate index, relative fan activity, and relative group activity. The first is kind of confusing, but the other three are pretty straight forward.

1. An engagement index comparing fan to group activity. The idea here is that becoming a fan of a particular brand is fundamentally different than becoming part of a group that associates with it. What’s particularly interesting here is that while groups are generally created by customers (i.e. totally outside of the company control), fan pages are increasingly “facilitated” by the company itself. While this isn’t always the case, and I still have to sort out exactly which ones are, I decided to explore how the fans and groups associated with particular brands might behave differently.

The figure above is a 2 x 2 I developed based on two metrics. The horizontal axis is the ratio of fans to members of the most popular group. In 25 of the 27 cases, the number of fans exceeds the number of people in the most popular group. The contrast in ratios is startling though – Wal-Mart is the lowest at 0.1, and Levi’s is the highest at 127. The vertical axis is what I call an average activity index – the ratio of wall posts per fan to wall posts per group member. In every single case, the per-person activity in the most popular group exceeds the activity on the fan page. The range is again quite high though – from 0.3% (the NBA) to 67.4% (Victoria’s Secret).

Now a lot more analysis needs to go into this to figure out what it all means – it’s not easy to say exactly what is “good” and what is “bad”, for example, and I’ve had to make a few judgment calls that will need to be handled a little more rigorously for the final analysis. But I think there’s some promise here – even just starting from the relative positions of Victoria’s Secret, Starbucks, Wal-Mart, and Levi’s, for example.

2. A Facebook Love / Hate Index. Here things are a little easier to understand. I’ve started going through the groups that have been created around various brands, and putting them in one of four buckets – love, hate, neutral, and employee (noting that the love/hate balance within the employee focused ones appears interesting to explore). Looking at it from a brand perspective, the love/ hate ratio seemed like it could be interesting. I’ve looked at a handful of brands so far, and the current ratios range from about 1.1 : 1 (Wal-Mart) to a startling 67.3: 1 (Disney). McDonald’s is down near Wal-Mart territory (1.5 : 1), and Starbucks is up in the 18.4: 1 range. Looks like it could be a simple, powerful metric to track.

3. Relative Fan Activity. Another easy one to understand: Wall posts per fan as an indicator of engagement levels. From the sample of brands i’ve looked at so far, the range is from 0.0013 (MTV) to 0.0526 (Avon Products). Others near the top are NASCAR, Molson, Bath & Body Works, Peet’s Coffee & Tea, and the NHL. Others near the bottom are The Gap, Levi’s, Nike, Sephora, and Abercrombie & Fitch.

4. Relative Group Activity. Very similar to #3 – wall posts per group member (in the most popular group associated with the brand) as an indicator of engagment levels. As noted earlier, the relative activity in the groups is greater than on the fan pages. The range from the sample I’ve looked at so far is from 0.0144 (Nike) to 3.67 (NBA). Others near the top are NASCAR, NHL, Crate & Barrel, and Avon Products. Others near the bottom are Victoria’s Secret, Somersby, Levi’s, and Abercrombie & Fitch.

Just from the process of writing this, I see another 2 x 2 in my future – relative group activity versus relative fan activity. But before I go there, I’m interested in hearing what people think. What looks promising? What might I be missing? Is there another lens that I could be taking? Any thoughts on #1 would be particularly appreciated…



5 Comments

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Naumi Haque
Nov 13, 2008 10:39

Great initiative Denis. Some feedback:

So, I understand that we’re working with imperfect information, but one of the problems I see is that the distinction between fan pages and group pages is not always apparent. So, say for example, I’m a member of a group called “I Love the NBA,” would I also then join the NBA fan page? If not, should I still be counted as a fan? What if my group covered a sub-category of the main brand, i.e. “I Love NBA Cheerleaders”? What then?

A lot of comapnies have applications too, so I think from a branding perspective users of a branded application should factor into both the fan and the activity metrics.

Finally, there’s the Facebook Lexicon which tracks how much something is mentioned on people’s walls, which would also be a good metric around buzz.
(http://www.facebook.com/lexicon)

Wikinomics » Blog Archive » Facebook’s conundrum as they try to woo marketers
Nov 14, 2008 14:55

[...] and potentially draw in new customers. But at the same time, as I’ve referred to in some earlier posts, many established companies have their own fan pages (and associated groups) with thousands [...]

John Seebeck
Nov 16, 2008 21:11

Denis,

Would love to talk more about this with you. Can we schedule a phone call?

John Seebeck

Emma
Nov 17, 2008 16:45

I am excited about this because I want to convince my organization that we do not need a Fan page, because we already have so many user-organized Groups already!

Denis Hancock
Nov 18, 2008 9:46

John – absolutely! You can contact me at dhancock (at) ngenera.com to set up a time.

Coming soon in paperback! Help rename the paperback version of Macrowikinomics and win a one-hour webinar for you and your colleagues with Don Tapscott. Ends 5:00pm ET, August 31. Learn more.

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