Comments on: A Social Media Scorecard based on Digital Footprint Index

By: vinita

vinita — Mon, 02 May 2011 09:46:32 +0000

Hi Marshal, great post! I am unable to see the first image (the scorecard). Can you pls repost?

By: Looking forward to Monitoring Social Media 09 in London – Part 2 – November 17th | Web Analytics Blog | Web analytics

Tue, 20 Oct 2009 20:47:33 +0000

[...] merging both sets of data is challenging – and I wrote a post about it a few weeks ago in A Social Media Scorecard based on Digital Footprint Index and a companion post On Measuring Social Media … thoughts and a [...]

By: WebMetricsGuru » Playfull Social Media and Web Analytics making it’s way in the agency world

Thu, 15 Oct 2009 06:44:45 +0000

[...] writing about a Social Media Scorecard based on Digital Footprint Index I created one – just out of a sense of curiosity (had an idea I could build it using Radian6 [...]

By: Gahlord

Gahlord — Thu, 01 Oct 2009 12:32:57 +0000

That is completely awesome. Thanks for the great post with charts/graphs etc.

The bit about Twitter being such a focus because the potential reach is so great is dead on. As people start getting better web analytics from that channel figuring out a “handicap” for it might be worthwhile.

Great post.

By: Ryan Rasmussen

Ryan Rasmussen — Tue, 29 Sep 2009 13:55:02 +0000

It’s exciting to see this.

You hit on one of the most compelling qualities of the Digital Footprint Index. Because of the multitude of tools (both free and subscription-based) that can provide all of the metrics needed for the scorecard, Height, Width, and Depth become a holistic method for understanding and benchmarking how a brand (or individual) is talked about, shared, and understood online. Radian6 was a great choice for running most of the data.

You are completely right about the need to compare the DFI values to that of the industry or leading competitors. The values over time are informative, but a competitive context for those numbers is essential for understanding if the value is “good” or “bad.”

I’m also really glad you tackled the three-dimensional representation issue. I have spent hours trying to figure that out! [Still looking for ideas]

By: Connie Bensen

Connie Bensen — Mon, 28 Sep 2009 00:31:21 +0000

Hi Marshall,
The dictionary in SM2 is fully customizable so you can make the sentiment analysis as accurate as you’d like.

Connie
Community Strategist
Techrigy / Alterian
@cbensen

By: Trey Pennington

Trey Pennington — Sun, 27 Sep 2009 23:50:07 +0000

Wow. Thanks for sharing this. Looks like a good way to incorporate reporting from a variety of data sources. Trey Pennington