Showing posts with label metrics. Show all posts
Showing posts with label metrics. Show all posts

Tuesday, March 13, 2007

A marketing metrics primer

Since I'll continue to address marketing metrics here on LM, it's important to have an understanding of when and how to use metrics, generally speaking. To that end, there is a concise summary of the characteristics of helpful metrics in the MarketingProfs article, Five Fundamentals for Useful Marketing Metrics (free registration required). The author argues that metrics should focus on these 5 areas:

  1. Essential metrics criteria
  2. Customer-acquisition metrics
  3. Product "wow" metrics
  4. Customer-retention metrics
  5. Strategic accountability
It's important (and a bit of a relief!) to acknowledge that you can't and shouldn't measure everything. We need to be selective about what we measure in the context of our goals and go from there. This article helps focus metrics on only the most significant aspects of our work. We should keep this in mind as we continue discussing marketing metrics. Happy measuring!

Tuesday, March 06, 2007

Marketing metric: Attitudes

One fun way to measure attitudes is by using a Semantic Differential Scale (at least, I think it's fun). This scale is used by marketers to measure things like attitudes toward a brand. If you're interested in finding out what patrons' image of your library is, this could be the scale for you.

It works like this: Subjects make judgements about your library based on a series of 7-point scales (Note: Some scales have more or fewer points). On either end of the scales, there are polar-opposite adjectives, such as "Fast"/"Slow", "Modern"/"Old-Fashioned," and so on (example). Patrons indicate how strongly they relate to these concepts by marking the point on the scale that most closely matches their attitudes. You could also ask patrons to evaluate your library and a competitor of interest to see how attitudes vary.

You would score the scale by assigning scores (7,6,5,4... or +3...0...-3) then take the mean or median to compare results with a competitor, if you'd like. (There are other statistical tests you can perform also, but I would recommend getting a book on the topic for details).

I terrific and concise article, Considerations When Constructing a Semantic Differential Scale by Jayne Al-Hindawe delves into more detail, including how to pick appropriate adjectives, how many pairs of adjectives to present, etc.