A couple of thoughts on Ari's question of what kind of metrics to  
capture for funders and for engagement.

For funders or other purse-string holders I want to demonstrate the  
financial value of the website. How? Identify business objectives and  
turn them into web metrics. For example, what is the value of  
deflecting a call to a customer service agent? What is the value of a  
newsletter subscription? What is the value of a lead generated online  
rather than by telemarking or direct marketing? What is the value of  
an eCommerce sale? How? Define a success event, like a conversion and  
give it a monetary value. Not always an easy thing to do, but it will  
make for a valuable conversation.

For engagement, I want to measure the attitudes or customer  
satisfaction levels of our audiences and communities. Two key  
questions to ask are ?What was your primary purpose in visiting the  
website today?? and "Did you accomplish what you came to the website  
for today??.

Ian Rubenzahl



> From: mcn-l-request at mcn.edu
> Date: July 12, 2009 3:00:02 PM GMT-04:00
> To: mcn-l at mcn.edu
> Subject: mcn-l Digest, Vol 46, Issue 9
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> Today's Topics:
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>   1. Re: Useful website metrics? (Chan, Sebastian)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Sun, 12 Jul 2009 19:51:16 +1000
> From: "Chan, Sebastian" <SebC at PHM.GOV.AU>
> Subject: Re: [MCN-L] Useful website metrics?
> To: "Museum Computer Network Listserv" <mcn-l at mcn.edu>
> Message-ID: <A913C79ACD1ADC46955FA806B297D8645B105C at MUTO.phm.gov.au>
> Content-Type: text/plain; charset="iso-8859-1"
>
> Hi Ari
>
> Tracking downloads with GA is easy - especially if you can modify  
> your CMS slightly.
>
> Here's the info - 
> http://www.google.com/support/analytics/bin/answer.py?hl=en&answer=55529
>
> Basically you need to implement this on everything you actually want  
> to track.
>
> Now you might say, "but this excludes people who use Google to  
> arrive directly at the PDF!" . .  .to which I'd reply that you  
> probably want to counting the people who actually access your  
> content via the interface/branding of your own site as they are the  
> ones you can 'convert' and interest in your other activities.
>
> Seb
>
> Sebastian Chan
> A/g Head of Digital, Social and Emerging Technologies
> Powerhouse Museum
> street - 500 Harris St Ultimo, NSW Australia
> postal - PO Box K346, Haymarket, NSW 1238
> tel - 61 2 9217 0109
> fax - 61 2 9217 0689
> mob - 0413 457 126
> e - sebc at phm.gov.au
> w - www.powerhousemuseum.com
> b - www.powerhousemuseum.com/dmsblog
>
>
>
> -----Original Message-----
> From: mcn-l-bounces at mcn.edu on behalf of Ari Davidow
> Sent: Sun 7/12/2009 1:13 AM
> To: Museum Computer Network Listserv
> Subject: Re: [MCN-L] Useful website metrics?
>
> Oh, yeah! that's a great article, Seb. Thanks for the reminder.
>
> You'll get no argument from me about the difference in credibility
> between GA and log analysis. It may be my lack of time with the tool,
> but I haven't found a good way to use GA to track downloads, though.
>
> In our specific case, as an online-only institution, geographic
> segmentation hasn't been of much use, other than when we talk with a
> funder based in a specific locale, to show that use of our site is
> local to them. But we could do much more with segmentation in general.
>
> For social media, we do use some quantitative measures (followers and
> fans; comments per post and retweets, referrals back to our home
> website), but none of those numbers seem terribly significant so far.
> I usually say that's an accurate reflection of the time we put into
> using those media.
>
> ari
>
> On Fri, Jul 10, 2009 at 9:42 PM, Chan, Sebastian<SebC at phm.gov.au>  
> wrote:
>> Hi Ari
>>
>> I'd suggest you want to be segmenting these figures by geography at  
>> the very least. And probably by source and entry point.
>>
>> GA will give you much more accurate figures than *any* log analysis  
>> tool - 100% 'accuracy' is not possible (and wouldn't tell you  
>> anything in any case!).
>>
>> In the social media world you probably want to emphasise  
>> qualitative activity over the quantitative. Again, you'd segment by  
>> intention.
>>
>> My paper from MW08 is still reasonably valid - 
>> http://www.archimuse.com/mw2008/papers/chan-metrics/chan-metrics.html
>>
>> Seb
>>
>> Sebastian Chan
>> A/g Head of Digital, Social and Emerging Technologies
>> Powerhouse Museum
>> street - 500 Harris St Ultimo, NSW Australia
>> postal - PO Box K346, Haymarket, NSW 1238
>> tel - 61 2 9217 0109
>> fax - 61 2 9217 0689
>> mob - 0413 457 126
>> e - sebc at phm.gov.au
>> w - www.powerhousemuseum.com
>> b - www.powerhousemuseum.com/dmsblog
>>
>>
>>
>> ----------------------------------------------------------------------------------------------
>> This email and attachments are for the use of the intended  
>> recipient(s) only and may contain confidential or legally  
>> privileged information or material that is copyright of Powerhouse  
>> Museum or a third party. If you have received this email in error,  
>> please notify the sender immediately and then delete it. If you are  
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>> for the content of this message.
>> -----Original Message-----
>> From: mcn-l-bounces at mcn.edu on behalf of Ari Davidow
>> Sent: Fri 7/10/2009 4:50 AM
>> To: Museum Computer Network Listserv
>> Subject: [MCN-L] Useful website metrics?
>>
>> There are lots of things we can track about our websites and about  
>> the
>> ways in which people interact with them. Here are some that matter to
>> us:
>>
>> * Downloads of podcasts
>> * Downloads of lesson plans and other website PDFs
>> * New pages posted to the website: our blog posts, new articles
>> * Ways to measure "engagement" or "interactivity": comments/blog  
>> post;
>> updates posted to our encyclopedia; blog comments/page views
>> * Number of donations made to the organization online: how much
>> raised, how many people contribute online, mean and median online
>> contributrions
>> * Subscriptions to our e-letters; turnover on the e-letters; % of
>> e-letters opened; % of e-letters that leads to clicks
>> * Site visits: unique visits, unique visitors, time on site
>> * Links to site (google link:); Links to blog posts (technorati)
>>
>> External sites (these numbers should get big enough to be worth  
>> tracking!)
>> * Mentions on twitter; RTs on twitter; followers on twitter
>> * Fans of Facebook page; activity on Facebook
>> * Fans, activity on Flickr exhibits
>>
>> Etc. We are relying on Google Analytics for most numbers (except for
>> the absolute site visit numbers, where we continue to use older log
>> analysis software for now--bigger numbers, and not yet comfortable
>> that we are capturing everything on GA)
>>
>> What metrics do other people use? Which provide best info for  
>> funders?
>> What helps you understand best whether or not you are doing a good  
>> job
>> of getting people engaged on the website--or on other relevant social
>> platforms?
>>
>> ari
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