Bracing for Impact

[Jack Aboutboul]

Part of the plan, post F11 is to do something with marketing where can 
not only create content, but also try and get more fine grained 
metrics.  One of the items on my to-do list is to sit with Mike the week 
or so after release and figure out what we can do to make that a 
reality.  Any other suggestions are welcome as well!

Jack

Jeff Spaleta wrote:
> On Tue, Jun 2, 2009 at 6:21 AM, Paul W. Frields <stickster at gmail.com> wrote:
>   
>> I'd suggest you get with the Infrastructure guys and find out how we
>> could cull referral data in a way that would be helpful.  Perhaps that
>> data could tell us how effective various types of marketing work are,
>> so we could concentrate on doing the most effective things for
>> spreading news to *outside* the Fedora Project, and bringing those
>> visitors in.
>>     
>
>
> First of all, the alternative explanation for the spike is that people
> showed up on the original schedule release day. in a massive wave.  It
> could be we had nearly 2 million really disappointed people all
> showing up on the originally scheduled release day.  If everyone is
> prepared for possibly seeing that publicly stated I can examine daily
> counts for the month of May and post a graph.
>
> Second, in order to seriously track effectiveness I need to to have
> some sort of implicit measure of aggregate marketing "output" that I
> could trend along side with hit counts.  As aggregate marketting
> output goes up..do counts go up?  I dont have any suggestions for a
> trendable marketting output metric.
>
> Or, if we want to look more fine grained than that, and look at the
> effectiveness of individual marketting efforts I would need to be able
> to pinpoint those efforts in time and maybe location and see if they
> had a localized impact.  Localized meaning...in the scope of the
> audience that saw the marketting. For example, should we expect to see
> an increase in traffic from a certain region or country where Fedora
> has a strong marketting presence at a physical event?  I could try to
> parse the logs looking for that sort of uptick.  Another example, when
> we have specific digital marketting like the focus on feature
> interviews..can see how that drives traffic via refurls? Can we get
> agreements from technical laypress sites about always including
> linkages to a particular project page?
>
> I'm pretty sure the pythonic log parser i hacked together can deal
> with parsing referral urls I just haven't had a reason to do it yet.
> If I had a list of specific urls I could probably give you some useful
> relative stats about them.
>
> -jef
>
>