Tag Archives: Data

Reaping What You Sow

A heavy topic for midweek, kids, but today it’s karma or, in less religious terms, what goes around comes around (such a child of the 60’s, I know).  What has me on this topic are a couple of things that came out during the last week and I want to bring them to your attention.  Both have some strong implications to anyone who uses the web (and obviously, since you’re reading this, you’re included).  In a sense, there’s a third thing – the whole PRISM program from the NSA – but since we don’t do politics, and that program can’t really be discussed without politics entering the discussion, I’m going to table it.  I will say, however, that if you’re angry about it now, where were you a dozen years ago when it all began?

That’s sort of the point I want to make about the other two topics.  The first are the “shadow” profiles Facebook has been gathering.  It came out that a bug on Facebook exposed user data for 6 million folks.  Moreover, the data it exposed proved that Facebook has been putting together profiles of everyone, even people not on Facebook, and the information contained in those dossiers has not been offered up to Facebook – they just found it.  The company that exposed it – Packet Storm – asked:

would Facebook ever commit to automatically discarding information of individuals that do not have a known Facebook account? Possibly age it out X days if they don’t respond to an invite due to a friend uploading their information without their knowledge?

Their response was essentially that they think of contacts imported by a user as the user’s data and they are allowed to do with it what they want. To clarify, it’s not your data, it’s your friends. We went on to ask them if Facebook would commit to having a privacy setting that dictates Facebook will automatically delete any and all data uploaded about me via third parties (“friends”) if it’s not in scope with what I’ve shared on my profile (and by proxy, is out-of-band from my privacy settings)?

We were basically met with the same reasoning as above and in their wording they actually went as far as claiming that it would be a freedom of speech violation.

Let’s repeat that:  it’s not your data.  The solution proposed?  Governmental intervention.  Frankly, I prefer the solution contained in the other topic of the day – the Cookie Clearinghouse being developed by the folks at Stanford.  I encourage you to click through here to see how it works.  It won’t solve the “bad actor” situation that we see in the Facebook example but since it’s designed  to enable browser developers to block third-party cookies — such as those set by ad networks — without also inadvertently blocking cookies from companies that have relationships with consumers, it’s a start.  The ad networks and others are not happy about any blocking and are doing their damnedest to stop it, but I think it’s pretty obvious that privacy is(finally) front and center for even casual users.

Sorry for the length today but the point is simple:  we reap what we sow.  If we’re bad actors when it comes to invading people’s privacy, the odds are that some legislated solution will arrive on your doorstep and it won’t be as simple as just doing the right thing you should have done in the first place.  Witness COPPA and CanSpam, brought about because the bad stuff came back around to haunt not only the perpetrators, but the legitimate companies that tried to behave as if it were their own data and their family’s data being taken.

Are you aware of this?  What do you think?

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Unoptimized Optimization

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The folks at Adobe

came out with their annual Digital Marketing Optimization survey and I finally got around to spending a little time going through it.  The results are kind of troubling to me.  You can get a copy of it here (registration required) to see for yourself.  The gist of the survey is to ascertain how well marketers are using the data available to them to optimize what they’re doing in digital media.  For example, one thing I usually tell my clients is low-hanging fruit is to optimize content and marketing around on-site search – what your users are typing into the “search” box on your site.  It’s a great indicator of content that’s either missing or not presented in a way that’s obvious to your user. 34% of site visitors use site search first (according to the study) yet fewer than 50% of respondents are optimiz­ing on-site search results.  Hmm…

Here are a few other findings that make me want to scratch my head:

  • More than 50% cited testing was not a company priority
  • Marketers spend $92 per user to acquire traffic yet only $1 to optimize it.
  • Landing pages (41%), home pages (33%), and paid search (29%) are the top areas in which marketers are conducting online tests. 38% are not conducting any.
  • Social sharing was only chosen by 9% of respondents for optimization even though there is other research that shows how social sharing can play a big role in conversions (especially for online commerce).

If I spent $92 to get you to my site I’d do everything I could to get you to stay!  Here are the study’s top 5 recommendations:

  • Prioritize optimization across your organization as a strategic process
  • Use a data-driven approach to optimization
  • Optimize conversion with video
  • Optimize social engagement
  • Optimize for all mobile channels

All of which is pretty good advice (but not always so easy to do!).  In other words, commit to refining digital as you might your “real” product – ascertain what’s working based on data and commit to making it better every day.

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Still Haven’t Found What I’m Looking For

U2 provides the succinct summary this morning of some research published by the folks at Lynchpin and Econsultancy.

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Those two concerns examined how companies are using and learning from analytics and their Online Measurement and Strategy Report brings us back to a theme we’ve explored previously here on the screed.  In brief, companies are finding out more and learning less.  What I mean, and what the report shows, is that companies have more data than ever about consumer behavior and yet because of a number of factors they find the data less useful and without context.

Here are a few findings:

A majority of marketers worldwide say that less than half of all the analytics data they collect is actually useful for decision-making. Just one in 10 companies thought a strong majority of analytics data was helpful, and less than a third said somewhere between half and three-quarters of all data was useful.

While finding the right staff has been also highlighted as a limiting factor in the report, one other issue that emerges after looking into the responses is that organizational issues are another common frustration.  These demonstrate themselves in ways such as :

There is one team in charge of web analytics – not a marketing team – so for the marketing colleagues it is a fight to try to extract data from the analytics team.

Huge and siloed organisations, complexity of aged infrastructure and sites, legal policies

Getting management agreement on goals.

Education of senior management in understanding the benefit of an integrated digital performance management process.

Once again we find that a lot of data isn’t necessarily a lot of information.  For that to appear we need to formulate actionable business questions that are concerns of as many stakeholders as we can involve and then seek out the appropriate data to answer them.  The more we know the less we understand, apparently, and many businesses still haven’t found what they’re looking for despite drowning in data.   I think that’s kind of amazing and a bit sad.  What do you think?

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