Tag Archives: Data mining

A Snap Of A Dilemma

Are you on Snapchat? I am, although I don’t pretend to understand it as well as some of my younger friends. What I do understand about it, however, is that they are facing the sort of dilemma that torments a lot of businesses. I don’t have any real answers today but maybe you do. Let’s see. 

Snapchat began as a way for users to send disappearing content – photos, videos – to other users. Of course, as with everything on the internet, the content never really disappears (screengrabs, anyone?), but let’s put that aside. The app became very successful and now has over 100 million daily active users. That’s the sort of scale that becomes incredibly appealing to marketers, and it also makes other revenue options such as commerce and data mining more viable.

Now the dilemma. Snapchat’s business has been built to a great extent on the premise of privacy. If you’ve ever tried to locate someone on the platform, good luck. If you don’t have the email address they’re using or their exact Snapchat name, it’s very hard. That may be great if you’re a user trying to avoid stalkers, but if you’re a brand trying to get users it means you need to do a lot of external marketing of your Snapchat presence.  This quote from a recent Digiday piece says it nicely:

One of Snapchat’s main selling points with users entails its combination of anonymous users and disappearing messages. The company has been strident about not building profiles on users to creepily advertise to them. As the reality sinks in about the need for a viable business, more targeting and data capabilities follow. Technology partners are able to bring their own data to an API — email lists and other customer information — to serve ads against.

Therein lies the dilemma.  Until now, Snapchat has tried to make money by selling “lenses”, overlays that will let you alter your snaps so that, say, you can be vomiting rainbows (and who doesn’t want to do that!).  While $300,000 a month in lens sales is nothing to sneeze at, it’s not nearly the kind of monetization that a platform with this kind of user base can command. They also tried to sell ads embedded in some of the “stories” that are a part of the service (they’re a series of snaps linked together around a theme).  Apparently they don’t have enough user data or metrics about engagement to satisfy big spending.  So what do they do?  What is the business?

The balance between staying true to the reasons customers engaged with you in the first place and making money is tricky.  Better metrics and targeting might mean less privacy.  More ads in content mean less user enjoyment (no one likes being interrupted). Less enjoyment and decreased privacy might mean a decline in the user base.  But it is a business, and investors want to see a return.

So what’s the answer?

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Filed under digital media, Thinking Aloud

It’s Not Just Data

There is an interesting case that was argued before the Supreme Court the other day and it just might have an impact on your business.  There was also a lawsuit filed in an unrelated matter that could have the same effect.  A third item is a study that’s kind of scary. Let’s have a quick look at them and think about what they might mean to anyone who gathers information about their customers. 

First, the case before The Supremes.  It involves Spokeo, one of the large data aggregators.  Spokeo’s information about a consumer was almost 100% wrong.  As Justice Kagan said, “They basically got everything wrong about him. They got his marital status wrong. They got his income wrong. They got his education wrong. They basically portrayed a different person.”  The plaintiff was seeking a job when he filed suit, and worried that the errors in the report would affect his job search.  The other suit involves Ashley Madison.  They were sued for allegedly misleading users by inflating the number of women who belonged to the service.  As we have found out from the data hack, only a small percentage of the profiles belonged to actual women who used the site.  The company hired employees whose jobs were to create thousands of fake female profiles.

I suspect that a third form of data abuse will be in the courts shortly, as a recent study found that the average Android app sends potentially sensitive data to 3.1 third-party domains, and the average iOS app connects to 2.6 third-party domains.  None of the apps notify users that their information is being shared with third parties.  Data that’s wrong, data that’s fake, and data that’s shared without permission.  I suppose if we could get the fake guys to populate the wrong guys, sharing it without permission wouldn’t be a big deal.  Since it’s your personal information, it is.

If you gather data (and who doesn’t), you have a responsibility to keep it secure and not to use it for purposes beyond what the owner of the data (that would be you and me) reasonably expects you’ll be doing with it.  If you’re disseminating data, especially data that could impact someone’s life and not just your own business, you need to be sure it’s accurate.  And if you’re making stuff up, please just go away.

They’re not just data points, folks.  They’re people.  Maybe they’re lawsuits in waiting, or maybe they’re your spouse, kids, or parents.  Let’s be careful out there, ok?

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Filed under Helpful Hints, Huh?

Coleridge And Your Data

Someone probably made you read Samuel Coleridge‘s Rime Of The Ancient Mariner along your educational way. It contains a couplet that got me thinking about data:

Samuel Taylor Coleridge

Samuel Taylor Coleridge (Photo credit: Wikipedia)

Water, water, every where,
Nor any drop to drink.

We spend so much time collecting and attempting to analyze data and yet it seems difficult to “drink” from the overwhelming amount we have.  I wonder if we keep an eye on the reasons why we gather data in the first place.  In my mind, there are  two main reasons to collect data:

    • To form actionable business questions
    • To measure how where we are today is different from where we were yesterday

Let me take a second to discuss them.  When we gather information from a customer or potential customer, we should always have a reason for doing so.  Otherwise we’re just filling up our data storage with bits we’ve got no need to store.  A recent IDG Connect study found that the biggest hurdles facing companies in terms of data were poor data quality and excessive data, so we need to think before we gather.  Some of the information they will give you (name, email, maybe a physical address); other information you’ll take yourself (usage patterns on the web and/or mobile, information our of social profiles, etc).

We ought to be using some of that data to educate our fans about our brand and industry.  That falls under the “actionable” category.  What results do we want from them?  How can we tell if we’re moving the needle?  One big day of traffic might be an aberration but trends tend not to lie over time.  I like this quote from the report:

The true value of Big Data is in the ability to leverage it for development of an informed strategy. Organizations need to move beyond a focus on just managing data to extracting trends and insights that will drive business outcomes.

So if you’re feeling overwhelmed by the amount of information you have, you probably have too much.  It’s probably not properly focused.  We need to collect as little data as possible – it’s much easier to drink a glass of water than an ocean.  It should be just enough to generate insight and not enough to foster confusion.  Which are you doing?

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Filed under Consulting, Helpful Hints