Tag Archives: data usage

Dark Social

I will admit upfront that today’s screed is a little wonky.  You might want to stay with me though – you might just figure something out about your business as we go.  Ready?

The topic today is what’s been called “dark social” traffic.  No, these are not teenagers cruising Main Street late at night.  It refers to people coming to your website based on a link that’s been shared to them socially.  In other words, when I see an article I like and share it with a friend via email or messaging, most web analytic systems don’t really get how the recipient got to the website (although some are beginning to).  Since they clicked on a URL and went directly to the site (not from another website), it’s reported as direct traffic which is a big dumping bin of mostly unknown sources (even though it’s supposed to be users who came by typing the URL or via bookmark).  With me so far?

I did a little exercise on one of my client’s site traffic.  I looked at direct traffic which didn’t enter the site on the home page, an indicator to me of dark social traffic since people don’t generally type in long URL’s.  11% of their traffic was dark social.  With another client it was 34%.  I did some research and it turns out that those numbers are pretty typical – The Atlantic Monthly, which receives 5M monthly uniques, reports 60% of traffic from dark social.  Smithsonian Magazine realized it was 82% of their shares. Why is this important to you?

If you’re spending time analyzing your data to make better marketing decisions – which audiences to target through which channels, which content is socially relevant, etc – knowing what’s being shared and by whom is important.  The client I checked usually has a somewhat older skew and we use that in marketing.  The dark social traffic, however, demonstrates not only a higher rate of sharing of content among younger (18-24) people but also a higher conversion rate.  Very interesting and actionable data point.

The broader point is one you’ve heard before.  We need to spend time thinking about how our customers and potential customers come to and interact with our brand.  We need to formulate good questions and try to answer them with the data.  Data for data’s sake is useless.  Using data to drive actionable business decisions is where we are right now in marketing and business, at least where I and my clients are.  You?

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Sick Reviews

Today’s Foodie Friday Fun finds us at the intersection of food, data, and social media.

New York Skyline

(Photo credit: CJ Isherwood)

Yes I know we’ve been here before but today’s tidbit concerns an article in the NY Times the other day. The NYC Health Department conducted a pilot study using Yelp reviews to see if they could identify unreported outbreaks of food-borne illness.  Despite what some may think, not everyone calls the city to let them know they got sick eating someplace.  What many folks do, however, is post something on social media.  Since Yelp is the go-to site on dining out, it would make sense to start here.  One can easily see the effort expanding to other likely places – Twitter, Trip Advisor, etc.

So what did they find?

Using a software program developed by Columbia University, city researchers combed through 294,000 Yelp reviews for restaurants in the city over a period of nine months in 2012 and 2013, searching for words like “sick,” “vomit” and “diarrhea” along with other details. After investigating those reports, the researchers substantiated three instances when 16 people had been sickened.

Doesn’t sound like much but it’s a start.  Maybe you’re aware that Google tried something similar to help spot flu outbreaks.  There is a bigger business point here.  What the city is doing is growing big ears.  They’re learning to use the vast amount of self-reported data to eliminate problems in some cases before they’re actually reported via the official channels.  The three instances they found were open for business with no complaints on the official record.  Inspections turned up unclean conditions at all of them.

The real question is how are you going to do something similar in your business?  Maybe you’re watching your Facebook page for negative comments or responding to people pinging your brand account on Twitter.  What are you doing to get beyond those quasi-official channels?

I wrote the other day about the need to improve data quality.  Sure – in theory a bunch of vindictive people could trigger a health department visit by writing up negative posts containing keywords or phrases.  In theory, I could win the U.S. Senior Open.  Neither is likely to happen.  What is likely to occur, however, is that your competition will find new ways to seek out and use information to drive their businesses forward.  Will you be there with them?

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Political Polls And Your Business

It’s election season and there are multiple new polls released every day.

Description=Opinion polling by state for the U...

(Photo credit: Wikipedia)

It’s a lot of data and the media jump on each tidbit to proclaim the outcome of an event that’s still many weeks away.  Each new glimpse of the situation is treated as if today was Election Day until the next piece of information surfaces and the cycle begins again.  Sound like your business?

It’s a very instructive situation and points to something I tell my clients all the time.  A data point isn’t really important in and of itself.  What IS important is the trend of that data and what it reflects about your business.  Continuing the political example, Romney’s poll numbers over time have been declining while Obama‘s have been trending up.  Many polls are still within the statistical margin of error about which candidate is winning (a fact often overlooked since these are results based on samples).  Still, the data points to a sense of things, especially when you get past the top-line numbers and dig into segments and qualitative questions such as readiness for job, feelings about the person, etc.

If these were your web analytics, you’d want to do the same sort of thing.  Get past the top line stuff – visits, page views – and dig into segments.  Are visits from organic search up or down?  Are we seeing new and relevant search terms creating visits or is everything limited to searches on your company name indicating a narrow audience?  What are the different usage trends among new and repeat visitors?  How is social impacting your audience?  Are entrances coming to many pages or just one?

Don’t worry about any one day, worry about trends and you’ll be on a much more actionable track.  Rolling averages and trends don’t cause daily fire-drills to fix something that might be a blip.  Panic over a one-time occurrence usually does way more harm than good, whether it’s a poll, an analytics report, or a financial statement.

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