Tag Archives: data usage

You Can’t Handle The Truth

There has never been a time when it’s been easier to get information. If you don’t believe me, pick up that computer you keep by your side most of the time (that would be your smartphone), push whichever button activates either Siri, Google Assistant, or whatever flavor of virtual assistant you have installed, and ask what the weather will be tomorrow. Ask who the Prime Minister of Denmark is or a few ways you can cook a turnip. We have the world at our fingertips.

That can be true with business information too. Traffic to your media properties, interactions with your content, results of your ad and social media campaigns, and feedback on how your company or brand is interacting with the world at large are all readily available for analysis and action. So is customer data, market predictions, and just about anything else you’d need to know. Pretty awesome, right?

The problem is that not everyone wants to know the truth about these things. Take the manager whose staff is leaving in droves. They “hear” it’s because of a better offer but they don’t take the time to sit down and dig into if there is an underlying problem in their operation. They couldn’t handle it if the problem was really them and their management style so they avoid the question.

Then there is the web person who is under pressure to keep growing traffic and doesn’t bother to exclude the kinds of traffic that inflate the numbers. You know: your own internal use of your website, traffic from places where you don’t do business, referrer spam or other obviously fake traffic. They know the truth but their bosses can’t handle it.

The problem with having information is that it compels you to act. We can always deny there is a problem if we don’t know about it or if we think the information we have is inaccurate. As with the law, ignorance is no excuse in my mind. I’ve been in meetings where some excellent forecasting predicts a downturn in a company’s business but several members of the management team want to expand their spending. The forecasts are subordinated to the feeling that more spending will yield more revenue despite the fact that the company’s share of the market has been steady for years and probably won’t increase in a downturn (which is basically what the managers are predicting). They couldn’t handle the truth: they need to tighten their belts and ride out the next few quarters. They’re no longer in business, by the way.

We hear an awful lot about fake news and there certainly is some out there to be ignored. Your business analytics don’t fall into that category and you ignore them at your own peril. If you can’t handle the truth, you can assume that reality will handle you one way or another. OK?

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Filed under Consulting, Reality checks

Fighting About Data

I think everyone knows that a lot of data is collected as we conduct our daily digital activities. Google and the other search engines know what we’re looking for, Amazon and other commerce sites know what we’re shopping for, Facebook knows what we like, LinkedIn knows who we know, etc., etc., etc. These data footprints are collected and in many cases sold to marketers and their agents to allow them to serve ads to you. If any of that comes as a shock to you, I’m not sure where you’ve been for the last decade or more.

What you might not have thought about, however, is that the ads themselves collect data. How many times has someone seen it? What kind of person (that pesky data that the aforementioned guys have) has responded to an ad, and how well do the ads translate to sales (lovingly called the conversion rate as if someone is changing religions…). As it turns out, there is a bit of a controversy about who actually owns that data: the advertiser or the agency. The marketers believe that they are the rightful owners while the agency folks believe just as strongly that they are. Neither side feels that the publishers who serve the ads and, therefore make data collection possible, have much of a claim to it. Of course, even publishers came out ahead of one other group as the rightful owners in the survey: consumers.

As you can see in the chart, only 10% of advertisers and 15% of agency respondents believed that consumers had a claim to their own information. That’s tragic. Why? Because it represents a mindset that is ultimately self-defeating. It can lead to legal problems at worst and consumers opting out (if they can figure out how) at best. What have the advertiser or the agency done to give the consumer value for the data? Nothing, in my mind. One could argue that the ads they serve make possible the content the consumer enjoys, but those very ads make that enjoyment nearly impossible given the state of ad-serving today, particular in mobile.

Unless and until we on the marketing side see the consumer as at least an equal partner in our business and not as a bunch of rubes or just as “data”, the problems with ad blocking, anti-spam rules, and other protective measures aren’t going to go away. What will go away are the people represented by the very data over which the agencies and marketers are fighting. You agree?

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How Facts Can Be Fiction

I was discussing some numbers with someone the other day. It was clear from the conversation that she was taking every bit of data as gospel. I tried to explain a few important things to keep in mind when working with data and as I thought about it perhaps my thinking could be helpful to some of you out there in screed-land.

We all want as much certainty in our business lives as we can get. Part of that is wanting all of our numbers to be facts. They’re not. You may be familiar with the term “sampling error.” Basically, it means that the data is off because the sample from which the data is drawn is not representative of whatever it is you’re trying to measure. While you might think that, for example, your analytics measure everyone, they don’t. Most of the data we read uses some sampling. Sometimes it’s a timing issue – financial data, in particular, can be skewed based on where we might be in a business calendar or where those who pay us are in theirs.

The point is that there are error rates involved with many of these “facts” because these facts are really just estimates.  TV ratings, for example, are probably the most widely known estimates and multi-billion dollar businesses involving networks, agencies, and marketers revolve around numbers everyone knows are not particularly accurate. There are error rates.

Here is the advice I give people. Figure out what questions you’re trying to answer and then find as many different sources of data as you can. If possible, see if you can get multiple people to interpret those data sets. In theory, they should all come up with the same answers. It’s critically important that you NOT tell them what position you’re trying to support (can you find me some information that says we should do XYZ). That is a recipe for disaster because it encourages people only to look at data or interpretations of data that supports what you or they already think is true. That is turning “facts”, which are already often on shaky ground, into a larger fiction, and that’s not what we’re after, is it?

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Filed under Consulting, Thinking Aloud