Advertisers are unknowingly wasting 30 to 50%, and as much as 80%, of their location-based targeting spend on inaccurate, poor-quality data, some of which is fraudulent. They are being told by their partners that “everything is fine,” but the answers to a few questions could reveal a very different story.
Here are five questions brand managers should be asking their agency partners about location data. The answers will help vet the quality of the data you are purchasing.
Personalization has long been touted as the future-proof way for businesses to connect with and retain customers. With Gartner predicting enterprises will win or lose due to customer experience in 2019 and beyond, offering customers meaningful, personalized experiences takes on even greater importance.
To uncover the truth about how personalization efforts are affecting the bottom line of the Global 2000 and just how much one-to-one personalization is taking place, we conducted a survey with Forbes that asked 200 marketing leaders just that.
Unfortunately, there’s no “silver bullet” for separating good data from bad. Instead, organizations should think of data quality as a habit, with “good” data clearly defined and concrete processes in place to harvest what’s valuable and discard what isn’t.
With that in mind, here are three steps to taking unfiltered data and deciding what to keep — and what to throw out — to achieve optimal data accuracy.
Jake Moskowitz, head of the Emodo Institute, debunks some myths about location data. Here’s the first shocking one: Location data can’t find you 60 million devices that visited a Hyundai dealership within the last month or two… or three, because that’s impossible. Throughout all of 2017, across the entire US, there were only about 17 million cars sold in total. That includes Hyundai, Honda, Ford—indeed, all brands. In data stores, users run across super-sized segments all the time. It’s not uncommon for vendors to claim that their single-brand auto dealership visitor segments include tens of millions of consumers. Location data is powerful, but it can’t make up shoppers.
“Location data offers the ability to turn universal ads into local ads. Same as local TV. The issue is how location targeting is being executed,” says location-based ad veteran Warren Zenna. “People don’t look at ads on their phones when they are out doing things like shopping and driving around. They look at them, sometimes, when they are inactive. Mobile ad creative needs to be better — more engaging and more contextual — and presented when someone is in a contextually relevant mindset.”
You need proven industry benchmarks if you want to set realistic goals and expectations for location data-driven marketing. Going forward, these norms can help you form and answer key questions about location data-based tactics, so you can make more informed data decisions.
Why all the recent talk of going data-only when data shows that customers are amenable to providing location data if it leads to relevant advertising? Let’s take a closer look at what a long-term commitment to our media partners really requires when it comes to location, minus all the triopoly panic.
Digital advertising is an incredibly sophisticated industry, yet when it comes to selling in the data store, vendors lack incentive and opportunity to focus on quality. Instead, they’re restricted to sales tactics—none of which are good for buyers, brands, or the industry.
Harry Dewhirst may be the real-life version of Dos Equis’ “Most Interesting Man In the World.” President of location intelligence company Blis, he holds no permanent residence, dynamically bouncing among Airbnbs and hotels, including the undisclosed location in Singapore where we reached him for the latest episode of Heard on the Street.
In order to be effective, marketers need to know how various segment options stack up and measure up in terms of accuracy. Just like with increasing viewability, the first step toward a fix in data quality is realizing and acknowledging the problem.
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From brands to vendors to publishers, DMEXCO is a good bellwether to consider when trying to understand where things are headed. Brands taking control, data quality, and publishers getting smarter about data are key topics I kept hearing about—and for good reason.