Home Data-Driven Thinking Location Accuracy: Three Common Questions

Location Accuracy: Three Common Questions

SHARE:

dansilver“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

Today’s column is written by Dan Silver, director of marketing at xAd.

Things move quickly if you’re a mobile location technologist. A week can feel like three months, and if you’re not paying attention, it may seem like the world has passed you by.

That is also what it’s like for an agency media planner. That isn’t a knock on the planner, but a testament to their adaptability. The onus is on the technologist to make sure the media planner, agency or landscape, as a whole, understands the advantages they offer.

Among all the questions asked by agencies about mobile location accuracy, these are the most common:

1. What exactly is “lat/long” and how can it ever be inaccurate?

Let’s keep it simple. When a publisher sends an advertising request, whether it’s for an app or the mobile Web, a device’s location signal may be passed on using the phone’s built-in location services.

While there are many ways of deriving a device’s location, the most common are through global positioning system (GPS), geo-IP and registration data. GPS satellite-based data is the best-case scenario for advertisers, offering accuracy within 100 meters. Imagine the accuracy of your favorite navigation app, which uses the same data.

Publishers can also infer location by reverse geocoding the IP, but it’s a much less precise method with accuracy at the ZIP code level. Other times, publishers may relay a user’s self-inputted registration data, but the accuracy depends on how much you trust people, in general.

Whichever method of attaining this data, the publisher or ad network will convert this signal into a latitude and longitude coordinate. True GPS-generated lat/long data is often reported to be around 20% of all mobile inventory. The initial source of data will impact the accuracy of the lat/long reading.

2. Why does location accuracy matter if I’m running a branding campaign?

Location accuracy is even more important in a branding campaign because scale is key and any ad waste can greatly reduce ad effectiveness. With a branding campaign, you want to serve the most effective advertising at the most efficient cost. Therefore, if you are serving wasted impressions, you are greatly reducing the effectiveness of your buy. Location data passed through devices vary on a number of factors, and up to 80% of mobile location data are inaccurate.

So why would an impression be considered wasted? Registration data is an easy example to use. Many apps serve location signals based on user-generated ZIP code registration data. Think about college students who use their hometown ZIP codes for apps. They may be targeted for certain campaigns, when in reality they could be hundreds of miles away, out of state, or even across the country attending school.  The most common ZIP code used for registration is 00000. You can imagine this would not be very helpful when trying to determine a consumer’s current location.

3. My client doesn’t have physical store locations, so why would I need location-based targeting?

Location-based targeting isn’t only about serving an ad to a desired location.  Through accurate location intelligence, we can define and build real-world audience profiles.

Let’s say you are promoting a new golf shoe. One way you might want to target your audience would be content-based, such as running advertisements on golf or sports-related websites or apps. This makes sense, but how would you really know you are reaching actual golfers, as opposed to casual sports fans?

How about running ads that are reaching consumers who are physically on, or have been on, golf courses. You could also target consumers who are in, or have been in, sporting good locations – true in-market athletes. How about targeting consumers who are searching for the nearest golf facility on their mobile device?  Consumer behavior is an incredibly powerful way to define audiences, so consider this the next time you question the best way to reach your target market.

The accuracy of location signals for mobile advertising can make a world of difference for your targeting needs. Having a better understanding of the actual technologies that are being deployed in today’s marketplace will make you a smarter advertiser. Don’t be afraid to ask questions – it’s a technologist’s job not only to innovate, but to educate.

Follow Dan Silver (@danjsilver), xAd Inc. (@xAdInc) and AdExchanger (@adexchanger) on Twitter.

Must Read

Single continuous line drawing robot riding pencil rocket flying in the sky. Tech education and creativity. Future technology development. Artificial intelligence. One line design vector illustration

Q3: Omnicom’s Media Business Is Growing, But Is It Agent-Proof?

If AI agents can plan and buy media, who needs a holding company? Good question. It came up during Omnicom’s Q3 earnings on Thursday.

Netflix Touts New Measurement Capabilities As It Struggles With “Modest” Engagement Growth

Netflix’s revenue grew 12% YOY to $12.9 billion in Q3, which it maintains is in line with its forecast. Its ads business, however, is lagging slightly compared with expectations, causing Netflix to tweak its forecast for the rest of the year.

Apple Publishes Its Plan To Wipe Out Web Tracking

Apple is coming for identity resolution. WebKit’s latest tracking crackdown targets the infrastructure behind post-cookie IDs – and switching to a first-party setup won’t necessarily spare vendors.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

AI Slop Sites Are On The Rise. Is Ad Tech Ready For Its New MFA Challenge?

Advertising supply chain intelligence company DecryptAds uncovered more than 2,100 AI-generated recipe sites that are monetized with programmatic ads and feature fabricated author profiles.

How Australian Home Lender Lendi Measures The Invisible Work Of AI

Most brands and businesses are trying to figure out how to improve their metrics when it comes to AI – and also what those metrics even are.

AI Startup Minerva Built An Agentic CDP, But Don’t Call It That

Minerva wants to turn fragmented customer data into something marketers can use, with AI agents doing the work behind the scenes.