How to leverage device graphing for display, video, and OTT/CTV

Ever wonder how you ordered that Jimmy John’s sandwich on your phone and then saw an ad telling you to order another Jimmy John’s sandwich later on your laptop after you’d finished eating the Jimmy John’s sandwich you’d ordered off your phone? Well wonder no more! We’re about to unravel that mystery for you, and that mystery goes by the name “Device Graphing!”
What’s “Device Graphing?” Other than a digital marketer’s best friend, it’s essentially the technology that allows us to track a user’s behavior across multiple internet-connected devices, opening up a whole world of both targeting and conversion tracking capabilities. But how does it work? Well first, thanks for teeing me up with all these questions I’m super prepared to answer. Second, we employ a couple different forms of what we call “device attribution” to identify a single user to whom we can append multiple devices. And now you should brace yourself as we’re about to take a deep dive into my favorite place in the universe – the weeds!
The first form of device attribution we employ is called “probabilistic attribution”. Probabilistic attribution is conducted through data that’s relatively subjective. Think in terms of search behavior, browsing activity, social activity, etc. We analyze this activity on the devices we’ve flagged as belonging to the user we’ve identified as being within our target audience (usually through a mechanism like shared IP address across devices), and we look for patterns to emerge that indicate we’ve honed in on our targeted user.
The second form of device attribution we employ is called “deterministic attribution”. Deterministic attribution is conducted through a far more precise set of data, allowing us to uniquely identify a user as an individual. A good example here would be a login credential for an app or website. For instance, if a user is logged into Google on their phone, laptop, desktop, and tablet, they’re doing so with the same login credential, and thus we are able to make a highly accurate determination that these devices belong to that individual user. When we combine both forms of attribution, we achieve near-certainty that we are targeting ads to and tracking the behavior of the precise user we’ve identified as being in-market for our advertiser’s product or services.
This technology blows the door open not just for how we can precisely target a user, but it also provides a wide array of conversion tracking capabilities when employed effectively. We can track whether a user has been exposed to a display ad on their mobile phone and later goes to the advertiser’s website on their desktop; we can track whether a user clicked on a pre-roll video ad in a web browser on their laptop and later signed up for an advertiser’s e-newsletter on their phone; we can track whether someone exposed to an OTT ad on a Connected TV device purchased the product they saw advertised online at a later date; and when we include geodata in the mix, we can even track whether a user that saw an ad on any device (including a Connected TV device!) later went to the advertiser’s physical location after having been exposed to their ad. The possibilities are endless!
If you aren’t currently employing device-graphing concepts for targeting and conversion tracking in your Display, Pre-roll Video, and/or OTT campaigns, you should work with your provider to start implementing that technology today. And, of course, we at Phase 3 Digital are on standby to employ all these very same concepts to your business’ benefit if you’re looking for a partner in the space. Contact us today if you’d like to learn more!

If you've been orbiting the digital marketing world for long, you'll know all about Google's plans to abandon the third-party cookie by 2022. The rules for cookies have already started to change thanks to the California Consumer Privacy Act (CCPA). Visit any website, and you'll get a "do you accept this cookie" pop-up. The fight for privacy and owning your data on the internet is just beginning. But what does it mean for marketers?
First, this only affects third-party cookies. Websites that track abandoned shopping carts or where you have chosen to log in will still be active and working. ( x) Those effective ads that follow you around to remind you to come back and buy? They are here to stay!
Second, even though we're losing access to visitors’ individual data, Google already has a plan in place to target ads effectively. Google created the Federated Learning of Cohorts (FLoC)for this very purpose. The goal of the FLoC is to "provide an effective replacement signal for third-party cookies." ( x) Any Google device or product you use will still file away your internet habits for advertising purposes; it will just be less precise. The idea is to shift people from individuals into broader categories. Those categories are what marketers will be targeting moving forward. If you're looking up how to replace a car battery on YouTube, you'll most likely be shifted into the "repairs vehicles" category and served ads accordingly. If we've learned anything from Facebook's targeting practices, it's that they can get very granular with those categories.
The main takeaway from the loss of the cookie is that marketers everywhere will have to be more strategic about their targeting plans. Utilizing advertising avenues that never relied on cookies is a great place to start. Paid search, emails, and social media are just a few areas of focus that generate clicks and customers while not relying on cookies. Leveraging traditional media alongside digital will also be vital to help grow your audience and brand awareness. As always, you can reach out to our digital marketing team of experts to help you navigate the change.
The cookie might be dead, but personalized digital marketing is still alive and well.







