Retargeting

Retargeting is a marketing tactic that lets brands show ads to potential customers who visited a website but left without buying. By reconnecting with people who have already shown interest in a product or service, retargeting helps businesses encourage shoppers to finalize sales and lift return on ad spend. Consider this your guide to retargeting. It covers how the tactic works, the main types of campaigns, and how Deep Learning provides a clear advantage in personalization.

Ask ten marketers whether you should run two retargeting vendors simultaneously and you'll get ten different answers. We think the data settles it—but we'll let you decide.

Core takeaway

Multiple retargeting means running two or more retargeting vendors simultaneously against the same pool of site visitors. Because each vendor uses different algorithms to evaluate user intent, they identify different high-value opportunities within the same audience. The result: more conversions, without proportionally increasing your budget. The biggest objections—overlap, bid inflation, added complexity—don't hold up under scrutiny. The data consistently favors a stack approach.

Online purchases now account for approximately 20% of all fashion sales, and potential customers can engage with your brand across multiple channels. This constant communication has transformed the way fashion ads are delivered to customers and greatly expanded the potential for personalization.

From the printing press to Deep Learning, the history of marketing shadows all our great leaps forward in communications technology. It is the marketer’s job to identify how these novel technologies can be used to reach potential customers, and educate them about products and services that enrich their lives.

The printing press let us create posters, radio and television enabled us to speak to people in their homes, and the internet gave us new ways to sell to people. Today, we’d like to take a moment to dive into how marketers can take advantage of the next big leap forward in technology: Deep Learning.

When many of us think of retargeting, our minds jump immediately to simple banner ads showing off the exact products that have been on our minds—but retargeting is so much more than that. With the right data and technology, we can use retargeting to connect with very specific types of users, or to achieve sophisticated goals. To understand why, let’s take a look at some retargeting ad examples and what they tell us about retargeting in general.

When we think about data in the modern world, our thoughts often land upon the famous line from the Rhyme of the Ancient Mariner, “Water, water, everywhere, but not a drop to drink.” Just as ancient sailors could be surrounded by undrinkable ocean water, today we’re drowning in so much data that it can become impossible to leverage its power. Well, it’s impossible without the right tools in any case. As the amount of data we collect has grown, we’ve developed tools that can help us analyze this information and turn it into something useful. The most powerful of these tools is undoubtedly Deep Learning. To understand why, let’s take a look at some of the top Deep Learning applications.