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The Top 20 Deep Learning Applications You Need to Know
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.
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The Top 6 Killer Retargeting Ad Examples
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.
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Should I Be Using Multiple Retargeting Providers?
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.
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Winning Loyalty Across Generations: Mastering Personalized Marketing
Personalized marketing is about understanding the motivations and tendencies of individuals and then meeting their preferences in design, social engagement, marketing, sales channels, delivery methods, and after-sales care. Ads are, of course, one critical element of this whole, so we’re taking a look at different aged customers to show how you can deliver “a smarter dress code” for online fashion campaigns across the generation gap.
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Head-to-Head Testing vs. Incrementality Testing—Which Is Best?
Many of the world’s biggest brands choose to deploy a multiple retargeting strategy (using more than one retargeting vendor in combination) because it delivers a host of benefits like larger audiences, more efficient advertising, and a higher return on ad spend. Despite the advantages, or maybe because of them, it can be tempting for organizations to wonder exactly how much value, in isolation, each provider brings.
But is a straight comparison, as seen with head-to-head testing, a strategically sound approach, or should brands be focusing on the wider picture of true added value? Let’s investigate.
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Is Brand Safety in Digital Advertising in Danger without Cookies?
The scope of Brand Safety in digital advertising is broad and might be different for each brand. Find out how you should protect your brand against appearing next to undesirable content.