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[AUTOMOTIVE REPORT] Understanding Buyers. Understanding Bias.
The ultimate aim of digital ad campaigns for any online brand is to serve each unique user with products that they will want to buy or ads that effectively raise the brand’s awareness. The better targeted the ads, the more likely the user is to interact with them.
When setting up ad campaigns, many companies have relied on targeting tools such as their pre-existing assumptions about their customers in order to create target groups for advertising messages. Of course, businesses know an awful lot about who buys their products, and these targeting tools and data are useful. However, making strong assumptions can also lead to bias, which can eliminate valuable potential customers from the campaign.
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How Brands Can Leverage MarTech Advances to Kick off 2023 with a Sales Bump
As a new year dawns, many of us are looking toward 2023 with trepidation. A potent cocktail of skyrocketing inflation, a looming recession, and general global instability has created a difficult environment for companies in almost every industry. However, things aren’t as bad as they seem, and if companies can take advantage of the evolving MarTech trends, they can thrive despite the adversity.
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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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5 Reasons to Focus on Contextual Targeting in Advertising
Looking for some solutions that will improve the effectiveness of your online ads? Leveraging advanced targeting in advertising is one of the first things you need to consider — it allows marketers to reach the right customers, namely those who are interested in your company’s offer. This way you can improve their efficiency and reduce the costs of your marketing campaigns at the same time.
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Understanding the Next Leap Forward in Marketing Technology: Deep Learning
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.
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What Is Contextual Targeting and How to Get the Most out of It?
Contextual targeting might not be a new, flashy approach, but with the shift towards privacy-friendly cookieless advertising, it’s about to become a crucial part of every advertiser’s outreach strategy. As Google retires third-party cookies, old methods of targeting will become ineffective, and the ability to target interested users through more subtle markets, like content context, will be one of the keys to marketing success.
Let’s learn more about contextual targeting, look at some contextual advertising examples, and learn how you can deploy it in your campaigns.
Contextual Targeting
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