In a world where we are flooded with advertisements and sponsored content every moment of every day, how can you make your ad stand out from the rest? What is going to make a consumer buy your product vs. your competitor’s product if they have the same features and are selling for the same price? Sure, vibrant colors, strong call-to-actions and unique imagery can help, but in order to get the right users to engage with your content and actually convert, you have to go a step – or a few steps – further. The key to marketing success in 2020 is personalization.
In many ways, marketers already know the benefits of personalized ads. For example, we know that digital retargeting ads drive more conversions and have a stronger conversion rate than prospecting ads, merely because retargeting ads are tailored to reach users who have already visited your site. Retargeting ads are more personalized than prospecting ads in nature – we know someone visited the site and expressed interest but didn’t convert, so we use that information to create a new ad with different messaging and a stronger CTA to entice that user to convert. That’s personalized marketing, in its simplest form.
In 2020, personalization is not only growing, but if you don’t take advantage of personalized marketing, your digital ad campaign might fail. Studies show that people are 80 percent more likely to buy something when a brand makes the experience personal. With access to sophisticated technologies such as AI machine learning at our fingertips, marketers are equipped with the tools necessary to tailor ads to personal attributes and behaviors, at scale.
As Martech Advisor states, “AI personalization refers to the categorization of different customer data sets and extracting valuable insights from them. These insights are fed into an automation engine that can take action without human intervention.” In other words, AI machine learning scans a user’s online behavior to understand what type of messaging would resonate best with that end-user. Have you ever visited your Amazon Prime home page to discover several new products that Amazon is recommending for you, that you’ve never seen before? This is AI-based personalization. Amazon’s AI scanned your past user and purchase behavior and introduced you to new products, customizing your home page to match your personal attributes. You’ve likely experienced something similar on music streaming apps – Spotify recommends a playlist for you based on the songs you’re listening to at that point in time.
So – how can you take advantage of personalized marketing? Here are 3 ways you can start to leverage consumer data to customize (& personalize!) your advertising:
- Dynamic Ads – Perhaps the most daunting reason why marketers don’t take advantage of personalized advertising is the assumption that ad creative and targeting processes are manual; however, AI has completely changed the game. Through AI, digital ads can now be dynamically created based on user behavior. We touched on retargeting earlier, but with AI learnings, retargeting efforts have become far more sophisticated. If a user visits a specific white paper or product on your site but does not download or buy, AI can generate an ad for that specific white paper or product and place it in front of that user with tailored messaging. Best of all? This entire process is automated. Gone are the days where your creative team is buried in producing 50 ads in 7 different ad sizes.
- Invest in AI tools for your website – Tools such as AI-powered chatbots or AI engines can shed light on how you can personalize ad campaigns. Chatbots allow users to share data that might not be readily available through other form submissions on the site. The information users provide in a chat is then scanned through AI, producing key insights for marketers to use when forming ad campaigns. For example, if the same pain points or topics continue to surface through chatbots, you might have an idea for your next personalized go-to-market campaign.
- Tailor your campaigns based on audience segments – This sounds simple enough, but more times than not, marketers target all audiences segments under one campaign, rather than breaking up campaigns based on audience segments. For example, you want to target users who play basketball, soccer, football and tennis. You place all of these audience segments under one campaign and serve the same ad and ad copy to each user. Sure, these are similar audience segments in that they are all sports-related; however, a user who plays basketball will likely ‘look’ different than a user who plays tennis. Instead of serving the same ad and ad copy to all users, why not tailor your messaging to each specific audience segment? The more personalized you can get the ad and ad copy level, the more likely your ad will resonate with the end-user and lead to a conversion. Of course, a campaign structure like this that used to be manual has become nearly automated through DSPs and Paid Social platforms that provide ways to streamline this process, freeing up your time and eliminating human error.
In 2020, we challenge marketers to take a step back from the generic go-to-market campaigns and to get personal! How will you use AI-based personalization and machine learning to enhance your digital ad campaigns? Learn how Bluetext has used personalized marketing for our clients’ campaigns, effectively reaching the right audience with tailored, custom creative, via our website.