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5 Impressive Examples of Data-Driven Marketing Done Right

If you’re looking for a simple way to streamline your marketing efforts, data-driven marketing might be just the thing for you.

Take a moment and consider these numbers:

  • The key purpose of marketing is to enhance brand awareness. Data-driven marketing can increase this by 50%.
  • Businesses that use data-driven strategies get five to eight times more ROI than those that don’t. No wonder, 40% of brands plan to increase their budget for this!
  • 64% of marketing executives “strongly agree” that data-driven marketing is a must in today’s landscape.

 

For marketers, data is a potent means to solve the most complex problems through a clear understanding of the available information. The more recent this information is, the more qualitative the insights are. 

Think of it as something akin to the revenue recognition principle, which allows businesses to update their income statements as revenue is earned. This helps them get an up-to-date picture of their current financial situation. 

Similarly, data-driven marketing strategies allow marketing teams to gather crucial customer data and glean into their underlying motivations. This gives them a clear and updated picture of what is working in their favor and what needs tweaking.   

Data can be used to anticipate new trends, as well as customers’ buying behaviors. Most importantly, these inferences can be used to design ROI-boosting marketing campaigns. 

All in all, data-driven marketing can help marketers with better decision-making, improve processes, enhance productivity, identify prospects, enable conversions, and run campaigns more effectively. 

5 Examples of Successful Data-Driven Marketing

The following brands have successfully harnessed data-driven marketing and proven that when done right, it can do wonders.

Let’s learn more.

1.       Spotify

That Spotify has been using data-driven marketing techniques for a while now is no secret. It’s a prime example of how technologies like Artificial Intelligence can enhance customer experiences while driving entire marketing campaigns. We’re talking about Spotify Wrapped, which was first released in December 2016.

When the year 2023 drew to a close, Spotify decided to surprise its users by sharing some interesting insights it had gathered based on the listener’s musical choices over the year. This included their most heard songs, artists, genres, and the minutes of music they listened to.

As a part of the campaign, Spotify went a step ahead-it took all of this data and developed personalized content for every user. What’s more? Listeners could share this on their social media platforms as stories with eye-catching visuals in the right format, which added a fun element and made quite an impact.

It was this combination of data with social media that made this campaign a huge hit. Spotify’s revenue soared thanks to the increased user engagement among its existing users. It also helped the company attract a huge number of new subscribers. What more could a brand ask for!

2.       OkCupid

OkCupid is a brilliant example of a brand that uses data to create intriguing content. As a leading dating site, it has been forthcoming about gathering demographic data from its users. Consequently, it regularly posts insightful content on its blog, which attracts a lot of attention, even from non-users.

In a recent post, OkCupid used its survey data to gauge what its target audience (Gen Z and Millennial singles) consider when they choose a partner. Voting was identified as a significant turn-on for this demographic. OkCupid wasted no time in tailoring its marketing messages to shine a light on this aspect. 

This is an excellent example of leveraging internal data to create content that suits the interests of your target audience. After all, brands only stand to gain by connecting with their users on a deeper level while increasing engagement on their platform!

3.       DirecTV and USPS

Customers’ demographic details are key to delivering a campaign with a more focused marketing message, thereby driving higher ROI. DirecTV knew this all too well! It used data to not only connect with new customers but also expand its current user base.

The company used various data points to identify which specific market they needed to target. It was the people who had moved homes recently. DirecTV also discovered that when people move to a new neighborhood, they try out new services around their surroundings, possibly switching providers.

 It used data from USPS to identify people who had recently applied for a change of address. With this information, DirecTV created a personalized version of its homepage, specifically tailored to these visitors.

It worked! The personalized data-driven homepage outperformed the previous version even though the latter offered an additional $300 gift card. That says everything! 

4.       Abreva

Abreva is a cold-sore medication company that typically advertised to audiences over 35 years and older through TV. However, from the data they gathered, they found out that most people get their first cold sore in their teenage years. This crucial insight meant Abreva needed to revamp its marketing strategy going forward.

The company now wanted to reach a younger audience base with its product. But it knew that teenagers usually watched less TV than its usual target audience. As a result, Abreva moved its attention from TV to YouTube

Abreva understood that teenagers may not be comfortable talking about cold sores. The brand knew it’d have to create educational and marketing videos to address its new target audience’s concerns. It leveraged machine learning to reach its target audience with 119 versions of one base ad while customizing the copy to match what the viewer was watching.

The result? The campaign helped increase the overall brand recall by 41% and witnessed a 342% surge in search interest among its target audience on YouTube and Google. Enough said!

5.       Very.co.uk

UK-based website, Very is a shining example of a brand that leveraged data-driven marketing to delight its customers. It used geolocation weather data to customize the homepage for its clothing store.

What’s geolocation? It refers to identifying where a customer is using your website. It essentially captures your GPS data to understand your location and present information in the right language, convert prices into the right currency, and so on.

Very played smart with the geolocation data from its customers. As a clothing store, it used this data to figure out the current climate at their location. It would then proceed to customize the homepage accordingly.

For example, when the weather turned cold, it would ask visitors to “wrap up out there” and present links to the latest winter wear available in the store. If it got hot, it would present links to light summer clothing. You get the drift, right?

Overall, this campaign is well-known for enabling Very to truly connect with its target audience and make them feel cared for.

Wrapping Up

There’s no doubt that data-driven marketing is a game-changer for marketers and business owners. It is best leveraged when combined with the right technology. The result is creative, powerful campaigns that connect companies with their audience in the most meaningful ways. Hopefully, the examples presented in this post will inspire you to adopt this approach for your campaigns. It’s never a bad idea to ethically harness data and use it to create marketing campaigns that can revolutionize the way customers perceive your brand. Good luck!

By James Ewen

James is the head of marketing at Tamoco