How Data-Driven Marketing Can Influence Your Ad Designs

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Whether you’re just diving into the world of performance marketing and data-driven ads or you’re looking to refine your existing strategy, we know you’ll walk away with some great takeaways here.

In this post, you can expect to learn about:

• How to properly leverage data in marketing and advertising
• The secret behind data-driven design (and why you need it)
• Tips for getting started and converting your data into actionable insights

Ready? Let’s get into it.

How Do You Leverage Data in Marketing?

In today’s digital advertising landscape, marketers have access to vast amounts of data that can help them create more targeted campaigns and increase their campaigns’ success.

For example, let’s say that a local restaurant decides to run a Facebook ad.

• If they have good insights into their customer demographics and behavior, they could create different versions of the ad that target their most common types of customers, run at priority times, target specific neighborhoods, include relevant keywords, and so on.
• From there, the restaurant could continue to refine, enhance and improve their marketing campaigns based on how they perform, and decide to put more budget into the winning ad sets to maximize results.

Credit: VWO

This is data-driven marketing in a nutshell, specifically on the ad strategy side.

The same approach can be taken on a variety of marketing strategies outside of ad creatives, including email marketing, content marketing, social media and more. But, according to Shanee from Crunchbase, when it comes to data: “You can have too much of a good thing.”

Here’s why:

• There are countless variables that marketers can test, but people can quickly become overwhelmed with data.
• Depending on your resources and capacity, you may not be able to create hundreds of different versions of an ad campaign and run a million tests.
• And sometimes, it’s just not necessary to run a test, or listen to the data!

That’s why one of the most critical facets of data-driven marketing is getting alignment across all key stakeholders on what success looks like for a campaign and how you plan to measure it.

What is Data-Driven Design?

Data-driven design is the process of using data on your audience’s motivations, preferences, and behaviors to inform your creative production—including both quantitative and qualitative customer data that your internal team is tracking. This also includes running tests on your creatives to see what performs best and using this to information to influence your future designs.

For example, if you know that video ads perform better than static graphic ads, you probably want to produce more video ads. If your audience is mainly made up of professional photographers, then you’ll want to use visuals that speak to this persona.

70% of our Ad Designpalooza attendees indicated that when it comes to advertising, data should inform creative “a lot”. However, branding is also an important consideration when designing ads, which means that data can’t totally dictate how the creative should look.

“In my experience, some of the most effective things are kind of the ugliest,” says Shanee. For example, although HTML-based and image-based emails may look better, in reality, simpler emails more often than not outperform the more complex ones – and plain-text emails perform best of all.

But focusing too heavily on performance and data and not enough on brand could also hurt your business if it leads to an inconsistent look and feel across channels.

Ultimately, effective data-driven creative needs to strike a balance between brand and performance. As we mentioned, combining that left brain and right brain!

There’s also the question of innovation.

As an easy rule of thumb, Shanee recommends that:

1. TOFU advertising be very branded and recognizable as people in the awareness stage are ​​just starting to form opinions about your company. “When you get down to decision-making, those opinions should be formed, so it’s more about driving action,” she says.
2. So, your MOFU or BOFU campaigns can be more data-driven and less brand-focused. This can allow for more breathing room when creating targeted ads and campaigns that need to speak to a very specific persona.

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Tips For Getting Started with Marketing Data

If you’re new to data-driven marketing, follow Hakim’s advice and “keep it simple.” It sounds like a very fluffy tip, but it’s a good one.

Data can quickly become overwhelming, and keeping it simple allows for both marketers and designers to have the breathing room to think creatively.

And remember—you likely won’t see drastic changes overnight. “When you’re starting, doing something a little bit better than you did before is very impactful,” he says.

For example, if you’ve just launched your website, Hakim says to break things down into steps:

• Step 1: Focus on simple goals like building brand awareness and getting eyeballs on your key website pages and social channels, which you can measure and analyze by looking at metrics like pageviews, likes, and shares.
• Step 2: Once you get some traffic, you might focus on driving specific conversion actions or getting better quality leads by looking at metrics like click-through rate (CTR), goal completions, and conversion rates.
• Step 3: After driving certain actions, you can start to think about optimizing towards profit by tracking metrics like return on ad spend (ROAS), cost per lead (CPL), cost per acquisition (CPA), and lead to customer conversion rates.

Shanee adds that you should also consider your company type and sales process.

• Do you sell directly to consumers or B2B?
• Do people typically purchase through your website or other channels?

Understanding how you sell and what type of actions you need to drive should directly inform the metrics you track and the data you collect.

How Do I Convert Data to Actionable Insights?

For this question, Shanee has a simple framework.

Here are three scenarios where a Marketing Manager is presenting the same stats to different stakeholders/team members:

Scenario 1: Presenting to the CEO

If you’re presenting data to the CEO of your company, you likely want them to think that you’re spending money efficiently. You also want them to feel confident in your team’s choices and probably increase your marketing budget so you can maximize the impact of your efforts.

From there, consider what numbers (e.g., return on ad spend) or creative examples you could show them that would illustrate that you’re spending efficiently and making strong choices, and show them how much more return you could get if you had more budget.

Scenario 2: Presenting to your marketing team

If you’re presenting data to your team, you might want them to understand more about how you’ve achieved certain results. In this case, you may look at A/B tests, review surprising insights and offer a few key takeaways that would support their work.

Scenario 3: Communicating to your design team

If you’re presenting data to your design team, you would likely want them to understand how certain creative choices can lead to different results. You would also likely want to show them how their efforts impact the overall success of a campaign, to help keep them motivated and engaged in the process.

In this case, you could show them A/B test results and examples of effective campaigns to guide their design process.

“When you’re using these numbers… it’s a way of earning trust, but it’s also a way of educating other people about what is important so the next time they come to you with ideas, those ideas are informed,” says Shanee.

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Data Driven Design: Striking the Right Balance

Data-driven marketing can often feel like a tricky balance between two seemingly competing priorities: creativity and logic.

• Lean too into the creative side, and you can end up with ad campaigns that are beautiful and captivating but don’t drive results.
• Lean too far into the logical side and your company’s brand identity could take a hit. You could also miss out on opportunities to try new things and innovate (versus settling for what has always worked).

The key to striking the right balance often comes down to A) testing and B) honing your intuition as a designer and marketer. Knowing when to use the data to inform creative and when to pull back is not an exact science, but over time you’ll come to learn what works best for your company.

And hey, if you need help on the creative side, we’re here to help. Superside works with brands like Amazon, Facebook and PUMA on their marketing and ad designs, so you’ll be in good hands!