Why Better Data Interpretation Improves Digital Marketing
This article was published on May 15, 2026
Categorized in: Digital Marketing
It’s true that our digital marketing efforts are made stronger by the data we are able to collect and analyze. Sure, some of marketing runs on instinct. However, these instincts can only take us so far. We need the data to validate our instincts, to help us make decisions that will lead us to the right strategies that will help us achieve our business outcomes.
Much is spoken about how we need better data. However, this isn’t the case. The data is there. What is often missing is the data is interpreted. We need to know which data we really need, and we need to find ways to better interpret it to help our marketing efforts.
Prioritize the Right Metrics
Yes, the data is there for us to use. However, data gets generated constantly, and there’s a lot more data out there than we realistically need to help enhance our marketing efforts. This is one of the biggest challenges marketers face, but this can be easily handled by understanding what metrics really need to be examined. Many latch onto vanity metrics that make marketing efforts look impressive, like impressions on social media, but these are metrics that don’t actually say anything.
Understanding which metrics to prioritize can vastly change the interpretation for the better. Metrics should be tied to business outcomes, and this will be easy if the digital marketing strategy was developed with them in mind. Metrics to consider include leads, conversions, revenue influenced by marketing, and more. These are metrics that align with business outcomes, which is one of the most important functions marketing has on the organization.
Better data interpretation helps businesses focus on the metrics that align with actual business outcomes. Instead of getting distracted by vanity metrics, marketers can identify which numbers truly reflect progress and long-term growth.
Better Data Creates Improved Digital Marketing Strategies
Many organizations create an initial marketing strategy and then work on implementing it, sometimes for years. However, the initial marketing strategy was never meant to be the final strategy to follow. In an ideal world, the strategy will be honed and refined over time in order to improve performance.
This is where better data interpretation comes in, and knowing you might need the data to help you change the marketing strategy for the better might even help you select better metrics. This is where better interpretation comes in handy. Once the quality of the data improves, you can use it for a variety of important functions, such as making vital changes to the marketing strategy over time.
For example, demographics data can help you better select the types of content you create for your audience, as well as the frequency at which you create this content. You may not understand these nuances when you first create your strategy. These are the details that can get refined over time with better information.
Digital marketing will continue to generate more data as platforms evolve. The businesses that succeed will not necessarily be the ones with the most information, but the ones that know how to interpret that information in a meaningful and strategic way. This makes a strong case for understanding which data we truly need to interpret as marketers to help us with our strategic efforts.
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About the Author: Brick Marketing President, Nick Stamoulis
Nick Stamoulis is President of Brick Marketing and has over 25 years of digital marketing experience. He works directly with clients on strategy and implementation, helping solve complex marketing, lead generation, and sales challenges. He is a strategist with expertise in SEO, AI SEO (GEO) and Answer Engine Optimization (AEO), content marketing, social media, pay per click advertising, and conversion improvement. In addition to marketing consulting, he provides expert level marketing leadership, working closely with organizations to drive strategy, execution, and performance as a fractional CMO.
