Marketing Analytics Trends for 2024

Jente De Ridder
The Marketing Analyst
5 min readJan 5, 2024

As we delve into 2024, the realm of digital marketing analytics continues to undergo rapid and transformative changes. This year promises exciting advancements, from the evolving technological landscape to a heightened focus on ethical data practices. In this post, I’ll reflect on the topics that will (or should) dominate our practice in the coming months.

A woman looking into a crystel ball filled with graphs and data visualisations.

AI integration in MarTech

2023 was a significant ‘wake-up’ call for every marketer: it became increasingly evident how profoundly generative AI can impact our work. We’ve observed initial attempts by MarTech vendors to integrate Chat GPT-like algorithms into their products. However, these early integrations often lacked the sophistication needed to fully automate the tasks typically handled by a marketing data analyst.

Looking forward to 2024, we anticipate witnessing the first substantial applications of AI in MarTech solutions. From a data perspective, this could include advancements like enhanced customer segmentation, making sophisticated segmentation logic accessible to a broader audience, or automated insights that highlight new trends, correlations, and anomalies within datasets.

From a broader MarTech standpoint, there’s potential for a resurgence of ‘integrated marketing clouds’. The concept of a central AI agent working across various marketing tools could significantly amplify the value of these clouds. Adobe’s pipeline projects with generative AI, as seen here Adobe Sensei GenAI, are prime examples of this trend.

But what does this mean for the role of the marketing data analyst? Is it the beginning of the end? I believe not. The essence of data analysis is shifting away from merely identifying anomalies or trends in datasets. Instead, it’s evolving towards understanding the business context and translating these data points into actionable business decisions. AI will expedite the obsolescence of roles centered on mere report generation. Such roles, arguably, have been outdated for some time. The future of data analytics lies in its strategic application, where human insight and AI-driven efficiency converge.

Data quality

While it may not be the newest or most glamorous topic, the importance of high-quality data in 2024 cannot be overstated. In an era where machine learning algorithms are becoming increasingly central to our analytical processes, the need for precise, well-structured data is more critical than ever. These algorithms are only as effective as the data they process; hence, ‘garbage in, garbage out’ remains a fundamental truth.

High-quality data is the linchpin in ensuring that machine learning models function accurately, efficiently and even ethically (but more about that under the next topic). Without it, even the most advanced algorithms can produce misleading insights, leading to erroneous business decisions. In 2024, as we lean more on AI and machine learning for predictive analytics, customer segmentation, and (real-time) decision making, the focus must be on feeding these systems with reliable, clean, and well-curated data.

Ethics & compliance

Again, not a new or particularly exciting topic but the importance of ethics and compliance in the realm of marketing analytics is set to gain even more prominence in the coming year. As the privacy topic results in both technical and regulatory pressure for organisations to deliver change.

Let’s start with the technical challenges: the phasing out of third-party cookies (and other tracking prevention mechanisms enforced by browsers) marks a critical juncture, prompting us to re-evaluate our data-sharing practices. Before, third party cookies enabled AdTech giants to build targetting profiles based on the behavioural and transactional data we shared with them. Now, those AdTech vendors are pushing organisations to alternative ways of sharing data (conversion API’s, custom audiences, etc.). This is a moment to ask ourselves: Are these practices truly beneficial for our organisation and, more importantly, for our customers? And if so, what amount of data are we willing to share?

The regulatory challenge lies in both new laws and acts being introduced in the coming year ( for example: EU AI Act) and a more strict enforcement of the existing privacy regulations. For example: in Belgium the Data Protection Authority (DPA) has announced that one of their focus topics for 2024 will be cookie compliancy. So, much more penalties linked to wrongfull tracking implementations can be expected.

As we move forward, it’s clear that navigating the balance between effective marketing and respecting consumer privacy will continue to be a critical challenge. In 2024, successful marketing strategies will not only comply with these evolving standards but will also embrace them as a cornerstone of customer-centric business practices.

Putting first-party data to use

In recent years, the focus on first-party data has intensified, driven by the privacy regulations mentioned above and the gradual obsolescence of third-party cookies. Consequently, most organizations have heavily invested in customer data platforms (CDPs) and similar technologies to collect first-party data.

However, the real challenge and opportunity in 2024 lie not just in data collection but in its application. Organizations must now pivot to asking, ‘How can we creatively and effectively use this wealth of first-party data?’ With third-party data becoming increasingly scarce, there is a pressing need to leverage first-party data for targeted advertising campaigns, personalized user experiences, and acquiring new, valuable customers.

A significant challenge in this realm is the activation of these first-party data audiences across paid channels like publishers, advertising networks, and social media platforms. Herein lies the potential of what I predict will be the MarTech buzzword of 2024: ‘Data Clean Rooms.’ These are innovative solutions that enable secure information sharing between parties without compromising individual data privacy. As a burgeoning field of innovation, data clean rooms promise a new way for businesses to collaborate and share insights, mitigating the traditional risks associated with data sharing.

Data Clean Rooms (DCR) will replace Customer Data Platforms (CDP) as the MarTech acronym of 2024.

Closing thoughts

As I conclude this foresight into 2024, I’m reminded that our context in marketing analytics is ever-evolving, presenting us with new challenges at every turn. Yet, the core competencies of a skilled marketing analyst remain constant: steering organizations towards tangible business value, relying on high-quality data, and upholding ethical standards in data collection and application. The key lies in our ability to adapt — to embrace new circumstances and technologies with agility.

So, here’s to 2024 — a year poised for groundbreaking innovation, heightened ownership, and increased responsibility. And, with a bit of luck, we might just see the dawn of a world with fewer report monkeys!

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Jente De Ridder
The Marketing Analyst

Digital data analyst aiming to make impact through insights. Interested in Digital Analytics, Consumer Psychology and Change Management. Founder of Stitchd.