First-party data is becoming central to business processes and protecting user privacy is becoming increasingly important for companies. As third-party cookies are being phased out opportunities for targeting users are diminishing, creating new challenges for companies. They must balance the demands for personalized content with the growing need for data protection and data privacy.

Accelerated digitalisation is increasingly forcing retailers to rethink the way they interact with consumers. Technologies like artificial intelligence, virtual reality, DOOH, and AI assistants are fundamentally transforming the retail industry and, above all, redefining how brands engage with customers. The “phygital” phenomenon, combining ‘physical’ and ‘digital’ has gained popularity in recent years. This strategy harnesses synergy and integrates physical stores with digital channels, leading to a seamless and engaging consumer experience.

In today’s digital landscape, marketing strategies are evolving rapidly, with micro-segmentation and micro-targeting becoming essential for reaching new generations. The differences between Millennials, Gen Z and Gen Y present challenges, as each generation requires a different way of communicating and tailored marketing strategies. This blog post will explore why understanding these nuances is essential for success in modern marketing.

Digital advertising is fundamentally changing, making first-party data more important than ever. With the phasing out of third-party data used for targeting and buying ad space across digital media properties and the increased recognition of the value of first-party data, retailers are acutely aware of its potential.

In this post, I will briefly explain what first-party data is, its importance for retailers, how they can leverage it and why it plays a key role in building retail media networks or similar company-owned media networks that can be used to market ad space to its partners and customers.

Independent ad-tech solutions are crucial for designing digital advertising strategies that respect users’ privacy while allowing effective targeting and measuring the effectiveness of ad campaigns. These solutions help businesses navigate the complex landscape of digital advertising, while ensuring compliance with legislation and user expectations. In my previous blog post, I explained why first-party data is becoming more valuable and the role of data management platforms in the construction of private data warehouses by using iPROM Private DMP as an example. In this post, I will focus on how private data warehouses can be activated for more effective and personalised digital advertising in editorial media.

Growing privacy concerns are challenging consumer trust in digital advertising, while e-privacy and data management regulations are becoming increasingly stringent. Companies are looking for new ways to cultivate customer relationships based on transparency and respect for user and regulatory privacy.
The concept of ‘privacy-first’ has become necessary due to consumer expectations and regulatory frameworks. iPROM is a key player in this new era of advertising, focusing on independent advertising solutions that protect the privacy of online users.

Programmatic advertising has experienced substantial growth in recent years. According to Statista, the global programmatic advertising market was worth $558 billion in 2023, marking an 11% increase in investment in programmatic digital advertising compared to the previous year. This growth reflects the evolving digital landscape and advertisers’ increasing trust in programmatic platforms. It highlights the maturity of the sector and the significant role it will play in the future of digital advertising. Below are the key programmatic advertising trends that I predict will shape the current year.

In a digital advertising world dominated by fast turnaround and flexibility, it is often difficult to advocate for continuous investment in digital advertising. However, analytical data contradicts this notion. Brands that continue to invest at the top of the sales funnel over several months achieve better performance and ROI compared to those that stop after just three months.

In the digital advertising ecosystem, effective targeting is crucial for the success of campaigns. The shift to first-party data and advanced AI technologies has revolutionised digital media buying. One of the highlighted approaches is lookalike modelling, or modelling based on shared characteristics using AI. This approach allows brands to target their advertising campaigns more precisely to the right audiences with a much higher likelihood of liking a brand. In this blog post, I will explain how digital media buying is done using first-party data and lookalike modelling using AI and show a practical example.

In the digital age, where competition is just a click away, brands face constant pressure to stay one step ahead of the competition. Advertising technology, first-party data and artificial intelligence (AI) are at the heart of this evolution and play a key role in shaping the future of advertising and media buying. Brands that ignore these technological breakthroughs risk finding themselves in a precarious position, unable to compete in a rapidly evolving digital environment.