When it comes to advertising, change is the only constant. From technological advancements to regulatory changes, the industry has undergone consistent and significant transformation in recent years —  and consumer preferences have followed suit.

For brands, meeting both consumer and business expectations has become an ongoing process of navigating challenges and seizing opportunities. For instance, personalised advertising has now become the standard, offering a potent means for brands to distinguish themselves in a competitive market. 

However, with the emergence of new privacy-centric attribution and measurement frameworks, marketers are now faced with a new challenge. While tools such as Google’s Privacy Sandbox on Android, Apple’s App Tracking Transparency, and SKAdNetwork enhance user privacy and data protection, they also limit the tracking of user activity across apps.

Hence, marketers are compelled to find new ways to personalise and optimise their campaigns that meet both customer expectations and industry standards. 

Luckily for brands, the advancements driving these changes are also unlocking new innovations, efficiencies, and analysis capabilities – enabling brands to optimise their campaigns, resonate with their customers and make more informed decisions. 

Evolving with the industry is key 

To navigate both challenges and opportunities as the industry evolves, brands can benefit from not only exploring new approaches but also expanding on current ones. This includes embracing new technologies and strategies that allow them to reach and engage their target audiences effectively while staying on top of current marketing trends. 

Also Read: 5 common challenges marketing professionals face today

Consider these three core focuses:

• Diversify your channel mix: As consumer preferences and behaviours evolve, it’s crucial for brands to meet their customers where they are. New performance channels like connected TV (CTV) and PC & Console, for example, are seeing rapid adoption. As a result, ad formats on these mediums are also growing in popularity and viewership. 

But to successfully add new channels to the mix, brands need to first measure, analyse and understand what type of messaging and creative format work for their unique audiences at various stages across the funnel. Armed with this information, brands will have the ability to not only fine-tune their strategies but continuously optimise them all the way from brand awareness to conversion and retention.

• Leverage the right data: Despite ongoing concerns around data privacy, personalisation remains a game-changing competitive differentiator. With the ever-increasing usage of digital platforms, marketers have the opportunity to tap into the power of data analytics and insights to tailor their advertising messages and campaigns to specific demographics. 

When it comes to aggregated data analysis, media mix modelling (MMM) and incrementality are two approaches that are leading the next generation of marketing measurement. MMM enables marketers to examine a wide range of marketing channels—from digital to traditional, alongside external influences like promotions, seasonality, press coverage, and more—to determine the impact they have on return on investment (ROI) and predict future campaign success.

Meanwhile, incrementality hones in on the impact of a singular campaign. It isolates the results from organic traffic to help marketers uncover the incremental cost of each conversion (app install) and scale that channel accordingly. 

• Incorporate innovative technologies: Technology today has the potential to improve and optimise virtually every step of the marketing process. AI technologies, in particular, are enabling marketers to know more and do more with less, opening efficiencies and potential for growth. 

Predictive analytics, for example, help by offering actionable insights into user behaviour, enabling faster-than-ever or even automated optimisations. AI-powered sentiment analysis can help gauge customer sentiment, aiding in refining strategies, while Generative AI can help craft compelling visuals and narratives without large in-house teams or high agency costs. 

Also Read: Decoding the shift: The new era of B2B marketing

Navigating privacy challenges with AI 

Looking ahead, brands have the opportunity to further increase their agility by harnessing the full suite of AI capabilities available today. In particular, AI’s ability to analyse large datasets and uncover valuable insights about consumer behaviour, preferences and market trends is increasingly crucial to informing strategic decision-making — as well as navigating challenges like privacy. 

For mobile marketers, limited visibility over user-level data can make attribution and tracking user behaviour on an app challenging. But with the help of AI algorithms, marketers now have the ability to analyse user behaviour, engagement patterns and conversion data to identify the best-performing ad creatives and placements. As a result, they can allocate their budgets more efficiently, improving return on ad spend (ROAS) and overall marketing efficiency —  all without the use of user-level data.

Generative AI also has the ability to improve personalisation and relevancy by analysing aggregated data. It can create highly useful messages for various customer cohorts, tailoring offers and recommendations to their preferences and behaviours at an optimal point in the user journey.

AI’s potential to help safeguard user privacy while heralding a new era of precise, data-driven campaigns is a powerful example of new opportunities in advertising. By harnessing new technology and applying industry expertise, brands have the opportunity to not only evolve but reap the benefits of their advancements by staying ahead of the curve.

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