As a marketer, you know that the digital landscape is always changing. That’s why it’s important to make sure you’re equipped with the right tools every step of the way – no matter how rapidly things change. You want to ensure your strategies and tactics stay ahead of any changes in technology or consumer behavior, so what new marketing strategies should be in your toolbox in 2023?
Discover what industry leaders from Experian, Adweek, FreeWheel, Tubi, and Instacart had to say about what should be in every marketer’s toolbox in 2023 at Cannes.
Keep reading to learn the top four new marketing strategies you need in your marketing toolbox for 2023 and beyond.
1. A plan for signal loss
The first item you should have in your marketing toolbox is a plan for signal loss.
The phasing out of third-party cookies presents both a challenge and an opportunity. This shift not only poses challenges but also opens up opportunities for alternative strategies.
On the one hand, it makes it more difficult to track users across channels and measure the effectiveness of marketing campaigns. On the other hand, it forces marketers to focus on building relationships with their customers and collecting first-party data.
Consumer behavior is changing
When we consider signal loss in a traditional sense, we think of the implementation of iOS 14, where we couldn’t track click-based data from campaigns. It’s important to reflect on the fact that the paid media ecosystem needed to adapt to new consumer realities.
Younger demographics are less likely to click on ads and instead engage in video environments. They discover brands through platforms like TikTok or Instagram. It’s crucial to understand how people behave, where they discover products, and where influence takes place. This understanding becomes even more vital when targeting a young audience demographic.
Four things to consider when planning for signal loss
There are four things you should consider when building out a plan to address signal loss and fragmentation.
Channel diversification
You need to reach your customers on the channels where they are already spending time, such as social media, email, and your own website. You should work with platforms that have first-party data to understand how your customers interact with your brand.
Data privacy
You need to be transparent about how you are collecting and using customer data. You should also anonymize data whenever possible.
First-party data
First-party data is now more crucial than ever, awakening its importance in shaping our actions. The combination of channel diversification and first-party data will be essential in the years to come. By focusing on these two areas, you can build stronger customer relationships and create more effective marketing campaigns.
Contextual targeting
Contextual targeting is emerging as a viable method to deliver more relevant content to your intended audience.
By embracing signal loss, the alternative new marketing strategies that are emerging as a result, and adopting a privacy-centric mindset, you can navigate cookie deprecation.
2. Collaboration
The second item you should have in your marketing toolbox is collaboration within the AdTech ecosystem.
To address signal loss and changes in privacy, moving toward a more collaborative, holistic marketing ecosystem is key.
Two ways we can achieve better collaboration
Here are two ways we can create better collaboration in the AdTech ecosystem.
Enable interoperability
We should aim to create an ecosystem that fosters collaboration between marketers, publishers, advertisers, ad tech companies, and more. When we enable seamless interoperability, everyone can use the best data available.
Use clean rooms
We are witnessing a growing trend of collaboration between parties, where buyers and sellers share data in these secure environments. Clean rooms can help us develop data strategies in a controlled manner.
3. Generative artificial intelligence (AI)
The third tool you should have in your marketing toolbox is generative AI.
Benefits of implementing AI
There are three main benefits to implementing AI within your marketing strategy.
Enables creativity
Although AI and machine learning have long been part of our toolbox, this moment marks an extraordinary acceleration that expands our capabilities. Copywriters can now create visuals, and art directors can write compelling copy. It’s an extension of what we’re capable of, potentially alleviating the burden of repetitive tasks and enabling more time for collaboration, creativity, and strategic thinking.
By embracing generative AI, we can preserve valuable talent, prevent burnout, and invigorate the advertising industry.
Enables more personalization
The rise of personalization with AI has significantly increased the demand for tailored experiences. People now willingly allow AI agents to read their emails, hoping for quicker and easier responses. This shift signifies a change in the previous emphasis on privacy and consumer preferences. Consumers now see the value in exchanging personal information for more targeted services.
E-commerce has already witnessed this transformation with customized ads based on individual preferences and behaviors. For instance, if a CPG brand notices you’re not purchasing meat, they won’t serve you ads for meat products.
However, it’s crucial to strike the right balance between being useful and intrusive. Users want relevant information that aligns with their needs without feeling intruded upon.
As we navigate this path, we must ensure that personalization remains beneficial and respectful of user preferences.
Helps drive impactful results and customer satisfaction
The tool is a perfect analogy for improving your job performance and business operations. Having the right data input to feed the machine is crucial, just like using the right ingredients to cook a perfect meal. Keeping the consumer in mind throughout the process is key. You can ensure customer satisfaction by putting the right ingredients in and allowing the machine to work its magic. Scaling up, repeating, and refining the process will drive impactful results.
4. First-party data
The fourth item you should have in your marketing toolbox is first-party data.
Benefits of implementing a first-party data strategy
Moving from a third-party cookie world to a first-party cookie world brings about significant transformation. Here are two benefits of implementing a first-party data strategy.
Greater accuracy
The shift to first-party cookies ensures greater accuracy, enabling us to establish critical mass through secure partnerships. This empowers us to strengthen and refine our personalization capabilities, much like Amazon’s ability to anticipate customer needs before they arise. When you can predict and understand customer behaviors with remarkable precision, you can reach your customers with tailored and creative ads.
“Building a robust first-party data strategy should be a central discussion for marketers, involving key stakeholders such as CEOs and CMOs. Quality and precise data are paramount, and while first-party relationships with consumers form the foundation, even established brands benefit from strategic partnerships. Together, we can unlock the potential of accurate and meaningful data-driven marketing.”
jeremy hlavacek, cco, experian
Identify high-growth audiences
First-party data can help you identify audiences with the greatest growth potential, ultimately optimizing marketing dollars for greater efficiency.
Watch our Cannes panel for more new marketing strategies for 2023
We hosted a panel with Adweek in Cannes that covered what should be in every marketer’s toolbox this year. Check out the full recording below to hear from leaders at Tubi, Freewheel, Instacart, Adweek, and Experian.
Check out more Cannes content:
- Our key takeaways from Cannes Lions 2023
- Insights from a first-time attendee
- Exploring the opportunities in streaming TV advertising
- The future of identity in cookieless advertising
- Maximize ad targeting with supply-side advertising
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Why an identity framework matters more than any single identifier The challenge facing marketers today isn’t a single identifier on a deprecation timeline. It’s the increasing fragmentation of signals and identifiers across browsers, devices, apps, and platforms. This shift introduces complexity into how audiences are reached and measured, as signals behave differently in every environment, and it becomes more complex to piece together a complete view of the consumer. Each environment contributes to its own set of visibility gaps, making identity less predictable and more uneven. The result is a patchwork of inconsistent identity signals rather than a single, predictable decline. While you can’t control how platforms evolve, you can control how you respond to fragmentation. The future won’t be defined by the loss of any single identifier, but by your ability to unify, interpret, and activate the many signals that remain. Marketers who adopt a flexible, identity framework will be best positioned to create consistency in an otherwise fragmented landscape. At Experian, we believe flexibility starts with intelligence. For decades, we’ve used AI and machine learning to help marketers understand people’s behavior more clearly, respect their privacy, and deliver messages that drive business outcomes. Our technology brings identity, insight, and intelligence together, so even as the number of signals grows and becomes more varied across environments, marketers can reach the right people with relevance, respect, and simplicity. This intelligence acts as the connective tissue across fragmented ecosystems, ensuring marketers can recognize and reach audiences consistently wherever they appear. What forces are driving fragmentation in identity and signals? Changes to traditional IDs: Since Apple introduced ATT, access to IDFA has become inconsistent across apps and devices. Google’s evolving Android privacy roadmap adds another layer of variability, fragmenting mobile addressability. Safari and Firefox have long restricted third-party cookies, while Chrome continues to support them for now. This creates different signal availability across browsers, contributing to an uneven and increasingly fragmented identity landscape on the open web. Shifts in signals: IPv4 to IPv6 migration introduces mismatched identity structures that complicate continuity across environments. Platform-driven fragmentation: Closed ecosystems and uneven adoption of evolving RTB standards (like OpenRTB 2.6 updates designed to support new identifiers and consent signals) create differences in which identifiers and consent signals are shared in the bidstream. At the same time, the rise of alternative or “universal” IDs—often developed by individual platforms, publishers, or technology companies—means that multiple ID types can appear within the same auction, each with its own structure, rules, and level of support. These differences reduce interoperability across platforms and contribute to a more fragmented activation landscape. Each change creates an identity silo. Together, they form an ecosystem defined by fragmentation rather than absence. Without an identity framework, these environments operate as disconnected identity islands. A multi-ID world requires a unified identity framework Alternative IDs play an important role, but they also expand the number of signals marketers must reconcile. Without a consistent identity layer, more IDs often mean more complexity—not more clarity. Common alternative IDs in use today: UID2: The Trade Desk’s UID 2.0, an iteration of their original Unified ID 1.0, which was still reliant on third-party cookies, creates persistent IDs with user-provided email addresses and phone numbers. ID5: This independent identity provider builds an identity infrastructure that powers addressable advertising across channels. It can create an ID based on both deterministic and probabilistic data. Hadron ID: Hadron ID is a unique, interoperable identity system (including first-party, audience-based, contextual, deterministic, and probabilistic) developed by Audigent, now part of Experian, to drive revenue for publishers by making their audience data and inventory actionable for media buyers. Industry reports suggest roughly one-third to two-fifths of open-auction traffic carries alternative IDs, sometimes multiple per request. Among Experian clients, adoption of alternative IDs rose 50% year over year, with a 30% increase in IDs resolved to individuals via our Digital Graph. Identity isn’t disappearing; it’s multiplying. A modern identity framework resolves these identifiers into a single, privacy-safe consumer view.