Contextual ad targeting paves the way for new opportunities
Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?
In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:
- The challenges causing marketers to rethink their current strategies
- How contextual advertising addresses signal loss
- Why addressability is more important than ever
- Why good creative is still integral in digital marketing
- Tips for digital ad success
By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.
Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!
Macro impacts affecting marketers
How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?
Jason: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.
Alex: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now!
Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.
Contextual ad targeting: A solution for signal loss
How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?
Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.
As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.
Alex: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:
- The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
- There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
- We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.
Addressability: Connect your campaigns to consumers
How does advanced contextual targeting help marketers reach non-addressable audiences?
Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.
One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.
Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.
Alex: Jason, you described that perfectly. I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.
It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.
Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.
It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.
Turn great creative into measurable data points
Why does good creative still play an integral part in digital advertising success?
Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. Good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.
Alex: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.
Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.
Our recommendations for marketers for 2023 and beyond
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason: Be proactive and start testing and learning these new solutions. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.
Alex: Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.
Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.
We can help you get started with contextual ad targeting
Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.
Find the right marketing mix in 2023
Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:
- New data on the complexity and uncertainty facing marketers
- Consumer trends for 2023
- Recommendations on finding the right channel mix and the right consumers
Get in touch
About our experts
Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.
Alex Johnston, Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.Yieldmo.com.
Latest posts
With the impending deprecation of third-party cookies, marketers find themselves at the crossroads of innovation and adaptation. As we bid farewell to this identifier, the emphasis shifts to forging deeper connections, understanding customer needs, and navigating the marketing landscape with data-driven precision. At Experian, we stand as your trusted partner, committed to guiding you through this transition. In this blog post, we'll explore: How third-party cookie deprecation is impacting digital advertising Six alternatives to third-party cookies and where they fall short How Experian can help you navigate a cookieless world Four ways third-party cookie deprecation is impacting digital advertising Third-party cookie deprecation is causing significant challenges within the AdTech industry, manifesting in four key areas: Reach: Advertisers and demand-side platforms (DSPs) will face difficulties in reaching their target customers due to the absence of third-party cookies. Understanding audiences: Advertisers will find it challenging to understand the demographics and behaviors of their customer base without third-party cookies. Similarly, publishers are struggling to identify their audiences accurately, resulting in less addressable and appealing inventory. Measurement: Measurement providers may encounter obstacles in accurately assessing the effectiveness of advertising campaigns. Additionally, DSPs are finding it hard to measure the impact of their ads without the assistance of third-party cookies. Matching: Data providers may experience challenges in matching users with the appropriate audience segments, leading to difficulties in delivering targeted advertising. Six alternatives to third-party cookies As the deadline approaches for Google's removal of third-party cookies from Chrome by the end of 2024, marketers are scrambling to discover alternative methods for delivering effective advertising. Fortunately, various alternatives are emerging. However, the abundance of options can create confusion rather than clarity. Which alternatives are worth considering? Here are six compelling alternatives to third-party cookies: 1. First-party data Acquiring consented first-party data directly from users is becoming increasingly vital as it can lay the groundwork for more precise targeting. 2. Universal IDs Alternative identifiers like The Trade Desk's UID2 and ID5’s Universal ID are becoming increasingly important, offering the ability to maintain a comprehensive consumer view across channels and platforms, leading to enhanced personalization and addressability across various channels, even in cookieless environments. 3. Identity graphs As browser-based IDs shift and digital signals decline, the need for an identity graph grows, with companies adopting a "graph-of-graph" strategy by combining their own robust first-party data with licensed identity graphs, as highlighted in recent announcements by industry giants such as Disney, VideoAmp, and Magnite. 4. Contextual targeting Contextual targeting aligns publisher content with relevant ads, ensuring ad delivery based on content rather than individual identifiers. This privacy-respecting approach is less dependent on third-party cookies, providing effective audience activation. 5. Data collaboration In a cookieless world, it becomes more difficult for companies to "communicate" with one another. We expect to see more pick up of data collaboration in the market, using addressable IDs and identity resolution to power connectivity between partners and their data sets. 6. Google Privacy Sandbox The primary goal of Google’s Privacy Sandbox is to continue to deliver valuable consumer information that yields relevant marketing and media strategies, while protecting a user’s privacy. How these alternatives to cookies fall short While it's promising to see numerous alternatives to cookies emerging, it's essential to recognize that each alternative has its limitations and is not a perfect one-to-one replacement for third-party cookies. Let’s review the shortcomings of these alternatives, and then we’ll walk through how Experian can help you navigate these alternatives to cookies. 1. First-party data First-party data, which is data directly collected from your users with their consent, is highly valuable. However, you will likely face limitations in terms of the number of consumers in your database, the identifiers linking them, and the insights into their demographics and behaviors. To overcome these limitations, it's essential to expand both the quantity and quality of your first-party data. 2. Universal IDs Universal identifiers are valuable for tracking users across different devices and websites. However, no single universal identifier has enough reach to fully replace third-party cookies. Universal IDs are most effective in terms of scaling, when they are combined with other universal identifiers or alternative addressable identifiers. 3. Identity graph Identity graphs excel at connecting digital audiences. However, establishing an identity graph from scratch is a significant accomplishment, demanding expertise, financial resources, and more. 4. Contextual targeting Contextual targeting and advertising aim to place your ads next to relevant content. However, there's a risk that your ads might appear alongside misaligned content, reaching audiences who are uninterested or unintended. 5. Data collaboration Data collaboration is beneficial for enhancing your consumer data and informing your strategies. However, it can introduce potential data security risks, if not done in the right framework, and may lead to subpar matching results due to issues like data hygiene or discrepancies in identifiers. 6. Google Privacy Sandbox Google’s Privacy Sandbox aims to balance effective advertising with consumer privacy and data security. However, it lacks transparency and has yet to prove its effectiveness, raising concerns about whether it meets industry standards. How Experian can help you navigate a cookieless world As an industry innovator and leader in data and identity, we've developed solutions to address the challenges posed by the shift away from third-party cookies. Our products are designed to adapt to these changes and ensure your success. We've anticipated industry shifts and proactively prepared our offerings to support you through this transition. Below we outline how our products are ready to support you through the transition away from third-party cookies. Graph The Experian Graph facilitates connectivity without relying on cookies. Our Graph helps ensure connectivity by supporting a variety of addressable identifiers, not limited to but including universal IDs, like Unified ID 2.0 (UID2) and ID5's universal ID. Whether you have first-party data or not, our Graph can be used to expand the reach of your first-party data or provide you with access to the full scope of our Graph's 126 million households and 250 million individuals. Activity Feed Supported by our Graph, Activity Feed can help you deliver digital connectivity and resolution in a cookieless environment. Activity Feed can resolve disparate activity to a single, consumer profile. It can expand the quantity of addressable identifiers associated with your first-party consumers. Additionally, Activity Feed, by joining disparate activity and identifiers, provides clearer insights, more addressable targets, and more holistic measurement. Our Marketing Attributes and Audiences In a cookieless environment, our Marketing Attributes and Audiences provide valuable information and insights about who your consumers are, like their demographics, shopping patterns, and more, to facilitate more informed decision-making. You can use our Marketing Attributes and Audiences to enrich your first-party data, giving you crucial insights into your customers so you can make informed, strategic decisions. They can be matched to universal identifiers, expanding their utility. Additionally, our Marketing Attributes and Audiences are sourced from non-cookie dependent offline and digital sources, ensuring they are unimpacted by third-party cookie deprecation. Collaboration While third-party cookies have primarily served to connect data in the industry, many companies are turning to data collaboration in lieu of having third-party cookies. In doing so, they can connect data with key partners, which they can use to make better media decisions. Experian Collaboration helps make data collaborations better, powering higher match rates by using the various identifiers supported in our offline and digital graphs. Through our current support of collaboration in three environments, within Experian, through crosswalks, and in clean rooms, such as AWS, InfoSum, and Snowflake, we ensure that you only share the data you intend to share, while the sensitive information remains secure. This way, your partner and you can focus on how to use the data to benefit you and not on anything else. Get started with alternatives to third-party cookies today While many view the deprecation of third-party cookies as disruptive, we see it as an opportunity for the industry to embrace a new era of advertising while prioritizing consumer privacy. Achieving this balance is crucial, and Experian's solutions are here to help you navigate it effectively. As the AdTech industry gravitates toward a few tactics to effectively advertise in the cookieless future, Experian is here to understand your core needs and recommend products that will help. In a rapidly evolving marketing landscape, Experian stands as your trusted partner, offering expertise in data-driven and identity solutions. Connect with our team to seamlessly transition into these alternatives to third-party cookies, ensuring your marketing strategies remain effective, privacy-compliant, and focused on meaningful connections. Get started today Latest posts
In the ever-evolving and soon-to-be cookieless advertising world, brands and agencies need help finding and maintaining access to accurate and comprehensive marketing data that enables them to reach the audience segments that matter most. Flashtalking by Mediaocean and Experian have a collaboration in place to do just that. Through this partnership, Experian’s more than 2,400 syndicated audiences are available for activation within the Flashtalking platform and its Social Ads Manager. “There are a lot of audience segments and data disappearing within the advertising industry right now because of the deprecation of third-party cookies, but Experian’s syndicated audiences are built for this new privacy-first world. Through this partnership, Flashtalking's clients gain access to some of the industry's most actionable on-the-shelf and custom audience capabilities for activation and targeting across the publishers and social platforms that matter most. It’s as easy as identifying the segments that matter to your brand and activating them everywhere they exist with a few simple clicks.” – Ben Kartzman, COO, Flashtalking by Mediaocean This partnership unites the power of Flashtalking's best-in-class independent omnichannel advertising platform with Experian’s comprehensive audience intelligence, which spans 126 million households and 250 million consumers. “For the same reason that brands are investing more deeply in first-party data in the wake of third-party cookie deprecation, having access to the right audience segments has never been more important. Mediaocean offers access to the only independent ad server that’s powering truly omnichannel, personalized experiences, and we’re thrilled to be amplifying their ability to do that through Experian’s expansive audience segments.” – Colleen Dawe, Director, Sell-Side Sales, Experian The Flashtalking Social Ads Manager has long-standing relationships and technical integrations with all major platforms, including Facebook, Google Demand Gen, Instagram, LinkedIn, Pinterest, Snap, TikTok, and a forthcoming integration with Reddit. Experian data can be deployed through custom and syndicated segments within these platforms, providing clients with both reach and precision. The power of the Experian – Flashtalking collaboration Benefits to marketing organizations that tap Experian data and audience segments via the Flashtalking platform include the following: A unified customer view: Marketers can use Experian's comprehensive data within Flashtalking to create a unified view of the customer across multiple channels. This helps craft cohesive marketing strategies that deliver consistent messages, enhancing customer experiences and brand perception. Enhanced targeting and personalization: Marketers can access Experian's detailed audience segmentation and insights within Flashtalking to target campaigns effectively. They can personalize messages at scale based on demographic, psychographic, and behavioral data to increase engagement and conversion rates across all channels. Optimized cross-channel strategies: With Flashtalking's cross-channel capabilities, marketers can integrate Experian's insights to understand how different segments interact with various channels. This enables the design of optimized cross-channel strategies that cater to the preferences and behaviors of different audiences. Data-driven decision-making: This partnership combines Experian's in-depth consumer insights with Flashtalking's analytics and reporting tools to help marketers make informed decisions. This data-driven approach can improve campaign performance, optimize media spend, and reveal untapped market opportunities. Local market activation: Marketers can also use Experian's geographic and location-based data within Flashtalking to tailor campaigns to local markets. This localized approach can enhance relevance and response rates, providing a competitive edge in regional marketing efforts. Improved media efficiency: This collaboration also enables organizations to harness the power of Experian's data within Flashtalking to improve media planning and buying. They can identify the most effective channels and timeframes for reaching specific audiences, leading to more efficient and cost-effective media investments. Why choose Experian in Flashtalking For over 50 years, we have been a trusted single-source provider of data management solutions. Our expertise in offline and digital identity has enabled us to curate data from over 200 direct and active sources, offering a comprehensive view of consumers with granularity, accuracy and scale. Using this data, we can craft our syndicated audiences to cover many verticals and specialty categories. For example, a Flashtalking client in the automotive industry can supercharge its campaign efforts. Experian has found that automotive advertisers build segmentation using four major data categories: Automotive Demographics Lifestyles and Interests Retail Shoppers: Purchase-Based Directly within the Flashtalking platform, multiple syndicated audiences from Experian in each major data category specific to automotive are available that brands and agencies can activate on-the-shelf to reach consumers with targeted messaging and retargeting. Experian and Flashtalking are future-proofing advertising Together, Flashtalking and Experian will ensure advertisers can continue to deliver personalized, relevant, and impactful messages and experiences to consumers despite ongoing shifts within the data-driven marketing landscape, including the deprecation of third-party cookies in Chrome. This partnership offers greater access to audience segments built on privacy-safe insights with expansive reach, scale, and flexibility. Connect with us to learn more about how you can access Experian’s syndicated audiences through Flashtalking by Mediaocean. Contact us today About Flashtalking by Mediaocean Flashtalking unleashes the power of creative to make media work better. As the leading independent platform for personalization and intelligence across all marketing channels, our Creative Ad Tech bridges the gap between creative and media. We provide AI and automation to connect the silos between teams and deliver more efficient production, versioning, and distribution of creative. Our solutions operate at scale across CTV, Video, Display, Social, Native, Audio, DOOH, and Retail Media channels. As part of Mediaocean, Flashtalking is tied into the industry’s core ad infrastructure for omnichannel planning, buying, and billing. Visit flashtalking.com to learn more. Latest posts
Shoptalk 2024, the premier event for retail and e-commerce professionals, brought together industry leaders to discuss the latest trends and innovations shaping the future of retail. As the retail landscape continues to evolve, here are four key takeaways from Shoptalk 2024: 1. The continuing rise of retail media networks The evolution of retail media is propelling us into a new era of advertising and first-party data monetization. Retailers are using their valuable first-party data to offer targeted advertising opportunities on both their owned and operated channels — from sponsored content to personalized ads — and through offsite programmatic ads. However, the full potential of retail media networks (RMNs) is hindered by challenges in understanding and targeting shoppers beyond retail data, reaching customers across channels and validating measurement. To unlock the true value of RMNs, and turn these challenges into opportunities, companies should focus on four areas: Gain insights: Learn more about your customers and the customers your marketing partners care about. Create audiences: Use enriched data to build addressable audience segments for advertisers to target. Maximize reach: Expand your addressability and monetize your data on and off platform. Demonstrate success: Validate marketing impact by connecting ad exposures to outcomes. “It was evident at Shoptalk 2024 that the rise of retail media is unstoppable. The conversations, collaborations, and insights shared at the event cemented the position of retail media networks as the driving force behind the future of commerce.”Alison Hofelich, Sr. Account Executive, Big Box Retail & Grocery 2. Content-led commerce Content is becoming increasingly pivotal in driving commerce, with retailers investing in shoppable video to stimulate conversations and foster customer engagement. While video may not always lead to immediate transactions, it can start dialogues, offering retailers a platform to enhance customer loyalty and influence future sales. Retailers talked about their focus on connecting with Gen Z on a deeper level. PacSun highlighted initiatives like the launch of a gender-fluid line and continuous engagement with young consumers via social media for feedback. Additionally, PacSun talked about embracing "conscious capitalism" by co-creating with influencers and customers, recognizing the growing consumer preference for brands that make a positive impact. By collaborating with influencers and using user-generated content, retailers can create authentic experiences that resonate with their customers. 3. Data privacy and trust With data playing a central role in retail strategies, ensuring data privacy, and building trust with consumers are imperative. Retailers must prioritize transparency and security to safeguard customer information and nurture long-term relationships. While the focus may currently be on capturing Gen Z market share, businesses need to anticipate shifts in consumer demographics and adapt their strategies accordingly. Using customer data in a privacy-compliant way enables retailers to implement effective personalization strategies that drive long-term engagement and loyalty. “Retail media networks were at the center of Shoptalk 2024. In addition to retail media networks, the seamless integration of data to enhance customer personalization and the rising importance of targeting Gen Z were recurring themes."Kai Rood, Account Executive, Retail Apparel 4. The time to embrace AI is now Technology continues to drive innovation in retail, with advancements in AI reshaping the shopping experience. From virtual try-ons to personalized product recommendations, retailers are using AI to engage consumers and enhance product discovery. Testing and learning are essential for AI implementation, as companies navigate the risks and rewards of technological innovation. Navigate the future of retail with Experian Shoptalk 2024 provided invaluable insights into the future of retail, highlighting the importance of retail media networks, content-led commerce, data privacy, and tech innovation. By embracing these trends and innovations, retailers can position themselves for success in an ever-evolving marketplace. At Experian, our solutions are tailored to empower businesses in navigating this dynamic landscape. Through our Consumer Sync solutions, we bridge the gap between online and in-store touchpoints, ensuring a unified strategy for reaching audiences across channels and evaluating campaign performance. Our Consumer View solutions enable you to tap into 5,000 demographic and behavioral attributes to fill in any gaps on your customer. Go beyond category buyers by combining your first-party data and Experian's top ranked data to build custom audiences that lead to higher ROI for your advertisers. Connect with a member of our team today to get started. Latest posts