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
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
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. Get started Latest posts
In this article… What is cookie deprecation? Google Chrome’s cookie phase-out impact Challenges posed by Google’s cookie deprecation in 2024 Adapting to a cookieless world Best practices for marketers in the post-cookie era Third-party cookies have been the foundation of targeted advertising for a long time. Around 75% of marketers worldwide rely on third-party cookies, with approximately 42.2% of websites using them to gather user data. These tiny bits of code silently track our online activities, collecting search history and product preferences to help advertisers tailor their campaigns to our needs. However, as fears over online privacy have grown, the third-party cookie era is ending. A 2020 Deloitte survey revealed that 65% of respondents had major concerns about excessive cookie use; consumers want personalized ad experiences but don’t want to feel like marketers are tracking their every online move. While some other search engines have already eliminated third-party cookies, Google Chrome — which holds 65% of the global browser market — is just beginning to phase them out as new alternatives are tested. Google’s third-party cookie deprecation is expected to impact marketers in a big way. Let’s talk about what that impact will look like and how marketers can reconcile consumer demands for browsing privacy with their preference for personalized ad experiences. What is cookie deprecation? Cookie deprecation is a process where web browsers, like Google Chrome, phase out the use of a specific cookie type. In the context of this article, we’re referring to third-party cookies, small pieces of data stored on a device by websites a person visits. Advertisers and other companies use third-party cookies to track a person’s actions on the web. They help those companies learn about an individual’s interests and show them targeted ads. But over time, internet users have become more aware of cookies and how much companies know about them, so browsers are phasing out third-party cookies to respect user privacy. The timeline and reasons behind the shift In January 2020, Google announced it would no longer allow third-party marketing cookies by 2022. Realizing it needed to find an alternative first, it pushed the deadline back several times over the years, eventually confirming that third-party cookies would be deprecated by the end of 2024 — a big deal for the advertising industry. So, what’s the motivation behind this change? Many people are becoming increasingly worried about online privacy and the intrusiveness of third-party cookies. In recent years, lawmakers have pressured tech companies to make changes in response to their constituents’ concerns about online privacy rights. By getting rid of third-party cookies, browsers like Chrome are trying to give users more control over their data and respect privacy demands to create a more privacy-friendly browsing experience. This shift is part of a broader trend in the digital world toward greater privacy protections, with browsers like Firefox and Safari having already phased out third-party cookies. We've also seen other significant moves in this direction, including the following. These regulatory efforts reflect a growing awareness of how important it is to protect data privacy and consumer rights in a world gone digital. Apple's App Tracking Transparency (ATT) framework was introduced in iOS 14.5, requiring users to get permission before tracking their data across other apps or websites. The Global Privacy Control (GPC) strives to improve users’ control over their internet privacy by letting them signal their preferences for data sharing. Europe’s General Data Protection Regulation (GDPR) and California’s Consumer Privacy Act (CCPA) have strict guidelines for how companies handle personal data to prioritize transparency and user consent. Google's most popular browser, Chrome, recently made its first big move toward third-party cookie deprecation. On January 4, 2024, Google announced the rollout of a new "Tracking Protection" feature, limiting cross-site tracking by default. They're doing this gradually, activating the feature for 1% of random Chrome users worldwide, about 30 million people. Google Chrome’s cookie phase-out impact Chrome’s third-party cookie deprecation is expected to have the farthest-reaching consequences for marketers like you, as it has almost two-thirds of the browser market worldwide. It's important to note that this phase-out specifically targets third-party cookies, not first-party cookies, which are generated and stored by the website a user visits directly and will be unaffected by this change. Here are a few of the impacts to prepare for. Reduced tracking capabilities Once third-party cookies are eliminated, you may face challenges in understanding consumer behavior across different websites. Without this tracking capability, understanding your audiences and effectively tailoring advertising campaigns might become more difficult. Required shift in strategy It will be key for you to adapt your advertising strategies to rely less on third-party data and more on alternative targeting methods. This shift may involve greater emphasis on contextual advertising, which targets people based on the content of the websites they visit instead of browsing history, and first-party data gathered directly from site users to personalize advertising campaigns. Additionally, in order to move beyond reliance on cookies and third-party identifiers, activation platforms like demand-side platforms (DSPs) must evolve to identify addressable IDs within bid streams. This adaptability is essential as digital advertising shifts toward privacy and cookieless environments. By being able to recognize addressable IDs in bid streams, DSPs can help facilitate more accurate, personalized targeting and help advertisers reach their audiences across channels and devices without privacy concerns. As a marketer, you should understand the capabilities of your chosen platforms and inquire about their support for evolving targeting methods and data sources. New compliance regulations By limiting the ability to track users across the web, Google aims to enhance user privacy and control over their data. You’ll need to embrace privacy-centric approaches to advertising to comply with evolving privacy regulations and build trust with consumers. Challenges posed by Google’s cookie deprecation in 2024 Marketers are responding to the announcement of third-party cookie deprecation with an eye toward innovation as they proactively seek new solutions. As of early 2024, 56% of marketers in the United States were testing cookieless alternatives. Knowing their customer acquisition will be less efficient without these cookies, they’re looking for ways to maximize the value of their existing customers, increase retention, and make better use of first-party data. Others have been slow to react due to a lack of awareness or uncertainty about how to handle the changes. Here are some additional challenges advertisers can expect to face as third-party cookies begin to be phased out. Impact on targeting and personalization The decline of third-party cookies is expected to have a major impact on targeting and personalization strategies. As advertisers will no longer have access to individual browsing histories, some may struggle to reach specific audiences and deliver personalized content. As a result, they have begun to explore using first-party data and contextual targeting to preserve relevance and consumer engagement. Attribution and measurement challenges The future removal of third-party cookies may also make it harder to measure the effectiveness of advertising and accurately attribute conversions. Marketers are currently searching for reliable alternatives to track users across channels and touchpoints. Google's Attribution Reporting API and private aggregation methods are being explored as potential solutions to these attribution and measurement challenges. Data privacy and compliance challenges Future third-party cookie deprecation makes data privacy and compliance a top priority. With the introduction of stricter regulations like GDPR and CCPA, you need to ensure your data collection and usage practices comply with privacy laws. To maintain the trust of consumers and abide by regulatory requirements, it has become essential to shift toward first-party data collection and more transparent consent mechanisms. Lack of resources to invest in alternative solutions One of the main challenges advertisers will face with future cookie deprecation is a lack of resources to invest in alternative solutions. Many businesses don’t have the financial resources or technical expertise to explore and implement new targeting and measurement methods. Additionally, some companies have been reluctant to adopt new solutions because they want to thoroughly test and evaluate their efficacy. The fear of investing resources in unproven technologies or strategies has led to a cautious approach among marketers and advertisers. However, this reluctance to adapt could hinder their ability to remain competitive. Many companies may also face logistical challenges due to the complexity of transitioning from reliance on third-party cookies to alternative data sources and targeting methods. Integrating new technologies, adjusting workflows, and retraining staff requires time and effort, adding to the complexity of the transition. Adapting to a cookieless world Even though third-party cookies are going away, you still have other types of data in your arsenal to help you continue reaching your audience. Use first-party data First-party data, collected from customers or website visitors directly, offers valuable insights into consumer behavior and preferences. By investing in proven data collection methods and analytics tools, you can understand your audience more accurately and tailor your messaging and targeting accordingly. Explore Experian’s signal-agnostic products Experian is leading the charge in preparing marketers for a cookieless world with our audiences and foundation built from over 200 offline data sources. Our signal-agnostic Graph supports universal IDs and enables brands to expand their existing IDs to all other digital and addressable IDs within our Graph. Advertisers can enhance their strategies by working with Experian to enrich first-party data with our demographic and behavioral attributes to gain a better understanding of audiences without cookies. Additionally, our data collaboration solutions enable marketers to collaborate with partner data, deriving greater value and enabling deeper insights for effective marketing campaigns. Experian is future-proofing identity strategies to ensure continued marketing performance and success. Discover alternative targeting technologies As third-party cookies become obsolete, marketers are starting to investigate alternative targeting technologies for optimizing campaigns. These may include contextual targeting, which focuses on the content and context of a user's web browsing activity, as well as emerging solutions like cohort-based targeting, which groups users based on shared interests and behaviors. Think of third-party cookie deprecation as the opportunity to innovate and rethink strategies that have relied too heavily on one type of technology. Best practices for marketers in the post-cookie era Embracing best practices for a privacy-centric advertising environment can help you maintain your effectiveness and thrive in a cookieless world. Let's talk strategies to help you succeed in the post-cookie era. Focus on customer consent and transparency Having consumers opt-in to sharing their data is an excellent way to build your data pool ethically. One way to do this is by encouraging users to create accounts or log in to access exclusive content or features while providing valuable information in exchange for their data. Another way is by conducting surveys or quizzes to gather insights directly from users about their preferences, interests, and behaviors. You could also use interactive content like polls and contests to engage users and collect data. These approaches can enrich your data pool while demonstrating your commitment to respecting user privacy and preferences. Prioritize obtaining explicit consent from users before using or gathering their data for your advertising. Implement transparent data practices by clearly communicating to consumers how you’ll use their data and providing easily accessible options to manage their privacy preferences. By building trust through transparency and respecting user choices, you can forge stronger relationships with your audience. Enhance the customer experience with quality data In the future absence of third-party cookies, first-party data will be paramount in helping you understand and engage with your audience effectively. Invest in strategies that will help you collect high-quality data directly from customers, such as through interactive content, preference centers, and loyalty programs. By obtaining and using accurate, relevant data, you can provide personalized experiences that resonate with audiences and drive meaningful engagement. Collaborate with evolving technology platforms As Google's cookie deprecation reshapes advertising, it will be important to collaborate closely with technology providers and key industry players who are adapting to these changes. Make sure your chosen platforms are keeping up with the industry and offering solutions that align with the shift to cookieless environments. Partnering with platforms that are proactively addressing these challenges will make it easier to navigate the changing marketing environment and drive better results for consumers and campaigns. Prepare for the future of advertising with Experian Despite the fact that third-party cookies are going away, there’s no need to panic. This change offers new opportunities for innovation and strategic refocus. With the emergence of alternative targeting methods, such as first-party data, you can still reach your target audiences effectively while respecting user privacy. By staying proactive and utilizing your available resources, you can navigate the cookieless future with confidence and continue to drive meaningful connections with your audiences. With a robust suite of data-driven solutions and a breadth of addressable IDs, Experian can help you continue to reach and engage with your target audiences. Our Consumer Sync identity solution is signal-agnostic and empowers consistent consumer interactions, while our Consumer View data solution offers privacy-compliant data to help you connect meaningfully with consumers and reach audiences effectively. Connect with Experian today to discover how we can help you prepare for and thrive in a cookieless future. Connect with us Latest posts
As the vibrant colors of spring emerge, so do opportunities for marketers to engage with their audience in fresh and meaningful ways. Crafting effective spring advertising campaigns requires a deep understanding of your target audience. In this blog post, we'll explore five key audience categories, each presenting unique opportunities for impactful spring advertising campaigns. Spring cleaning and home improvement Embrace the energy of renewal associated with spring cleaning. Target audiences interested in home improvement and organization with Experian syndicated audiences like "Gardening Mothers" or "Home Improvement & DIY Frequent Spenders." Share tips, hacks, and products that align with the desire for a fresh start, turning mundane chores into exciting opportunities for your brand to shine. Here are 6 audience segments that you can activate to target consumers focused on spring cleaning and home improvements: Purchase Transactions > Household Goods > Frequent Spenders Purchase Predictors > Shoppers All Channels > Home Maintenance and Improvement Purchase Transactions > DIY and Advice Seekers > High Spenders Purchase Transactions > Home Improvement/DIY > High Spenders Retail Shoppers: Purchase Based > Home Improvement & DIY > Hardware & Home Improvement Retail Shoppers: Purchase Based > Shopping Behavior > Big Box and Club Stores: Walmart Frequent Spenders Gardening Spring is the time when consumers are investing in gardening equipment for lawn care. Here are a few audience segments you can activate to target consumers focused on gardening: Retail Shoppers: Purchase Based > Home Improvement & DIY > Garden & Landscaping Stores: Frequent Spenders Lifestyle and Interests (Affinity) > Hobbies > Gardening Lifestyle and Interests (Affinity) > Moms, Parents, Families > Gardening Mothers Purchase Predictors > Shoppers All Channels > Lawn and Garden Movers and new homeowners Did you know? 44% of new homeowners are between the ages of 25-39*. Improve engagement for your spring targeting by pairing our new homeowner audiences with our Demographics > Ages > 25-29, 30-34, and 35-39 syndicated audiences. Here are a few you can activate now: Life Events > New Homeowners > Last 6 Months Life Events > New Movers > Last 12 Months Mother's Day: Unveil the perfect gift Appealing to the emotion of gratitude and love, Mother's Day is a significant occasion for marketers. Activate Experian syndicated audiences such as "Mother's Day Shoppers" and "Florists & Flower Gifts High Spenders" to tailor your spring advertising campaign toward those likely to purchase heartfelt gifts. Share ideas and promotions that resonate with the nurturing and caring spirit of this celebration. Here are 6 audience segments that you can activate to target consumers getting ready to celebrate Mother's Day: Retail Shoppers: Purchase Based > Seasonal > Mothers Day Shoppers Spenders Lifestyle and Interests (Affinity) > Moms, Parents, Families > Mothers with 2+ children Mobile Location Models > Visits > Mothers Day Shoppers Lifestyle and Interests (Affinity) > Moms, Parents, Families > Moms Age 25-54 Mobile Location Models > Visits > Jewelry Retail Stores Retail Shoppers: Purchase Based > Shopping Behavior > Florists & Flower Gifts: High Spenders Father's Day: Celebrate Dads in style Highlighting the significance of paternal bonds, Father's Day is an excellent opportunity to showcase thoughtful gifts and experiences. Engage the "Father's Day Shoppers" or "Growing and Expanding families" with content and products aligned with their interests. Craft a campaign that acknowledges the varied roles fathers play and the unique gifts they would appreciate. Here are 6 audience segments that you can activate to target consumers getting ready to celebrate Father's Day: Retail Shoppers: Purchase Based > Seasonal > Fathers Day Shoppers Spenders Mobile Location Models > Visits > Fathers Day Shoppers Mosaic – Personas – Lifestyle and Interests > Group M: Families in Motion > M45 – Growing and Expanding (Young, working-class families and single parent households that live in small city residences) Geo-Indexed > Demographics > Presence of Children: Ages: 7-9 Lifestyle and Interests (Affinity) > Activities and Entertainment > Home Improvement Spenders Life Events > New Parents > Child Age 0-36 Months Plan for the 2024 TV Upfronts When gearing up for the 2024 upfronts, you can expand your TV planning by incorporating diverse audience categories into your spring advertising campaigns. It's not just about targeting a demographic; it's about captivating your unique audience. Whether it's cord cutters, ad avoiders, avid streamers, or households that watch TV together, understanding and engaging with these distinct segments is paramount. To maximize impact, use comprehensive TV data that goes beyond broad demographics. Here are 6 audience segments that you can activate as part of your TV planning strategy: Retail Shoppers: Purchase Based > Entertainment > Streaming/Video/Audio/CTV/Cable TV: Cable/Broadcast TV: Cord Cutters: Recent Retail Shoppers: Purchase Based > Entertainment > Streaming/Video/Audio/CTV/Cable TV: Streaming Video: High Spenders Television (TV) > Ad Avoiders/Ad Acceptors > Ad Avoiders Television (TV) > TV Enthusiasts > Paid TV High Spenders Television (TV) > Ad Avoiders/Ad Acceptors > Ad Acceptors Television (TV) > Household/Family Viewing > Pay TV/vMVPD Subscribers Households To find consumers who are most likely to engage with your TV ads, you can layer in our TrueTouchTM engagement channel audiences: TrueTouch: Communication Preferences > Engagement Channel Preference > Digital Video TrueTouch: Communication Preferences > Engagement Channel Preference > Streaming TV Summer preparation: Anticipate the fun ahead As spring transitions to summer, help your audience gear up for the upcoming season. Target "Summer break travelers" or "Memorial Day Shoppers" with offerings that align with their summer plans. Whether it's fashion, travel essentials, or outdoor gear, position your brand as an essential companion for their summer adventures. Here are 6 audience segments that you can activate to target consumers getting ready for summer: Mobile Location Models > Visits > Summer Break Travelers Retail Shoppers: Purchase Based > Seasonal > Summer Sales Event Shoppers: Independence Day Shoppers Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Summer Trips Mosaic – Personas – Lifestyle and Interests > Group B: Flourishing Families > B09 – Family Fun-tastic (Upscale, middle-aged families with older children that live in suburban areas and lead busy lives focused on their children) Mobile Location Models > Visits > Memorial Day Shoppers Retail Shoppers: Purchase Based > Seasonal > Summer Sales Event Shoppers: High Spenders: Memorial Day Shoppers Did you know? Consumers between the age of 45-49 make up the largest percentage of top apparel shoppers*. Improve engagement for summer apparel shopping targeting by refining your audience with our Demographics > Ages > 45-49 syndicated audience. Spring into effective advertising with Experian’s syndicated audiences For spring advertising campaigns, understanding your audience is the key to success. By activating Experian's syndicated audiences, you can refine your approach and resonate by activating specific segments. Embrace our syndicated audiences so you deliver campaigns that not only capture attention but also build lasting connections with your audience. As you embark on this spring marketing journey, remember – the possibilities are as endless as the blossoming flowers. Connect with our audience team You can activate our syndicated audiences on-the-shelf of most major platforms. For a full list of Experian's syndicated audiences and activation destinations, download our syndicated audiences guide below. Download our syndicated audiences guide Check out other seasonal audiences you can activate today. Take me there Footnote *Experian looked at our demographic and purchase-based data to understand retail trends over the past year. Our demographic and purchase-based data covers credit and debit card usage across 500 top merchants. Latest posts