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The AdTech industry is undergoing rapid changes as it adjusts to the impacts of data deprecation and ever-changing privacy regulations. At the same time, there are fears of a potential economic downturn. How should you handle marketing in a recession? What should your marketing mix look like? In this blog post, we'll cover how to navigate this uncertainty and three essential ingredients for your marketing mix. First, we'll look at the complexity and uncertainty facing marketers. Turbulence with Twitter After Elon Musk's Twitter takeover in October 2022, half of Twitter's top 100 advertisers left the platform and started to seek out alternatives. The retail media boom In the next four years, Forrester Research projects that U.S. retail media ad sales will double to reach 85 billion by 2026.1 Most of this growth is catalyzed by CPG and consumer electronic brands that have a scarcity of zero- and first-party data; they need more media closer to the point of purchase, especially as CFOs are scrutinizing budgets. Consumption continues to fragment It's becoming harder than ever to reach the right person, at the right time, predict their intent, and get a 360-degree view of your customer.2 Data deprecation is top of mind According to Forrester Research, updating their data strategy to address data deprecation is the number one priority for marketers. Addressing data deprecation is also a priority for consumers, who increasingly feel that audience targeting is more intrusive than beneficial.3 Data deprecation affects identity solutions Third-party data and mobile ad IDs (MAIDs) are the connective tissue for identity solutions. As we see those signals go away, there are fewer linkages to resolve identity and it's leading to a rise in fragmented, duplicated, and shallow identity. Recession fears In addition to everything happening in AdTech, there are also fears of a possible recession. According to Forrester, 40% of Gen Z and 41% of Millennials believe fears of an upcoming recession are greatly exaggerated. On the other hand, only 24% of Gen X and 12% of Baby Boomers agree.4 Navigate uncertainty and marketing in a recession With the current macroeconomic conditions, data deprecation, and fragmented consumption in mind, what should your strategy look like for marketing in a recession? Forrester recommends three strategies: People-led planningTest creativeOptimize for marginal costs People-led planning Planning doesn't have to be fragmented. Map offline and online media exposures to consumer decision journeys. Strategies like lifetime value (LTV) driven audience segmentation to correlate awareness at top of the funnel layered with demand generation exposures harvested later in the funnel. To do this, it's crucial to work with providers that give you visibility into the audience buyer's journey to awareness, intent, consideration, and purchase, all the way through to loyalty.5 Test creative Make your creative work harder for you. Apply the same rigor with your creative that you applied to segmentation. Utilize multivariate testing to identify creative that is winning or losing. When you understand how each variable performs, you can scale the variables with creative optimization to have a material impact on performance. Optimize for marginal costs Optimize for marginal costs of acquisition, not just the average. Adjust for incrementality – what is the cost to acquire one more customer, rather than the average cost of acquisition. Find the right marketing mix in a recession With these changes in mind, how can you find the right marketing mix in a recession? We can show you the way. You can create the right marketing mix with three key ingredients: Audiences Identity Activation Let’s explore each ingredient to start you down the path toward marketing campaign success. Audiences: Know your customer The first ingredient to add to your marketing mix in a recession is your audience. Knowing your customer is key to targeting the right audiences successfully. Data-driven targeting can help you find your best audiences based on demographics, modeled lifestyles, and behaviors to improve marketing campaign performance. Not sure where to start when it comes to developing your target audience strategy? We can help. We track digital usage of our data used by advertisers and identified the top four digital audiences that advertisers purchased over the last four years. Four digital audiences to consider Marketing strategies are only as strong as the data foundation they’re built on. The top four digital audiences that advertisers are purchasing from Experian include: Demographics Behavioral Modeled Lifestyles Custom Audiences Demographics Examples include age, gender, relationship status, living situation, life experience, and employment. Behavioral This audience allows marketers to identify households that are more likely to engage in certain activities or belong to certain groups. Modeled Lifestyles Experian’s Mosaic® USA segmentation. This is a household-based consumer lifestyle segmentation system that classifies all U.S. households and neighborhoods into 71 unique types and 19 overarching groups, providing a 360-degree view of consumers’ choices, preferences, and habits. Custom Audiences This is an audience blended from multiple sources or derived from first-party look-alike modeling. Changes in digital audience strategies Over the last four years, Modeled Lifestyles and Custom Audience purchases represented the smallest share of digital activation, while Behavioral and Demographic segments were more popular with advertisers. When the U.S. rolled out the COVID-19 vaccine, consumers became more active. People were shopping in stores, returning to the gym, and taking trips that they had postponed during the height of the pandemic. Marketers turned to higher compositions of Demographic and Modeled Lifestyles to reach these audiences between April and December of 2021. Sustained growth in Demographic audience activation could suggest a move back to tried and true audience strategies as signals continue to decline and amid evolving regulation. With economic uncertainty, marketers return to what they know. Traditional targeting methods like Demographics and Modeled Lifestyles are the baseline of many marketing strategies and we predict that we will continue to see marketers activating against these data sets. Download our 2023 digital audience trends and predictions report to discover our full insights on how digital activation has changed and where we’re headed. Identity: Understand the customer journey Identity resolution is the next ingredient that you should add to your marketing mix in a recession. It should be a foundational element of every marketer's strategy. What is identity resolution? In the simplest terms, identity resolution is the process of matching different devices, IDs, and touchpoints back to a single person. Identity resolution expands marketers' addressability and reach of their target audience and helps inform and measure accurate customer journeys. Identity resolution challenges Identity resolution faces two main challenges: Making the data actionable. Humans are complex. We have behaviors that change based on our current social groups and life events, we use dozens of internet-connected devices in a single day, and we exhibit distinct behaviors that happen online and in the physical world. This means marketers have mounds of data being collected from different channels based on that dynamic behavior of people, making it feel impossible to organize the data in a way that makes it feel actionable, know how it ties back to real humans, and ensure they're doing it in a responsible and compliant way. Signal loss. Marketers continue to lose important signals that they've previously been able to rely on to inform their next move. Signals are being lost as our industry places more privacy regulations and restrictions on what can be tracked and as consumers themselves change behaviors to protect their privacy. As consumer behaviors continue to change and signals disappear, identity resolution gets exponentially harder. Expand addressability and reach with identity resolution Data deprecation adversely affects identity solutions, but identity resolution should be a key ingredient in your marketing mix. Identity resolution ensures that consumers experience more relevant products, offers, and messaging – allowing you to reap the ROI benefits of hitting consumers at the perfect point in their journey. Finding an identity resolution partner When selecting an identity resolution partner, you should understand the data and processes that are implemented behind the scenes. It's important to know: What makes up their consumer database?How fresh is their data?What identifiers can they match?How do they protect consumer privacy? At Experian, we're rooted in deterministic offline data which creates a stable foundation. We then layer in digital and behavioral touchpoints. We have decades of experience managing consumer data safely. We have insights on 250 million individuals, three billion devices, and one trillion device signals. Our databases evolve as quickly as the human behavior powering them does. Our approach to identity resolution is open and agnostic. This means we can collect and ingest nearly all available offline and online identifiers. We can do this in all types of environments, including connected TV (CTV), mobile, and cookieless. We have two types of identity resolution: OfflineDigital This ensures we control how known and anonymous data points are connected for consumer privacy purposes. Identity resolution in action Our depth of data gives our clients access to see the whole human and gain the context around singular data points. Let's walk through an example of our identity resolution capabilities. Challenge Our TV media platform client needed to measure the effectiveness of an ad campaign they were running on behalf of a leading consumer electronics brand. The TV platform wanted to be able to accurately report on which consumers made a purchase after seeing the brand’s TV commercial on their platforms. Solution Using our digital identity resolution services, our client could capture online purchases made on the brand’s website and link them back to a consumer profile. In addition to online transactions, our client used our offline resolution services to resolve email addresses of consumers that purchased offline, using warranty registration details. With online and offline purchase data now resolved back to an individual ID, we also performed identity resolution on viewers in their TV subscriber files that had also been exposed to the TV commercial. This allowed us to identify subscribers that had both seen the ad and purchased a product. We provided our client with a packaged report that they could white-label and pass along to the brand. Results By providing this attribution reporting to the brand, the TV platform could validate the ROI spent on their platform. The brand was extremely satisfied with the results, and they transitioned the one-off TV commercial into an ongoing campaign and purchased quarterly measurement. This led to solid recurring revenue for the TV platform. Activation: Experiment and measure the impact The third and final ingredient to finding the right marketing mix in a recession is activation. Experimentation is the best way to determine which channels work best for your business and provide the most ROI. Demand-side platforms (DSP), video platforms, and sell-side targeting are three important activation channels that you should consider experimenting with. Demand-side platforms We continue to see increased demand for environments where alternative identifiers are being transacted (like DSPs and video). Social channels are decreasing; this can be attributed to changes in privacy, security, and concerns around brand safety. Amazon’s DSP is catching up with Google and Meta to become a top ad platform. Video platforms Digital video and other video channels like over-the-top (OTT) and CTV will continue to grow. Digital video will capture the most ad spend in 2023 (22.4% in 2023 vs 19.3% in 2022). Because of this, advertisers are placing bigger bets on the combination of addressable and CTV. Sell-side targeting Data sharing relationships will become strongest on the sell-side as we move toward consented first-party data. Ad dollars are shifting to channels that use the sell-side approach, like retail media and CTV. Sell-side targeting enables brands to access large amounts of inventory across publishers and retailers. By getting closer to the ad inventory, advertisers can future-proof their strategies by having more access to better data signals. Direct relationships like these will be necessary as privacy regulations increase and signal loss continues. We can help you find the right marketing mix in a recession Now is the time to be opportunistic. Gaining share of voice during a downturn is cost-effective. Proactive marketing builds pent-up demand. Delivering the right message in the right place at the right time means truly knowing your prospects and customers as individuals. At Experian, we bring you the highest-resolution picture of people, so you and your customers can connect with confidence. You can turn prospects into customers with the right audience. By understanding your customers better, you can find more like them. Together we can power better results. Get started Find the right marketing mix Check out our webinar, "Find the right marketing mix with rising consumer expectations." Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joined Experian experts Erin Haselkorn and Eden Wilbur. Watch the recording to learn: New data on the complexity and uncertainty facing marketersConsumer trends for 2023Recommendations on finding the right channel mix and the right consumers Watch now Sources 2022 Retail Media Ad Sales Forecast, US. Forrester Research, Inc. 2022. Forrester Analytics Consumer Technographics® Technology, Media, and Telecom Topic Insights 1 Survey. Forrester Research, Inc. 2020. CMO Pulse Survey. Forrester Research, Inc. July 2021. Forrester's Consumer Energy And Retail Online Survey. Forrester Research, Inc.People-Led Planning Solves Customer Problems to Drive Growth. Forrester Research, Inc. August 2, 2021. Latest posts

In our last few blog posts, we’ve talked about customer segmentation and different ways to segment your target audience into smaller chunks like demographic and psychographic segmentation to connect with the right people. Customer segmentation enables marketers to focus their marketing efforts on their target customers, improving their marketing targeting strategy. But what if there was a subset of users that had an even bigger impact when targeted? Enter Super Users - the strategic players who can give your ROI numbers a major boost! It may take some trial-and-error testing to pinpoint these super segments accurately, but knowing how these key individuals interact is essential for any successful marketing targeting strategy. What is a Super User? As technology progresses and media consumption grows, a unique group is rising to the top. Activate Consulting's Technology & Media Outlook 2023 found that Super Users are powering the digital world, with a strong presence across all major media and technology verticals. This select crowd is made up of young, educated individuals who lead affluent lifestyles – spending more time and money than any other user group! Why should you add Super Users to your marketing targeting strategy? Super Users are a highly influential audience with the potential to drive major business growth. They stand out from other users in their commitment and dedication across four key areas: Time spent with mediaSpendTechnology and media adoptionEmerging eCommerce behaviors “Over the next years, the imperative for technology and media companies will be to identify, reach, and super-serve Super Users – the single group of power users whose time and spend far surpass those of other users.”Activate consulting's technology & media outlook 2023 You can use Super Users as a subset of your marketing targeting strategy. While you may need to reach beyond Super Users to achieve your goals, it’s worthwhile to consider: Targeting them separatelySpending more on mediaReaching them at a higher frequency Time spent with media Super Users make a powerful impact, despite comprising only 22% of the U.S. population. They are incredibly influential in terms of media consumption and engagement – spending more than double the amount of time interacting with content compared to other users. Inclined to multitask Super Users take multitasking to the next level. Not only do they spend more time with electronics, but they excel in the art of juggling multiple activities. While watching videos and playing video games on one device, Super Users might also be busy engaging with social media on another. This makes them an unstoppable force when it comes to getting the most out of their digital experiences! High share of dollar spend Super Users are big spenders when it comes to media, particularly in gaming and music. Compared with all other users, Super Users' average video spend is close to triple the amount ($76 vs $27). However, their biggest increases come from gaming and music; they're collectively spending 12x more on games and shelling out 21x as much for tunes! With 60% of eCommerce spend coming from Super Users, they are driving the industry forward with their enthusiasm and willingness to test out cutting-edge shopping trends like buying through social media, live streaming purchases, and trying on products virtually. Super Users are setting the tone for this dynamic industry. Technology and media adoption Most Super Users are brand advocates. They’re trendsetting individuals who stay ahead of the curve on media and technology. They eagerly take advantage of new products, services, and data-sharing opportunities to receive tailored ads that fit their lifestyle. Crypto & NFTs Super Users blaze the trail for cryptocurrency and non-fungible tokens (NFTs)! This group is five times more likely to explore, engage with, and embrace new digital-monetary technologies. Pioneers of the Metaverse As Metaverse usage continues to rise, Super Users are leading the way. Over 80% of these trailblazers have embraced these digital spaces within just the last year. We’re seeing accelerated interest from them as they seek out new opportunities for creativity, connections, and transactions within their favorite Metaverses. Many express interest in Metaverse experiences such as purchasing physical items to creating virtual havens. In fact, they’re 5x more interested in all things meta-related! How Experian can help you identify and target Super Users So how can you find your Super Users and include them in your marketing targeting strategy? Whether you want to build or acquire highly addressable audiences, we can help you precisely reach the right individuals and households in any channel you desire with Consumer View. Consumer View It all starts with data. Delivering the right message in the right place at the right time means truly knowing your prospects and customers as individuals - their lifestyles, behaviors, and shopping preferences. Consumer View data can provide a deeper understanding of your customers. Consumer View is the world’s largest consumer database that contains over 3,900 attributes for 250 million adult consumers in the U.S. with coverage of 126 million (98%) of U.S. households. Consumer View can help you find out: What do your customers look like?What do your customers do?How and when should you reach your customers?What motivates your customers? Modeled and syndicated audiences We have over 2,500 pre-built audiences that are privacy-safe and built using advanced data science and the most comprehensive consumer data available. These digital audiences are readily available via major publishers, data management platforms (DMPs), advanced TV operators, and demand-side platforms (DSPs). Our pre-built audiences can be used consistently across multiple distribution partners – making sure you can quickly find the right audience for the right campaign without having to build your own consumer personas. In addition to being available as digital audiences, our segmentation products are also available to use across all consumer touchpoints to enable consistent omnichannel campaign targeting. There are infinite data combinations and selections we can help you with for optimal audience targeting. Using our comprehensive inventory of data, we can find even the most unusual of audiences to help you connect with new prospects. From demographics to behavioral and psychographic information, we draw on a massive base of knowledge accumulated during five decades in business. Mosaic® USA Experian’s Mosaic® USA is a household-based consumer lifestyle segmentation system that classifies all U.S. households and neighborhoods into 71 unique types and 19 overarching groups, providing a 360-degree view of consumers’ choices, preferences, and habits. Using Mosaic lifestyle segmentation, you can anticipate the behavior, attitudes, and preferences of your best customers and reach them in the most effective traditional and digital channels with the right message in the right place at the right time. Tailored Segmentation uses a sophisticated data-driven clustering system that leverages the 71 Mosaic types that match to first-party data like yours. Tailored Segmentation allows you to regroup Mosaic types based on the attributes you weigh as more impactful to your business. Have you designed your own segments in-house? You can apply Tailored Segmentation to those segments for deeper insights through a tailored analysis. Are you still looking for a way to segment your market even though you understand your typical best customer? Tailored Segmentation can weigh these attributes and develop a custom clustering and analysis of your market. We can help you find your Super Users Super Users are an important segment of any market. Marketers need to be able to identify them quickly and act upon their insights. Our marketing solutions provide the necessary data and analytical capabilities to easily find and target your potential Super Users for an effective marketing targeting strategy. With Experian, you can deliver messages that are more in line with what matters to this influential group of customers. We understand how challenging it can be to find these customers and ensure they get the tailored, personalized messaging they deserve - so let us help you do just that! We can provide deep insights beyond the generic customer persona that allows marketers to look into the effectiveness of their marketing strategies from multiple angles. We want to help you gain an edge over your competitors by helping you identify, target, and engage Super Users for increased revenue growth. Ready to find your Super Users? Enhance your marketing targeting strategy today! Sources Activate Technology & Media Outlook 2023. Activate Consulting. Latest posts

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 strategiesHow contextual advertising addresses signal lossWhy addressability is more important than everWhy good creative is still integral in digital marketingTips 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! Watch 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. Contact us today 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 2023Recommendations on finding the right channel mix and the right consumers Watch now About our experts Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, ExperianJason 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, YieldmoAlex 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

In 2022, Google began changing the availability of the information available in User-Agent strings across their Chromium browsers. The change is to use the set of HTTP request header fields called Client Hints. Through this process, a server can request, and if approved by the client, receive information that would have been previously freely available in the User-Agent string. This change is likely to have an impact on publishers across the open web that may use User-Agent information today. To explain what this change means, how it will impact the AdTech industry, and what you can do to prepare, we spoke with Nate West, our Director of Product. What is the difference between User-Agents and Client Hints? A User-Agent (UA) is a string, or line of text, that identifies information about a web server’s browser and operating system. For example, it can indicate if a device is on Safari on a Mac or Chrome on Windows. Here is an example UA string from a Mac laptop running Chrome: To limit the passive fingerprinting of users, Google is reducing components of the UA strings in their Chromium browsers and introducing Client Hints. When there is a trusted relationship between first-party domain owners and third-party servers, Client Hints can be used to share the same data. This transition began in early 2022 with bigger expected changes beginning in February 2023. You can see in the above example, Chrome/109.0.0.0, where browser version information is already no longer available from the UA string on this desktop Chrome browser. How can you use User-Agent device attributes today? UA string information can be used for a variety of reasons. It is a component in web servers that has been available for decades. In the AdTech space, it can be used in various ad targeting use cases. It can be used by publishers to better understand their audience. The shift to limit access and information shared is to prevent nefarious usage of the data. What are the benefits of Client Hints? By using Client Hints, a domain owner, or publisher, can manage access to data activity that occurs on their web properties. Having that control may be advantageous. The format of the information shared is also cleaner than parsing a string from User-Agents. Although, given that Client Hints are not the norm across all browsers, a long-term solution may be needed to manage UA strings and Client Hints. An advantage of capturing and sharing Client Hint information is to be prepared and understand if there is any impact to your systems and processes. This will help with the currently planned transition by Google, but also should the full UA string become further restricted. Who will be impacted by this change? Publishers across the open web should lean in to understand this change and any potential impact to them. The programmatic ecosystem supporting real-time bidding (RTB) needs to continue pushing for adoption of OpenRTB 2.6, which supports the passing of client hint information in place of data from UA strings. What is Google’s timeline for implementing Client Hints? Source: Google Do businesses have to implement Client Hints? What happens if they don’t? Not capturing and sharing with trusted partners can impact capabilities in place today. Given Chromium browsers account for a sizable portion of web traffic, the impact will vary for each publisher and tech company in the ecosystem. I would assess how UA strings are in use today, where you may have security concerns or not, and look to get more information on how to maintain data sharing with trusted partners. We can help you adopt Client Hints Reach out to our Customer Success team at tapadcustomersuccess@experian.com to explore the best options to handle the User-Agent changes and implement Client Hints. As leaders in the AdTech space, we’re here to help you successfully make this transition. Together we can review the options available to put you and your team on the best path forward. About our expert Nate West, Director of Product Nate West joined Experian in 2022 as the Director of Product for our identity graph. Nate focuses on making sure our partners maintain and grow identity resolution solutions today in an ever-changing future state. He has over a decade of experience working for media organizations and AdTech platforms. Latest posts

Tap into our collaboration with ARF’s DASH study for one-of-a-kind TV audiences Understanding the importance of aligning campaigns with the media usage habits of consumers, Experian Marketing Services has partnered with The Advertising Research Foundation (ARF) and its DASH (Device and Account Sharing) universe study to create an innovative solution for marketers and advertisers.     A leading industry organization dedicated to furthering the scientific practice of advertising and marketing, the ARF conducts independent research and assists in establishing rigorous standards of practice. Its 400+ members include leading marketers, media companies, advertising agencies, and research and measurement firms. What does DASH data reveal? The ARF’s DASH study was developed with National Opinion Research Center (NORC) and seven industry sponsors, including Experian. DASH measures, in granular detail, how American households and individuals connect to and consume TV, use digital devices, and interact with and share streaming media and eCommerce accounts. DASH also contains a cohort of repeat respondents to uncover the dynamics of complex media actions, such as cord cutting.   DASH produces an unbiased, nationally projectable data set, which, when combined with Experian's Marketing Data enables the creation of one-of-a-kind audience segments based on TV, media, and device usage at scale. In addition, pairing DASH data with Experian Marketing Data yields insights for industry partners that unlock how consumers engage with media and technology across their devices and eCommerce accounts.  How do we make DASH audiences – and why? By combining the ARF’s DASH data set with Experian Marketing Data, we developed one-of-a-kind TV audiences that reflect how viewers interact with digital devices and eCommerce accounts. We have created this resource so our customers can align their marketing campaigns with media usage. These audience segments also yield insights that help marketers reach their audiences with the right messages and content. “Television viewing behavior has undergone a massive transformation, making it challenging for advertisers to reach their target audience and optimize frequency. These audiences give advertisers invaluable tools for managing their campaigns in an increasingly fragmented environment.” - Doug McLennan, Director of Product Management, Experian Explore our DASH audiences to advance your digital and TV ad campaign strategy TV usage and viewing behavior audiences   These audience segments allow marketers to reach unique and targeted viewers, like frequent streamers or those who watch exclusively on larger screens.      Ad Avoiders    Ad Acceptors      Household/Family Viewing – Co-Watchers      Household/Family Viewing – Co-Watchers with Children      Household/Family Viewing – Co-Watchers without Children      Household/Family Viewing – Solo Watchers      TV Enthusiasts – Paid TV High Spenders      Viewing Device Type – Screen Size - Small      Viewing Device Type – Screen Size - Large     With our new TV audiences, you can target viewers with precision, accuracy, and confidence, enabling you to maximize your marketing efforts.  We are excited to offer these new segments and look forward to continuing our work with the ARF to develop new resources that help you connect with your target audiences.  “DASH has established itself as a reliable and unbiased calibration set - a “true North” - for media measurement. Our collaboration with Experian puts the power and precision of DASH in the hands of marketers and advertisers as well.” - Paul Donato, Chief Research Officer, ARF Our DASH audiences can be found on the shelf in your demand-side platform of choice for easy accessibility, with availability across all offline and online channels. Connect with us to learn more.     For more information on our partner ARF,  visit www.thearf.org. 

2022 was a year of adjustment. Consumers adjusted to a post-pandemic world and returned to pre-pandemic shopping behaviors. Consumers adjusted their budgets as the price of goods skyrocketed, as a result of high inflation. To combat inflation, the U.S. Federal Reserve adjusted interest rates. This further restricted consumer buying power. The AdTech ecosystem also experienced adjustments. Google adjusted the date of cookie deprecation. Federal legislation forced technology companies to adjust their consumer privacy practices. Marketers and advertisers adjusted how they address interoperability issues by investing in clean room solutions. This year of adjustment makes it harder to predict where consumers will spend and how marketers should plan their digital audience strategies.   What will 2023 bring to AdTech? Download our 2023 AdTech trends and predictions report to access our forecast to help you plan for 2023. Our report will answer:    How has digital activation changed over the last four years?    What are the top advertising platforms?    Which digital audiences are advertisers buying?   Do digital audience strategies vary by vertical?   Our AdTech trends forecast    In 2023, digital activation will increase. Digital audience activation continues to grow at a significant rate despite market shocks like the pandemic, inflation, and higher interest rates.   Given the current economic uncertainty, we predict that marketers will look toward tried and true channels where they are confident they will have quality audiences, inventory, and be able to drive ROI.  What will digital activation look like in 2023?   Between 2018-2021, digital audience activation increased annually by 46%. Using projected 2022 results, between 2018-2022, it will increase annually by 34%. We anticipate continued growth in 2023.  Top advertising platforms in 2023   2023 will see increased digital activation, but which platforms will advertisers use to serve their ads?   Advertisers will shift their focus to demand-side, video, and supply-side platforms.  Social media platforms will continue to experience volatility.   Advertisers will place bigger bets on the combination of addressable and CTV.  Our report will also reveal which platforms are creating a path toward a post-cookie future and where data-sharing relationships will become the strongest.  The most popular advertiser audiences trending now in AdTech   Which digital audiences are advertisers buying?   Demographics    Modeled Lifestyles   Behavioral  Custom Audiences   Traditional targeting methods like Demographics and Modeled Lifestyles are the baseline of many marketing strategies. We predict that we will continue to see marketers activate against these data sets.  Digital audience strategies by vertical  Digital audience strategies vary by vertical. Download our report to uncover the digital audiences purchased by advertisers in the following industries:   Financial Services   Health   Retail & CPG   Technology & Communication   Download our new 2025 Digital trends and predictions report Marketers, agencies, and platforms are facing new challenges as privacy regulations evolve, AI technology advances, and consumer behaviors shift. Our latest report highlights actionable strategies for navigating these changes and improving how you connect with audiences, measure impact, and deliver results. What you’ll learn Navigating signal loss: Explore the rise of alternative IDs and contextual targeting as privacy regulations and signal loss reshape data-driven advertising.  Connected TV (CTV): Understand the growth of connected TV (CTV), the importance of frequency capping, and strategies for effective audience activation.  Omnichannel campaigns: Learn how marketers are moving from channel-specific strategies to audience-led omnichannel campaigns that tell a more cohesive story. Retail media networks: Learn how retail media networks (RMNs) are capitalizing on enriched first-party data to learn more about their customers and reach them across on-site and off-site inventory.  Curation: Examine how curation is transforming programmatic campaigns by combining audience, contextual, and supply chain signals to deliver premium inventory packages that maximize addressability, efficiency, and performance. Download now

Advertisers continue to increase their spending across addressable TV, connected TV (CTV), and digital. According to IAB's "2021 Video Ad Spend and 2022 Outlook" report, digital video ad spending is expected to increase by 26% to $49.2 billion in 2022. Understanding who consumers are and how to best reach them in their preferred channel is becoming more complex. Damian Amitin and Colleen Dawe discuss how a seamless identity strategy can address the complexity of the emerging TV space. The evolution of identity resolution Around ten years ago, the idea of digital “identity resolution” or “Device Graphs” was born. This idea connected cookies and MAIDs to understand when many IDs were the same person or household. In more recent years, our industry began to connect that initial understanding to the CTV ecosystem. But, a large part of the TV ecosystem existed in silos, like first and third-party audience data, and the growing advanced TV market. The goal of identity resolution has always been to understand the consumer better. To achieve more accurate targeting and measurement in the CTV ecosystem, we must incorporate the following: What we know about the household and consumer from an ID perspective Who the consumer is as it relates to audience data, as well as the wealth of first-party data in the advanced TV space We know the cookie is a flawed way to collect data. While Google delayed the deprecation of third-party cookies, there are other challenges that we face right now. Such as the glaring gap in Safari traffic and the Identifier for Advertisers (IDFA) turning to “opt-in." Understanding consumer behavior across devices and platforms continues to challenge marketers and publishers. These challenges are creating the need to find more stable identifiers. Though the cookie remains valuable, it has an uncertain future. This has led advertisers to place bigger bets on the combination of addressable and CTV. The overlap in addressable and CTV data leads to fragmentation Personally identifiable information (PII) makes up the majority of addressable TV households' data. Part of the attraction to CTV is that their IDs remain universal, persistent, and stable. Analysts project that CTV ad spending will hit $23B in 2023. Consumers now have an average of 4.7 streaming subscriptions per household. It’s no surprise then, that Disney+, HBO, and Netflix released or announced ad-supported tiers. Addressable TV and CTV are often thought of as distinct markets across the industry. But, in the context of identity, we should look at them through the same lens. Millions of households still consume TV and video content via a set-top box or through apps on CTVs. This is in addition to what they consume on their laptops, tablets, and phones. Of the top 11 cable and satellite providers, 65 million U.S. households still have a box in their homes. On the other hand, approximately 96 million U.S. households have at least one or more Smart TVs and streaming services. With about 126 million total U.S. TV households, that’s a lot of overlap. There are still significant numbers of both addressable and CTV homes. How can we address fragmented TV consumption? Through a holistic and comprehensive approach to identity. An approach that captures addressable TV, CTV, and digital identifiers. An approach that captures all audience attributes inside of a single identity graph. This is the ideal approach for publishers, AdTech vendors, and brands. Discover how to unlock holistic identity How can we achieve a holistic identity? Through a three-pillared approach: First-party data onboarding Digital identifiers Consumer data First-party data onboarding Bringing offline data from a brand’s consumers is very valuable due to the quality of the data. Because the data is being collected right from the source, you know it’s accurate. It provides the foundation you can build your identity strategy from. Digital identifiers Once you create a foundation with first-party data, you need to connect it. Either with an internal or licensed digital ID graph. Then you can understand the connections between all devices within the household. Consumer data After you know which devices tie to a single consumer, you'll want to act on that knowledge. The next step is to partner with a data provider that can help you understand your consumers. Establishing this partnership will help improve targeting, measurement, and the customer experience. To achieve a well-rounded customer view tomorrow, we need to start today The three-pillared approach bridges the gap between the offline and online worlds. This provides a well-rounded view of customers and audiences. However, the ability to tie these aspects of identity together still presents several challenges. To achieve the three-pillared approach today, you need to use many vendors and fragmented data sources. Often with conflicting data. As we look forward, the tools to do this are becoming more advanced and unified. The players in our ecosystem should adopt a seamless identity strategy. One that provides a privacy-safe yet full-picture solution. That means capturing and unifying all devices within a household. While also understanding the consumer behaviors and profiles behind those devices. As TV becomes more sophisticated, our data and services will enable you to unlock a holistic identity. Chris Feo, SVP of Advanced TV and Platforms, spoke with Broadcasting & Cable about how our data powers measurement, audience insights, and results for businesses within the TV space. "As more and more companies enter the general TV space, whether you're a publisher, an advertiser or anyone in between that's doing measurement, insights, analytics, our data or our services will play a role in some part of that value exchange." - Chris Feo, SVP of Advanced TV and Platforms, Experian Marketing Services Keep up with your customers and their data Once we create an informed identity strategy, we can begin to understand the makeup of each household and the individuals within. In this new world, personalizing the experience for an audience is key. Where do they prefer to spend their time? What type of content are they most engaged in? Only then can we as an industry provide an optimal experience for each consumer. All while driving greater ROI for advertisers and publishers. Are you ready to know more about your customers than ever before? Let's get to work together to achieve your marketing goals. Contact us to learn how we can connect the complex dots of identity resolution. About our experts Damian Amitin, VP of Enterprise Partnerships, Experian Marketing Services Damian Amitin is the VP of Enterprise Partnerships and joined Experian during the Tapad acquisition in November 2020. Damian is a senior sales and partnerships executive, specializing in the identity resolution and marketing data ecosystem. Damian helps brands, publishers, and technology vendors enable enhanced ID resolution through The Experian/Tapad platform to attain a 360 view of the customer across targeting analytics, attribution, and personalization. Colleen Dawe, Senior Account Executive, Experian Marketing Services Colleen Dawe is a Senior Account Executive on the Advanced TV Team within Experian Marketing Services. With 15 years of experience working within the television ecosystem, Colleen works with clients to bring the value and expertise of Experian to support their objectives in the areas of data, identity, activation, and measurement.

Over the past two decades, we’ve seen healthcare become increasingly interconnected. Healthcare systems can share a patient's clinical information in a variety of ways. A Pharmacy Benefits Manager can share it through an Electronic Health Record. An MRI scanner can also capture and store patient images on a picture archiving and communication system (PACS). Despite this wealth of information, according to the CDC, 20 million U.S. citizens don’t have access to medical care when they need it. A patient’s well-being should represent more than their clinical data. How can we increase access to care for those individuals? We can look towards non-clinical factors, like the social determinants of health, for answers. Coordinate care for at-risk patients What if you could identify patients who are likely to readmit due to factors outside of their medical conditions? We can use demographic, geographic, and socioeconomic data to discover patients that need greater access to care. The social determinants of health (SDOH) can uncover factors that may increase the burden of disease for some populations. What are the social determinants of health? They are the conditions in the environments where people are born, live, learn, work, play, worship, and age. Think of factors like safe housing, transportation, job opportunities, and education. These conditions can affect a wide range of health, functioning, and quality-of-life outcomes and risks. What insights can the social determinants of health reveal? Experian Health’s Social Determinants of Health solution offers holistic insight into the financial, transportation, and technological barriers individuals may experience. These barriers could hinder their access to care, medication, food, and housing. It's important to find a solution like ours that offers prioritized, proactive suggestions for interventions that help remove or reduce such barriers for improved health outcomes. Our rich household data sets can provide key insights into the SDOH. This data can answer key questions such as: Are there existing populations with housing instability issues? How much price sensitivity do consumers have for medication? Are there markets or locations that have food instability issues? Is transportation an issue that makes it hard for patients to access care facilities? Are there geographic influences that drive or prevent diagnosis and care? In the chart below, we break down the SDOH into five categories. We outline key considerations that offer insights to provide patient-specific context for your caregivers. Finally, we present patient engagement strategies that are SDOH factor-specific and based on best practice interventions and program types.                                 Social determinants of health data in action While much of healthcare focuses on clinical outcomes, our Consumer View data can provide a wealth of insight into a variety of non-clinical factors that can influence quality of care. A profile of core demographics such as age, ethnicity, and gender can uncover new opportunities or highlight areas where engagement does not align with medical research. We can discover patients at-risk for not being able to access essential services utilizing key, social determinants of health and geographic profiling. When combined with core demographics like age, gender, and ethnicity, we can compare any patient population against expected SDOH norms to uncover significant gaps in access to care. Our data shows that: 1 in 12 households have no access to a vehicle 1 in 4 households are sensitive to the cost of medication 1 in 5 households have very low technology sophistication 1 in 7 households live below the federal poverty level Once you have this data, what can you do with it? You can develop an inclusive education and communication campaign with our data-driven content and contact engagement solution. This solution empowers you to pair the perfect messaging styles with the right channels to deliver a personalized experience to broaden your reach. For those individuals who have little access to technology, an email campaign may not reach them. We can identify additional engagement channels like the traditional newspaper, radio, direct mail, or even broadcast TV to determine the best medium to expand your market while increasing access to care. By using decision making styles and engagement channels, together we can reduce the burden of care on the medically underserved. Let’s drive inclusive healthcare together Develop a more holistic view of your patient population while increasing healthcare equity. We can help you use the social determinants of health for actionable care management. Contact us to learn how you can fold this data into your healthcare ecosystem.

Next up in our Ask the Expert series, we hear from Sarah Ilie and Lauren Portell. Sarah and Lauren talk about the internet’s value exchange - what we gain and lose when it’s so easy to share our information. Is convenience hurting or helping us?  The age of connectivity  Today, it’s almost unimaginable to think about how your day-to-day life would look without the convenience of the internet, smartphones, apps, and fitness trackers; the list goes on and on. We live in the age of connectivity. We have the convenience to buy products delivered to our homes on the same day. We can consume content across thousands of platforms. We also have watches or apps that track our health with more granularity than ever before.   The internet's value exchange In exchange for this convenience and information, we must share various kinds of data for these transactions and activities to take place. Websites and apps give you the option to “opt in” and share your data. They also often let you know that they are collecting your data. This can feel like an uncomfortable proposition and an invasion of privacy to many people. What does it mean to opt-in to a website or app’s tracking cookies?  What value do we exchange?  What opting in means for you  Opting in to cookies means that you are allowing the app or website to track your online activity and collect anonymous data that is aggregated for marketing analytics. The data provides valuable information to understand users better to create better online experiences or offer more useful products and content.    Granting access to “tracking” offers several benefits to users such as a customized, more personal user experience or advertising that is more likely to be relevant. For example, let’s imagine you have recently been using an app or website to plan a camping trip. By sharing your data, the website or app has visibility into what is interesting or useful to you which can lead to related content suggestions (best campsites) or relevant advertising and product recommendations (tents and camping equipment).     It’s important to know that the marketing data collected when you opt in is extremely valuable. The revenue that advertising generates is often very important to websites and apps because this is how they make money to continue providing content and services to consumers.     Data privacy practices  Privacy concerns regarding how companies and developers use tracking information have risen over the last couple of years and have resulted in additional protection for consumers’ privacy while still allowing companies to improve their products and advertising. One big step in this direction has been simply making people aware that their data is being collected, why it’s being collected, and providing users with the option to share this data for marketing analytics through opting-in or not.     Other important steps to maintain online privacy include formal legal legislation and self-regulation. The right to privacy is protected by more than 600 laws between individual states and federal legislation and the U.S. House Committee on Energy and Commerce recently voted to pass the American Data Privacy and Protection Act.  Additionally, marketing organizations such as the Interactive Advertising Bureau and Association of National Advertisers regulate themselves with codes of conduct and standards given there is so much attention on privacy issues.    Is the internet's value exchange worth it?  The data that we choose to share by opting in has a lot of benefits for us as consumers. There are laws in place to protect our data and privacy. Of course, it’s important to be aware that data is collected and used for marketing purposes, but it’s also reasonable to share a certain amount of data that translates into benefits for you as well.  The best data unlocks the best marketing. Contact us to tap into the power of the world’s largest consumer database. Learn how you can use Experian Marketing Services' powerful consumer data to learn more about your customers, drive new business, and deliver intelligent interactions across all channels.    Meet the Experts:  Lauren Portell, Account Executive, Advanced TV, Experian Marketing Services  Sarah Ilie, Strategic Partner Manager, Experian Marketing Services