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.
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In this article…The rise of omnichannel retailingData and identity-related retail marketing challengesStrategies to help you overcome retail marketing challengesExperian can help advance your retail marketing strategies The questions that keep retail marketers up at night have evolved significantly over the last decade. It wasn’t long ago that marketers would spend their time debating which highway to place their billboard on, whether or not their next TV commercial should be comical or heart-tugging, or even what the optimal time of day was to blast an email campaign to their entire customer list. In 2024, retail marketing has new challenges on the radar. The rise of omnichannel retailing The modern, digital-savvy customer expects a flawless and interconnected shopping experience across touchpoints — one of the many reasons omnichannel marketing is on the rise. Research shows that over half of B2C consumers engage with between three and five channels whenever they make a purchase. For businesses, omnichannel engagement is a lucrative opportunity; McKinsey reports that customers who engage across channels shop nearly twice as much as those using a single channel and usually spend more money. However, the rise in omnichannel engagement also presents several retail marketing challenges, such as the complexity of managing vast amounts of data and piecing together an accurate picture of consumer behavior. Data and identity-related retail marketing challenges Today’s data-driven environment has turned the retail marketing landscape on its head, and businesses have a whole new set of struggles that revolve around identity and data. We identified the top five retail marketing challenges and how to solve them. 1. Knowing what data to capture In the omnichannel era, online and offline data is abundant. When a customer shops at a physical store, they create data points like: What items they purchased What time they visited How long they were there When the same customer shops online, they create a whole new set of data points, such as: What device they used Which items they browsed but didn’t purchase How long they spent on specific pages The vast available data can overwhelm retailers and make it a challenge to determine which data points to prioritize. Start by identifying the challenge you’re addressing. By defining your problem, you can better decide which data is most relevant. For instance, if you’re optimizing the timing of incentives, analyze when customers shop most frequently and customize offers based on individual behavior patterns. How Experian’s Activity Feed can help Experian Activity Feed connects online and offline data to promote precise targeting and measurement across mobile, web, connected TV (CTV), and more. We provide addressable insights that work across all channels by integrating real-time device IDs, cookies, and IP addresses. Our case study with Cuebiq, found here, discusses how we used Activity Feed to deliver in-store lift analyses to Cuebiq’s clients. Because our impressive breadth of addressable data works across channels, we’re perfectly positioned to be your comprehensive identity solution, as we’re capable of addressing the entire U.S. population. With access to over 250 behavioral and demographic attributes per individual, our data fills in audience gaps to help you create a complete customer profile. 2. Understanding customer behavior The complexity of modern consumer behavior is growing, and one of the biggest retail marketing challenges is merging all this information into a single unified customer view. With consumers moving seamlessly between devices like tablets, mobile phones, and laptops, retailers face the grueling task of keeping up with their fragmented journey. For instance, a customer may spot a pair of shoes in-store, add them to their cart via mobile due to long cashier lines, and finish the purchase later from their laptop. However, if they cannot be recognized across these touchpoints, they may abandon the purchase out of frustration. Retailers need solutions that link offline customer relationship management (CRM) and purchase data with a customer's online activity, regardless of channel or device. This is where Experian identity resolution and Graph come into play. How Experian’s Graph and identity resolution can help Experian’s identity solutions help brands resolve disparate data by merging fragmented identifiers into a singular customer profile for a 360-degree view. We ensure each touchpoint is connected, whether the interaction happens online or offline, across mobile apps, or in-store. This enables retailers to recognize the same customer across various devices and enhances the customer experience by keeping items in their cart and personalizing their journey across platforms. With Experian’s identity graph, brands can further enrich these customer profiles with digital identifiers that span hashed emails (HEMs), cookies, mobile device IDs (MAIDs), IP addresses, universal IDs, and CTV IDs to create a more accurate, actionable view of consumer behavior. We rebuild the graph weekly, which ensures persistent and refreshed connections between households, individuals, and their devices. This ongoing linkage allows for precise targeting and measurement over time and aligns with privacy standards and compliance obligations. By organizing identity into households and device IDs and enriching them with marketing data, brands can gain deeper customer insights, addressability across devices, and the ability to measure the impact of their retail marketing strategies. 3. Building trust between consumers and your brand Trust is the foundation of online relationships, and consumers who trust your brand are likelier to share their data. To establish this trust, retailers must collect customer data transparently and respectfully. According to Experian data, 80% of consumers believe more transparency around the use of their information fosters greater trust in a business. Additionally, the same data revealed that 56% of companies plan to invest more in transparency initiatives, such as consumer education, clearer terms of communication, and consumer control over personal data. Experian’s commitment to data accuracy and transparency further strengthens this trust. Our data is ranked #1 in accuracy by Truthset, which means you can power smarter insights, targeting, and measurement using the highest-rated, most reliable data to build customer profiles. 4. Establishing customer loyalty with retail marketing Today’s consumer has many opportunities and choices available at their fingertips, which makes it harder for retailers to build and maintain customer loyalty. Signal loss and the rise of omnichannel media consumption have made it even more of a challenge to keep loyal customers. By using data and insights to interact with people more meaningfully, you can overcome these difficulties to provide a more personalized, relevant experience and establish loyalty. Experian’s new Digital Graph and Marketing Attributes solution makes it easier to do just that. Experian’s Digital Graph and Marketing Attributes solution Using our Digital Graph and Marketing Attributes, you can gain comprehensive insights into consumer behavior by combining offline and digital data through our Living Unit ID (LUID). Our Digital Graph provides robust digital identifiers like MAIDs, CTV IDs, HEMs, and universal IDs, while our Marketing Attributes offer detailed consumer insights spanning age, gender, purchase behaviors, and content consumption habits. With this data, you can create relevant messaging and informed audience segmentation to enhance your personalization and targeting efforts across all digital channels. Using our solution can help you deliver what customers need when they need it — like winter gear before a ski trip or swimwear before a beach vacation. These personalized experiences drive additional revenue and build lasting relationships that keep customers coming back, establishing a strong foundation of loyalty in an increasingly competitive market. 5. Finding your technology solution Retailers need to integrate technology to make their data actionable and use it to streamline the customer experience. They need to integrate data storage platforms with fulfillment and reporting solutions, such as email service providers, display networks, and marketing intelligence tools. Whether retailers are exploring the industry or gearing up to make a substantial investment in the right technology partner, it’s vital to ensure you evaluate potential partners equally and consistently. Experian works with major platforms, marketers, and agencies, meaning we have existing partnerships across the ecosystem for you to connect with that can bring your consumer data to life and meet your needs. Our offline and digital graphs are baked into partner integrations so customers can achieve higher match rates that improve addressability. Strategies to help you overcome retail marketing challenges When it comes to modern retail marketing, you’ll need to take a strategic approach to handle emerging challenges. Here are five retail trends of 2024 to consider integrating into your retail marketing strategy: Use predictive analytics: Data can be overwhelming, but you can analyze historical purchase patterns to capture and prioritize the most relevant data for your retail marketing efforts. Optimize omnichannel campaigns: Cross-channel data integration can help you ensure consistent messaging, provide a seamless experience, capture a unified view of customer interactions, and improve engagement. Personalize experiences with AI: Utilize AI data capture across touchpoints to create personalized recommendations and tailored experiences that resonate with individual customer preferences and behaviors. Adopt dynamic pricing: Use real-time data to adjust prices based on customer behavior and market conditions so your pricing strategies align with current demand and maximize revenue. Invest in customer experience tech: Virtual fitting rooms, augmented reality, and other advanced technologies allow customers to engage with your brand across platforms, which can improve their shopping experience. Utilize Experian’s retail media network (RMN) solution Experian’s solution for RMNs is another tool for overcoming retail marketing challenges. We empower RMNs to better understand their customers with unified views of online and offline behavior across channels and extend their reach across environments. Using our top-ranked identity and audience services, we can help RMNs access expanded customer insights, enhance cross-channel audience targeting, and improve real-time measurement and attribution to enable precise, streamlined, personalized omnichannel campaigns. Our solution’s integration with major platforms improves data match rates and addressability so retailers can overcome data fragmentation and optimize their retail marketing strategies. Experian can help advance your retail marketing strategies Experian can help retailers effectively use data and insights to interact with customers and prospects meaningfully. Our data and identity solutions help you deliver relevant, impactful messaging to ensure the customer who puts shoes in the cart at the store is the same customer who wants to finalize their transaction later that evening online. As the holiday season approaches, it’s time to refine your retail marketing strategies and connect authentically with shoppers. With over a billion consumers preparing to shop, Experian offers 19 new syndicated audiences available for activation across major ad platforms, including TV and programmatic, to help you reach the most relevant prospects. Whether you’re targeting discount seekers, last-minute gift-buyers, or frequent travelers, our audiences align with diverse shopping styles and preferences. Choosing the right audience segments aligns your holiday marketing efforts with consumer expectations and maximizes impact. With our tools, you can seamlessly connect with the same customer across various channels, whether they’re shopping in-store or online. Embrace the holiday season confidently, and let Experian help your retail marketing strategy shine. Get started with us today Latest posts
The holiday season is almost here, and knowing how each generation plans to shop can give your holiday advertising campaigns the edge you need. Our recent survey of 1,000 U.S. consumers reveals 2024 holiday shopping trends for each generation and key insights into their anticipated spending levels, preferred shopping categories, and how they look for gift ideas. In this blog post, we'll explore three 2024 holiday shopping trends across generations: Projected consumer spending Top categories on shoppers' lists Preferred channels for researching gifts 1. Projected consumer spending Over 1 in 3 Gen Z and Millennials are gearing up to increase their holiday budgets this year, while Gen X and Boomers are likelier to stick to last year's budget. 36% of Millennials and Gen Z plan to spend more this holiday season 45% of Gen X and 52% of Boomers expect their spending to remain consistent with last year What this means for marketers These insights highlight the importance of tailoring your messaging. For Gen Z and Millennials, emphasize value and unique offerings that justify increased spending. For Gen X and Boomers, focus on trust and reliability, reinforcing their confidence in your brand. How Experian can help you target these audiences Experian’s custom and syndicated audience segments, including Holiday Shopper High Spenders and Holiday Shopper Moderate Spenders, enable you to connect with these diverse consumer groups. Our audiences are available on-the-shelf of leading ad platforms to help you reach people across social, TV, and mobile. The election effect U.S. holiday retail sales saw 4.1% YoY growth in 2016 and 8.3% YoY growth in 2020 following presidential elections. There’s a chance that holiday spending increases after the 2024 election, regardless of the outcome. Experian has 240+ politically relevant audiences that you can activate across major ad platforms ahead of the upcoming election. 2. Top categories on shoppers' lists Different generations have distinct preferences when it comes to what they plan to buy. Gift cards top the list for Gen X and Boomers, while Gen Z leans toward clothing. Millennials are looking to splurge on toys, electronics, and experiences. 69% of Boomers and Gen X plan to purchase gift cards 72% of Gen Z will buy clothing 45% of Millennials will buy health and beauty items 25% of Millennials will buy tickets and 22% of Millennials will buy experiences What this means for marketers Align your product offerings and promotions with each generation's preferences to capture their attention. For example, highlighting versatile gift cards may resonate more with older generations, while showcasing trendy apparel and tech gadgets will appeal to younger consumers. How Experian can help you target these shoppers We offer audience segments like Holiday Shoppers: Apparel, Cosmetics & Beauty Spenders, and Toys Shoppers that you can activate to connect with consumers primed to purchase in these categories. We recently released 19 new holiday shopping audiences we recommend targeting to drive engagement and conversions. Download our audience recommendations here. 3. Preferred channels for researching gift ideas When it comes to finding the perfect gifts, Gen Z turns to social media, while Millennials prefer online reviews and video content. Boomers and Gen X are more inclined to visit physical stores for hands-on product evaluations. 29% of Gen Z and 26% of Millennials will look for gift ideas on social media 44% of Millennials will rely on video reviews and product demos on platforms like YouTube 49% of Gen X and Boomers plan to visit physical stores to evaluate products in person What this means for marketers Understanding where each generation looks for inspiration can guide your content and ad placement strategy. To engage Gen Z, focus on social media campaigns and influencer partnerships. For Millennials, consider investing in video content and reviews. For older generations, ensure your in-store experience is optimized to convert browsing into purchases. How Experian can help you engage these shoppers Our TrueTouchTM audiences can help you pair the perfect messaging styles with the right channels and calls to action. Our Social media channel and content engagement audiences can help you reach Gen Z who are likely to be active users on major social platforms and are Black Friday shoppers. For a full list of Experian’s syndicated audiences and activation destinations, download our syndicated audiences guide. Download our report for five 2024 holiday shopping trends by generation Understanding 2024 holiday shopping trends by generation can help you tailor your targeting, messaging, media planning, and creative based on the generation you’re targeting. In addition to the insights covered here, download our 2024 Holiday spending trends and insights report to learn: When consumers plan to shop (hint: they're already shopping) Where they plan to shop (online vs. in-store) Download our full report to access all five of our predictions by generation, so you can address the diverse needs of this year's holiday shoppers. Download now When you work with Experian for your holiday shopping campaigns, you’re getting: Accurate consumer insights: Better understand your customers’ behavioral and demographic attributes with our #1 ranked data covering the full U.S. population. Signal-agnostic identity solutions: Our deep understanding of people in the offline and digital worlds provides you with a persistent linkage of personally identifiable information (PII) data and digital IDs, ensuring you accurate cross-device targeting, addressability and measurement. Secure connectivity: Bring data and identity to life in a way that meets your needs by securely sharing data between partners, utilizing the integrations we have across the ecosystem, and using our marketing data in flexible ways. Make the most of this holiday shopping season with Experian. Contact us today to get started. Contact us Source Online survey conducted in June, 2024 among n=1,000 U.S. adults 18+. Sample balanced to look like the general population on key demographics (age, gender, household income, ethnicity, and region). Latest posts
Today, Experian is excited to introduce our Offline Graph as a standalone product that clients can license, marking a significant step in our commitment to powering data-driven advertising through connectivity. Offline Graph empowers advertisers and advertising technology companies to build and refine consumer profiles, contributing to data connectivity, more offline audience reach, and improved offline measurement accuracy. As a result of consumers engaging with content across more channels, there are more disparate data points than ever before. When you couple that with ongoing signal loss, the need for a unified identity solution has never been greater. Experian’s Offline Graph offers companies a license of stable offline data points, like name, address, phone number, email, geographic information, date of birth, and additional attributes that provide a complete view of household and individual identities. The Offline Graph integrates known offline identity information from reliable deterministic sources like property ownership records, public records, and marketing data to provide access to all United States consumers and households. How customers can use the Offline Graph A big box retailer fills in the blanks of their existing customer data and builds a database of prospects. A media platform more effectively onboards advertisers’ segments, enabling advertisers to reach more of their customers. A retail brand better understands their customer’s demographic and behavioral make-up, by licensing Offline Graph with Marketing Attributes. A connected TV (CTV) manufacturer increases audience reach and accurately quantifies the campaign impact for their advertising partners. Experian’s Offline Graph is already driving value across industries. Here’s some in-depth client success stories: Fusion92 licenses Offline Graph to help their clients transform their marketing Fusion92 is a marketing partner that fuels business transformation in today’s digital economy and delivers exponential returns for brands. Fusion92 licenses Experian’s Offline Graph to power their strategy: from research and discovery to audience creation, activation, and measurement. With access to our Offline Graph, Fusion92 ensures their clients get the insights, targeting, reach, and measurement they need to achieve their business goals. "At Fusion92, we are always pushing the envelope to develop solutions that lead to success for our clients. Our desire to innovate pushed us to find an industry-leading partner in data and identity. This led to us licensing Experian’s Offline Graph product, which we use to build more complete audience profiles for our clients. In doing so, we help brands target, activate, and measure their marketing campaigns more effectively, leading to superior results.”dave nugent, executive vice president of data and analytics, fusion92 Using Offline Graph to deliver relevant messaging to multiple audience cohorts A leading direct-to-consumer (DTC) company with strong customer relationships built a robust first-party data set, enabling effective customer retention. To attract new customers, they partnered with Experian to access offline identity data from Experian’s Offline Graph. The Offline Graph provides them with the data needed to validate their first-party data and with the keys to unlock new customers. With this data, the DTC company delivered the right message to both sets of consumers: existing customers and new prospects. By integrating Experian’s Offline Graph they broadened their reach, personalized their messaging, and improved their marketing. What sets Experian’s Offline Graph apart from the competition Stability of data: With data from deterministic sources, our Offline Graph ensures that your view of consumers – and your ability to connect with them – is stable over time. Connected digital and offline data: Seamlessly connect offline data with digital identifiers through our Digital Graph, enabling a holistic approach to marketing, while ensuring consumer privacy is prioritized. Tailor made for your use cases: Build the Offline Graph to fit your specific needs, selecting the exact offline identity information required for your campaigns. Expanded consumer insights: Connect more data points to enrich your understanding of consumer demographics and behavior, using Experian’s Marketing Attributes and Audiences data. Offline Graph: Your gateway to consumer connectivity As signals fade, there is a large emphasis on procuring and having accurate consumer data. Experian’s Offline Graph delivers the connectivity and insights necessary to stay ahead. Whether you aim to strengthen your existing data or access entirely new data sets, Experian’s Offline Graph offers a solution tailored to your needs. Transform your data strategy with Experian’s Offline Graph — your gateway to a unified consumer identity solution. Get started today Latest posts