Contextual ad targeting paves the way for new opportunities
Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?
In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:
- The challenges causing marketers to rethink their current strategies
- How contextual advertising addresses signal loss
- Why addressability is more important than ever
- Why good creative is still integral in digital marketing
- Tips for digital ad success
By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.
Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!
Macro impacts affecting marketers
How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?
Jason: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.
Alex: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now!
Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.
Contextual ad targeting: A solution for signal loss
How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?
Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.
As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.
Alex: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:
- The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
- There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
- We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.
Addressability: Connect your campaigns to consumers
How does advanced contextual targeting help marketers reach non-addressable audiences?
Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.
One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.
Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.
Alex: Jason, you described that perfectly. I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.
It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.
Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.
It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.
Turn great creative into measurable data points
Why does good creative still play an integral part in digital advertising success?
Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. Good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.
Alex: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.
Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.
Our recommendations for marketers for 2023 and beyond
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason: Be proactive and start testing and learning these new solutions. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.
Alex: Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.
Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.
We can help you get started with contextual ad targeting
Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.
Find the right marketing mix in 2023
Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:
- New data on the complexity and uncertainty facing marketers
- Consumer trends for 2023
- Recommendations on finding the right channel mix and the right consumers
About our experts
Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.
Alex Johnston, Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.Yieldmo.com.
Latest posts
A few weeks ago, Experian and OpenX hosted a supply-side think tank at our New York City office. Over 70 industry leaders met to talk about targeting in a cookieless future and how we can reach consumers in intentional ways. Publishers and supply-side partners shared what challenges they face, what solutions they’re considering, and what the future holds once the third-party cookie begins to deprecate in 2024. In this blog post, we’ll cover the top challenges, cookieless solutions, and actionable strategies we discussed at the event that can help publishers, their partners, and agencies make informed decisions about how to navigate tomorrow’s digital ecosystem. Four main challenges Four main challenges were discussed at the event: First-party data monetization Publishers possess a wealth of first-party data, but collecting and centralizing this information can be difficult for actionable insights. Streamlining data centralization and organizing first-party data is crucial for effective decision-making. Even with a wealth of first-party data, it's important to be aware of any blind spots in your data and enrich those gaps with data partners rooted in offline connections. “We appreciate the opportunity to participate in the supply-side think tank led by OpenX and Experian, two industry leaders in navigating a cookieless future. We're excited to collaborate with them on testing privacy sandbox APIs, identity resolution products, and audience development tools to enhance creator monetization and support an open internet amidst rapid technological and regulatory shifts.” Patrick McCann, SVP, Research, Raptive Lack of authenticated data and persistent IDs The deprecation of third-party cookies means there will be a shortage of authenticated user data and persistent identifiers. Without this information, targeting and personalization become more challenging. Participants discussed the need to find alternative ways to gather and use personal data responsibly. It’s time to start evaluating data partners who have accurate, multi-source compiled, privacy-compliant data with the dedication to reach and recency. Fragmentation and scale with alternative IDs currently in the market The multitude of alternative identifiers in the market poses a challenge for publishers. Each of these identifiers comes with its own set of rules and integration processes, leading to fragmentation and complexity. Publishers must find ways to navigate this landscape. Look to ID agnostic partners who provide a way to access multiple IDs at scale. “The industry needs a more streamlined standard to integrate alternative IDs, given the ongoing challenges of third-party cookie deprecation, measurement, and clean rooms. This burden falls heavily on product and engineering teams, who must prioritize and address these issues one at a time.” Ryan Boh, Head of Identity, Lockr Time Cookie deprecation is almost here. It is crucial to organize your legal, engineering, and product resources, and align internal go-to-market strategies. Establish partnerships that work with your team to follow these timelines and help build phased or cohesive strategies to prepare for a path to monetization. It is imperative to establish a sense of urgency and not wait for others to take the lead. Start testing now to determine if your infrastructure is ready and capable. Many partners who attended the think tank offered insights on how they’ve been tackling challenges to help their industry peers. Solutions and action plans for a cookieless future Participants discussed ways they are starting to prepare for a cookieless future and other approaches on their roadmaps: Work with data partners heavily rooted in offline data across the ecosystem Enriching your first-party data with partners who rely on offline IDs can help bridge gaps in your audience knowledge. This approach allows you to build a more complete audience profile while third-party cookies are still operational. Experian is rooted in deterministic offline data and has decades of experience managing it safely. We have insights on over 250 million U.S. consumers and 126 million U.S. households. With our digital technology assets, we bring in 4 billion devices and 1 trillion device signals to definitively connect offline records to online identifiers. With Experian identity widespread adoption throughout the industry, we're able to provide a common language for us all to collaborate. Experian identity organizes people into households, links their digital devices and IDs to them, enriches their identity with behavioral attributes, and then makes this data actionable in any environment, all while maintaining consumer privacy and data regulations. “Experian’s supply-side think tank provided a platform for publishers and AdTech companies to discuss the challenges posed by cookie deprecation, privacy regulation updates, and identity restrictions. It highlighted the need for AdTech companies to assist publishers in addressing anonymous users without requiring a value exchange — fostering a mutually beneficial and privacy-compliant open web solution.”Anthony Caccioppoli, Head of AdTech & Solutions, Insider Develop your own persistent ID Creating and maintaining a proprietary persistent ID can be a valuable cookieless solution. It provides control and independence in the new environment post cookie, giving publishers the ability to maintain a consistent user profile. Use your data to expand contextual targeting opportunities Contextual targeting involves placing ads based on the content of the web page rather than user data. In the absence of cookies, this strategy can prove effective in reaching relevant audiences. “The masking or deprecation of IP addresses will eventually impact the availability of addressable IDs in non-authenticated web environments. In addition to ensuring maximum resiliency of our Graph and increasing support for authentication-based IDs, we are also investing in research and development around the use of other signals, such as contextual data, to maintain behavioral targeting inside non-authenticated environments. We will be sharing our findings and future plans in this space in the coming months.”Budi Tanzi, VP, Product, Experian Facilitate a knowledge exchange Reach out to your network to find out what others are testing and what’s working. Start collaborating with agencies and brands across the buy-side to meet their needs. “The collaborative spirit displayed by our partners constantly inspires me. Listening to the obstacles our industry faces allows this community to build strong relationships, create action plans, and deliver true value.”Carly Allcorn, Account Executive, Publisher & Supply-Side Partnerships, Experian Invest in an identity graph Invest in an identity graph provider to sync first-party cookies and addressable IDs. This ensures that your data remains accessible and actionable in a cookieless world. “Many participants at our think tank with Experian expressed the need to find an identity solution while also exploring other ways they can start to address cookie deprecation while maintaining business as usual.” Callie Askenas, Director of Publisher Development, OpenX How Experian and OpenX can help Graph from Experian captures all available digital identifiers in real-time and resolves them back to individuals and households. We’re signal agnostic, continuously expand the IDs we support, and futureproof identity resolution through a combination of deterministic, probabilistic, and cookieless identifiers. Experian is a key player in OpenX’s OpenAudience solution and helps to power many of their data segments as well as their identity graph. While OpenX collaborates with a variety of providers and operates a fully interoperable platform, Experian remains valuable to the core technology within OpenX’s supply-side platform (SSP). Experian can help you prepare for the cookieless future It’s clear that the cookieless future poses some unique challenges for publishers, but there are solutions. Publishers and their supply-side partners can come up with strategies to target consumers in intentional ways by continually testing multiple identifiers and cookieless solutions, developing their own persistent ID, creating velvet rope content, and returning to contextual targeting. Collectively, these actionable strategies can help ensure that publishers have a more successful transition into a cookieless future. Experian has been preparing for signal loss for quite some time and we continue to make substantial investments to ensure our resiliency and the resiliency of our customers. We continue to diversify our signal creating profiles with more persistent identifiers which allows us to pair authentication-based universal identifiers such as UID2 into our Graph seamlessly. Experian is ready and we are here to navigate the future of privacy together. To find out more about how Experian can help you prepare for the cookieless future, get in touch with a member of our team today. Get ready for the cookieless future with Experian Latest posts
Cookies are leaving us, but that doesn’t have to mean performance has to. That’s why Experian is taking the steps needed to future-proof identity in our Graph, including adding Unified ID 2.0 (UID2) from The Trade Desk. Experian currently supports UID2 in our Graph outputs for demand-side platforms (DSPs). UID2 support in our Graph outputs will be available to all approved partners by December 2023. In this blog post, we talk about why cookieless IDs, like UID2, that are coming to market because of cookie deprecation, are important, and how incorporating cookieless IDs into an identity graph can help you prepare for a cookieless future. What are cookieless IDs? Like cookies, cookieless IDs provide you with a comprehensive view of a consumer’s digital activity. Unlike cookies, identity providers produce cookieless IDs, using user-consented data and deterministic and probabilistic data signals (like hashed emails or mobile ad IDs). Cookieless IDs are a newer identifier that allows the advertising industry to maintain our understanding of consumers’ digital actions, helping to ensure we continue to generate smart, data-driven insights, targets, activation strategies, personalized experiences, and measurement and attribution. Why should you incorporate cookieless IDs into an identity graph? Adding cookieless IDs to an identity graph allows for licensees of the graph to: Resolve the universal ID to a consolidated consumer profile and know which other digital IDs tie to the cookieless ID Establish a unified view of the consumer with a privacy-compliant ID Produce data-driven and informed advertising strategies that still drive results, without the use of cookies Experian’s Graph Experian’s Graph is one of the most robust and signal agnostic identity graphs in the market. Experian’s Graph supports most digital IDs, including cookieless IDs, such as ID5, UID2, and Hadron ID. When you license Experian’s Graph, you increase your ability to better understand the different digital IDs that tie to a household or individual. Additionally, with our cookieless ID support, you can continue to understand your consumer and their digital IDs in the cookieless world. Why is it crucial to include UID2 support in Experian's Graph outputs? The Trade Desk is the largest, independent demand-side platform. They’ve created a cookieless ID, UID2, that they hope can power the advertising world to come across the open web. UID2 is an alternative solution to third-party cookies that when utilized in an identity graph, can offer a clearer picture of your consumer, enabling frequency controls and better management, across both digital and connected TV (CTV). Approved DSPs can add UID2s to their Experian Graph, giving them access to one of the more trusted and prominent cookieless IDs in the market today. Additionally, DSPs can use this identifier to decide whether to bid on certain inventory or not, on behalf of their advertiser partner. And, if we hedge our bets, it will only grow in prominence and use. While only available to approved DSPs today for use in the Experian Graph, the forthcoming encrypted UID2 token will provide this capability to the entire ecosystem, which allows us all to speak the same language and operate as efficiently as possible. "We are excited to support UID2, one of the premier IDs to support the future of addressability across the open internet, in the Experian Graph. We continue to see the adoption of UID2 across the demand-side ecosystem, increasing addressability across growing channels like CTV and beyond. I am personally excited to see how this momentum continues to increase over the remainder of 2023 and into 2024."chris feo, svp, sales & partnerships, experian Future-proof your identity strategy with Experian Graph and UID2 We’ve seen the impact that cookies have had on digital advertising and marketing. With the impending third-party cookie deprecation, you will need to adopt alternative cookieless ID solutions such as Unified ID 2.0. Experian is well-positioned to help you navigate this change, offering UID2 support in our Graph outputs for all approved partners by December 2023. Take the right steps now to future-proof your identity strategy and discover lasting success even without cookies. Alongside Experian’s Graph solution, you can achieve resilience in an ever-changing world of digital marketing and advertising. Now is the time to get ready for a cookieless future. Connect with an Experian team member to learn more about our Graph capabilities today. Learn more about Experian's Graph today Latest posts
In this article…How data collaboration is evolving from 2023 to 2024How to create efficient data collaboration strategies We live in a data-driven world, and businesses need effective data collaboration strategies to remain successful. Before you determine your 2023 and 2024 data collaboration options, it’s essential to understand what data collaboration is. In short, it involves sharing and combining data from multiple sources to better understand a customer base and make informed marketing decisions. Read on to learn more about our three-step plan to create new data collaboration strategies, how it’s evolving, and what we do to ensure our solutions help maintain your company’s data privacy. How data collaboration is evolving from 2023 to 2024 Data collaboration strategies continually evolve thanks to changing industry dynamics and new technologies. As we move from 2023 to 2024, we’ll likely see collaboration extending outside businesses, meaning data can be shared with external partnerships in the form of a data ecosystem. A data ecosystem is a platform that combines numerous information points, including packages, algorithms, and cloud-computing services, to allow businesses to store, analyze, and use the data they’ve collected. To ensure you’re ready for 2024 data collaboration, you’ll need to take a forward-thinking approach toward new data strategies. How to create efficient data collaboration strategies Here are our three steps for efficient collaboration to make the most of 2023 data collaboration and prepare for 2024. Identify your collaboration goal What are you hoping to gain from data collaboration? Do you understand the audience you’re trying to target and what you want regarding outcomes? To measure your success, you should set short- and long-term goals surrounding data collaboration in 2023 and 2024. Maximize the value of your data One of the most important reasons to gather data is to discover in-depth insights into your audience and the effectiveness of your marketing efforts. You’ll be able to identify hidden patterns and pinpoint trends you may not have noticed before. With this information, you can make more strategic marketing decisions to stay competitive in your industry. Resolve digital identities Collaborating on data with trusted partners can help you gain a more complete view of your customers by building comprehensive digital profiles. Resolving digital identities can provide greater insight into online and offline behavior of individual consumers, allowing you to better connect with your target audience and boost brand loyalty. Find an alternative to third-party cookies Digital privacy regulations are getting more strict, which is why it’s so important to find more secure alternatives to third-party cookies. By collaborating on data, you can gather essential insights without relying on cookies. This means you’ll still get the information you want while complying with privacy regulations. Choose the right collaboration partner Before you choose a data collaboration partner, it’s essential to ensure their privacy standards align with yours. How do they collect data and use it ethically and responsibly? At Experian, we are dedicated to protecting consumers and delivering responsible and transparent data practices. We focus on five Global Data Principles — security, accuracy, fairness, transparency, and inclusion — to ensure we treat data carefully and respectfully while boosting economic growth and resilience in the marketing environment. When you partner with us for data collaboration, you can trust that your data is protected in a system built for 2023 data collaboration needs — both known and unknown — while still evolving for 2024 and beyond. Choose a secure environment for collaboration Data collaboration security is vital to safeguard your business and consumers’ information. You can make sure your new data collaboration options are protected in several ways. We’ve outlined three options below. Collaboration in clean rooms Clean rooms are secure, private environments where data is shared and analyzed without exposing the underlying raw data. This ensures that sensitive information remains protected and insights are discovered securely. Experian has vetted clean room partners if this is an option you prefer while still getting industry-leading identity resolution. Collaboration directly Collaborating directly with your partner can be a good option if you have robust security measures. Encryption, access controls, and regular audits are essential to maintain data security in direct collaborations. Collaboration with Experian We excel at meeting our clients where they are and accommodating their technical capabilities and how they manage their data. We offer a secure and compliant environment for data collaboration. Our data collaboration solutions are designed to protect your data while enabling deeper insights. At Experian, we understand the importance of data privacy, and our platform reflects our commitment to safeguarding your information. Enable deeper insights and activation with Experian’s data collaboration solution Data collaboration is crucial in today’s business world, and Experian’s solutions are designed to help you bring together your 2023 and 2024 data collaboration strategies securely and efficiently. With Experian, you can unlock deeper insights, resolve digital identities, and confidently navigate the evolving data privacy landscape. If you’re looking for the right partner to enhance data collaboration to drive growth and innovation in your business, you’ll find a secure environment and the right partner with Experian. Contact us today to get started. Contact us Latest posts