Contextual ad targeting paves the way for new opportunities
Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?
In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:
- The challenges causing marketers to rethink their current strategies
- How contextual advertising addresses signal loss
- Why addressability is more important than ever
- Why good creative is still integral in digital marketing
- Tips for digital ad success
By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.
Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!
Macro impacts affecting marketers
How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?
Jason: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.
Alex: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now!
Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.
Contextual ad targeting: A solution for signal loss
How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?
Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.
As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.
Alex: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:
- The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
- There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
- We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.
Addressability: Connect your campaigns to consumers
How does advanced contextual targeting help marketers reach non-addressable audiences?
Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.
One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.
Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.
Alex: Jason, you described that perfectly. I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.
It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.
Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.
It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.
Turn great creative into measurable data points
Why does good creative still play an integral part in digital advertising success?
Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. Good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.
Alex: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.
Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.
Our recommendations for marketers for 2023 and beyond
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason: Be proactive and start testing and learning these new solutions. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.
Alex: Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.
Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.
We can help you get started with contextual ad targeting
Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.
Find the right marketing mix in 2023
Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:
- New data on the complexity and uncertainty facing marketers
- Consumer trends for 2023
- Recommendations on finding the right channel mix and the right consumers
Get in touch
About our experts
Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.
Alex Johnston, Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.Yieldmo.com.
Latest posts
Traditional audience signals are fading, and the industry is facing a new reality: identity is no longer just about connectivity, it’s about outcomes. At Cannes Lions 2025, leaders from AdRoll, LG Ad Solutions, Magnite, MiQ, OpenAP, PubMatic, Stirista, Tatari shared how innovative identity approaches are cutting through the noise, improving performance, and delivering real ROI. Their insights reveal a clear path forward for those ready to turn identity into a performance driver. Here’s how you can apply the same principles to drive performance. 1. Make identity a performance engine Treating identity as a performance driver leads to measurable results by creating a clear connection between marketing efforts and outcomes. Identity resolution enables the effective retargeting of audiences, accurate performance attribution across connected TV (CTV), and personalized campaigns across multiple channels. By building household-level graphs and incorporating alternative identifiers, marketers can maintain accuracy as traditional signals change. Activating first-party data across both digital and offline channels ensures that every interaction, whether on-screen or in-store, can be tied back to specific actions, helping optimize campaigns, and improve ROI. How Experian helps Experian’s Consumer Sync solutions create a clean foundation and persistent identity spine by resolving and expanding your first-party data across digital and offline IDs (hashed emails, mobile ad IDs, CTV IDs). This enables activation across omnichannel campaigns, from CTV to social, and connects data to outcomes. \”Identity resolution is very important to our overall strategy today. Without that identity linkage, we couldn’t speak the same language as our clients. For example, a client might want to target people who engaged with their brand’s website four days ago via CRM data. Without identity resolution, that’s not possible. But with it, we’re changing the narrative – making TV a hospitable place for deploying first-party data and driving outcomes.\”Mike Brooks 2. Build trust through responsible data practices Consumer trust begins with responsible data practices that prioritize transparency and privacy. Deterministic match rates ensure accuracy by connecting data points with confidence, while clear methodologies provide visibility into how data is used. These practices improve overall campaign performance and protect consumer privacy by ensuring that every interaction is respectful. How Experian helps Experian’s privacy-first approach ensures that all data activation occurs with compliance and consent. By maintaining high match rates and adhering to transparent methodologies, Experian helps build trust and strengthen long-term connections with audiences. \”If people don\’t take any precautions and they don\’t actually care about data in the public, they probably don\’t care about it in private. Experian cares about data privacy and compliance, and that made it a no-brainer for us to work with them. When we combined our focus on privacy with Experian’s expertise, we knew we had to do it right – and we did.\”Henry Olawoye 3. Expand reach while maintaining high match rates Having more data points to identify individuals leads to higher match rates and broader reach. Enriching records with additional identifiers, like hashed emails, MAIDs, and CTV IDs, makes it easier to connect data across channels and create a unified view of each person. This approach ensures that campaigns can scale effectively while maintaining the accuracy needed to deliver personalized experiences. How Experian helps With a database of over 5,000 attributes spanning 15 verticals and categories, Experian provides a comprehensive view of consumers through a single provider. By sourcing data from over 200 sources (including public records, consumer surveys, and purchase records), Experian enables the creation of detailed audience profiles. This enriched data focuses on identity, creating a unified view of individuals that helps pinpoint the best opportunities to engage effectively across channels and deliver measurable outcomes tailored to specific audience needs. \”We’ve been able to extend our IDs by an average of 6.5 different identifiers, with a 70% match rate. That extension is huge – it underpins a lot of the connectivity in our platform and allows us to bring 300 data feeds together to make the most of them.\”Georgiana Haig 4. Create unified campaigns with interoperability Fragmented data often leads to fragmented results. Interoperability ensures that data from different platforms and systems can work together, creating a unified view that makes measurement and attribution more actionable. How Experian helps Experian simplifies interoperability by ensuring consistent data usage from activation and measurement. By connecting data from various sources, Experian enables a cohesive strategy where insights can be shared across publishers, measurement providers, and ad servers, ensuring campaigns remain aligned and effective at every stage. \”The ecosystem benefits from optimized interoperability. We’re focused on allowing advertisers to work seamlessly across IDs and identity solutions – from activation to resolution – so the same data set is used consistently across publishers, measurement providers, currencies, programmatic ecosystems, and ad servers.\”Chris LoRusso 5. Use AI to amplify, not replace, strategy Artificial intelligence (AI) is transforming how campaigns are optimized, but its success depends on clean, consented identity foundations. AI can analyze vast amounts of data to refine targeting, manage frequency, and uncover new efficiencies, but only when built on a strong identity framework. How Experian helps Experian uses AI and machine learning to deliver highly personalized marketing solutions. Advanced clustering algorithms in Experian’s Digital Graph analyze and create household and individual device connections, improving targeting and measurement accuracy, while machine learning models improve consumer insights by inferring household composition where data is limited. These innovations enable AI tools to quickly generate tailored audience solutions, analyze contextual signals in real time, and identify opportunities that improve results while maintaining a human centered approach to decision making. \”AI is a copilot to your marketing initiatives. For it to perform, it needs insights and information to learn from. That’s why having a strong foundational data asset rooted in deterministic data is so important.\”Howard Luks Five moves to turn identity into profit Here are five steps to get started: 1. Audit your data health Make sure your audience data is accurate, up-to-date, and complete so you’re starting from a strong foundation. 2. Layer in more context Enrich your records with details, like lifestyle, interests, or buying behaviors, that help you speak your audience’s language. 3. Unify touchpoints across channels Link your data so you can see the same person or household whether they’re engaging on CTV, mobile, desktop, in-store, or through other touchpoints. 4. Activate AI for stronger campaigns Use AI tools to fine-tune targeting, control ad frequency, and find hidden opportunities once your foundation is solid. 5. Align data across systems Ensure interoperability so data from different platforms and systems can work together, creating a unified view for actionable insights. The common thread across these insights is connection: connecting data, teams, and outcomes. Marketers who act on these imperatives will be ready for whatever new channel, format, or privacy rule comes next. Let’s start a conversation about how Experian can help you turn identity into ROI Latest posts
Audigent, a part of Experian, now offers turnkey, outcome-driven deals for brands through Amazon DSP, expanding advertisers’ options for advertising across the open internet. While buyers continue to activate through established supply paths with Amazon DSP, this collaboration introduces sell-side curation that expands data access and reduces overall buyer costs. Three paths to activation With Audigent\’s curation services now available through Amazon DSP, buyers have streamlined access to premium open-internet inventory and measurable results. Advertisers now have three simple ways to build or tap into curated deals: Off-the-shelf deals in Inventory Hub on Amazon DSP Buyers can access hundreds of pre-built curated deals, each designed to align with common campaign goals and accelerate time to market. Custom deal libraries built around KPIs Advertisers can work directly with Audigent and Amazon Ads to build tailored deal libraries that reflect their unique performance objectives. SimplePMP with AI-driven intelligence Audigent\’s proprietary AI technology powers its SimplePMP product, offering advertisers sophisticated segment recommendations to identify relevant audiences and inventory with enhanced accuracy. Data that drives performance Turnkey curation only works if the data behind it is immediate, precise, and actionable. With Audigent providing curation via Amazon DSP, each deal fuses premium, real-world signals with hand-picked inventory so every impression can move the needle. How turnkey curation works Here are three ready-made examples to spark ideas 1. Weather in real time When the temperature climbs above 85°F, a beverage brand’s “Hot-Day Hydration” creative can launch automatically. Twenty-four hours before a heavy-rain forecast, big-box retailers can push “Storm-Ready Supplies” for generators and batteries. Weather-triggered audiences from The Weather Company mean you buy only when conditions drive demand. 2. Moments that matter to fans Live Nation ticket-purchase signals that pinpoint two peak travel-booking windows—right after fans secure out-of-town concert or game tickets and again during the week leading up to the event—so airlines, online travel agencies, and hotels can serve timely seat-sale or last-minute lodging offers when intent (and conversion rates) are highest. 3. Intent you can see Bombora B2B signals surface companies researching topics like “zero-trust security” or “cloud cost reduction.” A cybersecurity SaaS can reach those accounts with demo ads, and an office-furniture brand can court firms exploring “hybrid-workspace redesign.” Media spend zeroes in on buyers already in-market. A customer-centric approach Audigent delivers turnkey, customer-centric solutions across the open internet through Amazon DSP, prioritizing quality over quantity through premium web inventory. As buyers and sellers embrace more direct, transparent, and addressable supply paths, this streamlined approach boosts efficiency and drives meaningful outcomes for brands. Interested in trying this new path with Amazon Ads and Audigent? Email: audigent_sales@experian.com. What\’s next? Audigent is committed to enhancing our curation services available through Amazon DSP. We\’re focusing on: Expanding our suite of turnkey solutions to address evolving advertiser needs in the open internet space Developing new data-driven insights to further refine audience segmentation and inventory selection Continuously improving our technology to deliver even greater value and efficiency for advertisers As the advertising landscape evolves, Audigent will continue to innovate, ensuring our offerings complement and enhance the capabilities available through Amazon DSP. Ready to cut supply path costs? Connect with us to design your first curated library Latest posts
Marketers aren’t thinking in channels anymore: they’re thinking in audiences. As consumer media habits have scattered across devices, platforms and formats, brands have shifted their focus from managing one channel at a time to delivering a connected experience. That’s the core of omnichannel marketing: meeting people where they are and making each touchpoint feel like part of a larger narrative. However, most brands still encounter the same roadblocks: siloed data, fragmented planning and tools that don’t integrate. And while the industry talks a great deal about omnichannel marketing, few are actually doing it well. The brands that figure it out won’t just reach more people; they’ll improve brand perception while improving the customer journey, achieving better outcomes, and optimizing their media spend more efficiently. Learn more about this trend in our 2025 Digital trends and predictions report. Learn more Why omnichannel is no longer optional Omnichannel marketing has long been a goal, but recent shifts in media and technology now make it a necessity. According to Forrester, 21% of global B2C business and tech professionals identified enhancing omnichannel or cross-channel customer experiences as a top priority for their organization today. Connected TV (CTV) and commerce media networks are emerging as dominant channels, necessitating the coordination of messaging across an expanding ecosystem of streaming, programmatic display, and commerce-driven environments in addition to the multitude of other addressable (and non-addressable) channels. Fortunately, identity solutions continue to evolve, enabling marketers to maintain audience addressability in digital channels even as traditional signals decline and privacy regulations intensify. Consumers expect this kind of cohesion. They don’t see “channels\” – they just see a brand. A member of your loyalty program might browse a product online, see the exact item later on their socials, and then receive an email offer. If those messages feel disconnected or out of sync, this will not be a good customer experience, and a brand risks wasting impressions and losing conversions. Omnichannel isn’t about showing up in more places. It’s about showing up with a consistent message. The opportunities inherent in true omnichannel execution Despite the industry’s movement toward omnichannel marketing strategies, there are a few untapped opportunities brands would benefit from pursuing. Break down planning silos to optimize performance Many marketers still plan and measure media in silos: programmatic display, CTV, commerce media, search, social, email, SMS, and each might have their own budgets, strategies, and KPIs. This disjointed approach leads to inconsistent messaging, inefficient spend, and overexposure or underexposure to key audiences. The opportunity? Shift toward integrated media planning and measurement. By aligning teams and KPIs across channels, marketers can optimize frequency, coordinate creative sequencing, and better attribute business outcomes. Breaking down internal silos improves the customer experience and drives more effective performance. With two-thirds of North American CMOs naming siloed data as their biggest obstacle, those who solve it stand to gain a clear advantage. Encourage interoperability to activate audiences consistently Omnichannel success depends on defining an audience once and reaching them everywhere. But in today’s ecosystem, where walled gardens control inventory and many tools remain disjointed, this is easier said than done. Just under a third of marketers say the tools they use don’t work well together. The opportunity? Invest in interoperable systems that give you control over your data and privacy-safe solutions like clean rooms or universal IDs that enable consistent audience activation across platforms. Advocate for a unified identity framework Audience data remains fragmented: commerce media networks control shopper data, TV platforms hold viewership data, and walled gardens provide limited data transparency and determine which data they will share, making it difficult to recognize, reach, and follow the customer journey across digital touchpoints. Without a unified view, campaigns remain disconnected and cross-channel attribution is difficult. The opportunity? Advocate for a centralized, privacy-conscious identity framework that bridges fragmented data sources. This would allow marketers to recognize consumers across platforms and deliver cohesive messaging. Marketers need solutions that enable connected audience activation while respecting privacy requirements and platform-specific constraints. Without this, omnichannel remains an aspiration rather than a reality. Data and identity: The tools you need in your toolkit to make omnichannel work Implementing omnichannel right starts with establishing identity. Brands need a foundation that lets them connect the dots: across data, platforms and channels. Here’s how: Build a unified identity foundation “A single view of the customer is the foundation of a successful omnichannel program,” says Forrester in a December 2023 report on omnichannel. This begins by connecting disparate data sources, including persistent offline information, such as addresses, emails, names, and phone numbers, with digital signals, in a privacy compliant way. And this, in turn, creates a strong identity foundation. Solutions that integrate hashed email addresses (HEMs), mobile ad IDs (MAIDs), IP addresses, CTV IDs, and universal IDs enable brands to resolve customer identities across different platforms, ensuring that campaigns remain addressable as users transition between channels. Activate audiences everywhere, without the hassle Brands should be able to define an audience once and activate it across all addressable channels without unnecessary complexity. Interoperability between demand-side platforms (DSPs), supply-side platforms (SSPs), clean rooms, and private marketplaces (PMPs) ensures that high-quality audiences are matched with premium inventory in a targeted, transparent, and efficient manner. This connectivity helps maintain consistent audience targeting—even as consumers engage in different environments. By working with a partner that seamlessly integrates with major platforms, marketers ensure that data quality and identity resolution remain intact throughout campaigns, avoiding data loss that occurs when data is transferred between different, disparate platforms. Measure across channels, and the customer journey Effective omnichannel marketing isn’t just about reaching audiences—it’s about understanding how different touchpoints contribute to conversions. Advanced attribution models, incrementality testing, and cross-platform frequency management enable brands to use consistent identity across campaign planning, activation and measurement so they connect ad exposures to real-world outcomes. Achieving this requires a strong identity resolution partner—one that can unify audience data across environments and power accurate, privacy-compliant measurement at scale. The future of omnichannel marketing Omnichannel is becoming the baseline expectation for modern marketing. The brands that figure out how to connect the dots across the increasingly disparate media landscape will drive better performance and build stronger customer relationships. By working with a partner that can offer you an end-to-end data and identity solution focused on consumers, not channels, you can better understand your best customers (and your next customers), reach them across channels, and measure cross-channel campaigns more effectively, making true omnichannel execution more achievable. Get started today Latest posts