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.
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.
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.
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.
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.
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About the author
Kimberley Klevstad
Account Director, Retail, Experian
Kimberley Klevstad is 25-year industry veteran with a wide range of experience driving strategic growth for global accounts across print, online, mobile, location-based and streaming audio platforms. Kimberley is currently a member of the Experian Marketing Services Retail team, advising top retail brands on data and identity strategies that will deepen loyalty and drive acquisition in an increasingly competitive landscape.
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping to lead their brands to new heights in ad tech. Today’s interview is with Jordan Feivelson, VP, Digital Audiences at Webbula. Jordan is a 22-year advertising industry veteran who has worked for media properties such as WebMD and Disney. Over the past ten years, he has transitioned to the data and programmatic space, including growing the data business for Kantar Shopcom and Adstra. What types of advertisers might benefit from utilizing Webbula audiences across various verticals? Can you provide examples of how different industries successfully leverage your data to achieve specific campaign goals? Most advertisers can leverage Webbula’s award-winning attributes for their activation initiatives. Webbula offers approximately 3,000 syndicated segments covering categories such as Demographics, Automotive, Political, Mortgage, B2B, Hobby/Interest/Lifestyle, and Interests & Brand Preferences (brand name targeting). Audience insights and marketing strategies What specific types of audience segments does Webbula provide? How can advertisers leverage these segments to craft more effective, personalized marketing strategies? Webbula has incredible depth and breadth within its verticals, giving marketers the tools to deliver targeted messaging effectively. Our Demographic, B2B, Mortgage, Automotive, and Interest and Brand Preferences segments each contain 500-1,000 segments, all built on deterministic, self-reported, and individually linked data. We ensure the best accuracy with multiple deterministic data points tied to the real world (ex., first name, last name, postal address, and email address). Some examples of our unique syndicated audience types: B2B: A view of the latest industry trends with detailed cuts of the professional world, such as companies with and not within the Fortune 500 companies and job positions that are directors and below. This also includes custom capabilities, including ABM (list of target companies in an activation campaign or by industry code (ex. NAICS, SIC). Interest and Brand Preferences: Consumers who have shown interest and affinity to hundreds of brands (ex., Nike), genres (ex., comedy, hip hop), sports teams, and more. Mortgage: A detailed view of homebuyers’ purchase range, loan type (ex. jumbo loan, standard loan), mortgage amount, interest rate, and more. With Webbula’s audience data, brands can create a comprehensive picture of their audiences down to the individual level and reach them accurately. Data quality, sourcing, and differentiation How is consumer data sourced and curated at Webbula? Are there data quality standards that Webbula establishes for consumer data, and how do you ensure your sources and methods meet these standards consistently? Webbula’s data is aggregated from over 110 trusted and authenticated sources, including publishers, data partners, social media, and more. The data collected comes directly from consumers who self-report information through surveys and other methods. We apply our hygiene filters to mitigate fraud and accurately score the data. Data Collection: The data collected comes directly from consumers who self-report information through surveys, questionnaires, transactions, and sign-ups. This ensures that brands display ads to audiences based on self-identified, cross-channel behaviors, not modeled assumptions. Hygiene Solutions: Webbula applies multi-method hygiene solutions to mitigate fraud and accurately score the data before onboarding, ensuring that all data meets the highest quality standards. Examples of Data Sources: Questionnaires: Self-reported data through surveys, offer submissions, and telemarketing. Transactions: Deterministic data from aftermarket parts, online purchases or services, and more. Sign-ups: Individually linked data from information entered through sweepstakes, infomercials, newsletters, and forms. What differentiates Webbula’s data from other data providers in the market? Can you explain the unique value proposition that Webbula offers in terms of data depth and breadth? Due to our extensive experience in data cleansing, we provide the most accurate data within the programmatic ecosystem. TruthSet, the leading programmatic accuracy measurement company, has ranked Webbula as having the highest number of top attributes compared to other data providers with 150M+ HEMs. Additionally, Publicis Groupe and Neutronian further validate Webbula’s data quality, underscoring its position as a leader in the industry. Webbula’s data stands out in the market due to its unmatched accuracy and quality, achieved through years of expertise in data cleansing. Unlike other providers, Webbula’s foundation lies in its robust email hygiene process, ensuring that all data entering the programmatic ecosystem is thoroughly cleansed. Privacy, compliance, and future-proofing What measures does Webbula take to maintain data privacy and compliance? How do these efforts benefit advertisers in an evolving regulatory landscape and ensure ethical standards? Webbula was created over a decade ago with a future-proof, privacy-compliant foundation. We understand the industry’s rapid changes, including government and state legislation and cookie depreciation. Our goal has always been to build long-term partnerships and ensure we are prepared for industry changes. We rely on validated offline data sources, making us resilient to external influences. Success stories Can you share success stories where advertisers saw significant campaign improvements using Webbula’s data? What were the key factors that contributed to these successes? Our success is measured by client feedback and increased client spend. Webbula has helped several key advertisers achieve six-figure monthly thresholds by providing the most accurate data to meet campaign KPIs. Clients consistently return to use our data, validating our belief that “the proof is in the pudding.” Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Webbula, reach out for a personalized consultation. Contact us Latest posts
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine’s Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext’s custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company’s strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext’s offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext’s Onboarding partnership with Experian, offering perspective on how Kontext’s unique insights can unlock new opportunities for advertisers and brands alike. Latest posts