In this article…
As the days get longer and the weather warms up, spring’s revitalizing energy naturally leads to realignment. For marketers, it’s the perfect moment to reevaluate strategy, especially as consumer behavior changes ahead of summer and brings a renewed interest in travel, outdoor activities, and social events. Making seasonal adjustments to your marketing strategy helps you adapt to these shifting behaviors, capitalize on 2025 marketing trends, and keep your brand relevant year-round.
When it comes to your marketing strategy, spring cleaning means clearing out outdated tactics, optimizing what works, and making room for smarter, more connected solutions. Take the time to ask yourself questions like:
- Are our audiences still relevant?
- Are we activating our data across the right channels?
- Are we collaborating with the right partners and using the right data clean room providers?
If there’s room for improvement, now is the best time to audit, refine, and refresh your marketing strategy before the high-stakes summer and winter seasons. With identity resolution, data enrichment, data clean room collaboration, and omnichannel activation through Experian, you can clean up what’s outdated and prep your strategy for summer success!
Rethink your data and identity resolution strategy
Your data is foundational to your strategy and is a great place to start your marketing strategy spring cleanup. If your customer information is outdated, incomplete, or fragmented across systems, every campaign built on top of it risks underperforming. Before jumping into segmentation, activation, or partnerships, assess the health of your data and identity infrastructure. This is your deep clean and an essential first step in ensuring everything else works better.
With signals disappearing, buying channels proliferating, and customer journeys getting more complex, the key to maintaining addressability is investing in persistent identity, complete consumer data, and collaborative measurement strategies that can weather these changes.
Here are some ways to rethink your marketing data management and identity strategies for the current environment.
Set the data foundation
A solid identity resolution strategy starts with high-quality, unified data. Consider a comprehensive refresh of your customer records by auditing and enhancing what you have for accuracy and depth.
As you’re thinking through spring marketing ideas, it’s an ideal time to enrich your first-party data by appending missing details, removing outdated records, and ensuring you enter summer with reliable, up-to-date profiles.
Data enrichment
Customer data naturally degrades, and eventually, you’ll need to dust it off by supplementing consumer records with current, high-quality insights and attributes. Experian data enrichment can help you seamlessly refresh records with updated demographic and behavioral data, giving detailed insights for precise targeting and relevant campaigns.
With over 5,000 attributes available, covering everything from age and income to shopping habits and media preferences, you can maintain the deepest, most up-to-date view of your consumers through every season.
Offline identity resolution and append
Offline identifiers — like names, physical addresses, and phone numbers — are the most persistent identity markers as they rarely change compared to digital cookies and device IDs. They’re essential for a stable identity foundation, and you can use them to develop a consistent, unified view of each household and individual.
Use this season to audit and tidy up your offline records. Are key identifiers missing? Are you relying on outdated addresses or duplicate names? Experian’s Offline Graph serves as the foundation to help unify those fragmented pieces, resolving identities across households and individuals to create a clean, consistent view of every customer. Think of this step as scrubbing baseboards or cleaning behind the fridge. It’s often overlooked but a prerequisite to a thorough spring refresh.
You can also use Offline Identity Append to append missing identifiers to improve match rates, boost data accuracy, and ensure addressability so that when summer campaigns launch, you’re ready to confidently meet your audience where they are.
Digital resolution via Digital Graph
This next step is like replacing your air filter each spring. You won’t see it, but you’ll definitely feel the difference in performance. Digital resolution ensures persistent, accurate targeting across devices and channels in a fragmented omnichannel environment.
Experian’s Digital Graph facilitates easy consumer identification and connection across the digital ecosystem. Our graph links digital identifiers like mobile ad IDs (MAIDs), connected TV IDs, and hashed emails to consumer profiles. So, when a customer interacts on a smartphone, a smart TV, and a laptop browser, those actions can all be tied back to the same individual or household in your database.
Collaborate securely in data clean rooms to close gaps
Matching partner data within your own secure space, a trusted third-party clean room, or Experian’s privacy-safe environment is an essential next step in your marketing spring cleaning strategy. But what is a data clean room?
A data clean room is a privacy-first way to enhance marketing data in a secure environment that allows brands and partners to match and analyze data without exposing personally identifiable information. It’s almost like organizing a shared closet. You both bring what you have, sort it safely, and leave with something more valuable without mixing up or exposing what’s personal. Secure collaboration enriches your understanding of consumers, boosts match rates, and ensures the highest data security standards.
Here are key data challenges you can tackle through data collaboration—whether in a clean room or across your broader data strategy.
Lack of insights or usable data
Without third-party cookies, marketers run the risk of losing valuable consumer insights. Collaborating with key partners lets brands enrich their first-party data and obtain a more comprehensive view of customer behaviors for informed decision-making.
Let’s say, for example, that an advertiser with sales data but no exposure data struggles to attribute sales to specific campaigns. By collaborating securely with a measurement partner who provides exposure data, the advertiser can confidently link sales to ad exposure and optimize future campaigns with an understanding of who saw their ad and made a purchase.
We anticipate that data collaboration will be a key marketing trend in 2025 alongside signal loss.
Low or no match rates
When businesses handle matching internally, discrepancies like name variations (e.g., John Doe vs. Jonathan Doe) or mismatched identifiers (hashed emails vs. MAIDs) often result in poor match rates. Experian’s identity resolution capabilities, meticulous hygiene processes, resolution logic, and comprehensive identity graphs significantly enhance these match rates.
For example, if a data provider had physical addresses and a demand-side platform (DSP) had email addresses, they couldn’t collaborate with different identifiers. Using Experian Collaboration, however, their data could be resolved with offline identity data from our graph, enabling them to share their collaboration data and improve their marketing efforts.
Data security
When it comes to data collaboration, protecting your proprietary and customer information is non-negotiable. That’s why Experian operates with some of the industry’s strictest data security, privacy, and compliance protocols.
We support identity resolution and data collaboration within the most secure environments available — data clean rooms built to prevent sensitive customer data from ever being exposed. Instead of moving or sharing your raw data, we ensure all records are anonymized before any analysis occurs.
Additionally, Experian’s clean room integrations with trusted partners give clients flexibility without compromising compliance. All solutions are designed to meet GDPR, CCPA, and industry-specific data governance standards, with full audit trails and customizable access controls.
Connect and activate
Once your data is clean, enriched, and resolved, the next step is to activate it efficiently across the channels where your audiences spend time. This step is like putting everything back in place after a deep clean so everything is functional, easy to access, and ready to deliver results.
As you get ready to put your spring marketing ideas into motion, it’s time to streamline your activation approach and make sure your customer data is working hard for you.
First-Party Onboarding
With Experian First-Party Onboarding, you can ship data where needed using flexible data solutions for your activation strategy. This step is like labeling and organizing your freshly cleaned marketing closet, so each audience segment is ready to deploy wherever you need it.
We make it easy to:
- Understand your customers on a deeper level
- Seamlessly onboard your customer data for use across programmatic, social, and advanced TV platforms
- Combine your first-party data with Experian syndicated audiences for enriched targeting
- Deliver those audiences to any destination that accepts Experian Audiences — whether a DSP, social platform, or publisher
- Increase match rates, extend reach, and lower activation costs
Transact in the ecosystem with the Experian ID
To aid in the activation process, Experian ID is a unified identifier that acts as a privacy-safe bridge between fragmented emails, device IDs, and addresses, helping you activate audiences across all media channels.
Experian ID keeps your data protected and connected whether you send it to DSPs, social platforms, or data clean rooms. This allows for secure activation and performance tracking across the ecosystem without exposing personally identifiable information (PII).
Like sealing and storing your seasonal belongings in airtight containers, Experian ID keeps your data clean, safe, and always ready for use.
Use fresh audience insights to inform segmentation
After deep-cleaning your data, enriching profiles, and resolving identities, you’ll want to ensure your segmentation reflects that renewed foundation. Just like clearing expired ingredients from your pantry, spring is an ideal time to toss outdated audience definitions and replace them with insights that are fresh, relevant, and ready to perform.
With Experian’s modern audience tools, you can create smarter segments, power omnichannel strategies, and continue reaching high-value consumers even in cookieless environments.
Our marketing data management tools make it easy to:
- Build detailed, personalized profiles using over 5,000+ behavioral and lifestyle marketing attributes that go far beyond basic demographics.
- Choose from 2,400+ pre-built syndicated segments or collaborate with Experian to create custom audiences tailored to your KPIs and campaign goals.
- Append fresh attributes to your CRM to keep profiles accurate, performance-ready, and reflective of current consumer behaviors and life stages.
Together, these tools help sharpen your segmentation strategy and ensure up-to-date audience insights power every campaign. Let’s break down how smart combinations and contextual precision can further elevate your segmentation.
Combine our identity graphs and Marketing Attributes for sharper targeting
Combining Experian’s identity graphs with Marketing Attributes gives you both the who and the why behind your audience and helps you act on that insight with precision. It’s like giving your closet a total spring refresh — not just purging what doesn’t fit but also organizing what’s left into ready-to-wear outfits.
- Digital Graph + Marketing Attributes: Link real-time digital behavior (like CTV, mobile, or web activity) with rich consumer insights to create segments that perform across channels, from mobile to CTV to social.
- Offline Graph + Marketing Attributes: Tie persistent offline identifiers like name and address to behavioral and lifestyle data, making it easier to plan full-funnel strategies from direct mail to digital display.
This approach gives you the clarity and flexibility to build richer personas, reach more qualified audiences, and target with confidence across any environment.
Activate smarter with Contextually-Indexed Audiences
Spring cleaning your strategy also means letting go of legacy tools, especially those relying on cookies or outdated tracking methods.
With Experian’s Contextually-Indexed Audiences, you can reach consumers based on the content they’re engaging with, not their identifiers. We map millions of websites to real audience segments so you can target high-intent consumers in a privacy-safe, way.
For example, an automotive brand looking to reach high-intent luxury EV shoppers can activate Experian’s “in-market for a luxury electric car” segment. With contextually-indexed targeting, that brand’s ads will appear on websites that over-index for visitors in that audience — such as premium car review sites or sustainability-focused blogs — without relying on user identifiers.
This allows the brand to scale performance safely and efficiently in cookieless environments while achieving strong engagement metrics.
Activate across channels with confidence
After refreshing your data, segmentation, and partner strategies, the final step in your spring cleaning is putting all that prep work into action — efficiently and at scale. Think of this as your final sweep: optimizing where and how you activate your audience to ensure every touchpoint is aligned, accurate, and impactful.
With your updated segments and sharpened identity framework in place, you can reach consumers across display, mobile, connected TV (CTV), and emerging digital channels. Experian provides the tools to activate seamlessly — backed by privacy-safe, high-quality data and flexible integration options.
Third-Party Onboarding: Expand reach with external data sets
Experian’s Third-Party Onboarding capabilities make it easy for brands to augment their first-party data strategies on their preferred activation platforms with easy access to high-quality, activation-ready third-party audiences.
For you, this means you no longer have to manage the onboarding process yourself or worry about compatibility. Instead, you can:
- Enhance your first-party targeting with third-party data that’s already privacy-safe and activation-ready.
- Reach more qualified consumers by layering in external behavioral, lifestyle, or intent signals.
- Maximize scale across your preferred platforms using Experian’s established integrations and ecosystem support.
With Experian as your trusted partner, your audience strategy becomes more flexible, more scalable, and more effective, giving you the power to engage the right consumers beyond your own CRM.
Start preparing now for summer campaigns
You’ve cleared out the clutter, restocked your toolkit, and optimized your data strategy, and now, you’re ready to get ahead of the summer rush. While summer is go-time for high-impact marketing campaigns, now is the time to clean, organize, and prepare.
Another reason to start now? Tariffs, inflationary pressures, and changing consumer confidence are already impacting product demand, budget planning, and go-to-market strategies for the rest of the year. Brands need to be ready and agile in the face of economic turbulence.
So, think of this as your final recap checklist before the season (and the economy) changes: a set of intentional steps that ensure all your prep work translates into real performance when it counts.
Start now to:
- Cleanse and enrich your data: Make sure outdated records don’t weigh down your summer outreach. Refresh profiles with Experian’s latest attributes to stay aligned with consumer behavior.
- Solidify your identity resolution strategy: Transition to persistent, privacy-safe identifiers like Experian’s unified ID to maintain addressability across devices and channels.
- Collaborate with key partners: Run pilot campaigns with trusted collaborators to augment your data and maximize scale ahead of peak season.
- Refresh audience segments: Update personas and segments based on the latest data insights.
- Trial omnichannel strategies: Use spring to test messaging across display, CTV, social, and mobile so your summer creative hits with precision.
- Confirm measurement readiness: Double-check attribution and analytics tools so you can optimize in real time and prove ROI.
- Tailor creative to the season: From backyard barbecues to road trips, ensure your messaging taps into the themes and activities consumers care about most this summer.
Spring is the warm-up. Summer is the performance. Start today to improve your marketing data management and overall strategy, and you’ll be ready to hit the ground running.
Let’s plan your seasonal strategy together
Whether you’re looking for more spring marketing ideas or want to launch a high-impact summer campaign, Experian is ready to help. From strategy to segmentation and data clean rooms to real-time activation, we partner with you to build a marketing engine that performs now and keeps growing through the seasons.
Connect with us today, and let’s turn your seasonal refresh into long-term momentum
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With U.S. brands expected to invest over $28 billion in connected TV (CTV) in 2024, balancing linear TV and CTV is now a top priority. Advertisers need to integrate these platforms as the TV landscape evolves to reach audiences with various viewing habits. A successful strategy requires both linear and CTV approaches to effectively reach audiences at scale. We interviewed experts from Comcast Advertising, Disney, Fox, Samsung Ads, Snowflake, and others to gain insights on the evolving landscape of linear and CTV. In our video, they discuss audience fragmentation, data-driven targeting, measurement challenges, and more. Watch now to hear their perspectives. Five considerations for connecting with linear TV and CTV audiences 1. Adapt to audience fragmentation With consumers' rapid shift toward streaming, it's easy to overlook the enduring significance of linear TV, which still commands a large portion of viewership. According to Jamie Power of the Walt Disney Company, roughly half of the current ad supply remains linear, highlighting the need for brands to adapt their strategies to target traditional TV viewers and cord-cutters. As streaming continues to rise, ensuring your strategy integrates both CTV and linear TV is crucial for reaching the full spectrum of audiences. "I don't think that we thought the world would shift so quickly to streaming, but it's not always just all about streaming; there's still such a massive audience in linear."Jamie Power, Disney 2. Combine linear TV’s reach with CTV’s precision Blending the reach of linear TV with the granular targeting capabilities of CTV allows advertisers to engage both broad and niche audiences. Data is critical in understanding audience behavior across these platforms, enabling brands to create highly relevant campaigns tailored to specific audience segments. This strategic use of data enhances engagement and ensures that the right viewers see advertising campaigns. "The future of TV is really around managing the fragmentation of audiences and making sure that you can reach those audiences addressably wherever they're watching TV."Carmela Fournier, Comcast Advertising 3. Manage frequency across platforms Cross-platform campaigns require managing ad frequency to avoid oversaturation while ensuring adequate exposure. With a variety of offline and digital IDs resolved to consumers, our Digital and Offline Graphs can help maintain consistent messaging across linear TV and CTV. This approach allows advertisers to strike the right balance, preventing ad fatigue and delivering the right audience reach for campaign impact. "You've got to make sure that you're not reaching the same homes too many times, that you're reaching everybody the right amount of times."Justin Rosen, Ampersand 4. Focus on consistent measurement Linear TV and CTV offer different data granularities, necessitating tailored approaches for accurate cross-platform campaign measurement. Bridging these data gaps requires advanced tools that streamline reporting for both mediums. As the industry moves toward consistent measurement standards, advertisers must adopt solutions that provide a comprehensive view of campaign performance, enabling them to optimize their cross-platform efforts. "Where I think there are pitfalls are with the measurement piece, it's highly fragmented, there's more work to be done, we're not necessarily unified in terms of a consistent approach to measurement."April Weeks, Basis 5. Align with shifts in audience behavior The success of cross-platform campaigns hinges on staying agile and responsive to shifting audience preferences. As CTV adoption grows, advertisers must proactively adjust their strategies to align with how viewers engage across linear and streaming platforms. Ideas include: Regularly updating creative Adjusting the media mix Utilizing real-time data insights to ensure campaigns remain relevant "At Fox we were a traditional linear company, and essentially what we're trying to do is merge the reach and the scale of TV as well as the reach and the scale of all the cord-cutters and cord-nevers that Tubi possesses." Darren Sherriff – FoxDarren Sherriff, Fox As streaming TV rapidly changes, brands must stay ahead of trends and shifts in consumer behavior to tap into CTV's growing potential. By focusing on these opportunities, advertisers can blend linear TV and CTV, ensuring their campaigns reach audiences wherever they watch. Connect with Experian's TV experts As a trusted leader in data and identity services, Experian offers the expertise to help you succeed in television marketing. With our strong partnerships with key players in the TV industry, we provide access to unique marketing opportunities. Learn how Experian’s data and identity solutions can deliver outstanding results in advanced TV advertising. Partner with us today to enhance your marketing strategies using our Consumer View and Consumer Sync solutions. Connect with our TV experts Contact us Latest posts
In this article…Understanding the AI revolution in commerceFour benefits of the AI revolution coming to commerceFuture trends and predictionsChart the future of commerce with Experian Technology is pushing the boundaries of commerce like never before. Artificial intelligence (AI) is one of the primary driving technologies at the forefront of the commerce evolution, using advanced algorithms to revolutionize marketing and personalize customer experiences. As of 2024, AI adoption in e-commerce is skyrocketing, with 84% of brands already using it or gearing up to do so. This article explores the AI revolution coming to commerce, focusing on what makes AI a driving force for e-commerce in particular, and the ways it's reshaping how businesses engage with consumers. Understanding the AI revolution in commerce AI is quickly reshaping commerce as we know it by democratizing access to sophisticated tools once reserved for large corporations, breaking down functional silos within organizations, and integrating data from multiple sources to achieve deeper customer understanding. It’s paving the way for a future where every brand interaction is uniquely crafted for the individual, powered by AI systems that anticipate preferences proactively. AI is a broad term that encompasses: Data mining: The gathering of current and historical data on which to base predictions Natural language processing (NLP): The interpretation of human language by computers Machine learning: The use of algorithms to learn from past experiences or examples to enhance data understanding The capabilities of AI have significantly matured into powerful tools that can improve operational efficiency and boost sales, even for smaller businesses. They have also fundamentally changed how businesses interact with customers and handle operations. As AI continues to develop, it has the potential to provide even more seamless, personalized, and ethically informed commerce experiences and establish new benchmarks for engagement and efficiency in the marketplace. Four benefits of the AI revolution coming to commerce Major commerce players like Amazon have benefited from AI and related technologies for a while. Through machine learning, they’ve optimized logistics, curated their product selection, and improved the user experience. As this technology quickly expands, businesses have unlimited opportunities to see the same efficiency, growth, and customer satisfaction as Amazon. Here are four primary benefits of AI adoption in commerce. 1. Data-driven decision making AI gives businesses powerful tools to analyze large amounts of data more quickly and accurately than a person. Through advanced algorithms and machine learning, AI can sift through historical sales data, customer behavior patterns, and market trends to uncover insights and suggest actions that might not be immediately obvious to human analysts. By transforming raw data into actionable insights, AI empowers businesses to make more informed decisions, reduce risks, and capitalize on opportunities. As a real-world example, Foxconn, the largest electronics contract manufacturer worldwide, worked with Amazon Machine Learning Solutions Lab to implement AI-enhanced business analytics for more accurate forecasting. This move improved forecasting accuracy by 8%, saved $533,000 annually, reduced labor waste, and improved customer satisfaction through data-driven decisions. 2. A better customer experience AI is set to make customer interactions smoother, faster, and more personalized by recommending products based on preferences and behaviors, making it easier for customers to find what they need. When consumers visit an online store, AI also provides instantaneous help via a chatbot that knows their order history and preferences. These AI-powered assistants offer real-time help like a knowledgeable store clerk. They give the appearance of higher-touch support and can answer basic questions at any hour, provide personalized product recommendations, and even troubleshoot issues. Chatbots free up human customer service agents for more complicated matters, and these agents can then use AI to obtain relevant information and suggestions for the customer during an interaction. 3. Personalized marketing Data-driven personalization of the customer journey has been shown to generate up to eight times the ROI, as data shows 71% of consumers now expect personalized brand interactions. Until AI came around, personalization at scale was complex to achieve. Now, gathering and processing data about a customer’s shopping experience is easier than ever based on lookalike customers and past behavior. Many businesses have adopted AI to glean deeper insights into purchase history, web browsing, and social media interactions to drive better segmentation and targeting. With AI, advertisers can analyze behavioral and demographic data to suggest products someone is likely to love. Consumers can now browse many of their favorite online stores and see product recommendations that perfectly match their tastes and needs. AI can also offer special discounts based on purchasing habits, and send personalized emails with products and content that interest customers to make their shopping experience more engaging and relevant. This personalization helps businesses forge stronger customer relationships. Personalization across digital storefronts Retail media involves placing advertisements within a retailer's website, app, or other digital platform to help brands target consumers based on their behavior and preferences within that environment. Retail media networks (RMNs) expand this capability across multiple retail platforms to create seamless advertising opportunities throughout the customer journey. Integrating AI into RMNs can improve personalization across digital storefronts with personalized, relevant ads and custom offers in real time that improve the customer experience. 4. Operational efficiency AI can also be beneficial on the back end, enabling more efficient resource allocation, pricing optimization, efficiency, and productivity. Customers can be frustrated when they visit a store for a specific product only to find it out of stock or unavailable in a particular size. With AI, these situations can be prevented through algorithms that forecast demand for certain items. Retailers like Amazon and Walmart both use AI to predict demand, with Walmart even tracking inventory in real time so managers can restock items as soon as they run out. AI can automate and streamline operational tasks to help businesses run smoother, faster, and more cost-effective operations. It can: Offload tedious data entry, scheduling, and order processing tasks for greater fulfillment accuracy. Analyze historical data and market trends, predicting demand to help businesses optimize inventory, reduce waste, track online and in-store sales, and prevent shortages. Forecast demand levels, transit times, and shipment delays to make better predictions about logistics and supply chains. Improve data quality using machine learning algorithms that find and correct product information errors, duplicates, and inconsistencies. Adjust prices based on competitor pricing, seasonal fluctuations, and market conditions to maximize profits. Pinpoint bottlenecks, identify issues before they escalate, and provide improvements for suggestions. Future trends and predictions If you want to stay ahead in e-commerce, it’s just as important to know what’s coming as it is to understand where things are today. Here are some of the trends expected to shape the rest of 2024 and beyond. Conversational commerce Conversational commerce allows real-time, two-way communication through AI-based text and voice assistants, social messaging apps, and chatbots. Generative AI advancements may soon enable more seamless, personalized interactions between customers and online retailers. This technology can improve customer engagement and satisfaction while providing helpful insights into preferences and behaviors for better personalization and targeting. Delivery optimization AI-driven delivery optimization uses AI to predict ideal routes for each individual delivery, boosting efficiency, reducing costs, promoting sustainability, and improving customer satisfaction throughout the delivery process. Visual search AI-driven visual search is quickly improving in accuracy, speed, and contextual understanding. Future developments may integrate seamlessly with augmented reality (AR) so shoppers can search for products by pointing their devices at physical objects. Social media and e-commerce platforms may soon incorporate visual search more prominently, allowing users to find products directly from images. AI content creation AI is already automating and optimizing aspects of content production: Algorithms can generate product descriptions, blog posts, and social media captions personalized to specific customer segments. AI tools also enable the creation of high-quality visuals and videos. NLP advancements ensure content is compelling and grammatically correct. AI-driven content strategies analyze consumer behavior and refine messaging to meet changing preferences and trends. This automation speeds up content creation while freeing resources for strategic planning and customer interaction. IoT integration Integrating AI with Internet of Things (IoT) devices could help make the ecosystem more interconnected in the future. AI algorithms can use data from IoT devices like smart appliances, wearables, and sensors to gather real-time insights into consumer behavior, preferences, and product usage patterns. This data enables personalized marketing strategies, predictive maintenance for products, and optimized inventory management. AI-driven IoT data analytics can also streamline supply chain operations to reduce costs and inefficiencies. Fraud detection and security There will likely be an increased focus on the ethical use of AI and data privacy regulations to strengthen consumer trust and transparency. AI-powered systems will get better at detecting and preventing fraud in e-commerce transactions, which will heighten security measures for both businesses and consumers. Chart the future of commerce with Experian AI has changed how marketers approach e-commerce in 2024. With AI-driven analytics and predictive capabilities, marketers can extract deeper insights from extensive data sets to gain a clearer understanding of consumer behavior. This enables refined segmentation, precise targeting, and real-time customization of messages and content to fit individual preferences. Beyond insights, AI automates routine tasks like ad placement, content creation, and customer service responses, freeing marketers to concentrate on strategic planning and creativity. Through machine learning, marketers can predict trends, optimize budgets, and fine-tune strategies faster and more accurately than ever. The time to embrace AI is now. At Experian, we’re here to help you make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Using AI in your commerce marketing strategy with our Consumer View and Consumer Sync solutions can help you stay competitive with effective, engaging campaigns. Contact us to learn how we can empower your commerce advertising strategy today. Contact us Latest posts
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 Rachel Herbstman, VP of Data Innovation, and Anastasia Dukes-Asuen, Senior Director of Advanced TV Data & Insights at Ampersand. Could you introduce us to Ampersand and discuss your approach to TV advertising? Ampersand, a joint venture between Comcast, Charter, and Cox, is a media sales organization that offers a unified footprint, unlocking unparalleled scale and unique data/insights for local and national advertisers. Ampersand gives advertisers true audience first planning, scale in execution, and advanced measurement of their TV investments, representing 117 million multiscreen households and over 75% of addressable households in the U.S. (64 million households). We help clients reach their unique target audience and deliver their stories – anytime, anywhere, and on whatever device. How does adding streaming to a linear campaign, or vice versa, enhance overall campaign performance for marketers? Herbstman: Marketers have recognized that multiscreen media strategies are the strongest as viewership continues to fragment. Unique audiences exist in traditional TV and streaming, and failure to include either media channel will reduce the total reach opportunity. These channels have proven to validate unduplicated audiences. In our local business, adding streaming to a historically traditional linear-only media strategy increased campaign reach by 33%. Conversely, adding linear TV to a historically streaming-only media strategy increased reach by 209%. These metrics are validated by matching media exposures to an authenticated households subscriber ID and represent mass opportunities to reach new audiences with a multiscreen media strategy. When considering reallocating media investments, how does Ampersand help clients determine the most effective channels for specific campaigns? Herbstman: For a brand that historically invested in traditional TV, either national or local broadcast, we can provide insights to analyze the performance of any media campaign. The insights can include high-level metrics like reach and frequency and more granular metrics like unique reach per network. By seeing both the high-level results and more detailed granularity, we can provide optimization recommendations for funding other activation opportunities. Our database of past campaigns consistently demonstrates that gaining new eyeballs with a national TV campaign usually plateaus after a few weeks. In other words, if most of your intended audience is reached after about three or four weeks of national television, reaching any new viewers can be exponentially more expensive. We’ve built an Addressable Simulator tool for national advertisers that shows the potential impact of shifting a portion of the national media weight, specifically from the latter part of a flight, into addressable TV. Using our licensed Experian data set, we can measure any standard age/gender target or any advanced target to understand the complementary impact that addressable audience has on national media. This tool has dynamic inputs of CPMs and incidence rates, flight lengths, and budgets to simulate different scenarios and give marketers some intelligence on what holistic reach against that Experian segment they could expect with one given budget using brand-safe, traditional, and streaming inventory with an addressable activation. Additionally, we've developed an interactive eCPM calculator that helps national advertisers assess the cost efficiency of adding addressable TV to their traditional campaigns. By dynamically inputting CPMs, marketers can evaluate tradeoffs between media types for upcoming campaigns. Are there audience demographics that benefit from these combined media strategies, and what indicators or data points guide your recommendations to add cable to a local broadcast campaign versus other reallocations? Herbstman: By including cable or streaming in a local effort, a client can use a data-driven approach to find more intended viewers in other premium content. Utilizing the vast library of Experian audience segments paired with our robust sample of 64 million data-enabled homes enables Ampersand to provide insights into the most valuable networks and dayparts that the intended viewer will likely watch on either platform. With identity and viewing insights at scale, we can understand how consumers watch TV, even for inventory we have yet to sell. Our goal is to help marketers understand what’s happening as a result of their investments at a holistic level. We can analyze a campaign running across hundreds of designated market areas to quickly and simply understand the holistic delivery of their broadcast and cable weight by pulling back set-top-box exposures on broadcast and Ampersand-purchased cable on our measurable footprint. Then, we can determine the share of measurable reach that each portion’s media weight contributes to. We recommend optimizing towards a more balanced approach, where the reach levels for broadcast and cable mirror each other, creating a more effective market media mix. Once we confirm cable's potential in a market, we analyze network and daypart metrics to adjust key areas to optimize the campaign. We invite marketers to use these insights to measure their local or national TV campaign performance and garner unique perspectives to re-balance investments to drive reach and optimal frequencies. Are there common missteps to avoid? Dukes-Asuen: Ampersand's decades of experience with media and data insights have allowed us to create an extensive database complete with targeting and measurement benchmarks. We use this database to curate best practices for brands and help set them up for success, keeping their goals and objectives for reach and frequency in mind. Some clients spread their investment levels too thin, whether through short flight windows, low weekly frequencies, or targeting overly niche audiences that don't fully support KPI goals. One way to avoid these missteps is to set up a test-and-learn plan to validate a hypothesis and refine media strategies, ensuring campaigns are structured to garner meaningful insights. Ampersand can help ensure the test itself is constructed and supported to yield statistically relevant results, and the learnings can then be applied to the next campaign. How does Experian’s data enhance your campaigns at Ampersand? Dukes-Asuen: Within our Experian license, we can map the Experian Consumer View databases against our multichannel video programming distributors subscriber base in a privacy-compliant way to plan and activate them seamlessly. Experian has a rich set of audience targets and segmentation that we utilize to identify households that can be used for audience-based media execution with Ampersand. By defining the right audience—whether consumers are likely to purchase a product, exhibit certain behaviors, or demonstrate specific values—we enhance campaign performance and improve media spending efficiency for our advertisers. Additionally, how do you believe AI and other new technologies will impact your media buying approaches in the future, and how might these innovations improve campaign effectiveness and provide value to your clients? Herbstman: We have a strong use case on the measurement and analytics end. Using AI, we can aggregate a massive amount of historical data—viewership and exposure data. AI helps us understand overarching market trends and media performance to analyze campaign results and inform future campaign optimizations. The value of AI is in its role as an additional technology layer, enriching our insights portfolio and providing faster intelligence that enhances campaign effectiveness and delivers greater value to our clients. Can you share an example of how precise audience targeting and segmentation, powered by Experian, have led to significantly better media spend reallocations and campaign performance for marketers? One great example is how a national cruise brand dramatically improved its media spend and campaign performance by utilizing precise audience targeting and segmentation through Experian. By combining Ampersand’s addressable TV with Experian’s data-driven insights, they achieved a 14% incremental reach, a 3.1x higher frequency, and a 24% lower effective CPM. This strategic approach allowed them to reallocate their media spending more effectively, ensuring every impression reached their custom target audience. Thanks for the interview. For those interested in learning more about Ampersand, reach out for a personalized consultation. Contact us Latest posts