In this article…
Summer may be vacation season for consumers, but it’s go time for marketers. Between holiday weekends, travel season, and changing shopping habits, the pressure is on to deliver campaigns that land and convert.
If you’re feeling behind, you’re not alone. Many marketers face the same challenge every year: How do you actually use the customer data you have to fuel high-impact, seasonal marketing? And how do you ensure your brand shows up in front of the right people in the right place before the competition beats you to it?
That’s where Experian comes in. With Experian’s advanced Audience solutions, you can get ahead of the trends, connect with vacation-ready shoppers, and optimize performance across digital, TV, and retail media using customer data for seasonal marketing.
Capitalize on vacation excitement to drive sales and growth
Summer travel often triggers a surge in pre-trip spending. Surveys show that 82% of consumers plan to travel this summer, and according to Fortune, today’s travelers spend thousands of dollars on things like luggage, apparel, and recreation gear before they even leave their homes!
But while consumer demand is heating up, so are the challenges. Marketers are navigating a turbulent economic environment shaped by shifting demand curves, tighter budgets, the rising cost of goods, and supply chain disruptions caused by newly imposed tariffs. These pressures are forcing teams to rethink everything from product positioning to pricing strategies.
In this climate, it’s more important than ever to maximize performance, reduce waste, and stay laser-focused on reaching high-intent audiences likely to convert. Using customer data for seasonal marketing helps brands predict and capture demand with precise, relevant targeting. Whether your customers are planning a trip to the beach or hiking the Rockies, timely messaging and audience alignment can drive engagement and conversion.
Experian Audiences power effective audience strategies
But even the most compelling campaigns can fall flat if you’re working with incomplete data, outdated segments, or generic targeting. Consumer data providers like Experian can help you fix that.
Our Audience solutions help you go beyond assumptions and truly understand who your shoppers are, what they’re planning, and how they behave, so you’re ready to get in front of their summer plans.
Six steps to creating a successful seasonal marketing campaign
When you’re ready to turn summer intent into strategy, Experian Audience solutions help you translate vacation-driven behaviors into high-performing campaigns. Each product in the Experian Audience suite supports a specific stage in seasonal marketing planning and execution.
1. Define your goals
Before diving into channels and creatives, get clear on your customer database marketing goals. Are you trying to increase online purchases? Drive in-store traffic? Expand brand awareness?
Use Syndicated Audiences to set fast, focused goals. If you’re short on time, Experian’s 2,400+ Syndicated Audiences give you a head start. These pre-built, behavior-based segments — from luxury travelers to seasonal sports enthusiasts — help you quickly identify who to target, where they spend time, and how to message to them.
With segments ready to plug into 30+ activation platforms, you can ensure quick, confident activation.
2. Decide what data you need and which audiences to target
Using customer data for seasonal marketing means mapping behavior to intent. This core tactic in customer database marketing can help you drive deeper engagement. Our data solutions simplify the process, whether you’re starting with limited data or already know your best customers.
- If you’re starting with a list, Enrichment can append lifestyle, income, and travel preference data to help you understand what motivates your existing customers.
- If you don’t have a list, Marketing Attributes gives you full control when building new audiences or lookalikes based on relevant seasonal traits like beach vacationers or frequent CTV watchers.
3. Identify key holidays and events
Summer is full of shopping triggers: Memorial Day, Father’s Day, Fourth of July, Labor Day, and countless local and regional events. However, not every customer behaves the same way.
Use Enrichment to understand when your customers are most likely to act. By comparing your first-party data to broader market segments, you can time promotions more strategically. For instance, enrichment might reveal that outdoor gear buyers convert in early June, while luxury travelers plan closer to July.
4. Activate across digital, TV, and retail media
Summer shoppers don’t stick to one screen. They’re streaming TV, reading travel blogs, browsing retail apps, and catching up on email — often from a beach chair or airplane seat. That’s why omnichannel delivery is a must, and it’s where consumer data vendors like Experian can help you reach your audience across channels with targeted messaging for key holidays and events:
- Syndicated Audiences simplifies omnichannel activation with built-in integrations to 30+ leading activation platforms. These pre-mapped segments let you deliver consistent messaging across the places where your audience is most engaged.
- Looking for privacy-forward reach? Contextually-Indexed Audiences are segments built by linking real-world behavioral data to the types of content those audiences typically consume online, allowing you to activate based on content instead of identity while offering a more contextually relevant experience. Using customer data for seasonal marketing, Experian maps real audience segments across web and app environments — like national park guides and travel blogs — for ID-free precision targeting in a cookieless environment.
5. Track and evaluate performance
Don’t wait until the end of the campaign to make changes. Experian’s measurement tools help you track performance in real time, so you can optimize early and often.
Measure how well specific audiences — enriched, syndicated, or contextual — are performing across platforms and use those insights to shift spend toward top performers.
6. Optimize and refine your strategy
After the season ends, it’s time to take what you’ve learned and build smarter for the next push.
Use Outcomes to analyze:
- Who converted
- Which segments underperformed
- How your customer base compares to the broader market
- How your audience evolved
- Which campaigns drove meaningful adoption
These insights can then inform your next round of audience building, so whether it’s back-to-school or a holiday, you’re already ahead.
Example 1: The beach vacation shopper
To illustrate Experian’s Audience solutions at work, let’s say a high-end swimsuit brand wants to reach women over 30 planning beach vacations to Florida, Hawaii, or Mexico. However, their CRM only includes basic transaction and purchase details and offers little insight into who their customers are.
Audience solution: Enrichment
Using Experian’s Enrichment solution, the brand could layer on lifestyle, income, and travel preference data to turn shallow profiles into rich audience segments.
With a deeper understanding of their shoppers, the brand could develop a targeted messaging strategy by destination, build high-performing lookalike audiences, and confidently activate across channels.
Example 2: The European traveler
As another example, suppose a footwear brand wants to reach millennial travelers heading to Europe between May and August. They specialize in stylish, comfortable walking shoes that are ideal for travel but lack the technical in-house resources to build custom segments.
Audience solution: Syndicated Audiences
Using our Syndicated Audiences, the brand could easily tap into pre-built segments tied to leisure travelers, international shoppers, and comfort-focused footwear buyers. With plug-and-play access to over 2,400 verified audience segments, the brand could quickly layer this targeting into their programmatic and paid social campaigns without requiring custom development.
And with fast speed-to-market and improved message relevance, the brand could launch cross-channel campaigns just in time for peak summer travel planning.
Example 3: The outdoorsman
Consider a camping tent company that wants to reach families planning summer trips to national parks, campgrounds, or RV resorts. They don’t have much first-party data to work with, but they know their audience is online, researching their next adventure.
Audience solution: Contextually-Indexed Audiences
With Experian’s Contextually-Indexed Audiences, the brand could target people actively reading content about outdoor travel (like hiking tips, campground reviews, or road trip itineraries) without relying on cookies or IDs. They’d be able to activate contextually relevant audiences mapped to sites that outdoor enthusiasts frequent and drive site traffic with strong click-through rates.
Example 4: Big-box retailer launching summer gear
Imagine a national retailer preparing to promote summer essentials like patio furniture, grills, fitness gear, and travel accessories. Their goal is to build predictive models for their summer product demand and reach new customers most likely to buy before they even search.
Audience solution: Marketing Attributes
With Experian’s Marketing Attributes, the retailer could license over 5,000 lifestyle, demographic, and behavioral variables to enrich internal models and uncover high-indexing consumer groups, such as outdoor entertainers or health-conscious families.
This data-powered insight would help them predict demand and identify audience segments worth testing across media channels. The team could find new, qualified segments ideal for email and CTV activation and get a head start on the season, eventually increasing ROI on their summer campaign spend.
Talk to Experian about your summer campaigns today
Using customer data for marketing doesn’t have to be overwhelming, especially when you have access to a trusted consumer data provider and plug-and-play audience tools for every stage of the funnel.
Whether you’re working with a robust CRM or starting fresh, consumer data vendors like Experian can help you reach the right audiences with speed, accuracy, and confidence. Our advanced tools are designed for both advanced marketers and teams just beginning to explore consumer database marketing. No matter your goals, Experian is here to help you build an audience strategy that performs.
Contact us today
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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