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Conventional TV advertising campaigns have historically relied on general audience metrics like impressions and ratings to measure outcomes. These metrics can help marketers understand how many people have seen an ad, but they don’t reveal its real-world impact, which leaves a gap between ad exposure and results.
Outcome-based TV measurement bridges this gap and helps marketers tie ad spending directly to their business goals. Instead of counting eyeballs alone, TV measurement zeroes in on what viewers do after seeing an ad — whether signing up for a service, visiting your website, or purchasing a product.
TV ad measurement helps marketers adjust campaigns based on clear, trackable outcomes rather than guesswork. Let’s talk about how marketers can get started with outcome-based TV measurement and start experiencing tangible results.
Why outcome-based TV measurement matters
Outcome-based measurement indicates a massive shift in how marketers evaluate TV advertising success. As a principal analyst at Forrester explained, the industry is about to “move into a whole different world” where multiple metrics are tailored to advertisers’ unique goals, such as sales, store traffic, or web engagement. This shift is driven by improved tools for tracking TV outcomes, which help justify spending and clarify ROI. With TV measurement, you can see how your campaigns impact aspects of your marketing like sales and engagement.
Aligning TV ad spend with business goals
Every business has distinct objectives. Outcome-based measurement ties your marketing efforts to business goals and enables smarter decisions, campaign optimization, and ROI improvements. Whether you’re a B2C brand wanting immediate sales or a B2B organization looking to drive website traffic, this method provides the insights needed for strategic decision-making.
Marketers can deliver the most value by adjusting TV ad spending to maximize desired results:
- Sales goals: Identify which ads and platforms directly influence purchases to ensure TV ad spend contributes to revenue growth.
- Customer engagement: Link actions like website visits or app downloads to TV campaigns and refine messaging to deepen audience connections.
- Desired outcomes: Align ad spend with goals like consumer awareness or repeat purchases to allocate resources effectively for measurable success.
Reducing wasted spend on ineffective channels
Outcome-based TV measurement allows you to pinpoint which networks, times, or programs drive the most engagement and conversion. When you know your underperforming channels, you can reallocate budgets to those with a higher ROI and avoid waste.
Core metrics in outcome-based TV measurement
The effective implementation of outcome-based measurement requires advanced TV advertising analytics and tracking metrics that shed light on TV ad performance.
Incremental lift
This metric measures the increase in desired actions and business results — like purchases or site visits — that can be attributed directly to a TV campaign. Incremental lift quantifies your campaign’s impact and separates organic activity from the results your ads have driven.
Let’s say a meal kit service experiences a 20% lift in subscriptions within a single week of running TV ads compared to a week without ads. They’d want to be able to isolate the impact of their ad from their organic growth so they can determine if the growth is actually a result of the TV ads or another effort.
Attribution and conversions
Attribution links TV ad exposure to specific customer actions, such as newsletter sign-ups and product purchases. Conversion data helps marketers understand the whole customer journey to optimize messaging, targeting, and channel mix to improve conversion rates. A retailer that knows 50% of TV ad viewers visit its e-commerce site within 36 hours of exposure could use that information to adjust the timing of its retargeting and align with site visit spikes.
Audience segmentation for targeted measurement
Outcome-based measurement breaks down performance across target demographics and allows for granular audience segmentation so TV ads resonate with the right audiences. For example, if a luxury brand saw better TV ad performance with high-earning Millennials, they’d want to refine their campaign messaging based on this group’s habits and preferences.
Customer journey tracking
Knowing how viewers move from awareness to conversion is critical. Outcome-based TV measurement helps you track the customer journey by pinpointing touchpoints where engagement happens and tying these to your TV campaigns. If a fitness brand found that TV campaigns drive app downloads, it could combine app analytics and TV exposure data to find out when most of their conversions happen after ad exposure and create follow-up messaging for that window of time.
Integrating these insights with other marketing channels allows you to fine-tune your messaging, channel mix, and audience targeting to drive better outcomes and deliver more personalized customer experiences.
Lifetime value (LTV)
Beyond immediate conversions, outcome-based TV ad measurement helps brands identify which TV campaigns attract high-value customers with long-term revenue potential. If a financial institution ran a TV ad campaign centered on its new credit card, for instance, it could use LTV to track new cardholders and determine whether ads occurring during financial news airtime produced customers with higher average annual spend compared to other segments.
How outcome-based TV measurement works
Outcome-based measurement is a data-driven process that involves collecting, analyzing, and applying insights to improve TV ad performance.
1. Collect data
When someone sees your TV ad, they might take action, like downloading your app or buying something. Outcome-based TV measurement begins by tracking these actions and gathering data from various sources, such as:
- TV viewership
- CRM
- Digital engagement
- Purchase behavior
- Cross-platform interactions
- And more
Data integration with digital platforms
Combining TV data with insights from platforms like social media or website analytics creates a more unified view of campaign performance. This integration powers easier retargeting and better alignment between digital and TV advertising strategies. Some marketers enhance this integration further using artificial intelligence (AI) to streamline data coordination and ensure campaigns are optimized for effectiveness and ROI.
2. Connect the dots
Next, marketers need to find out which actions were influenced by TV ads. It’s important to ask questions like these as you work to connect the dots:
- Did website traffic spike right after the ad aired?
- Did the ad viewers match the people who signed up for the service or made a purchase?
You can link TV exposure to real-world behaviors with tools and identifiers like hashed emails, device IDs, surveys, and privacy-safe data-matching techniques.
3. Analyze the data
Then, the data needs to be analyzed for patterns like these:
- Which TV ads or time slots drove the most engagement?
- Did certain customer groups respond better than others?
- Was there a noticeable lift in sales or signups after the ad campaign?
This step can help you uncover what’s working and what’s not.
Role of advanced analytics and machine learning
The data analysis required in this process can be overwhelming, time-consuming, and risky without the right tools. Fortunately, advanced analytics and fast, effective artificial intelligence tools can process large amounts of data from digital platforms, TV viewership, and customer interactions in less time to reveal accurate, actionable insights and patterns.
They can also predict which audiences, messages, and channels will be most profitable so campaigns can adapt in real time, whether by reallocating spend to higher-performing channels or refining audience targeting.
4. Turn insights into action
Once you have your data-derived insights, you can tweak your campaign in a number of ways, whether you decide to:
- Adjust your ads: If one message works better than another, lean into it.
- Refine your targeting: Focus on the audience segments most likely to act.
- Optimize your spend: Invest in channels or times that deliver the best return.
For example, if you see that ads during prime time lead to more purchases than morning slots, you can shift your budget accordingly.
This type of knowledge can be used to continuously improve your campaigns. Each time you run a new ad, you measure again, building on past insights to make your outcome-based TV advertising even smarter.
Applications of outcome-based TV measurement
Outcome-based TV measurement has wide-ranging applications across industries. Here’s how it’s helping businesses link TV ad exposure to real-world actions and optimize campaigns for better results.
- E-commerce and retail: Retailers can track how TV ads influence purchases and use those insights to refine their assets and target specific customer groups. A clothing retailer may track how well a TV ad boosts online traffic and in-store purchases. For instance, if a seasonal sale commercial correlates with a spike in website visits or mobile app downloads, the brand can refine its ad placement to focus on the most responsive demographics.
- Automotive: Automakers use outcome-based TV measurement insights to determine how ads drive dealership visits, test drives, or inquiries. A car manufacturer could analyze whether TV spots featuring a new vehicle increase traffic to its dealership locator or car configuration tool online.
- Healthcare: Pharmaceutical companies could assess whether TV spots lead to increased prescription fills, or a health provider could test how ads promoting flu shots result in appointment bookings through its website or app. If any messages resonate more with families, the provider can create similar campaigns for the future.
How Experian enhances outcome-based TV measurement
Experian has recently partnered with EDO, an outcomes-based measurement provider, to offer more granular TV measurement across platforms. Our identity resolution and matching capabilities enhance EDO’s IdentitySpine™ solution with rich consumer data, including age, gender, and household income, all in a privacy-centric way. Integrating these demographic attributes is helping advertisers achieve more precise audience insights and connect their first-party data to actionable outcomes.
As a result of this collaboration, brands, agencies, and networks can optimize their TV campaigns by identifying which ads drive the most decisive engagement among specific audience segments. We’re improving accuracy, targeting, and more so advertisers can maximize the performance of their CTV strategies.
Get in touch with Experian’s TV experts
If you’re ready to take your data-driven TV advertising strategies to the next level, connect with our team. We combine advanced data and identity solutions as well as strong industry collaborations to help brands optimize their TV campaigns. Whether you’re navigating traditional or advanced TV formats, our expertise ensures your efforts deliver maximum impact.
Connect with us today to drive engagement, connect with audiences, and achieve better ROI. Let’s transform the way you measure success on TV.
Contact us
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Have you wondered how the shift toward real-time data is reshaping the way companies connect with consumers? Traditional methods of third-party data collection and demographic targeting are being replaced by more privacy-conscious approaches. In our next Ask the Expert segment, we explore how Experian and Captify’s partnership is harnessing the power of real-time onsite search data to enhance personalized advertising, address identity fragmentation, and provide valuable insights for navigating modern advertising challenges. We’re joined by industry leaders, Amelia Waddington, Chief Product Officer at Captify, and Chris Feo, Experian’s SVP of Sales & Partnerships. In this segment, they discuss the complexities of identity and the innovative use of real-time data in digital advertising. Watch the full Q&A below to learn more about these topics and discover how the collaborative efforts of Experian and Captify are shaping the future of personalized advertising. Understanding the power of real-time marketing data Real-time data provides an up-to-the-minute view of consumer behavior, enabling marketers to make quick, informed decisions. Captify’s use of real-time search data allows for immediate insights, contrasting with traditional third-party data, which often involves delay and prompted answers. This approach allows marketers to see trends and reactions as they unfold, making it possible to tweak campaigns and strategies and always reach the most in-market consumers. By using Captify’s real-time data, we can predict consumer interests and adapt to market changes quickly. Staying ahead of market trends with predictive analytics Captify analyzes more than a billion search signals daily, giving brands a detailed look at changes in audience behavior. These real-time insights help businesses make timely adjustments and reach their audiences in the moments that matter. Beyond digital media, Captify's multi-channel activation strategy extends to platforms such as connected TV and digital out-of-home, ensuring messages remain relevant and effective. How Experian and Captify work together Imagine being able to tailor your ads to consumers' needs and interests in real time. Our partnership with Captify enhances ad targeting and measurement by combining Experian’s vast Digital Graph with Captify’s real-time intent data. "Captify has evolved beyond relying on third-party cookies in isolation and now uses the Experian Graph to provide a more holistic view of identity at both the individual and household levels" says Amelia Waddington, Chief Product Officer at Captify. As privacy concerns grow, we have built and continue to invest in a signal-agnostic Digital Graph that can make connections across a wide range of identifiers, including the Experian Living Unit ID (LUID). The LUID is a unique identifier representing each household in the United States, based on real households and real people. This allows essential demographic information to be enriched to a household, enriching first-party data with detailed consumer insights, like age, gender, historical purchase behavior, and future purchase intent. By continuously adding new data and building fresh audiences and segments, we provide greater insights into the consumer base. Our Digital Graph serves as Captify’s identity spine, allowing them to connect identifiers together at both the person and household levels. This helps their clients target ads more accurately across different channels, making it easier to track and understand consumer behavior across platforms like TV, digital, and radio. Here are five key ways our partnership enhances ad targeting and measurement: Enhancing personalized advertising with real-time insights Identity fragmentation is a challenge for marketers because consumer data is scattered across different devices and platforms, making it difficult to effectively understand and target consumers. Experian and Captify’s partnership provides the fuel to help advertisers by integrating real-time search data with identity graphs, allowing for accurate targeting across various channels. By combining Experian’s robust Digital Graph with Captify’s real-time intent data, advertisers can deliver highly personalized ads on connected TV that retain their relevance and impact, no matter where the consumer engages with the content. "We ingest the Experian Graph as part of our internal Graph, allowing us to connect identifiers together at both person and household levels, which aligns with our expansion into TV, out-of-home, and audio channels."Amelia Waddington, Chief Product Officer, Captify Addressing identity fragmentation A fragmented identity occurs when consumer data is scattered across different devices and platforms, making it difficult to effectively understand and target consumers. Advertisers need holistic media plans instead of fragmented strategies that risk disengaging consumers, while publishers must demonstrate their platforms’ value by targeting seamlessly. By enriching and distributing thousands of demographic and behavioral segments, Experian provides the essential data needed to effectively target diverse audiences. Experian’s Digital Graph complements Captify’s data by connecting various identifiers, providing a complete view of individuals and households. This approach helps advertisers overcome fragmentation challenges, and ensure their messages reach the right audience across multiple touchpoints. Optimizing creative content dynamically Using real-time data, advertisers can adjust creative elements of their ads to better match consumer interests. This means changing parts of an ad, like images or text, based on current audience data, making it more relevant to the consumer. By partnering with Experian, Captify continues to see a rounded view of a consumer, allowing them to provide clients around the globe with data-driven creatives. These creatives achieve better results than standard ones and enable more meaningful connections with consumers. Integrating search data into connected TV Real-time search data plays a crucial role in enhancing the effectiveness of connected TV (CTV) advertising. Captify’s identity solution uses persistent identifiers from the Experian Digital Graph to extract value from onsite search data. Machine learning technology then categorizes these searches to understand consumer intent and create highly relevant audiences. By integrating Captify’s consumer intent data, advertisers can deliver more targeted and relevant ads on CTV platforms. This integration helps marketers reach viewers with content that resonates. Ensuring multi-channel message consistency Consistency in messaging across multiple channels is key for maintaining brand integrity and consumer trust. By using Experian's identity data, Captify ensures that advertisers can deliver cohesive messages across various platforms, including TV, digital, and radio. This integration not only enhances ad targeting precision but also solidifies the brand’s presence, ensuring that every touchpoint reinforces the same core message for a unified brand experience. Watch the full Q&A Visit our Ask the Expert content hub to watch Amelia and Chris’ full conversation. In their discussion, they cover identity beyond identifiers, personalized advertising strategies, and the evolving consumer journey. Amelia and Chris also share about interoperability challenges in CTV and how Captify is using alternative IDs like Unified I.D. 2.0 (UID2). Watch now Contact us About our experts Amelia Waddington, Chief Product Officer, Captify Amelia is Chief Product Officer at Captify, leading the Product, Engineering, Partnerships and Insight teams globally. During her three years at Captify, Amelia has delivered on her product vision to put Captify’s Search Intelligence in the hands of all advertisers—unlocking competitive advantage for clients and partners in a way that’s omnichannel, strategic, open and future-proof. She has launched Captify's Advanced TV, cookieless and data partnerships product lines. Amelia brings over a decade of experience in driving product strategy, underpinned by expertise across data science, machine learning, and analytics. She has a PhD in computational neuroscience and previous roles include product leadership at LiveRamp and Aimia. Chris Feo, SVP, Sales & Partnerships, Experian As SVP of Sales & Partnerships, Chris has over a decade of experience across identity, data, and programmatic. Chris joined Experian during the Tapad acquisition in November 2020. He joined Tapad with less than 10 employees and has been part of the executive team through both the Telenor and Experian acquisitions. He’s an active advisor, board member, and investor within the AdTech ecosystem. Outside of work, he’s a die-hard golfer, frequent traveler, and husband to his wife, two dogs, and two goats! Latest posts

When people shopped in 2023 We also saw notable shifts in how, when, and where people shopped on Black Friday. One significant trend noted in our 2023 Holiday spending report was the increasing preference for early holiday shopping, particularly online. Consumers quickly responded to early discounts and promotions, which caused a surge in spending during October. Cyber Week, encompassing Black Friday through Cyber Monday, also played a significant role, accounting for 8% of total consumer holiday spending. 2023 trends we expect to see in 2024 As you gear up for the holiday season, understanding Black Friday trends from 2023 will be vital, as Black Friday 2024 is expected to see a continuation of several key trends alongside emerging ones: Mobile shopping will continue its growth trajectory. Consumers will keep seeking early deals. Marketers will prepare promotions sooner than ever. Flexible payment arrangements like “buy now/pay later” (BNPL) will drive conversions amid continued inflation. Channel switching will become more common. Paid search will drive the most sales. Let’s talk about what past trends and future predictions mean for your marketing strategy and how you can use them to inform your 2024 holiday campaigns. Emerging consumer behaviors Consumer behaviors and preferences have been changing and reshaping the Black Friday shopping landscape over the last few years. Looking ahead to Black Friday 2024, several trends from last year are likely to continue shaping the shopping experience. Early shopping The early holiday shopping trend will continue to become more pronounced. Many consumers now begin their end-of-year shopping well before Halloween, seeking to take advantage of early deals and discounts, enjoy more time to compare prices and products, avoid crowds, secure popular items early, and spread out their budget. In 2023, Gallup found that one in four holiday shoppers even starts as early as September. This means your business must begin planning sales and promotions earlier in the season and roll them out sooner. The value of experiences We’re seeing an interesting shift toward gifting experiences over physical items among consumers with more disposable income. In a 2023 survey, one in five respondents said they’d prefer to get an experience as a gift over an item. Those in higher income brackets are allocating more of their holiday budgets to experiences that create lasting memories, such as theme park passes, art classes, concert tickets, and so forth. This trend will require retailers to get creative, potentially: Hosting giftable in-store events Enhancing the in-store experience Using experiential marketing to make deeper consumer connections Partnering with other companies to provide bundled gift/experience packages Preference for digital channels Media consumption habits and preferred engagement channels are also undergoing significant changes. Consumers increasingly turn to digital channels like streaming TV and connected TV (CTV) for entertainment and information. CTV ad spending, in particular, is expected to grow by 20% in 2024 and by low double digits into 2027. This shift will influence how retailers reach and engage with consumers, and it underscores the importance of digital marketing strategies and personalized online experiences. Mobile vs. desktop online spending The preference for mobile over desktop for online transactions is growing; in 2023, mobile devices comprised 54% of online sales, with online purchases up 10.4% from 2022 on Black Friday. More and more, consumers are using mobile devices to research, browse, and buy online. Marketers need to optimize their mobile and website experience to make the shopping experience seamless across all devices. Key products and categories Research has shown that the most popular in-store purchases of Black Friday weekend in 2023 included clothing/accessories and electronics. 82% of shoppers bought clothing in-store to inspect colors, material, and fit 73% said they would buy electronics in store to compare quality These categories were followed by: Health and beauty (49%) Household appliances (44%) Sports/leisure (32%) Interestingly, the same categories were also the top sellers online during Cyber Week 2023, with 79% of buyers seeking clothing/accessories and 66% intending to purchase electronics. Amazon was one of the most popular shopping destinations for Cyber Week 2023, with over a billion items sold. Some of the top-selling items included the Amazon Fire TV Stick and Ring Video Doorbell. This indicates a consistent consumer preference across different shopping channels and suggests shoppers are comfortable buying a wide range of products online, even during traditional in-store shopping events. Looking ahead, retailers can reasonably anticipate continued demand for clothing/accessories and electronics, both in-store and online. Marketing strategies that worked Last year was a year of growth, albeit slow growth, despite economic uncertainty. Here are some of the marketing strategies deployed that contributed to this growth. Influencer collaborations Data from a 2023 Black Friday report showed that seven of every 10 shoppers acknowledged an influencer’s role in their purchase decision. Partnering with influencers to promote Black Friday deals and hosting live streaming sessions with influencers showcasing products helped reach new audiences and build credibility. Influencers' recommendations resonated strongly with their followers, which drove traffic and increased sales. Cross-channel marketing campaigns Black Friday gives marketers a unique opportunity to engage audiences across touchpoints. Using a mix of channels, such as social media, email, websites, SMS, in-store promotions, and print media, tends to create more impactful campaigns. Last year proved to be diverse in terms of marketing channel mix. Marketers embraced a cross-channel approach to connect with their users during holiday sales, which was evident in the increased usage of channels like email, SMS/MMS, web push notifications, and emerging channels like Roku messages. Using multiple channels to promote Black Friday deals increased visibility and reached a wider audience. This comprehensive approach ensured marketing messages reached customers wherever they were. To maximize sales during the Cyber Five holiday season, activate Experian audiences as part of your omnichannel campaign. Our offerings include meticulously curated behavioral segments based on discount indicators such as Black Friday, Cyber Monday, and Coupons/Sales. These segments help you target shoppers who are ready to take advantage of your promotions and are primed for early conversion. Our marketing data was ranked #1 in accuracy by Truthset, which means you can power smarter marketing initiatives, like insights, targeting, and measurement, using the highest-rated data. App-only deals In 2023, mobile app sales increased by 2% from 2022, generating a 12% increase in app purchases and $2 billion more in revenue than the year before. Businesses offering exclusive deals through their mobile apps incentivized customers to download and use the app for their purchases, which helped boost sales through a dedicated channel. Limited-time offers Time-limited offers are the essence of Black Friday and Cyber Week, giving shoppers a timeframe for getting the lowest prices of the year on certain products. Creating urgency is a highly effective way to get people to make a faster purchase decision. Bath & Body Works is exemplary at using limited-time offers; once a year around Black Friday, they run a “Buy 3, Get 3” sale on the whole store for a single day, which encourages customers to stock up while getting their holiday shopping done. Flash sales and hourly deals are shorter limited-time promotions that generate excitement, traffic, and sales. By highlighting specific products with steep discounts, retailers encourage customers to make instantaneous purchases. Amazon is known for these, which they refer to as Lightning Deals or product discounts available for only a few hours. Early-bird discounts and exclusive previews Retailers wanting to avoid overcrowded stores or website crashes can reward those who shop early with exclusive discounts or sneak peeks into Black Friday deals. This creates a feeling of urgency and privilege that leads to a purchase. Best Buy offers its Best Buy Plus and Best Buy Total members exclusive savings during a sale period just for them. They get early access to discounts toward the end of October, after which they open up their early bird deals to the public. Predictions for Black Friday 2024 Based on what we’ve seen in 2023, we expect the following trends to shape consumer behavior on Black Friday and beyond in 2024. Consumers will use their phones to shop more often than they already do Mobile shopping is easy and discreet, allowing customers to shop from anywhere while staying on top of sales. Black Friday mobile orders increased from 2022 to 2023, with over 50% of all Black Friday sales occurring on smartphones. This indicates a growing trust in smartphone transactions among shoppers, which is why 2024 will likely reflect this trend. As a marketer, this means you should ensure your website is optimized for smartphones and tablets. Ensure load speed is quick, navigation is simple, designs are intuitive, and mobile payment options are available. You also have an opportunity to invite your customers to sign up for SMS or push notifications so they can shop deals immediately after they’re rolled out. While mobile should be a priority, we still recommend investing in multiple channels to capture online shoppers everywhere they’re buying. Our Graph can help you unify data, capture user activity, and view your target audience holistically to optimize ad spend, allocate resources effectively, and improve ROI. Marketers will start preparing their Black Friday campaigns earlier than ever With increasing market competition and pressure to accommodate early bird deal seekers, marketers will likely start preparing their discounts, inventories, and promotional materials earlier in the summer. Data enrichment can help you prepare early Black Friday promos by providing deeper insights into your customers and what they want. Enriching your existing data with behavioral, financial, and demographic information can help you create precise audience segments and personalized content, anticipate customer preferences, optimize channel placement, and tailor your promotions effectively. On average, Experian has 250 behavioral and demographic marketing attributes per individual, which means we can decorate households and people with marketing data to get a full customer profile and fill in any gaps you have on your audience. You can also consider implementing sell-side targeting to help your promotions reach the right people. If you plan to run early promotions, try not to create deal fatigue among your consumers. Focus on building a few high-quality promotions that will attract your target customers. BNPL arrangements will become more common for conversion Given lingering inflation in the U.S., consumers will still be looking for ways to stretch their money this year, and many shoppers may seek out BNPL arrangements. With so many shoppers wanting the financial convenience of making large purchases without the immediate financial burden, marketers can use data enrichment to identify their target segments most likely to use BNPL and create personalized offers and promotions for them. Your strategy should include high-value offers and messaging that appeal to budget-conscious shoppers and a checkout optimized for BNPL options. Channel switching will surge Black Friday and Cyber Monday sales are starting to become channel-agnostic, with consumers browsing online, on mobile apps, in physical stores, and on social media. As such, they expect a unified experience wherever they browse. Any inconsistency can disrupt the purchase journey and deter potential buyers. As the shopping experience becomes more connected, consumers are moving between channels more frequently, which means integrating data from various touchpoints will be crucial to understanding and predicting customer behavior. Marketers must develop cohesive omnichannel strategies with consistent messaging and promotions across channels. Your campaigns should span multiple channels so customers can engage with your brand in various ways. We work with major platforms, marketers, and agencies, which means we have existing partnerships across the ecosystem for you to connect with and bring your consumer data to life to meet your needs. Paid search will drive the most sales Research from Adobe shows paid search as the top sales driver of Cyber Week 2023, comprising nearly 30% of all online sales. Due to the high-intent customers captured by paid search and the surge in shopping on mobile devices, we expect to see paid search drive much of the Black Friday sales in 2024 — especially as advances in data analytics and AI allow marketers to optimize paid search campaigns more effectively. They can analyze vast amounts of data to refine keywords, ad copy, and bidding strategies for higher ROI and better targeting. In 2024, it's essential to prioritize paid search strategies and focus on using relevant, high-performing keywords for your campaigns. You can continuously refine your strategies using AI and data analytics to target high-intent customers. Additionally, integrating insights from customer behavior data will help you create more personalized, impactful ad copy and heighten the effectiveness of your paid search efforts. Experian can help you win Black Friday 2024 Want your marketing campaigns to stand out and reach your audiences on Black Friday this year? Partner with Experian to create data-driven, targeted, impactful 2024 holiday campaigns. Download our 2024 report here Download our 2025 report with GroundTruth here Our data empowers you to gain valuable insights and optimize your holiday marketing strategies. We can connect online and physical transactions to our Experian household ID for a holistic view of customer behavior, connect ad exposure with foot traffic, or employ control group lift analysis to measure campaign effectiveness. By activating our purchase-based holiday audiences, like last-minute and one-stop holiday shoppers, you can reach the segments most likely to spend with you. Integrating with over 150 channels, we’ll help your campaigns reach your audience wherever they are. You can even utilize our connections to various digital platforms and partners to expand your reach. With Experian’s measurement offerings, you can make data-driven decisions about your activation strategies. Engage the right audiences and drive exceptional results this holiday season with Experian. Get started Latest posts

At Experian, we power data-driven advertising through connectivity. Today, we're excited to introduce our newest offering, which helps drive that connectivity: Experian's Collaboration in clean rooms. This offering is now generally available in InfoSum, AWS Clean Rooms, and others. Experian can now facilitate successful data collaboration across multiple secure environments, such as at Experian, through crosswalks, and now in clean rooms. Whether you are a marketer or partner, introducing Experian’s signal-agnostic offline and digital identity graphs into your clean rooms lets you run identity resolution directly in the clean room. This means your data remains secure, while you and your partner experience higher match rates and you maximize your clean room investment, leading to: More resolved data More valuable insights and smarter activation More accurate and complete measurement A leap forward in data collaboration Backed by Experian’s Global Data Principles, Experian's deep roots in identity and data security offer the most effective and trusted ways to match data and protect consumer privacy. Our signal-agnostic approach means we can resolve all types of offline and digital identity signals, which is valuable now and will become even more valuable as third-party cookies go away. Additionally, data hygiene is built right into our collaboration offering, helping to improve match rates. The benefits of working with Experian’s rich identity data in a clean room environment are obvious so it is no surprise to see that 55% of data clean room users are using identity solutions in data clean rooms. What are data clean rooms? Data clean rooms are a tool typically used for data sharing, built on top of cloud providers such as AWS clean rooms. They protect data privacy while facilitating data collaboration among clients, marketers, businesses, and their partners. As the industry places greater emphasis on data security, clean rooms have emerged as secure environments that allow companies to: Enhance user privacy protection Minimize the impact of cookie deprecation Secure collaboration with data partners The industry has quickly realized that, for what clean rooms offer by way of privacy and security, they lack resolution capabilities, typically yielding subpar match rates. Benefits of Experian's Collaboration in clean rooms offering Built upon Experian’s rich offline and digital identity foundation, with support for various identifiers across platforms, Collaboration in clean rooms helps clients maximize the value of their data and meet the diverse needs of modern business. Through Experian's Collaboration in clean rooms offering, you can: Collaborate with partners for richer data insights Achieve higher match rates Improve audience building Produce more accurate and complete reports Ensure data privacy Regardless of the identifier type you are looking to collaborate on, Experian has the identity data to support you and your partner. This leads to higher match rates and more resolved data for you to use to benefit your media initiatives. Get started with Collaboration in clean rooms today Get the most out of your first-party data with Collaboration in clean rooms, which is essential for businesses that want to compete in a fast-paced market and connect with consumers in today’s data-driven world. We understand the importance of data collaboration and make seamless, secure data sharing possible between partners. Connect with us today to find out how Experian's Collaboration in clean rooms offering ensures privacy while allowing you to extract valuable data insights for smarter data-driven advertising. Start collaborating Latest posts