Contextual ad targeting paves the way for new opportunities
Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?
In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:
- The challenges causing marketers to rethink their current strategies
- How contextual advertising addresses signal loss
- Why addressability is more important than ever
- Why good creative is still integral in digital marketing
- Tips for digital ad success
By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.
Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!
Macro impacts affecting marketers
How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?
Jason: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.
Alex: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now!
Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.
Contextual ad targeting: A solution for signal loss
How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?
Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.
As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.
Alex: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:
- The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
- There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
- We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.
Addressability: Connect your campaigns to consumers
How does advanced contextual targeting help marketers reach non-addressable audiences?
Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.
One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.
Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.
Alex: Jason, you described that perfectly. I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.
It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.
Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.
It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.
Turn great creative into measurable data points
Why does good creative still play an integral part in digital advertising success?
Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. Good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.
Alex: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.
Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.
Our recommendations for marketers for 2023 and beyond
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason: Be proactive and start testing and learning these new solutions. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.
Alex: Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.
Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.
We can help you get started with contextual ad targeting
Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.
Find the right marketing mix in 2023
Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:
- New data on the complexity and uncertainty facing marketers
- Consumer trends for 2023
- Recommendations on finding the right channel mix and the right consumers
About our experts
Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.
Alex Johnston, Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.Yieldmo.com.
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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 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
In this article… Spending trends we saw in 2023 When people shopped in 2023 2023 trends we expect to see in 2024 Emerging consumer behaviors Key products and categories Marketing strategies that worked Predictions for Black Friday 2024 It’s hard to believe, but it’s almost time again for marketers to begin their holiday campaign preparations. Leading up to these preparations, it’s important to reflect on consumer trends from Black Friday 2023 and derive insights for the coming year to shape successful marketing strategies. Spending trends we saw in 2023 In 2023, consumer holiday spending was forecasted to rise at the slowest pace in five years due to inflation and cost of living concerns. Forrester reported that consumers weren’t spending less, but they were spending slower and paying less for what they bought to stretch their dollar further. Despite slower spending, data showed a 7.5% increase in e-commerce sales from 2022 to 2023, with a record $9.8 billion spent online and the most substantial growth of in-store traffic in recent years, up 4.6% from the previous year. Shopify even reported record 2023 Black Friday sales numbers offline and offline, reaching $4.1 billion, with significant spending across personal care, clothing, jewelry, shoes, and decor. Around 75% of these sales occurred on mobile and 25% on desktop. 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. According to Deloitte, 37% of shoppers have used these services historically, and these arrangements have proven to increase conversions by up to 30%. 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. 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