The digital advertising landscape has undergone a seismic shift in recent years. Privacy-conscious consumers, transformative regulations, and emerging technologies are converging to redefine how addressability — the ability to accurately reach a specific audience — functions in this new era. Addressability is a cornerstone of digital advertising, and its evolution presents both challenges and opportunities for publishers and advertisers alike.
The need for enhancing addressability is driven by a complex set of factors. More consumers are opting out of data sharing or disabling cookie-tracking, leading to a drastic reduction in the reach of traditional programmatic advertising. Nearly 70 percent of consumers are now unreachable through these conventional methods, creating an ‘addressability gap’ that publishers and advertisers are eager to bridge. The landscape is further complicated by privacy regulations such as General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA), which mandate solutions that balance user privacy with advertisers’ needs.
Contributing to this intricate mix is the growing shift toward video and connected TV (CTV). These platforms have long operated in a cookie-less environment and are witnessing rising demand due to their engaging nature and broad reach. However, the attractiveness of these mediums to advertisers hinges on effective addressability, highlighting the urgent need for innovative audience identification and targeting methods.
The emergence of data enablers and collaborative initiatives
Data enablers like Experian are stepping up to meet this need. These companies are providing robust, privacy-compliant data resources to improve addressability. Experian’s unique approach to identification, the Living Unit ID (LUID), is a key tool in bridging the current gap in reach.
How Experian and Microsoft Advertising are redefining addressability
We recently expanded our collaboration with Microsoft, to make our extensive data resources available through Microsoft Advertising’s data marketplace. This collaborative initiative represents a significant move, offering a compelling model of how data enablers and buy-side and sell-side platforms can work together to redefine addressability.
The benefits of this arrangement extend to all stakeholders in the ecosystem. Advertisers using Microsoft Invest can now access Experian’s audience data. This not only enhances the granularity of their audience targeting but also broadens the reach of their campaigns. Experian’s identity spine also serves as a robust framework to extend the value and reach of advertisers’ first-party data.
For publishers, the accessibility of Experian data on Microsoft Advertising’s data marketplace opens the door to greater addressability in their inventory, enabling them to offer advertisers more addressable impressions. This then amplifies the value of their inventory, potentially increasing their overall yield. For advertisers, this integration facilitates access to highly relevant audiences while simplifying campaign setup and respecting user privacy.
We can help you carve a new path toward addressability
In the ever-evolving landscape of digital advertising, such collaborative efforts are becoming critical to ensure that advertising remains effective for brands, profitable for publishers, and respectful of consumer privacy. This model of cooperation and innovation is essential to navigate the challenges of a privacy-centric, cookie-less world and unlock the true potential of every media channel.
With collaborative initiatives and innovative solutions, the industry is set to transform these challenges into opportunities, carving a new path toward addressability that respects privacy and delivers value for all stakeholders. Connect with us to learn more about how you can access our data in Microsoft Advertising’s data marketplace.
To learn more about our partner Microsoft Advertising, visit their website.
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The holiday season is right around the corner and retailers are gearing up for a massive influx of customers, both new visitors and returning loyal patrons. But, organizations need to make sure they’re prepared to handle the influx of business. Data quality should be a priority for retailers at any time of year, but even more so as the holiday season approaches. During this time, it’s important for companies to provide customers with relevant shopping offers. When consumers shop for holiday gifts for their friends and families, they have countless directions to which they can turn. In order to prevail in competition, retailers need to provide customers with relevant offers and messages. Unfortunately, many businesses fall short in this regard. According to recent research from Experian QAS, organizations feel that, on average, 25 percent of their data is inaccurate. Consumers are frantically looking to find deals on products that meet their holiday needs, but loyalty offers may not be reaching consumers. One reason for the difficulty is the messy nature of companies’ customer databases. Retail businesses are working hard to gather as much information as possible about the consumers who patronize them, but all too often, information is riddled with errors. These errors have become more prevalent in recent years due to the proliferation of mobile apps, web interfaces and social media channels. There are so many different channels that companies now interact with people through an average of 3.27 channels. This poor data quality is hurting organizational bottom lines. Experian QAS found that an average of 12 percent of departmental budgets are wasted due to inaccuracies in contact data. During the 2013 holiday season, consumer spending is expected to increase by at least 11 percent. Retailers need to be certain that they improve data quality prior to the holiday season to ensure communications reach consumers and resources are maximized in order to take advantage of the expected increase. Be sure to check out our new data quality infographic.
Experian Marketing Services’ Head of Global Research Bill Tancer appeared recently on Fox Business News to talk about new holiday shopping trends, including why both retailers and consumers are starting the 2013 season earlier this year. “We are seeing the eventual extinction of Black Friday,” says Tancer. “What we see in our data is that retail is really changing. The consumer is relentlessly searching for that deal.” In fact, as Tancer notes, the hyper-connected, digital consumer is already searching for holiday deals. Hear more from Tancer in this clip. Watch the latest video at video.foxbusiness.com Tancer and other Experian Marketing Services data experts will discuss holiday marketing trends at an upcoming webinar; register for more insights and tips.
On some level, collecting data and analyzing it to find meaningful conclusions has always been part of how marketers go about connecting with consumers. Their strategies have improved dramatically over time, though. Perhaps in a previous era, marketing executives were only able to make sweeping generalizations about large swathes of the population. But, as marketers have gathered more data on individual consumers, they’ve found ways to fine-tune their searches. They’re no longer messaging to groups in vague terms. Smart Data Collective recently examined the marketing world’s transition away from broad stereotyping toward better targeted forms of data mining. Josh Brown, a member of the marketing team at business and IT consulting company Iconic Mind, argues that this era of overgeneralization is coming to an end. We now have the capability to zoom in on the specific customer. “Big data is how successful companies are building more detailed models of consumer behavior,” Brown wrote. “Instead of relying on the traditional demographic models that marketers used when we were operating in a mass consumption environment and had nothing better, big data capitalizes on developing market trends to allow businesses to become far more specific when segmenting their customers.” Brown cited Amazon.com as an example. The online superstore is notable for its targeted recommendations of products that shoppers see every time they log on to the site – the advisements are impressive because they’re usually right up the customer’s alley. Amazon doesn’t generate these ideas by making guesses based on whether the consumer is old or young, male or female – instead, the site takes in specific information about people’s buying histories and looks for similar products. This approach is quickly becoming mainstream. It’s not hard to understand why – people don’t like being reduced to profiles of their demographic characteristics. Consumers are expecting more from the companies they do business with. Thanks to the rapidly improving technologies that companies use for data collection, marketers can be more targeted and make more intelligent interactions. However, to take advantage of these new technologies, marketers need to maintain high quality data. Without a data quality strategy, customer information will be spread out across the organization, making it difficult to make intelligent marketing offers. To learn more about improving your understanding of consumers, check-out our infographic on building a single customer view.