
With the impending deprecation of third-party cookies, marketers find themselves at the crossroads of innovation and adaptation. As we bid farewell to this identifier, the emphasis shifts to forging deeper connections, understanding customer needs, and navigating the marketing landscape with data-driven precision. At Experian, we stand as your trusted partner, committed to guiding you through this transition. In this blog post, we’ll explore:
- How third-party cookie deprecation is impacting digital advertising
- Six alternatives to third-party cookies and where they fall short
- How Experian can help you navigate a cookieless world
Four ways third-party cookie deprecation is impacting digital advertising
Third-party cookie deprecation is causing significant challenges within the AdTech industry, manifesting in four key areas:
- Reach: Advertisers and demand-side platforms (DSPs) will face difficulties in reaching their target customers due to the absence of third-party cookies.
- Understanding audiences: Advertisers will find it challenging to understand the demographics and behaviors of their customer base without third-party cookies. Similarly, publishers are struggling to identify their audiences accurately, resulting in less addressable and appealing inventory.
- Measurement: Measurement providers may encounter obstacles in accurately assessing the effectiveness of advertising campaigns. Additionally, DSPs are finding it hard to measure the impact of their ads without the assistance of third-party cookies.
- Matching: Data providers may experience challenges in matching users with the appropriate audience segments, leading to difficulties in delivering targeted advertising.
Six alternatives to third-party cookies
As the deadline approaches for Google’s removal of third-party cookies from Chrome by the end of 2024, marketers are scrambling to discover alternative methods for delivering effective advertising. Fortunately, various alternatives are emerging. However, the abundance of options can create confusion rather than clarity. Which alternatives are worth considering? Here are six compelling alternatives to third-party cookies:
1. First-party data
Acquiring consented first-party data directly from users is becoming increasingly vital as it can lay the groundwork for more precise targeting.
2. Universal IDs
Alternative identifiers like The Trade Desk’s UID2 and ID5’s Universal ID are becoming increasingly important, offering the ability to maintain a comprehensive consumer view across channels and platforms, leading to enhanced personalization and addressability across various channels, even in cookieless environments.
3. Identity graphs
As browser-based IDs shift and digital signals decline, the need for an identity graph grows, with companies adopting a “graph-of-graph” strategy by combining their own robust first-party data with licensed identity graphs, as highlighted in recent announcements by industry giants such as Disney, VideoAmp, and Magnite.
4. Contextual targeting
Contextual targeting aligns publisher content with relevant ads, ensuring ad delivery based on content rather than individual identifiers. This privacy-respecting approach is less dependent on third-party cookies, providing effective audience activation.
5. Data collaboration
In a cookieless world, it becomes more difficult for companies to “communicate” with one another. We expect to see more pick up of data collaboration in the market, using addressable IDs and identity resolution to power connectivity between partners and their data sets.
6. Google Privacy Sandbox
The primary goal of Google’s Privacy Sandbox is to continue to deliver valuable consumer information that yields relevant marketing and media strategies, while protecting a user’s privacy.
How these alternatives to cookies fall short
While it’s promising to see numerous alternatives to cookies emerging, it’s essential to recognize that each alternative has its limitations and is not a perfect one-to-one replacement for third-party cookies. Let’s review the shortcomings of these alternatives, and then we’ll walk through how Experian can help you navigate these alternatives to cookies.
1. First-party data
First-party data, which is data directly collected from your users with their consent, is highly valuable. However, you will likely face limitations in terms of the number of consumers in your database, the identifiers linking them, and the insights into their demographics and behaviors. To overcome these limitations, it’s essential to expand both the quantity and quality of your first-party data.
2. Universal IDs
Universal identifiers are valuable for tracking users across different devices and websites. However, no single universal identifier has enough reach to fully replace third-party cookies. Universal IDs are most effective in terms of scaling, when they are combined with other universal identifiers or alternative addressable identifiers.
3. Identity graph
Identity graphs excel at connecting digital audiences. However, establishing an identity graph from scratch is a significant accomplishment, demanding expertise, financial resources, and more.
4. Contextual targeting
Contextual targeting and advertising aim to place your ads next to relevant content. However, there’s a risk that your ads might appear alongside misaligned content, reaching audiences who are uninterested or unintended.
5. Data collaboration
Data collaboration is beneficial for enhancing your consumer data and informing your strategies. However, it can introduce potential data security risks, if not done in the right framework, and may lead to subpar matching results due to issues like data hygiene or discrepancies in identifiers.
6. Google Privacy Sandbox
Google’s Privacy Sandbox aims to balance effective advertising with consumer privacy and data security. However, it lacks transparency and has yet to prove its effectiveness, raising concerns about whether it meets industry standards.
How Experian can help you navigate a cookieless world
As an industry innovator and leader in data and identity, we’ve developed solutions to address the challenges posed by the shift away from third-party cookies. Our products are designed to adapt to these changes and ensure your success. We’ve anticipated industry shifts and proactively prepared our offerings to support you through this transition. Below we outline how our products are ready to support you through the transition away from third-party cookies.
Graph
The Experian Graph facilitates connectivity without relying on cookies. Our Graph helps ensure connectivity by supporting a variety of addressable identifiers, not limited to but including universal IDs, like Unified ID 2.0 (UID2) and ID5’s universal ID. Whether you have first-party data or not, our Graph can be used to expand the reach of your first-party data or provide you with access to the full scope of our Graph’s 126 million households and 250 million individuals.
Activity Feed
Supported by our Graph, Activity Feed can help you deliver digital connectivity and resolution in a cookieless environment. Activity Feed can resolve disparate activity to a single, consumer profile. It can expand the quantity of addressable identifiers associated with your first-party consumers. Additionally, Activity Feed, by joining disparate activity and identifiers, provides clearer insights, more addressable targets, and more holistic measurement.
Our Marketing Attributes and Audiences
In a cookieless environment, our Marketing Attributes and Audiences provide valuable information and insights about who your consumers are, like their demographics, shopping patterns, and more, to facilitate more informed decision-making. You can use our Marketing Attributes and Audiences to enrich your first-party data, giving you crucial insights into your customers so you can make informed, strategic decisions. They can be matched to universal identifiers, expanding their utility. Additionally, our Marketing Attributes and Audiences are sourced from non-cookie dependent offline and digital sources, ensuring they are unimpacted by third-party cookie deprecation.
Collaboration
While third-party cookies have primarily served to connect data in the industry, many companies are turning to data collaboration in lieu of having third-party cookies. In doing so, they can connect data with key partners, which they can use to make better media decisions.
Experian Collaboration helps make data collaborations better, powering higher match rates by using the various identifiers supported in our offline and digital graphs. Through our current support of collaboration in three environments, within Experian, through crosswalks, and in clean rooms, such as AWS, InfoSum, and Snowflake, we ensure that you only share the data you intend to share, while the sensitive information remains secure. This way, your partner and you can focus on how to use the data to benefit you and not on anything else.
Get started with alternatives to third-party cookies today
While many view the deprecation of third-party cookies as disruptive, we see it as an opportunity for the industry to embrace a new era of advertising while prioritizing consumer privacy. Achieving this balance is crucial, and Experian’s solutions are here to help you navigate it effectively. As the AdTech industry gravitates toward a few tactics to effectively advertise in the cookieless future, Experian is here to understand your core needs and recommend products that will help.
In a rapidly evolving marketing landscape, Experian stands as your trusted partner, offering expertise in data-driven and identity solutions. Connect with our team to seamlessly transition into these alternatives to third-party cookies, ensuring your marketing strategies remain effective, privacy-compliant, and focused on meaningful connections.
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As the pandemic took hold of the country and stay-at-home orders were put in place, one of the consumer categories that was most adversely affected was the restaurant industry. But while sit-down restaurants were forced to pivot to curbside delivery and other inventive means to make ends meet, quick-service restaurants (QSRs) that already had a solid delivery program or drive-through in place saw a surge in new guests. “Dinner and a movie” took on a different meaning as people either picked up or ordered in to make date night happen, and QSRs rose to the occasion like never before. With some states beginning phased re-openings of non-essential businesses, some restaurants are now allowed to open so long as they follow social distancing rules or allow for outdoor dining areas. But that doesn’t mean consumers will be ready to race out and participate in this new dining experience. Many may remain apprehensive about safety and continue to “dine at a distance” until they’re confident that they can remain healthy, or until a successful vaccine goes into use. Even as states begin their phased re-opening plans, many continue to work from home—which has greatly affected both dine-in and QSR venues. Those who saw a robust lunchtime crowd probably saw a drop-off while business-based locals shifted their office plans. However, new opportunities have emerged for restaurants to reach out to their regular lunch crowd to offer delivery or attract a whole new lunch crowd who may not have thought to order from them before. Between the challenges of a post-pandemic world, a shifting of diner priority, and an uncertain future facing the restaurant world, it’s now more important than ever before to leverage an intelligent, data-driven marketing strategy to ensure your campaigns reach the right consumers, and also attract new customers to expand your customer base over time. All of this can be done using the power of data, but having the right data is key to making the most of your marketing efforts. As you’re crafting your current marketing plans, it’s important to look at all the variables you need to address to create more targeted messaging, thus helping you zero in on your most desired consumer base. The first thing to consider is, how well do you know your guests, and what do you know about them? If you have no insight into their dining habits or preferences, it will be challenging to come up with messaging that will speak to them. But with the right data, you can discover if they frequent your competitor’s locations (and if so, how often), which apps they’re using to order food, which days of the week, and even which meals they are most likely to order. You can also use this information to better understand how often you factor into your customer’s dining plans by understanding if they are beginning to commute again, or continuing to work from home, and if the latter, do they live near one of your locations. Data can also help you discover more about who they are, so you can even further tailor your messaging to their needs. Let’s say your target customer is married with children. Addressing their busy life as a professional and a parent, and sharing how you can ease the burden of dinnertime to make life easier for them, may be exactly the kind of message of support they need to encourage them to reach out to you. Using data based on demographics, lifestyle, behavior, attitudinal and mobile location data can help you cook up a marketing strategy with precision and success, resulting in more diners knocking on your door (or at least, calling for take-out). Another key component to consider is the use of mobile location data, which Zeta Global cites1 as being the most important data chain restaurants can use for their marketing plans. Not only can this data be used to better understand share of wallet and potential up-sell opportunities, but it can also be leveraged to reach out directly to potential new customers that have historically frequented your top competitors. You can also use mobile location data to connect with consumers who may be more drawn to your restaurant because of your delivery or curbside pick-up options, and craft outreach based on that information that will encourage them to order with you. As Hospitality Tech pointed out2, building trust in a post-pandemic world is key for QSRs who want to continue to encourage loyalty with current guests, and entice new ones to place orders. The key to making that happen is data. By deploying marketing messages that resonate, activating them on the channels your guests use most, then measuring the impact of your campaigns, QSRs can create more opportunities for success and customer connection that can translate into real, long-term results. Plus, the right data can help you increase store traffic with high value guests, reactivate guests who haven’t visited in a while and find new individuals who live nearby that closely resemble your current high value guests. Experian has decades of experience in helping organizations better communicate with their customers across all marketing channels. How can we help you? Find out more about our restaurant marketing solutions. 1https://zetaglobal.com/blog/chain-restaurants-need-customer-data/ 2https://hospitalitytech.com/new-marketing-communications-playbook-during-covid-19

2020 has been a year of change and challenges for businesses and consumers alike. With the global pandemic, we have seen stay at home orders put in place, a shift to work from home for many, major events canceled, schools shifted to online format, graduations and other end-of-year activities canceled, and more. As we move through the phases of reopening, everyone is figuring out how to navigate the ‘new normal’ in the wake of new safety requirements, businesses are working to determine what their day-to-day operations will look like as they reopen. The changing times have implications on how consumers act, what and how they purchase, and how they manage their daily lives. With these changing times, consumers are quickly adapting their lifestyles which impacts the choices they make on how they shop, bank and provide for their families. Businesses across the United States are trying to understand how consumers are feeling during this time and how that might correlate with their visitation patterns. Using Experian’s Mobile Location data, coupled with Consumer Sentiment data, we looked at foot traffic and sentiment trends in the retail space throughout the pandemic. As you can see from the chart, there has been a steady increase in household visits to retail locations since March that correlates with the rise in sentiment. Note the differences in visitation patterns across the regions. You can see some foot traffic spikes, which correlate to reopening phases in several states during the week of May 4th and Memorial Day weekend. However, you see a lower average of foot traffic in the Northeast U.S. where reopening phases are rolling out at a slower pace. It is going to be essential for businesses to craft marketing strategies on a regional level as guidelines for reopening are the state-level. This means that a business’s consumers look different based on where they are located and might require more targeted and sensitive messaging. For example, using Experian’s Mosaic segmentation, we further delved into what consumers look like today by analyzing those Mosaics who have the most positive change in regard to the pandemic, versus those that had the most negative. You can see in the charts that there is a significant difference between the Mosaics trending positively versus those trending negatively. Consumer segments have drastically different sentiment, and foot traffic patterns and understanding how your consumers are feeling and where they are shopping will help improve your ROI. Having a comprehensive and targeted marketing plan will be essential for companies as they navigate the intricacies of reopening. Experian’s Reopening Package allows brands to take a phased approach to better understand and reach both new and existing customers through targeting, analytics and key insights. Companies can analyze their consumers’ sentiments and visitation patterns during the pandemic, segmented by Experian Mosaic® lifestyle segmentation group. Businesses can then take those insights and apply them to other models, or create their own models, to build out and run effective marketing campaigns that target current and prospective customers. A successful long-term marketing strategy needs to be data-driven, leveraging data and analytics to help craft targeted messaging. We can see that consumers want to shop again – foot traffic patterns appear to have increased since June, and sentiment is up – now it is necessary to understand where your customers fit into the spectrum. Missed our recent webinar, How COVID-19 Has Shaped Consumer Behavior for Retailers? Access the on demand version here.

Overview Chartable leverages The Tapad Graph to improve cross-device attribution rates and remove non-addressable IPs for clients. Challenge Chartable needs to differentiate between consumer and potential business IP addresses to provide accurate household modeling and reduce excess data for their customers. Podcasting generally only has access to IP addresses as a form of digital ID which limits its ability to connect activity to individuals and extend it across all devices. The Tapad + Experian solution Using Tapad, now a part of Experian, Chartable is able to cut through the noise of IP data and discard any addresses deemed a shared IP or business. Then, Tapad + Experian connects individual users to their other digital IDs and users in their household; creating a richer attribution model for Chartable customers. Increase in podcast attribution rates Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!