
Ditch the cookie, not the data with the next evolution of contextual targeting
Today, we’re excited to announce Contextually-Indexed Audiences, a game-changer in contextual targeting. Experian’s new solution offers advertisers a powerful, privacy-safe solution that combines the precision of deterministic audience targeting with the flexibility of contextual targeting. Powered by real-time analysis from two million websites, access to 1,400 trusted audience segments, and easy activation through the top demand-side platform’s contextual marketplace or Audigent private marketplaces (PMPs), this solution offers advertisers a scalable way to reach their target consumers.
With this solution, advertisers can reach consumers on websites that over-index for visitors with the demographics, behaviors, or interests, they are looking to target. For example, an automotive brand can select Experian’s “Contextually-indexed in-market for a luxury electric car” audience segment and reach consumers when they are browsing websites that often attract that exact segment. Best of all, this is done in a privacy-safe way since it’s not reliant on cookies, mobile ad IDs (MAIDs) or other user identifiers.
How Contextually-Indexed Audiences work
Contextually-Indexed Audiences harness advanced machine learning technology to move beyond traditional keyword-based strategies. The solution works in three steps:
- First, it analyzes traffic from over two million websites and mobile apps to identify the types of frequent visitors to those platforms.
- Next, using Experian’s Digital Graph, it resolves the identities of those visitors and maps them to more than 1,400 of Experian’s Syndicated Audiences, determining which audiences are most overrepresented on each site.
- Finally, the relevant audiences are assigned to those sites, allowing advertisers to deliver ads to people in those audiences while they are actively browsing the websites — without relying on user identifiers.

Customer success story
A leading auto manufacturer was among the first clients to activate this new solution while we were in beta. The goal was to identify new contextual targeting solutions that focus on privacy while maintaining scale and performance. The client identified two key target audiences: first-time vehicle buyers and experienced buyers. The initial campaigns using this new solution were highly successful. Even as the campaign scaled to twice the original volume, it continued to deliver three times the targeted click-through rate (CTR) goal.
“Partnering with industry leaders like Experian, we’re pushing the boundaries of contextual targeting with innovative data strategies that offer buyers greater flexibility and improved performance. These advanced contextual solutions are exciting as they not only drive results but also have the same privacy safeguards as traditional contextual targeting.”
Matt Griffith, CTO & Co-Founder, Audigent
Benefits of Contextually-Indexed Audiences
- Accurate consumer reach: Real-time integrations with over two million websites and apps coupled with machine-learning indexing technology ensure audience segments are constantly refreshed, which means advertisers reach consumers based on their latest habits.
- Privacy-safe audience targeting: These audiences are not reliant on cookies or any other user identifiers for targeting.
- Audience customization: Create the right audience segment for your campaign by using a combination of over 1,400 audiences across 12 data categories like demographics, politics, health, travel, finance, and TV.
- Flexible activation: Activate these audiences instantly in the top demand-side platform’s contextual marketplace or utilize our partnership with Audigent to create a custom private marketplace (PMP), where they can be activated across any media buying platform. When using a PMP, advertisers benefit from additional performance optimization capabilities.

Experian’s Contextually-Indexed Audiences offer advertisers a powerful solution that combines the precision of audience targeting with the flexibility of contextual targeting. With real-time analysis of over two million sites and access to 1,400 trusted audience segments, advertisers can reach consumers based on their exact behaviors and interests. This is done in a privacy-safe, yet scalable way since it’s not reliant on cookies or other user identifiers. Whether activating instantly through the top demand-side platform or customizing through Audigent PMPs, this is the future of audience targeting.
Ditch the cookie, not the data, and elevate your strategy today.
Contact us
Latest posts

Welcome! Who doesn’t like a warm welcome? Whether your customer is walking into your store or just signed up on your website to receive communications from you, she expects a warm reception. It’s important to make that first impression count. A welcome series helps the conversation open up between the customer and your brand. It sets expectations on the types and cadence of content the customer will receive. Welcome emails also garner 86 percent higher open rates than regular promotional mailings – not too shabby! In a recent webinar, Saks Fifth Avenue shared that they are constantly testing new and current programs to optimize the customer experience. As a result, they discovered that switching from batch-sending welcome emails to sending welcome messages in real time increased open, click and redemption rates significantly. Here’s an example of their welcome series: Saks’ results are consistent with Experian Marketing Services’ welcome email findings which indicate that emails triggered in real time receive up to 10 times the transaction rates and revenue per email vs. those that are batched. A welcome series has also been shown to increase retention by educating customers on new ways to use products and services they’ve purchased from your brand. These emails also can remind customers of the benefits they’ll reap from enrolling in your loyalty programs or credit card. … and welcome back Even if a customer has been welcomed and has interacted with your programs, a day may come when the customer goes silent. Reactivation campaigns are an effective way to get them to re-engage. Naturally, it’s important to target your dormant customers in a variety of channels so you can reach them more effectively. Maybe you’re wondering why I jumped from the warmth of a welcome series right into reality of needing a reactivation campaign. The reason? Marketers need to understand where a customer is in their lifecycle and come full circle with customers if they have parted ways. Marketers can pique the interest of a returning customer by telling them what’s new and reintroducing them to their brand. Carnival® Cruise Lines, for example, sends a welcome-back email that features the newest social networks, offers and deals its customers can take advantage of immediately. At the end of the day, customers expect to receive relevant and engaging messages throughout their entire relationship with a brand. Customer life cycle programs deliver just that. If you’re interested in learning more about welcome campaigns, waitlist/back-in-stock programs and other remarketing strategies, check out our webcast, Driving revenue through customer lifecycle marketing featuring Josh Pratt, Director of Email & Promotions for Saks Fifth Avenue and Saks Fifth Avenue OFF 5TH. Contact us today

It seems that every time I go into a store today, I am offered a loyalty card. From one of my favorite local restaurants to my shoe store VIP program, I feel like I am getting a host of emails and points at every turn. Statistics support my theory: according to a recent Experian Data Quality study, 91 percent of organizations use loyalty programs. Why did they become so prevalent? Today’s consumer is more empowered than ever before and driving major change within business. In the era of Yelp, digital channels and a 24/7 shopping cycle, organizations have less control. Just look at the shoe market, which you can tell I pay attention to. It used to be that you would purchase whatever your local department store or brick-and-mortar retail had to offer, which might be 50 different options. Now, you can go online, read reviews and browse hundreds of different choices based on style and color. In fact, last night I went online and searched for black boots and scrolled through six pages of different options! Loyalty programs are a counter balance to that choice and empowered customer behavior. They make sure that while I am shopping for shoes, I am probably doing it through my preferred store and earning reward points for free merchandise. And through the loyalty process, companies are collecting a lot of data. Customers usually need to provide more than three types of information to sign up, the most popular being email, followed by name and phone number. However, collecting this information accurately isn’t always easy, which is why poor data collection is one of the leading problems for loyalty programs. Eighty-one percent of companies face challenges related to these programs, the two biggest being not enough customers signing up and poor contact data. Inaccurate data means that a customer has signed up, but the marketer is unable to communicate with them in the desired channels. This clear drop in communication and a potentially bad customer experience could be by improved data collection. Sixty-four percent of respondents say this is a needed improvement. Let’s go back to my shoe retailer example. If they had collected my email wrong, I wouldn’t get my email confirmations or offers around upcoming sales. If they got my address wrong, I wouldn’t be receiving my shoes. Considering how much money I spend on shoes annually, which I am ashamed to admit, if any of those items went wrong, I might switch to a competitor. That can equate to a lot of money annually, especially when you look at it across a large number of clients. When a customer chooses to sign up for a loyalty program, they are making a commitment to the company and expecting something in return, be it points, free shipping, coupons or just company updates. However, if bad contact information is collected, then the consumer often never receives the benefits, resulting in a bad customer experience. In the next year, marketers need to data validation in place to ensure information is accurate upon collection. This type of software can be implemented across all channels where information is collected and ensure data is accurate while the consumer is still engaged. If information is accurate when it is collected, then loyalty programs have a better chance at engaging consumers and actually seeing the benefit that a loyalty program can provide. To learn more about loyalty programs and the research mentioned above, please read our new white paper, Driving customer loyalty. Contact us today

Black Friday online traffic increased 7% in 2012 versus 2011 as the top 500 retail sites received more than 193.8 million total US visits. So far this Holiday week of online traffic to the top retail sites is up 10% on average. Online retail traffic was up 1% on Black Friday compared to Thanksgiving Day 2012 traffic this year. Amazon.com remained the top visited retail site on Black Friday while Walmart was the second most visited retail site. BestBuy moved up to the 3rd most visited site while Target was the 4th most visited site. JC Penney moved up from being the 8th most visited retail site on Thanksgiving Day to the 5th most visited on Black Friday. Among the top 5 sites, JC Penney saw the biggest day-over-day growth at 26%. Looking at the top 20 retail sites on Black Friday, the Apple Store site saw the biggest day-over-day growth at 99%. Check back for CyberMonday insight and a weekly recap of this week. Contact us today