We’re excited to introduce the next segment in our Q&A series, Ask the Expert! Ask the Expert features a series of conversations with product experts where we dive into the areas you care most about like identity resolution, targeting, attribution, and more. Our next segment features a conversation about sell-side targeting.
Mike Chowla, SVP of Product at OpenX joins us to chat with Experian’s SVP of Sales & Partnerships, Chris Feo. OpenX is the world’s leading sell-side platform for audience, data, and identity targeting. In their conversation, Mike and Chris review:
- The shift to targeting on the sell-side
- How first- and third-party data are being used on the sell-side
- How OpenX is thinking about alternative IDs
What is sell-side targeting?
Sell-side targeting optimizes the way buyers and supply-side platforms (SSPs) work together. This approach moves the responsibility of inventory and audience targeting from the demand-side platform (DSP) into the SSP, providing advertisers with increased reach and better performance.
With sell-side targeting, locating your target audience becomes easier as you have a more direct connection with publishers. This increases your ability to scale against a target audience. Specifically, the SSP directly matches the buyer’s audience or data segment to the publisher inventory and audience and automatically sends the impression to the buyer’s DSP of choice via a deal ID, providing advertisers with improved reach and performance metrics as well as control over their inventory. With more direct access, your budget can likely go further, and you can decrease your effective cost per mille (eCPM) and get more working media.
“Supply-side targeting is the next phase of how supply path optimization (SPO) and buyers will need to work more closely with SSPs.” – Mike Chowla, SVP, Product, OpenX
Buying on the sell-side vs. open exchange
When buying on the open exchange, you have access to a vast number of impressions. With sell-side targeting, you can apply your campaign targeting directly on the supply-side and activate those impressions through a deal ID. Sell-side targeting works across various formats including web display, mobile, in-app, and connected TV (CTV) for a seamless advertising experience.
OpenX offers the unique capability to match users using their device graph within their SSP. This means you can target users from traditional data sources such as cookies or mobile ad IDs (MAIDs) and reach them in CTV or app environments. This gives you even more reach and precision in your advertising efforts.
The role of first- and third-party data on the sell-side
Buyers are showing a keen interest in bringing their own first-party data into the process of sell-side targeting. Meanwhile, certain agencies have been actively involved in working with identity and data. OpenX is currently collaborating with several agency ID solutions such as Choreograph, Merkel, and Horizon.
Buyers are also purchasing third-party data and data segments from various providers through OpenX’s platform for sell-side targeting purposes. By utilizing this data on the supply side, buyers are able to increase the match rate against their first- and third-party data segments in all environments. This ultimately maximizes scale against these audiences and drives a more efficient CPM due to eliminating waste.
Measurement and attribution on the sell-side
In the current state of SSP advertising, there is more of an emphasis on targeting capabilities than measurement and attribution. That said, SSPs can provide granular log level reports that can be utilized for multi-touch attribution (MTA) or mixed media models (MMM). These granular insights not only inform measurement and attribution models, but they also provide valuable optimization insights such as clearing price.
Additionally, advertisers have all of the same reporting options that they’re used to getting through their DSP because their buys are activated via deal ID in the DSP of their choice.
What to consider when transitioning to sell-side targeting
There are two primary items you should consider when transitioning to sell-side targeting:
- Supply
- Reach
Reach
Collaborating with partners who have the right capabilities can greatly improve reach and audience extension across different devices. For instance, if you bring your first-party audience or a third-party audience and are identifying that consumer via a cookie or MAID, being able to extend that targeting segment to other devices and platforms can be highly beneficial.
Supply
It’s crucial to collaborate with partners who have the right access to supply and direct connections with publishers. While targeting is essential, it’s equally important to have high-quality supply to drive performance.
Reaching consumers in a cookieless future
Whether you’re targeting on the demand or sell-side, it always starts with the consumer and who you’re trying to reach.
Significant changes in the consumer privacy landscape are impacting advertisers’ ability to access various signals emitted by consumers through their devices and browsers. Recent developments from Apple and Google have further amplified this situation.
Alternative IDs as a solution to signal loss
In response, we’re seeing the emergence of alternative IDs like UID2, Ramp ID, and ID5. OpenX supports these types of IDs and considers them crucial for audience buying in a privacy-centric cookie-less future.
We are still in the early stages of this evolution. While some of the IDs have good coverage, cookies will continue to be the primary targeting method as long as they remain available.
Nevertheless, we see alternative IDs as one of several solutions that will become increasingly important as third-party cookies disappear. Contextual buying will also emerge, and a set of solutions will come together to enable advertisers to keep finding their audience in a cookie-less world.
Overcoming signal loss with identity resolution
Looking ahead, as we continue to lose signals due to the evolving consumer privacy landscape, we will witness two things:
- Continued fragmentation
- A wide variety of identifiers
Content will continue to be available on various devices. We’re currently experiencing the emergence of connected TV, but who knows what other devices will surface over the next five to ten years. As cookies disappear, which have been the primary identifier, and alternative IDs are introduced, the wide variety of identifiers will create further fragmentation. This highlights the need for identity in the future.
Identity resolution at Experian matches fragmented identifiers to a single profile to create a unified, cross-channel view of your consumers. Our identity resolution solutions can help future-proof your marketing strategies.
How Experian and OpenX work together
Experian is a key player in OpenX’s OpenAudience solution and helps to power many of their data segments as well as their identity graph. While OpenX collaborates with a variety of providers and operates a fully interoperable platform, Experian remains valuable to the core technology within OpenX’s SSP.
“Experian powers a lot of the data segments and identity graph that OpenX has in our OpenAudience capabilities as part of our SSP.” – Mike Chowla, SVP, Product, OpenX
Watch the full Q&A
Visit our Ask the Expert content hub to watch Mike and Chris’s full conversation on sell-side targeting. In the Q&A, Mike and Chris also share their thoughts on the impact artificial intelligence (AI) will have on the AdTech industry and their go-to sources for staying up to date on all things AdTech.
About our experts
Mike Chowla, SVP, Product, OpenX
Mike Chowla is the SVP of Product at OpenX where he leads product development and innovation, from customer discovery and user research to the development, delivery, and support of a market-leading product suite. Chowla holds a BS in Engineering from the University of Southern California, and an MBA from The University of Pennsylvania.
Chris Feo, Chief Business Officer, 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 our upcoming 2011 Digital Marketer Report, we will cover what influences purchase decisions. While you'll have to wait to read the report to see the entire list, when ranking influencers to purchase decisions: 54% of U.S. adults identified old-fashioned Word of Mouth (WOM), while information from webpages (47%) ranked second and online consumer reviews (31%) ranked as the third most important. It's nearly impossible to measure old-fashioned WOM, and “Information from a website” is a very broad category. Gauging the uptake in online consumer reviews is another story, however. Visits to online review pure-play Yelp.com is a good proxy for the uptake in online reviews in the service sector (restaurants, dry cleaners and dentists to name a few). Over the past two years, visits to Yelp.com have increased over 136%. Given such impressive and steady growth since 2009, you might assume that Yelp and other sites like it have become ubiquitous. Your assumption, however, would be incorrect. While age demographics of visitors to the site show that use of the online consumer reviews has reached maturity (Internet users over the age of 55 make up the largest age bin at 25%), geo-demographics, or visits by DMA, tell a completely different story. The top five cities by representation; San Francisco, San Diego, Monterey, Los Angeles and Sacramento reveal the first skew, that Yelp.com visitors favor the West Coast, where the company was founded. So it seems that, by percentage, the largest U.S. cities also figure significant. When looking at visitors to the site by Mosaic™ segments, Americas Wealthiest, Young Cosmopolitans and other affluent types figure heavily in the site's traffic. Taken all together, the numbers reveal that while Yelp.com continues to grow, its participants continue to be a very distinct subset of U.S. Internet users. This niche set of users might explain why traditional WOM continues to show more significance in influencing purchase decisions. Want to learn more about other purchase decision influencers? Click here to request a copy of Experian Marketing Services highly-anticipated 2011 Digital Marketer Report, launching in late March. The report features an editorial by Bill Tancer as well as unreleased data spanning email, social, mobile, search and more.
College basketball mania is here. First round NCAA tournament action tips off this week leading up to the Final Four in Houston and Indianapolis for the men and women respectively. With March Madness just around the corner, Experian Marketing Services' data team started to wonder — how do TV viewers of the men's tournament differ from viewers of the women's tournament? The women's game has come a long way since the first women's collegiate basketball championship in 1972. This will be the ninth year that all 63 games of the tournament are televised nationally. Looking back to 1982 when the finals were contested in Norfolk, Virginia, only 37 media credentials were issued. This has increased 14 fold when compared to the 530 media credentials issued in San Antonio last year. The men's game is as popular as ever drawing impressive TV ratings, especially during tournament time. Remember Butler's drive to the Final Four last year and their near upset of Duke? CBS reported that 48 million viewers watched at least some of the championship game. According to viewership data from Experian Simmons, men's tournament viewers outnumbered women's tournament viewers by a ratio of 3.7 to 1. That's nearly four men's tournament viewers for every viewer of the women's tournament. So who might be watching this year? Using Experian's Mosaic consumer lifestyle segmentation system combined with last year's tournament viewership data from Experian Simmons, we took a closer look. Men's Tournament Viewers Rise Above The Rim On Affluence The men's tournament draws a significant share of viewers from affluent households. Nearly half of viewers have household income of $75,000 or over. The ten most affluent Mosaic segments have an over-representation of men's tournament viewers compared to their corresponding share of U.S. adults. This includes Dream Weavers (well-off families with school age children, living an affluent suburban version of the American Dream), Enterprising Couples (married couples with children and childless duos living in upper-middle-class commuter communities), and New Suburbia Families (young, affluent working couples with pre-school children concentrated in fast-growing, metro fringe communities). Nearly half of the men's tournament TV viewers have household income of $75,000 or over. True to its name, the Dream Weavers segment is a college basketball advertiser's dream for home electronics, home furnishings, home improvement and home office supplies. All of these home-centered categories are near and dear to Dream Weaver householders many of whom will be following the men's tournament very closely in a variety of media formats including online, in HDTV, and on their smart phones. Brands and retail stores that have particular appeal to Dream Weavers include Nordstrom, Ralph Lauren, Nike, Eddie Bauer, Sephora, Dick's Sporting Goods and Banana Republic. But that's not to say that only affluent consumers are watching the men's tournament. Other segments with an above average concentration of men's tournament viewers include African-American Neighborhoods, Minority Metro Communities, America's Farmlands, and Young Cosmopolitans. Men's tournament viewers participate in a wide range of leisure and sport's activities (most notably golfing, football, softball, racquet sports, and weight training), have a preference for driving Cadillac, Acura, and Lexus automobiles, and have a high concentration of readers of such magazine titles as Golf Digest, Sports Illustrated, ESPN The Magazine, Barron's, and Black Enterprise. Women's Tournament Delivers Younger, More Ethnically Diverse Audience The audience for the women's tournament is decidedly different from the men's. About six out of every ten viewers have household income below $75,000. Mosaic segments with the greatest over-representation of women's tournament viewers include Struggling City Centers (young, single and single-parent minority renters living in low-income city neighborhoods throughout the South) and Minority Metro Communities (married couples and single-parent minorities with above-average incomes working in a mix of service industry and white-collar jobs). These two segments alone account for nearly 20% of the women's tournament viewing audience and contain about 2.5 times the concentration of viewers relative to their corresponding share of U.S. adults. Women's college basketball advertisers should note that the tournament delivers a less affluent audience compared to the men. Using Minority Metro Communities as an example, brands and retail stores that have particular appeal to this group and to the broader women's tournament audience overall include 7-Eleven, Ace Hardware, Hallmark, Sam's Club, Kmart, Dollar General, Big Lots, and Marshall's. Women's college basketball advertisers should note that the tournament delivers a less affluent audience compared to the men. Only four of the ten most affluent Mosaic segments have an over-representation of women's tournament viewers. When comparing a segment's share of the overall women's tournament viewing audience to its corresponding share of the men's tournament viewing audience, three of these four segments account for a higher share of women's viewers. These are America's Wealthiest, White Collar Suburbia, and Affluent Urban Professionals. Advertisers will be pleased to know that interest in the tournament from these segments helps lift the viewing audience into a higher income demographic. Using White Collar Suburbia as an example, retail stores that have particular appeal to this segment of the population include Brooks Brothers, Costco, Gap, J. Crew, Kohl's, Lord & Taylor, and Victoria's Secret. Other segments that contain a significantly higher share of women's viewers compared to men include Small-city Endeavors (a mix of lower income singles, families, and single parents living in older homes and small apartments in working class towns) and Professional Urbanites (upper-middle-class empty nesting couples and older singles in metropolitan areas). Men’s Tournament Viewers Compared to Women’s Tournament Viewers Men’s Tournament Top Ten Most Affluent Mosaic Segments Women’s Tournament America’s Wealthiest Dream Weavers White Collar Suburbia Upscale Suburbanites Enterprising Couples Small-town Success New Suburbia Families Status-conscious Consumers Affluent Urban Professionals Urban Commuter Families = Index of 100 to 125 = Index of 126 to 150 = Index above 150 The index shows the concentration of viewers for the men's and women's tournament for a segment compared to the segment's share of U.S. adults. For example, an index above 150 means that adults from the segment are 50% more likely to watch the tournament compared to U.S. adults overall.
Along with death and taxes, the third certainty as an online marketer is change. When we combine the rapid rate of online innovation with consumers' relentless pursuit of finding the best possible price, a pursuit that kicks into overdrive with economic uncertainty, it's critical to anticipate changes in consumer behavior and the adoption of new buying modalities. Here are three things that you should know about the group coupon phenomenon. By now, most of us are aware of Groupon, the privately held Chicago group couponing-company that rejected Google's $6 billion dollar acquisition offer in late 2010. Since it's founding in 2009, Groupon has grown to over 5 million visits per week to take the #25 spot in the Experian Hitwise Shopping & Classifieds category1 for the week ending January 29, 2011. But is Groupon, or more generally the category of online group buying, a fad or a significant change in the way we buy online? Here are three things that you should know about the group coupon phenomenon. Group Buying Has Reached Mainstream Adoption If you think that this new social buying trend is fueled by early adopters of technology, the young and hip technocrats, you may have been correct in January 2010. Today, you would be completely off the mark. According to Experian Hitwise for the four weeks ending January 29, 2011, the largest age-bin for visitors to Groupon.com are those Internet users over the age of 55 (37.5%). There is Applicability to Local and National Retailers While group coupons were heralded as the perfect solution for local online commerce, successful deals with national retailers (both bricks-and-mortar such as GAP and online pure-plays like Amazon.com) indicate that this movement will take its place alongside email and search as a key channel for marketers to consider. On January 19, 2011, LivingSocial.com, a Groupon competitor, offered a $20 Amazon credit for $10 (it should be noted that Amazon invested $175 million in LivingSocial.com). According to PC Magazine, over 1.3 million certificates were sold at a rate of over 100,000 per hour. The Race to Dominate the Space is Heating Up LivingSocial's Amazon play did more than just put up impressive numbers; it was a clear sign that the site is a viable threat to category leader, Groupon. According to Groupon CEO Andrew Mason, Groupon has over 500 competitors in the marketplace and growing. Have you considered group buying for your business? Along with anticipating this trend, with the growing number of competitors and offers you should think one step ahead – will consumers succumb to daily deal fatigue? Want to learn more about digital marketing in 2011? Click here to request a copy of Experian Marketing Services highly-anticipated 2011 Digital Marketer Report, launching in late March. The report features an editorial by Bill Tancer as well as unreleased data spanning email, social, mobile, search and more. ——— 1 Shopping and Classifieds Category: 28,586 top sites that specialize in online shopping, auctions and classifieds