While third-party targeting no longer has one foot in the grave, advertisers comfortable with using a 20-year-old technology available to everyone in the market as their primary method of accurately targeting potential customers should take a long, hard look in the mirror. In the age of AI, insights, ever-increasing addressability and attribution – those savouring the crumbs of cookies stand to miss out on the feast of alternative targeting and measurement available.
While the world of digital media and cookie alternatives is advancing faster than most can keep up, two of the foundations of advertising are still as relevant as ever. Campaigns that prioritise contextually relevant advertising to engaged audiences are proving their value and, with two in three people in the UK claiming they are sports fans, the opportunity to engage fans across the sporting landscape is huge.
As well as access to engaged fans in sporting environments, brands that can tap into these properties through sponsorship are uniquely positioned to take even better advantage of alternative targeting through contracted rights, IP-access and the global reach of rights holders.
IP-Inclusivity and Contextual Relevance
Most ads are remarkably forgettable. Exclusive access to the IP offered by premium rights holders to sponsors can change this.
System1 and Fuse’s The Sports Dividend research explains that among sports fans, brand ads that feature sports in the creative are more likely to contribute to long-term brand health, drive short-term sales performance and viewers are more likely to feel emotions like happiness more strongly.
With creative that achieves stronger results and makes consumers feel happier, contextual alignment is the next step. Research shows that ads get twice as much attention when placed in top rated / the most relevant contexts.
This means when compared to a standard ad in a standard context, IP-inclusive ads in relevant contextual environments can be twice as effective at long term brand building among relevant sport loving audiences. For example, an ad starring Tom Daley aligned with Olympics content or one with Virgil van Dijk aligned to football news will double its effectiveness compared to ads without IP in irrelevant contexts.
While leaning on contextual placements in an age of data and tracking might seem counterintuitive, for sponsors who have IP-access, content amplified with a media partner, or with AI-powered contextual targeting, produces results that are clear.
All of this is done without using any audience targeting at all. Imagine what could be achieved when privacy compliant first-party audiences are overlayed.
Privacy Compliant First-Party Data Sharing
Gone are the days when sponsors are content with simply placing a logo on a shirt or LED board and calling it a day. As well as the key role that sponsorship plays in shifting brand metrics, the ability to identify current or potential customers and serve them IP-inclusive, contextually relevant creative can improve performance further.
The most accurate way to do this is using a data clean room, a tool used to match datasets from different parties in a secure and privacy compliant way. Using a data clean room, first-party data from the rights holder can be overlayed with first or second-party data from the sponsor, meaning brands can securely identify current or potential customers who are already engaged with a rights holder and therefore are more likely to engage with branded sponsorship content.
While many rights holders are still in the early stages of developing a project that requires significant investment and a mature data strategy, Manchester City is showing it is not just ahead on the pitch, but also when it comes to driving value for its sponsors.
Following the launch of the Nissan Ariya, Nissan released its ‘Be More Pep’ campaign, encouraging people to follow in the steps of City’s iconic manager, from fashion to haircuts and ultimately, to the electric Nissan he’s seen driving around Manchester.
Using a data clean room, Manchester City’s first-party data segments were matched with second-party signals, creating an audience of “Man City fans who are environmentally conscious and interested in electric vehicles”. The segment was then tested against the “Ad Platform ‘EV Intender’ Audience” with the matched dataset resulting in significantly higher engagement for Nissan, recording 52% higher VCR and 43% longer average watch time.
While engagement metrics in a nondescript ad buying platform are not necessarily an indicator of bottom-line success, they do suggest that this relatively new strategy in the sponsorship industry has massive potential.
The next challenge for the world of sponsorship will be to reach data sharing standards expected by the rest of the industry. These are twofold – on the one hand, rights holders need to highlight the value their data can bring to sponsors, building clear audience segments and data sharing projects that sponsors can confidently buy into and activate. On the other, sponsors need to ensure their internal data-strategy includes an acknowledgement of the possibility of activating the sponsors’ data.
As these products evolve, there will be more pressure on rights holders to define and identify signals more accurately. This will help sponsors use their rights for more middle and lower-funnel tactics, highlighting sponsorship as a truly through-the-line channel able to drive more than just impressions and 30 second equivalents.
The Case for Better Metrics
Across digital media, the success of sponsorship properties has largely sat with vanity media metrics like impressions, engagement or clicks, often driving to irrelevant landing pages too focused on the sponsor and not linked to the sponsorship. But, with opportunities to analyse more signals than ever with AI, using legacy digital metrics like impressions or viewability cannot show the real value of sponsorship.
Playground xyz’s Attention Time is a human-led, AI scaled metric measuring the length of time that an ad is looked at – it is 7.5x more important in determining awareness, and 5.9x more important in determining recall than viewability. While clicks can be sparse and conversions even more so, Attention Time is proving to be one of the most reliable metrics that we have to measure the effectiveness of sponsorship ads.
While Playground xyz is only one example of an ever-growing list of companies measuring attention and similar metrics (all with varying methodologies), exploring and testing new metrics is going to be vital in accurately optimising properties over the course of a campaign, season or cycle.
While the sunset of the third-party cookie is further away than ever, privacy savvy consumers and increasingly unreliable targeting suggest that reliance on this outdated technology is leading to less efficient advertising and losses for brands.
However, brands that have invested in sponsorship are increasingly finding value goes beyond impressions and time on screen. Access to IP inclusive assets, when served in relevant contexts, can result in significant boosts to long- and short-term brand metrics, and access to first-party rights holder data can then further help to reach efficiencies in campaigns. When complemented by more advanced performance metrics, the strength of alternative targeting solutions speak for themselves.
All without the crumb of a cookie in sight.