Media Monitor

Canada’s advertising market is outperforming the global average.
In this episode of Media Monitor, Kelly Sweeney and Sean Wright dig into Guideline’s first-half data for Canada and explain why ad spend grew 9% year over year, compared with roughly 6% globally.
Part of the story is a rebound from a weaker period. Sean notes that tariffs and pressure on the automotive sector weighed heavily on Canada’s economy and advertising market the year before. That creates an easier comparison, but the current recovery appears broader than a simple bounce.
Podcast advertising is one of the clearest bright spots.
While podcast spend is roughly flat globally in Guideline’s data, Canada is up 25%, extending an already strong prior year and reflecting continued investment in Canadian-specific shows and talent.
Social is also outperforming.
Canada’s social advertising grew 21%, compared with roughly 14% globally, with the automotive category responsible for much of the additional lift. Auto has not fully recovered overall, but social stands out as one area where the category is spending more aggressively.
Travel offers another interesting contrast.
While broader travel advertising remains under pressure in many markets, Canadian hotels and resorts are up roughly 32%, supported by more domestic travel and stronger interest in Canadian destinations.
Looking ahead, Sean expects growth to moderate but remain healthy.
Guideline’s outlook is for Canada to finish the year with growth in roughly the 7% to 8% range, as some first-half sports effects fade but the underlying mix of categories and media types remains relatively strong.
In this episode:
Why Canada’s H1 ad market grew faster than the global average
The impact of last year’s economic weakness on current comparisons
Why podcast advertising is up 25% in Canada
How Canadian social spend is outperforming global growth
The role of automotive advertising
Why hotels and resorts are up 32%
The “Buy Canada / Stay Canada” effect
Domestic travel and tourism demand
What social media restrictions could mean for ad spend
Why Australia’s under-16 social restrictions have not slowed social advertising
Guideline’s outlook for Canada in the second half
Why the fundamentals look healthier than a simple rebound
If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.
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WWE is attracting new sponsors. AI agents are becoming part of the shopping journey. Retail media forecasts are getting bigger. And brands are testing advertising in places consumers may not expect.
In this episode of Media Monitor, Kelly Sweeney and Sean Wright go straight into the headlines and break down what these shifts could mean for advertisers, agencies, publishers, and brand teams.
The conversation starts with WWE.
According to the coverage discussed in the episode, WWE generated roughly $160 million in brand sponsorships, with a large share coming from new brands. Kelly and Sean look at how the move of Raw to Netflix may be opening new sponsorship opportunities and changing where brands can show up inside sports and entertainment programming.
From there, Sean brings up BMW’s use of an in-car branded experience tied to Spider-Man. That leads to a broader question: just because a new surface can carry an ad, does that mean it should?
The episode then turns to what Kelly describes as the agentic shelf.
For decades, brands competed for physical shelf space. Then came the digital shelf through marketplaces such as Amazon and Walmart.
Now there is another layer.
As consumers increasingly rely on AI systems and agents to answer product questions or make recommendations, brands need to think about how they appear inside those responses.
Kelly discusses AEO—Answer Engine Optimization—and GEO—Generative Engine Optimization as new areas marketers may need to account for alongside physical retail and traditional digital commerce.
Sean raises a related concern: if AI discovery requires increasingly sophisticated optimization, could smaller brands have a harder time competing with companies that have larger teams and budgets?
The conversation continues into retail media, where Sean questions a forecast suggesting the global market could reach $200 billion.
His concern isn’t that retail media is small—it clearly matters. The issue is definition.
If dollars flowing through a company such as Amazon include DSP activity, Prime Video, commerce media, and other advertising products, grouping all of that under “retail media” can make it harder for marketers to understand what the market actually looks like.
Finally, Kelly and Sean discuss Omnicom’s reported move to transfer hundreds of employees who helped build its AI platform to an outside contractor.
That story brings the episode back to one of Media Monitor’s recurring AI themes: companies may be using AI to make people faster and more productive, but that does not necessarily mean the technology can replace the work those people do.
In this episode:
WWE’s sponsorship growth
How Raw’s move to Netflix may be changing sponsorship opportunities
New ways brands can appear inside sports and entertainment
BMW’s in-car advertising experiment
Why more ad inventory is not always better
What the “agentic shelf” means for brands
Physical shelf vs. digital shelf vs. agentic shelf
Answer Engine Optimization (AEO)
Generative Engine Optimization (GEO)
How AI agents may change product discovery
What smaller brands could face in an AI-driven commerce environment
Bot traffic and the changing internet
Why retail media forecasts require closer inspection
The difference between retail media, DSP spend, and streaming advertising
Omnicom’s AI staffing changes
Why AI may be a work partner rather than a replacement
Resources mentioned in the episode:

https://www.mmm-online.com/news/warc-report-predicts-retail-ad-market-to-hit-200bn-in-2026/
https://www.motor1.com/news/805679/bmw-owners-upset-over-surprise/
https://www.mediapost.com/publications/article/417367/well-fight-for-your-brand-wwe-records-160m-in-b.html
https://www.forbes.com/councils/forbesbusinesscouncil/2026/08/18/how-brands-can-optimize-for-the-agentic-shelf-and-why-it-matters/
https://www.adweek.com/agencies/exclusive-omnicom-offloads-hundreds-of-staffers-who-built-its-ai-platform-to-third-party-contractor/
If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.
If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.
And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.

The NBA had a very strong advertising year.
In this episode of Media Monitor, Kelly Sweeney and Sean Wright break down Guideline’s latest NBA advertising report and explain how the league grew ad revenue from roughly $1.5 billion to $2.1 billion in a single season.
A big part of the story starts with distribution.
After Warner Bros. stepped back from its previous role, the NBA expanded across NBC, Peacock, Amazon, ABC, ESPN, Hulu, and other platforms. That created more places for audiences to watch and more inventory for advertisers to buy.
The result was a major increase in streaming revenue.
Sean explains that streaming ad revenue climbed from roughly $10 million to $874 million, driven by a combination of simulcasts, exclusive games, and broader digital access.
Pricing also moved higher. Regular-season unit rates increased substantially, meaning the league would have generated more revenue even if the number of ads sold had stayed flat.
But more changed than pricing.
The NBA also reached an estimated 170 million people during the season, its highest reach in roughly 25 years. That broader audience helped create stronger demand across the regular season, playoffs, and Finals.
Kelly and Sean also unpack why Finals comparisons require care.
A seven-game series naturally creates more advertising inventory than a five-game series. Looking only at total Finals revenue can make performance appear flat. Comparing the first five games of each series tells a very different story and shows much stronger year-over-year growth.
The episode closes with another encouraging signal: advertiser participation was more diversified across product categories, meaning the NBA’s growth was not dependent on just one or two areas of the market.
In this episode:
Why NBA ad revenue rose from roughly $1.5B to $2.1B
How streaming changed the league’s advertising economics
The effect of NBC, Peacock, Amazon, ABC, ESPN, and Hulu distribution
Why regular-season unit rates increased
How the NBA reached roughly 170 million people
Why streaming revenue jumped so sharply
How exclusive streaming games contributed to growth
Why the NBA now compares differently with the NFL on streaming revenue
How playoff demand performed
Why Finals revenue needs to be adjusted for series length
The difference between total Finals revenue and game-for-game comparisons
Why broader advertiser participation matters
What the next NBA season will have to do to match this year’s performance
Media Monitor breaks down what’s happening across media and advertising and explains what the data actually means.
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If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.
If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.
And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.

Advertising spend can be growing while the market underneath it is becoming more fragile.
In this episode of Media Monitor, Kelly Sweeney gives Sean Wright a new goal: create an index important enough to have his name attached to it.
Sean may already have a starting point.
Inspired by a discussion of market concentration and monopoly measurement, Sean applies similar mathematical thinking to Guideline’s advertising data to ask a different question:
How much of advertising growth is being driven by only a small number of categories?
Guideline tracks 89 advertising subcategories. Rather than looking only at the headline growth rate for the market, Sean examines how widely that growth is distributed.
If many categories are contributing, the market appears more balanced.
If one or two categories account for a disproportionate share of incremental spending, the headline number may hide more risk than it reveals.
Sean explains that early analysis suggests the concentration of advertising growth may be strongly associated with what happens in the market roughly 11 to 12 months later.
That creates potential applications for agencies, publishers, advertisers, and anyone trying to assess the health of advertising demand.
The current picture provides an interesting example: advertising growth is concentrated among relatively few categories, while spending declines are spread across a broader group.
For Sean, that combination suggests more risk beneath the headline growth number than the topline figure alone would indicate.
Kelly and Sean discuss how a concentration index could help agencies think about negotiations, publishers assess revenue exposure, and industry leaders get a faster read on market conditions without having to interpret dozens of category trends individually.
The conversation also introduces the idea of publishing the new indicator as a recurring Guideline market measure—with the final name still very much up for debate.
And, naturally, Jimothy the raccoon makes another appearance.
In this episode:
• How market concentration can reveal risk that topline ad growth misses
• The economic index that inspired Sean’s advertising analysis
• Why growth concentrated in a few categories can make the market less stable
• Why diversified advertising growth can indicate healthier conditions
• What concentrated gains and broad-based declines may signal today
• How the model could help agencies, publishers, and advertisers
• Using advertising category data for strategic decision-making
• Why a single index could simplify dozens of category trends
• The potential predictive relationship between concentration and future ad spend
• How publishers can assess dependence on a limited set of advertisers
• Why diversification matters for advertising revenue
• The early plans for a recurring Guideline advertising concentration index
• The debate over what the index should actually be called
Media Monitor breaks down what’s happening across media and advertising and explains what the data actually means.
If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.
If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.
And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.

AI agents may automate more of media buying, but WPP’s Devon DeBlasio believes people still need to remain at the helm.

In this installment of Media Monitor: Conversations at Cannes, Guideline Chief Product Officer Steve Silvers sits down with Devon DeBlasio of WPP to discuss how agentic systems could change advertising—from buying media and building audiences to influencing how brands appear inside AI-generated recommendations.

WPP has committed to helping develop standards for agentic buying, working with organizations including IAB Tech Lab and Prebid. Devon explains why common protocols and guardrails matter as buyer agents, seller agents, and MCP-enabled systems begin interacting across the advertising ecosystem.
A central question runs through the discussion:
Which decisions should an AI agent be allowed to make, and which should still require human approval?
Devon describes WPP’s “human at the helm” approach, particularly when actual media dollars are being committed. AI can identify signals, generate potential audiences, surface insights, and automate parts of a workflow, while experienced people remain responsible for decisions with financial consequences.
The conversation then turns to audience strategy. With large pools of historical performance data and increasingly capable models, agencies may be able to create more tailored growth audiences instead of relying as heavily on standardized audience segments.
Steve and Devon also look at a newer question for marketers: What happens when the entity you need to influence is an AI agent?
Consumers are increasingly asking systems such as ChatGPT, Gemini, and Claude for product recommendations. That creates a new brand challenge around how a company appears inside AI-generated responses, which signals shape those recommendations, and how marketers might influence brand perception in an agentic environment.
The discussion closes with data literacy. Natural-language interfaces may make sophisticated analytics accessible to more marketers, but easier access to data does not remove the need for consistent measurement, shared definitions, sound governance, and human judgment.
In this episode:
What agentic media buying means for advertisers
Why WPP is helping develop standards for agentic buying
WPP’s “human at the helm” philosophy
Where AI automation ends and human approval begins
Why WPP is beginning its agentic buying work with CTV
How buyer and seller agents could interact
How AI could create more tailored growth audiences
The role of historical performance data
Moving beyond standardized audience segments
What “influencing algorithms” could mean for marketers
How brands appear inside ChatGPT, Gemini, Claude, and other LLMs
The emerging relationship between AI discovery and brand perception
AI agents as a new layer between brands and consumers
How natural-language interfaces change data analysis
Why common definitions and standards still matter
Why human judgment remains part of automated media buying
Media Monitor: Conversations at Cannes is a special summer series featuring conversations with leaders across media, advertising, data, and technology.

Also subscribe to the regular Media Monitor podcast, released Wednesdays, for analysis of the data and trends shaping the media market.

If you’d like access to the benchmark report or want to suggest a topic for the next part of the programmatic series, reach out to press@guideline.ai.
If you enjoyed this episode, be sure to follow or subscribe so you don’t miss future conversations on advertising, media strategy, and cultural marketing moments.
And if you’re listening on Apple Podcasts or Spotify, a quick rating or review helps more people discover the show.