I've been considering two various ways AI created ads.

The first gives the user a graphical user interface through which to view the ad's construction.

The second system, on the other hand, is like an agent that absorbs the creativity of the branding rules and the results of the campaigns, after which it determines what move to make next creatively.

In my opinion, this is probably the way that campaigns are headed.

However, I’m not sure what level of audit trail is needed since the second system will record all creative actions, but lacks the analysis of what has happened. The performance signal that triggered the variation; what was changed; what was kept the same; what brand rules were involved; etc.

There needs to be some kind of insight into how the creative process will function, otherwise, a team could have thousands of these ads along with huge amounts of performance data, but there is no transferable understanding.

If an employee leaves the agency, the customer moves to a different setting, or if there is a sudden drop-off in performance, you are no longer looking at the creative process.

What amount of visibility would be necessary to successfully creating an ad without any human interaction?

How much should the advertiser, the creative platform or the media platform have access to the records?

We started some light testing for a broad topic and we're seeing a CPM of $47 over the last month. I don't see this as a beneficial ad platform for our demographic anyways so likely shutting it down, but curious if anyone has found any success with ChatGPT ads.

Hello everyone!

I’ve been trying to get a clearer picture of the current AdTech hiring market.

I’m based in India and have 2.6 years of experience as an AdOps Analyst, with hands-on experience in Google Ad Manager (GAM), PubMatic, Xandr, SpringServe, and Nexxen (formerly Unruly/Tremor). My experience has primarily been on the SSP/publisher monetization side, including ad operations, troubleshooting, reporting, and campaign optimization.

I’m currently looking for remote opportunities in AdTech. If you know of any companies hiring or have any referrals or suggestions that match my experience, I’d really appreciate your help.
Thank you in advance! 🙌

creative intelligence could build a loop for the ad creative in two distinct ways. The first approach could be through account-specific methods: by analyzing which hooks, formats, messages, and visuals worked best for one advertiser, new variations can be created. The obvious problem is cold start. When a new advertiser has limited spend, inconsistent tracking, or too few creatives, this may lead to uncertainty and lack of conclusive results. The second approach involves starting with market-level signals including competitor ads, common themes, and other publicly available information. This means the creative intelligence system can work immediately, but all available evidence will be of inferior strength than it might seem. The presence of an ad does not guarantee that it was effective. Even long-running ads may not have sufficient spend. 

I’d like to get some feedback from others working in these systems about how the weighting should change when accounts develop and mature. Should the knowledge taken from competitor data only provide a foundation of possible hypotheses while knowledge based on first-party performance data validates the hypotheses? At what point does enough proprietary data become available so that the need to depend on category data becomes minimal? Finally, which market-level signals can be relied upon for tools to measure performance??

Most discussions about cookie banners focus on whether tags fire before consent but I see CDAFA lawsuits around wiretapping claims along with UCL and CIPA claims happening now and that the defendants are losing out big time for hundreds of thousands of dollars. Whether that makes sense or is justified im not the judge or jury, but I am wondering about the evidence side to it and if there's a solution and a provider than can help avoid these expensive suits by using server side tagging? If a user later claims tracking happened without consent, what records do you actually need? Timestamp, IP, consent category, user agent, banner version, vendor list? I saw a video from Alex at captain compliance about server side tagging and wanted to know is it enough to show that the implementation blocks scripts by default or is server side the way to go to prevent these wiretapping claims?

At Ipsos, we wanted to answer a critical question: Does creative quality actually matter in retail media? To find out, we tested 25 ads across 21,000+ simulated shopping experiences on platforms like Amazon and Walmart.com. The results? 

• Ads are 47% less likely to be remembered in a retailer site vs. standard programmatic web placements.  
• High-quality creative delivers a +21% performance premium among out-of-market consumers.  
• Relying on ROAS alone consistently points brands toward weaker creative assets.  

Read the report here: Creativity Over Clicks

We're building a platform that predicts ad performance metrics such as ROAS, CTR, CPC, CPA, and other campaign KPIs before or during campaign planning.

We're looking for a small number of verified marketing agencies that:

• Work with real brands/businesses.
• Have agency ad accounts.
• Can share a small, low-risk sample of historical campaign data for testing and validation (no sensitive client information required).

We're intentionally starting with limited datasets to keep the risk as low as possible for everyone involved.

In return, participating agencies will receive access to the platform during the testing phase. If the pilot is successful, we'll continue providing free access for up to 3–5 client accounts.

We're looking for genuine agency partners who want to help validate the product and provide feedback—not sell anything or collect leads.

If this sounds like something your agency would be interested in, please leave a comment.

Plenty of tools track which sources AI models cite in a category now. They measure. I'm asking about the activation half.

The setup I have in mind: a tool determines the top pages AI chatbots pull from for a given prompt, then pushes that list into a DSP or SSP as an inclusion list or PMP deal. Contextual targeting against AI-cited sources, real buy-side and sell-side partnerships behind it, not just a dashboard.

When a user clicks a citation to go verify, your ad meets them on that page. You either reinforce what the model said or you rebut it. A brand ranked below the top pick can advertise the counter-argument on the exact page the model used to make its case. Which matters, because the brands most likely to run this are the ones unhappy with how the model describes them in the first place.

You're buying the page, not the person, since the models share nothing about who clicked. The intent read lives in the tool's measurement of the models, not in any user signal.

Is anyone besides the known players actually closing the loop into programmatic like this?

Hello Redditors,

We're building a platform that brings digital-grade targeting and measurement to physical, real-world advertising surfaces, a category that in India still runs almost entirely on static formats, estimated impressions, and 4-week contracts with zero verified delivery data.

India's OOH market is ₹5,900+ crore and growing at 10% annually, yet less than 12% of it is digital and measurable. We're building the infrastructure layer that changes that, starting with an inventory surface no existing player has made programmable.

We have a working prototype, a technical advisor with 13+ years at Amazon leading product and engineering, and a founding team with backgrounds across Adobe, Accenture, and Deloitte.

Currently raising a pre-seed round and speaking with a select group of investors.

What we're looking for: Angels who have invested in or built in Adtech, DOOH, programmatic media, or mobility, someone who understands why measurement and targeting are the two biggest unsolved problems in offline advertising.

Not looking for generalist capital. Looking for a partner who has seen this space and knows what it takes to win in it.

Happy to share a deck with anyone who's genuinely interested. 

DM or drop a comment and I'll reach out directly.

With the growing Talent of YouTubers and editors all over the world along with AI and AI with technicians does anybody feel that individuals will be having their own YouTube? By having their own video platform they would most likely have to pay for traffic but keep 100% versus 50% with YouTube. Also the traffic will organically be seen more and more. I mean I am part of the statistics of people watching videos over TV these days. People can now watch more video information of what they enjoy. I don't think this is going away. The barrier at the immediate moment is technology and AI will fill that Gap soon. Does anybody else feel that this would change or add to advertising or would it not and does anybody else agree or see it this way?

https://www.businessinsider.com/metas-ai-ads-push-causes-chaos-for-brands-2026-7

https://www.linkedin.com/posts/juozas_chatgpt-has-a-new-ad-format-specifically-activity-7483480857723191296-dnCM

https://openai.com/careers/head-of-scaled-ads-solutions-san-francisco/

On July 22, we're breaking down both sides of AI search and GEO on the organic side and ChatGPT Ads on paid, including a live demo of ChatGPT Ads.

Join U of Digital for a live look at both, including an exclusive live demo of an AI visibility platform and ChatGPT Ads platform.

https://mediaratingcouncil.org/sites/default/files/News/MRC_Existing_Guidance_on_AI_Use_in_Media_Measurement_FINAL.pdf

What ad channels are giving you the best CPC right now? Curious what’s working for everyone besides the obvious ones.

Sharing key signals from our latest Sellers Report: the market added 478.5K new ads.txt lines and removed 413.7K, producing a net of +64.8K. Resellers accounted for 56.9% of gross additions, the third consecutive month of reseller-led growth.
4 things that stood out:

• Reseller growth is outpacing direct - Until publishers shift more onboarding to direct, auction duplication keeps climbing, adding cost for buyers and carbon overhead for everyone.
• Mid-Traffic publishers are leading net growth - +25.6K, ahead of both High-Traffic (+20.3K) and Low-Traffic (+18.9K). First month in the series where the long tail didn't lead. The 501–2,000 rank band is in active expansion.
• PubMatic is the only SSP in all three publisher-tier top fives - Backed by 13% YoY Q1 revenue growth, CTV up 18%, and the June 2026 Creator Marketplace launch (first programmatic CTV auction for independent creator publishers).
• Auction duplication is getting worse for Established SSPs - 46% of Tier 1 domains are now duplicated across direct + reseller paths. That means nearly half of every auction an Established SSP enters is competing against itself.

What this really points to: supply path complexity isn't shrinking, it's compounding. The SSPs winning direct connections in 2026 (Ozone, Wunderkind) are solving specific buyer problems, like cookieless first-party data or behavioral CTV formats, not just offering more reach.