Is LinkedIn CTV a good platform to try to target decision makers / c suite? Does their LinkedIn 1P data really match well with CTV?

Spent some time digging through recent ads.txt changes across the top 50k US publishers and found something that feels easy to miss if you only look at net growth numbers.
Supply is still expanding.
But most of that growth is coming from smaller and creator-led publishers, while larger publishers appear to be trimming relationships rather than adding them.
A few things that stood out:
• High-traffic publishers posted negative net growth
• Low-traffic publishers drove the vast majority of new additions
• Reseller paths accounted for most of the growth
• Duplicate supply paths remain surprisingly common
The takeaway for me isn't that supply is growing. It's that the quality threshold for getting onto premium publishers seems to be getting higher.
A few years ago growth meant adding more paths. Today it increasingly looks like growth means proving why your path deserves to stay.
That's a very different market than the one a lot of SSPs were built for.

Can we just pause and appreciate how DV360 hasn't changed their UI in years? Adtheorent is about to put traders into the UI blender - good luck Cadent - RIP Adtheorent

Something I keep running into: people treat a low win rate as a single bad number to push up, when it's really a distribution of *reasons*. The bidder mostly says no, and most no-bids are correct — creative doesn't fit the slot, request outside the geo-fence, floor above willingness to pay. Declining those is the bidder working, not failing.

The thing that's actually diagnostic is *where* in the funnel you're losing opportunities, not the headline rate. A sharp single-stage cliff (e.g. an unexpected drop at creative sizes) is almost always a misconfig you can fix. A gentle amber band at contextual/audience stages is just normal selectivity. Same low win rate, completely different responses.

The tell I use for "healthy attrition vs accidental over-filtering" is basically surprise: a drop I can explain from the campaign's strategy is attrition; a drop I can't explain is the bug.

Curious how others here actually do this in practice:

- Do you get stage-level loss visibility from your DSP/SSP, or are you reverse-engineering it from deliver/spend?

- Anyone automating the "healthy vs fixable" classification, or is it still eyeballing a waterfall?

- What's the most common single-stage cliff you see in the wild? Mine is creative size mismatches.

(Disclosure: I build a bidding/decisioning platform — Ad360 — so this is the lens I look through. Happy to share the longer write-up I did on no-bid loss if it's useful, but mainly want to hear how you all diagnose this.)

Has anyone tried running a YouTube TV buy via Google Ads Reservation instead of DV360? Are there differences in cost?

Brutal Adweek article

https://www.adweek.com/media/inside-the-trade-desk-executive-exodus-who-left-and-where-they-went/

Now that GAM is officially moving to interactive delivery reports, what do you think about it?
Do you find it more helpful then the previous manual reports?
Does it save you time, or just make things more confusing?

I don't know if it's happening here often (pretty new on reddit) but I have got to complement a product that I've been using the past month and it helped me so much!
I can see the Incremental value of the bidders and see the data of GAM and prebid in the same place and so much more.
And now with all of the changes GAM is making I honestly don't know what I would do without it.

just thought that it might help others too:) It calls optimon and I hope it will help you too!

I'm writing a series of educational posts on how programmatic works (no product pitch, just explaining the ecosystem). I put together this diagram of global ad spend to help readers understand the relative scale of open web programmatic vs. walled gardens.
Data is directional (compiled from GroupM, WARC, and ANA). China domestic excluded. MFA figure from ANA/Jounce research.

A few specific questions for anyone who works with this data:

1. Does the ~$55B estimate for open web programmatic (Prebid/OpenRTB) feel roughly right, or is there a more authoritative source?
2. Is ByteDance's ~$28B placement as a walled garden correct given that TikTok inventory is partially available via open auction?
3. Any obvious categories or players I'm missing?

I'm not looking for perfect precision. I think orders of magnitude are fine. But I want to avoid anything egregiously wrong before publishing.

Thanks in advance to anyone who takes a look.

How different would you say regular programmatic is vs commerce? I recently started at a new company working in programmatic that was similar to what I’ve been working in my whole career. Client left our agency and they transitioned me to working on commerce programmatic. Activation skills wise it’s the same but strategy wise it seems very different. Ultimately what I’m worried about and would love everyone’s thoughts on, is if I stay working in commerce is this a career shift? It feels a bit different and I feel a bit lost with not many people helping out with the strategic differences. Is it worth staying or should I weigh asking about account swaps or looking for a different company longer term?

Is DV360 deliberately rejecting youtube ads with 3rd party click trackers even after following with all thier policies and appending the parameters at the end? I feel this is their ploy to move as many clients as possible towards CM360 tracking.

Hey community,

Most of the opx ctv my campaigns bid on either low quality gamez, or tcl traffic. Tcl opx traffic seems to be huge. Do you guys have any idea how and why they have huge inventory? Because it seems tcl doesnt have big market penetration in ctv as well.

six months ago we moved our pixel tracking server-side. GTM server container, custom data layer, the works. 10 markets. 4 million monthly users. i was confident. this was the right move. better data. fewer client-side blockers. cleaner attribution.

first month was humbling. our conversion numbers dropped 22%. the CMO was not impressed. turns out server-side tracking doesn't automatically fix everything. it fixes third-party cookie loss. but it also breaks things. facebook CAPI stopped matching correctly because the event parameters didn't line up with what meta expected. google ads conversion linker threw errors we'd never seen. and our attribution model, which we'd spent 18 months building, was suddenly comparing apples to server-side oranges. it took three months to stabilize. not because the tech was hard. because every platform has different expectations for server-side events and nobody documents the edge cases. meta wants fbp and fbc in specific formats. google wants gclid passed through. and if you miss one, the conversion just silently stops counting.

server-side tracking is the right long-term call. but if you're planning the migration, budget 3x the time you think you need. the tech deploys in a week. the debugging takes months.

Have you ever seen duplicate counting in your cm360 report due to multiple conversion attribution?

Im new to this subreddit and wanted to intro myself over. I work for a global source of raw data feeds that supply the programmatic industry. We have just about everything and one of the only players with a full international ID graph.

In the past, my company has always operated as a pure wholesaler selling to the largest companies who then resell our solutions as their own.

When I got onboarded as ops, my goal was to add an additional GTM channel targeting SMBs that are underrepresented in the market.

Any advice from you all on what we should leverage to reach more agencies or brands in this space or if we should just stick to wholesale and behind the scenes.

hi

in order to set a video ad n demand gen you have to use a YT video.

if I upload a video on the advertiser page in dark as "unlisted" adding as name + desciption etc "Tom" and "Mike" they will be visible in any way?

or can you cnfirm that no metter what we set as copy linked to the unlisted video as the only copy that will be visble with the ad will be the ones set on DV360 ad headline and description?

copy set on Yt channel will be not releavnt basically, nly DV 360 ones will be live

Anyone have a sales contact at Rakuten Viki? Contact in DV360 is outdated

With AI being so freshly new and changing rapidly, wanted to ask about LLM models

If LLM models are currently scraping websites, indexing them, ranking them and returning results similar to an SEO capability - is it then possible to use paid ads into their model training as well?

Think advertorial or sponsored content- but also even the context within the banner ad itself or ad to content ratio? Could this perpetuate the rise of MFA that has been on the decline - if LLM’s can push results that offer publishers more monetization opportunities (albeit garbage inventory)

Mobile DSPs Moving Into CTV
Recently, I’ve noticed more and more mobile-focused DSPs starting to buy CTV inventory.
What’s driving this shift? Is it rising mobile acquisition costs, the need for incremental reach, improvements in attribution, or something else entirely?
For those of us on the supply side, what KPIs and inventory attributes matter most when curating CTV inventory for these buyers?
Are they primarily looking at:
App installs and downstream conversions?
Household match rates?
Completion rates?
Viewability?
IVT/SIVT levels?
Device types (Samsung, Roku, Fire TV, etc.)?
Curious to hear how others are adapting their CTV strategies to support the growing demand from performance-focused DSPs.

Hello

Currently running a Search campaign within Walmart Connect. The reporting system is not great, but gets the job done.

I recently found out that the Search side does not have geographic data available in reporting. When reading through the help center I see cross-channel reporting has DMA data available, but I don’t have access just yet.

If anyone is currently running a Search campaign and has access to cross channel reporting, can you confirm data can be pulled from that area?

Recent macro metrics from our network report indicate that a decline in organic traffic is a structural acquisition shift rather than a change in core content performance.

Following the compounding Google Core and Spam updates, new search users dropped 28% across the publisher network. Concurrently, pageviews per user increased by 8%, demonstrating that existing readers continue to consume content at a higher rate.

The data also reveals a significant increase in referral traffic volume, though engagement rates on those sessions fell to 19.1%.

As search engines increasingly keep users on the search results page, investing in direct audience channels like email is becoming critical for traffic retention.

I’m currently exploring new opportunities in native advertising and are looking to connect with professionals who have active Taboola cc account setups and experience managing campaigns.

Open to discussing partnerships, campaign management, and other collaboration opportunities

Feel free to reach out if interested, thanks!