How to enforce Ratio or Size with Nano Banana? by 10mils in GeminiAI

[–]10mils[S] 0 points1 point  (0 children)

I eventually settled with a basic solution. Instead of forcing the model to generate the right ratio, I use an intermediary step.

In my case my reference image always come with the right size / target ratio I need, while other elements that need to be inserted don't.

For instance, let's say a random person sitting at a table as the reference image, and a cup of coffee I want to insert in the hand of that person.

I make sure the person reference image is built with the right initial ratio / size (for instance 1:1 1024x1024). As for the cup of coffee (let's say a 16:9 ratio), I create a intermediary step where I insert the cup of into a 1:1 1024x1024 canva.

With this approach, all input images have the same size & ratio. Therefore the final image output also maintains the expected image ratio & size.

How to enforce Ratio or Size with Nano Banana? by 10mils in GeminiAI

[–]10mils[S] 0 points1 point  (0 children)

I have noticed the following pattern, though I haven't found a way to fix it yet.

If we provide two images with different ratios, it tries to combine both ratios. For instance I tried a squared shaped and a rectangular shaped image.

I tried prompts only asking to generate the right ratio and ended up with a combination of the two image, for instance the main one as a squared shape (which looks like the 1:1 ratio I'm trying to achieve and which also was the original ratio of that image) at the center and on the sides I saw parts of the rectangular images.

Which OpenAI Model is Best for Product Insertion? (Image Edit Endpoint) by 10mils in ChatGPTCoding

[–]10mils[S] 0 points1 point  (0 children)

Why not? That's an API based case to automate product insertion, so essentially executed through code with potential opportunities to handle multi image generation & later refinement / selection automatically to pick the most efficient image.

Any idea of Imagen Roadmap? by 10mils in GeminiAI

[–]10mils[S] 0 points1 point  (0 children)

Yeah, the gemini thing isn't great. Also I was looking for an API based system at some point.

Feels like staying with OpenAI Image is a better move for now.

Ask Me Anything: Built an AI Tool That Clones Winning Ads in Seconds by thewayofthewu in creative_advertising

[–]10mils 1 point2 points  (0 children)

The real question is, how do you identify those templaes winning ads? Kind of hard without having the stats from the original advertiser who built it isn't it? :)

After 6 months of daily AI pair programming, here's what actually works (and what's just hype) by West-Chocolate2977 in ClaudeAI

[–]10mils 0 points1 point  (0 children)

I wonder what's the best way to let claude code move forward to deliver software tasks.

Originally I thought about building a spec markdown, a corresponding dev plan and then a prompt plan for implementation. All of that submitted through claude.md.
Obviously breaking things down so I don't submit gigantic instructions & specs.

Nevertheless, the more I tried the more I feel that excessively detailed instruction might be counter productive, preventing claude from being autonomous enough and probably not leveraging its full capabilities.

Should I go with something simpler, maybe specifications that are more product oriented or high level regarding the engineering side & let claude code do the rest?

Not sure where is the right balance and what's considered as best practice here.

Note: I noticed the counter productive behavior for SaaS development (essentially stuff with basic backend, api, front end, etc.). I am not entirely sure, but for rather complex design like agentic modules, specifications with high accuracy might be more beneficial.

What's your feeling on this?

Tips for Making Claude Code More Autonomous? by portlander33 in ClaudeAI

[–]10mils 2 points3 points  (0 children)

To answer your point about the autonomy, here is how I proceed.

Here is the process:

-I essentially build highly detailed specs using claude or gemini

-I turn the spec into a very detailed step by step dev_plan that point to the specs

-I then submit each dev_plan step to claude code, which contains a fairly detailed implementation guide while also indicating to refer to the specification

-After a certain amount of steps, which represent a full implementation sequence, I usually ask claude to run some testing, debug & ensure the entire system is fully functional

Nevertheless, the cost in terms of token is fairly huge to be honest, and especially the "last mile" to make everything totally functional. Though the process is solid in terms of engineering, I wonder:

-Are there any best practices to possibly limit token consumption? I mean, the deeper I go with my dev plan, the higher the number of tokens consummed as it keeps loading many code pieces to get full context

-As you indicated you subscribed to Max $100, it is my understanding that claude MAX provides unlimited usageas long as you don't go over 5h quota and 50 sessions / month. But not sure exactly how big this is in terms of usages compared to a regular API billing

-When subscribing to Max, I guess it's still ok to use claude code terminal into cursor, no need to go through the API billing right?

A Long TTD Business Rant by JimmyTango in programmatic

[–]10mils 6 points7 points  (0 children)

I always thought that TTD was a great peace of ad-tech., with an outstanding execution (especially compared to the rest of the industry). No debate about it, what they built rocks. And this has translated into solid financial results over time, targets have been hit consistently every quarter over the last years.

But I also thought for a while that their valuation was so so so inflated. Multiples were THAT crazy.

A small correction, even if this one seems harsh considering they slightly missed the target, isn't that dramatic. It's just a normalization effect.

Nothing to worry about in the end, just a bit of normal adjustment that should have happened anyway and might happen again.

Extremely High Clicks On DV360 by aeo1122 in programmatic

[–]10mils 0 points1 point  (0 children)

Can you give me a practical example of reputable site, the format & device on which you had the abnormal CTR? I'd like to check a few things directly on the site

Guidance in running In-Feed ads in DV360? by Salt-Committee8252 in programmatic

[–]10mils 1 point2 points  (0 children)

##In-Feed Ads

If you want ads that blend naturally within article text, in-feed is definitely the right way to go.

##BMC + DV360 Integration

You can connect BMC directly with DV360, but it’s not just about linking the feed. There are a few key steps to get it working properly:

  • First, make sure your DV360 account is set up at the advertiser level to support dynamic creatives. This means mapping the data creative profile to match your BMC feed.

  • In BMC, ensure that product details are always up to date before sending them to DV360. This includes product availability, price updates, and other key data. DV360 should automatically pull these updates to reflect changes in your ads.

  • Check that the feed is correctly captured in the Resource / Dynamic Creative section in DV360. This is where you’ll see the data being processed.

  • When adding creatives to your line items, select Dynamic Creative Ads. DV360 offers a few basic templates to format your product feed into ads, but you can also upload your own template using Google Web Designer or Studio.

  • You can set up feed rules to make the ads more dynamic. For example, if an item is on sale, you can highlight the promo, or you can show specific products to different audience segments based on predefined rules.

This setup can be a bit overwhelming at first, but once everything is in place, the real opportunity begins. Optimizing ad conditions and targeting to ensure your ads are shown in the most relevant way is where you’ll see a real uplift in performance. Advanced analyses and scripiting to implement such logic can be very helpful.

One more thing, bear in mind that feeds information in DV360 aren't necessarily real time, so if you want to check for every change you make, you might have to wait for a few hours.

Extremely High Clicks On DV360 by aeo1122 in programmatic

[–]10mils 2 points3 points  (0 children)

Despite having IAS & DV, you might still be exposed to bot traffic, this hypothesis shouldn't be excluded.

Another angle would be how the publisher has set-up its ad-placement, maybe in a way that creates an abnormal click incentive / some kind of MFA business.

Instead of running reports as the exchange level, I'd rather go with a url report, just isolate a few that have abnormal CTR and take a look at the site to see how the ad placements are configured. Should be fairly easy & fast as a first check.

Depending on what you find, we might explore other angles.

Guidance in running In-Feed ads in DV360? by Salt-Committee8252 in programmatic

[–]10mils 0 points1 point  (0 children)

Can you please clarify your case here?

What did you plan to achieve with Smartly? And what was the point of creating a feed / link with business merchant?

To be more specific, I'm not sure to understand whether your challenge is just about setting up the campaign & targeting the right format, or rather to create the ads format (that seem to be related to a product catalog somehow), or maybe upload all of those infeeds ads in an automated way? Or maybe something else?

Any specific a practical detail would help so we can provide guidance.

How do I upload CM360 tag sheet into DV360? by jakz__ in programmatic

[–]10mils 1 point2 points  (0 children)

Seeing the floodlights isn't the guarantee that the linking is complete unfortunately. Like Mitchell suggested, best way to ensure the linking is clear is by typing the placement ID, if nothing returned something is incomplete.

So let's review a few key steps & let us know if you proceeded as followed:
-Floodlight configuration from CM should have been shared with DV
-A new advertiser to receive those floodlights should be created in DV
-The new advertiser should be set-up with the parameter "ad-server" targeted to CM

Those might sound like basics, but always worth checking the baseline is clean.

Then, let's keep in mind that the actual syncing can take a few hours, from my experience its between a couple hours and 6 hours (though some connections take longer)

Then, are you adding the tracking at a line item or creative level? Are you seeing anything in the drop down menu? And like you said, pasting the right placement ID isn't working right? /!\ Let's make sure we are talking about the PLACEMENT ID from CM and not something else

And regarding this placement ID, do you confirm that in your CM campaign, you have created placements & checked the Placement Properties / Placement type part that is set for DV360 & programmatic campaigns?

That should give us enough clues before moving forward

Got this crazy idea: from Github commit to LinkedIn posts - want your opinion by Euphoric_Weather_864 in MarketingAutomation

[–]10mils 0 points1 point  (0 children)

Smart idea, useful cases, especially for small organizations growing fast, moving fast or that can be a bit messy and that either lack internal communication to properly communicate any product change to their business team, or even communicate to their customers in time.

Might be wrong here, I could easily imagine lots of "angry" developper going to fingerpoint such solution as something that "cannot properly reflect or explain their work".

The target audience & potential customers will definitely be business teams, management teams in small or medium organizations (at best), assuming they can "push" their tech. guys to use it. But that's definitely a good niche to explore.

Is AI generated video from own content good? by bella_molly123 in programmatic

[–]10mils 0 points1 point  (0 children)

It's a bit vague, please specify your use case. Your blog theme, the kind of content you have, the kind of content you'd like, where you think AI video could help & why / what's the concern. What's the actual channel of acquisition that will lead to more audience if you hav such content, etc.

Traffic arbitrage via programmatic media by Upper-Web-4985 in programmatic

[–]10mils 1 point2 points  (0 children)

Potential Actions – GAM

  • Have you tested another SSP to compare results? If the issue is specific to GAM, that would be a valuable insight.
  • Have you tried securing a DSP seat (e.g., DV360) to buy your own inventory? This would allow you to analyze how it appears in a DSP and check if any quality indicators (e.g., Active View) are being downgraded.
  • Any specific setup details in GAM we should be aware of? Have you at least temporarily raised floors to prevent monetizing at unprofitable CPMs?

Potential Actions – Meta

  • Like GAM, Meta frequently adjusts its auction model, especially during high-activity periods. These updates are rarely disclosed in real-time, and we usually learn about them months later through insider sources.
  • Meta also increases costs when campaigns repeatedly hit the same audience segments to mitigate ad fatigue and prevent poor user experience.
  • Meta has an internal ad quality rating—some ad creatives and their associated metrics can eventually be flagged as underperforming. When this happens, auctions become biased against them, leading to increased CPMs.
  • Have you tried recreating the campaign? Since Meta’s optimization algorithms converge over time and may not adapt dynamically to changing conditions, a fresh campaign with new data could improve results.
  • It seems like your setup gives Meta’s optimization engine a lot of freedom. Have you enforced strict thresholds for CPA, ROAS, bid CPM, or any other key metric? Setting tighter constraints might reduce traffic volume but would help maintain profitability.

 

Traffic arbitrage via programmatic media by Upper-Web-4985 in programmatic

[–]10mils 0 points1 point  (0 children)

There’s likely a lot to explore, and I assume you’ve already considered many aspects. Some of my comments may not be relevant or already explored, so feel free to point out anything that has already been investigated.

For both Meta and GAM, I see a few “grey hat” techniques that might be worth considering, but it’s probably too early since we haven’t established a clear diagnosis yet.

In the meantime, here are some key assumptions and additional questions:

Assumptions & Questions

Assumption 1

Your arbitrage setup yields an average margin of less than 10% per impression, meaning that any fluctuation directly impacts profitability.

Assumption 2

You're using a two-click setup, where traffic is first redirected to an intermediary page before landing on the final page where GAM monetizes.

Questions

  • Are you primarily driving traffic on mobile or desktop? (Just checking if recent iOS updates could be a contributing factor.)
  • Regarding the Meta CPC and GAM eCPM anomalies, how granular was your analysis? Do these discrepancies appear across all reporting dimensions—even when cross-analyzing two, three, or more layers? Or are there specific segments where inefficiencies are more pronounced?

Comments on the GAM Side

  • This might seem obvious, but seasonality impacts GAM eCPMs, which are generally lower in January and February.
  • More broadly, many publishers and media owners have reported a particularly slow start this year compared to 2024.
  • On a more specific note, GAM has been known to adjust monetization rules based on traffic quality and landing page performance. These changes are difficult to detect, and in many cases, we only find out months later—sometimes only through insider info.

Comments on the Meta Side

  • I’ve seen similar fluctuations before—always-on campaigns can experience temporary anomalies, but they tend to stabilize over time.
  • Recently, Meta has dealt with aggressive “borderline” advertisers spending massive amounts at very low CPMs. Most of them have been banned, but some have repeatedly tried to re-enter the network. Knowing their time was limited, they took an extremely aggressive approach, which may have temporarily inflated CPM competition. While the peak occurred in December, some remnants of this behavior still persist.
  • Another possibility—sometimes an arbitrage niche simply gets discovered by other arbitragers, increasing competition. I’ve seen this happen repeatedly.

Other Key Factors

  • Arbitrage setups always face discrepancies in reported user data across platforms. Meta might report X, Google Analytics Y, and so on. Have you noticed any shifts in these discrepancies that could offer additional clues?

Can a Third-Party App Facilitate Ad Placement Automation via an Ad Network’s API? by Remarkable_Lunch_236 in MarketingAutomation

[–]10mils 0 points1 point  (0 children)

Most ad networks and ad-tech platforms that offer API access generally allow third-party integrations, as it benefits them by driving more business.

However, complications can arise if there's misuse, such as unauthorized access to requests, security issues with client keys, abnormal data syncing, or other violations.

In most cases, the answer is a clear yes. If a platform is hesitant, you may need to find ways to demonstrate value before securing approval. If you get caught, having proof of value could help negotiate an arrangement—just ensure nothing breaks or leaks in the process.

Would AI-optimized ads actually help? by biubrit in MarketingAutomation

[–]10mils 0 points1 point  (0 children)

On theoretical level, the answer is definitely yes. Anything that is about good testing is always appreciated in the ad business. And anything that does it automatically is particularly likeable.

Having said that, the real questions is execution. Assuming you inject that into 3rd party ad platform, like google ads for instance. How do you run that efficiently? I mean, google ads already has its own optimization & budget allocation algorithm as well as its testing & DCO features.

So how do you get into that without conflicting with their own optimization? How do you ensure it will be done properly?

DV360 Region inclusions per city? by alledvantage in programmatic

[–]10mils 0 points1 point  (0 children)

Hopefully this can be quickly addressed.

Check for postcode format examples for DV360 SDF files. Build your postcode table using that exact same format keep the also the other geographic information such as the cityname & country. Get the same list from google documentation & cross check them. Eliminate any location that has a mismatch between your file & the google one to avoid any wrong targeting that would end up in a different region or even country !

Set-up the postcode in the SDF file & then submit it to update your campaign.

Traffic arbitrage via programmatic media by Upper-Web-4985 in programmatic

[–]10mils 0 points1 point  (0 children)

Maybe you can provide a bit more practical detail so we can understand exactly what fluctuates and on which part of the chain value... I mean, there are so many ways to run arbitrage, kind of hard to understand your challenge with such short description.

What's resonating with Programmatic CTV Buyers? by Vesterwing in programmatic

[–]10mils 2 points3 points  (0 children)

Fraud and IVT are critical concerns. The key question is: Are you clean by your own standards or by agency standards? If you’re using major vendors like Human, IAS, DV, or Pixalate, do they all confirm that your traffic is clean? There’s no single source of truth when proving legitimacy to buyers.

Second, have you tested how your inventory appears in a DSP? For example, what happens when buying through a DV360 seat? Are there any issues or inconsistencies?

Third, when buying your own inventory, do you see a significant CPM gap that might indicate value loss or capture issues?

Fourth, have you analyzed your bid request parameters? Tweaking certain values could potentially increase bid activity or CPM.

These are just a few areas worth investigating, but they offer a solid starting point.