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Hey Dinos, what a masterpiece of a video-completely hooked from start to finish! I’ve officially earned my diploma from the Dinos Academy, having watched every podcast, every video, and analyzed every book of knowledge you’ve dropped. It’s been a rollercoaster of revelations, and I feel like I’ve leveled up my entire mindset. But, as any true student of the craft would, I’ve got a few burning questions left that only you can answer. Think of this as the final boss battle before I achieve enlightenment. Your wisdom will be the ultimate cherry on top of my Dinos education! 1. I understand you don't close campaigns you had for a very long time, and more aggressive to campaigns for not long but what general rules do you use to determine when to close a campaign or ad set, especially in the first month or two of its lifespan? based of what timeframe? 2. When comparing highest value bidding to highest volume, which do you find more effective for achieving sustainable scaling, and under what circumstances would you prioritize one over the other? 3. In your experience, does optimizing for 7-day click and 1-day view hinder long-term results compared to 7-day click maximize value of conversions, especially when targeting high AOV products? How do you assess which is better for profitability and scalability? 4. Regarding bid strategies, do you find greater consistency with cost cap, ROAS goal, or bid cap, particularly when scaling aggressively? How do you determine which strategy aligns best with the behavior of the account and campaign objectives? 5. If an ad account performs best with a single ad set and ad-running exclusively on ABO, do you think this reflects a "training" of the account's optimization model? Would you recommend maintaining this approach despite ABO's limitations? What’s your strategy for structuring ABO campaigns when constrained to this method? For example, would you use varied budgets across ad sets to mimic the benefits of CBO, or double down on the single-ad set strategy that’s proving effective? 6. What key questions do you ask clients during onboarding to understand their goals and ad history? What requirements do you set, like ad spend, creative assets, or account readiness, to ensure a successful collaboration? 7. When turning off an ad set or campaign, how do you believe Meta's algorithm interprets this action in terms of optimization and data retention? Specifically, does pausing disrupt the learning phase or the historical data modeling tied to that ad set or campaign? Additionally, how does leaving an underperforming campaign on for an extended period impact the overall account health-does it compromise Meta’s ability to efficiently allocate spend across active campaigns? How long can you leave it off? before its not okay? 8. What are your thoughts on leveraging agency ad accounts to achieve better scores and lower CPMs? Do you believe the improved performance is primarily due to the historical credibility of these accounts, such as longer time in use, consistent ad spend, and clean payment records, or is there a unique structural advantage tied to these accounts that independent advertisers can’t replicate? 9. For catalog campaigns, do you recommend using catalog enhancements for better performance, or sticking to standard catalog ads? Which approach delivers stronger results, and why? 10. When using interest stacking, how does ad spend distribute across the stacked interests? 11. Why do agencies often prefer ABO for testing and CBO for scaling? What are the strategic reasons behind this approach, and how does it align with Meta's framework? 12. Whats do you think about Nick’s use of the 20% rule daily, the 322 method with CBO campaigns featuring flexible targeting, and the gradual addition of 2-3 ad sets every 1-2 weeks (including 1-5 winners and 0-4 testing ad sets), what are your thoughts on this incremental scaling strategy? Specifically, how effective do you think it is to consolidate all winning creatives into one ad set? Does this approach risk resetting the campaign’s optimization due to continuous changes, or could it help Meta's algorithm refine its targeting by feeding it stronger signals over time? Would this strategy align with Meta’s mechanics, or could it inadvertently hinder long-term scalability? 13. If you’re planning to run a campaign for just one month, is it viable to scale using budget increases, such as the 20% rule, while sticking to ABO instead of transitioning to CBO because its fragile. 14. Is it more common for CBO campaigns to frequently shift the leading ad sets in terms of spend, compared to ABO campaigns, which often maintain 1-2 consistent top-performing ad sets? What factors influence these shifts in CBO, and how should they be managed to maintain consistent results? 15. How do frequent changes to campaign variables disrupt the optimization process, affecting the algorithm’s ability to effectively learn, minimize volatility, and scale performance for optimal return on ad spend (ROAS)? 16. What timeframe would you use to evaluate whether to close an ad set or campaign that has been running for a month versus one that has been running for six months? How does the longevity of the campaign impact your decision-making process, and what performance metrics would you prioritize in each case? 17. In one of your videos on ABO optimization, you mentioned: "Close the failing leading ad in your Advantage+ campaign," followed by "relaunch this campaign and optimize again, keeping the failing leading ad," and then "if this fails, relaunch again." Why do you recommend relaunching the campaign instead of simply turning off the failing leading ad and allowing the budget to redistribute? Additionally, what is the reasoning behind relaunching a second time if the initial relaunch didn’t perform well?
Hey Kon, quick question. I am currently testing with ABO new creatives and a budget $75 per day each ad set. So my average cost per result ( purchase ) is $9.1, should I kill a new test after 20-30$ if it doesn’t perform or due to bigger budget I should expect the first day to seem like “ not that good” as it spending the budget to try figure it out? I am kinda answering my self here but I don’t have the experience to tell if 30-40$ are enough even the first day if my average is $9.1
it is more than enough. First day of the ads should be the best day. Leave it for 28 hours though to get also the delayed reporting sales before any change.
Hi! Does fb algo sometimes choose/spends on the the wrong creative? If you have 2 video creatives and you see facebook spending on a creative that is getting lower roas. Should I turn it off to ‘help’ the adset? Or with time fb will figure it out? Thank u Kosta!
Thanks again! I currently have a profitable $600/day broad CBO promoting 3 of my best-selling items from my women’s clothing brand. I also have 3 new arrivals that I want to test. If I create a new $300/day broad CBO for these new arrivals, will it split the sales between the two campaigns? I watched your daily loop video and noticed lower performance when adding another campaign before, but I’m not sure if I was observing this correctly. Would love your advice-thanks!
So we cant know until you do it. The fact though that you will do a new campaign with different products from the 600/day campaign is good cause you have less chances of canibalizing the existing.
I just recently discovered your channel, and I must say-it’s amazing! The content you provide is super helpful, and I really appreciate all the value you share. I’m currently running a general store for dropshipping, but I’ve been wondering if general stores still perform well compared to niche stores these days. What’s your take on this? Would love to hear your insights! im not on a high budget. my scaling hasn't been going higher than 200 a day. Thanks so much for everything you do, and keep up the great work!
Reply to the first question. Thanks. Everything depends on the product offer site etc. If all these are good you will do well anyway. I have seen everything working. Focus on having a good offer and a good product and of course good creatives and site. Rest will come.
Hey everyone, I hope you enjoyed this video! I created a FREE Facebook ads course for you! Enroll right now using this link: www.facebookads-master.com/offers/rWxzLAcb/checkout
Hey Dinos, what a masterpiece of a video-completely hooked from start to finish! I’ve officially earned my diploma from the Dinos Academy, having watched every podcast, every video, and analyzed every book of knowledge you’ve dropped. It’s been a rollercoaster of revelations, and I feel like I’ve leveled up my entire mindset.
But, as any true student of the craft would, I’ve got a few burning questions left that only you can answer. Think of this as the final boss battle before I achieve enlightenment. Your wisdom will be the ultimate cherry on top of my Dinos education!
1. I understand you don't close campaigns you had for a very long time, and more aggressive to campaigns for not long but what general rules do you use to determine when to close a campaign or ad set, especially in the first month or two of its lifespan? based of what timeframe?
2. When comparing highest value bidding to highest volume, which do you find more effective for achieving sustainable scaling, and under what circumstances would you prioritize one over the other?
3. In your experience, does optimizing for 7-day click and 1-day view hinder long-term results compared to 7-day click maximize value of conversions, especially when targeting high AOV products? How do you assess which is better for profitability and scalability?
4. Regarding bid strategies, do you find greater consistency with cost cap, ROAS goal, or bid cap, particularly when scaling aggressively? How do you determine which strategy aligns best with the behavior of the account and campaign objectives?
5. If an ad account performs best with a single ad set and ad-running exclusively on ABO, do you think this reflects a "training" of the account's optimization model? Would you recommend maintaining this approach despite ABO's limitations? What’s your strategy for structuring ABO campaigns when constrained to this method? For example, would you use varied budgets across ad sets to mimic the benefits of CBO, or double down on the single-ad set strategy that’s proving effective?
6. What key questions do you ask clients during onboarding to understand their goals and ad history? What requirements do you set, like ad spend, creative assets, or account readiness, to ensure a successful collaboration?
7. When turning off an ad set or campaign, how do you believe Meta's algorithm interprets this action in terms of optimization and data retention? Specifically, does pausing disrupt the learning phase or the historical data modeling tied to that ad set or campaign? Additionally, how does leaving an underperforming campaign on for an extended period impact the overall account health-does it compromise Meta’s ability to efficiently allocate spend across active campaigns? How long can you leave it off? before its not okay?
8. What are your thoughts on leveraging agency ad accounts to achieve better scores and lower CPMs? Do you believe the improved performance is primarily due to the historical credibility of these accounts, such as longer time in use, consistent ad spend, and clean payment records, or is there a unique structural advantage tied to these accounts that independent advertisers can’t replicate?
9. For catalog campaigns, do you recommend using catalog enhancements for better performance, or sticking to standard catalog ads? Which approach delivers stronger results, and why?
10. When using interest stacking, how does ad spend distribute across the stacked interests?
11. Why do agencies often prefer ABO for testing and CBO for scaling? What are the strategic reasons behind this approach, and how does it align with Meta's framework?
12. Whats do you think about Nick’s use of the 20% rule daily, the 322 method with CBO campaigns featuring flexible targeting, and the gradual addition of 2-3 ad sets every 1-2 weeks (including 1-5 winners and 0-4 testing ad sets), what are your thoughts on this incremental scaling strategy? Specifically, how effective do you think it is to consolidate all winning creatives into one ad set? Does this approach risk resetting the campaign’s optimization due to continuous changes, or could it help Meta's algorithm refine its targeting by feeding it stronger signals over time? Would this strategy align with Meta’s mechanics, or could it inadvertently hinder long-term scalability?
13. If you’re planning to run a campaign for just one month, is it viable to scale using budget increases, such as the 20% rule, while sticking to ABO instead of transitioning to CBO because its fragile.
14. Is it more common for CBO campaigns to frequently shift the leading ad sets in terms of spend, compared to ABO campaigns, which often maintain 1-2 consistent top-performing ad sets? What factors influence these shifts in CBO, and how should they be managed to maintain consistent results?
15. How do frequent changes to campaign variables disrupt the optimization process, affecting the algorithm’s ability to effectively learn, minimize volatility, and scale performance for optimal return on ad spend (ROAS)?
16. What timeframe would you use to evaluate whether to close an ad set or campaign that has been running for a month versus one that has been running for six months? How does the longevity of the campaign impact your decision-making process, and what performance metrics would you prioritize in each case?
17. In one of your videos on ABO optimization, you mentioned: "Close the failing leading ad in your Advantage+ campaign," followed by "relaunch this campaign and optimize again, keeping the failing leading ad," and then "if this fails, relaunch again." Why do you recommend relaunching the campaign instead of simply turning off the failing leading ad and allowing the budget to redistribute? Additionally, what is the reasoning behind relaunching a second time if the initial relaunch didn’t perform well?
podcast 90 :)
Thanks! Another great one Konstantinos. Quick question... do you utilize this same strategy for software products during big holidays?
Love software products cause they can scale more :). Yes you can.
Hey Kon, quick question. I am currently testing with ABO new creatives and a budget $75 per day each ad set. So my average cost per result ( purchase ) is $9.1, should I kill a new test after 20-30$ if it doesn’t perform or due to bigger budget I should expect the first day to seem like “ not that good” as it spending the budget to try figure it out? I am kinda answering my self here but I don’t have the experience to tell if 30-40$ are enough even the first day if my average is $9.1
it is more than enough. First day of the ads should be the best day. Leave it for 28 hours though to get also the delayed reporting sales before any change.
Hi! Does fb algo sometimes choose/spends on the the wrong creative? If you have 2 video creatives and you see facebook spending on a creative that is getting lower roas. Should I turn it off to ‘help’ the adset? Or with time fb will figure it out?
Thank u Kosta!
Of course it can make a mistake. That's why we optimize if it is needed. Closing it or not depends on the case.
@ Great to hear this! Thanks!
Thanks again! I currently have a profitable $600/day broad CBO promoting 3 of my best-selling items from my women’s clothing brand. I also have 3 new arrivals that I want to test. If I create a new $300/day broad CBO for these new arrivals, will it split the sales between the two campaigns? I watched your daily loop video and noticed lower performance when adding another campaign before, but I’m not sure if I was observing this correctly. Would love your advice-thanks!
So we cant know until you do it. The fact though that you will do a new campaign with different products from the 600/day campaign is good cause you have less chances of canibalizing the existing.
Is it possible that your account may collapse during Black Friday scaling if the budget was lowered in October?
Never ever happened to me.
I just recently discovered your channel, and I must say-it’s amazing! The content you provide is super helpful, and I really appreciate all the value you share.
I’m currently running a general store for dropshipping, but I’ve been wondering if general stores still perform well compared to niche stores these days. What’s your take on this? Would love to hear your insights! im not on a high budget. my scaling hasn't been going higher than 200 a day.
Thanks so much for everything you do, and keep up the great work!
Also, is it best to spend as much as possible to make a good algorithm?
The algorithm is the same for everyone. If you mean to get out of learning phase dont care about that.
Reply to the first question. Thanks. Everything depends on the product offer site etc. If all these are good you will do well anyway. I have seen everything working. Focus on having a good offer and a good product and of course good creatives and site. Rest will come.
@@KonstantinosDoulgeridis thank you for the reply! Keep up the good work!
You check on the ad manager. Then you do ads and you talk with the owner also or you get access to shopify to see if it makes sense.