advertising effectiveness

Yes, Facebook optimizes based on trust, data, and history, not just technical setup. Nowadays, I tend to focus more on campaigns rather than setting up campaigns across multiple accounts.
 
Even with identical campaigns, ad performance can vary widely between Facebook accounts due to account-level factors:
  1. Account History & Trust – New or previously flagged accounts often get higher CPMs and lower reach.
  2. Spending & Learning Phase – Accounts with consistent ad spend have better algorithmic optimization.
  3. Audience Overlap & Saturation – If the same audience is used across multiple accounts, competition can drive up costs.
  4. Billing & Payment Methods – Declined or unstable payment methods can limit delivery.
  5. Ad Relevance & Frequency Scores – Slight differences in engagement from past campaigns affect delivery.
  6. Region & IP Reputation – Accounts linked to certain locations or IPs may see different delivery efficiency.
So even if everything else looks identical, Facebook’s algorithm treats accounts differently based on trust, history, and optimization data.
 
Because accounts can have both good and bad ones, and previous account owners may have run the same campaign you're running, so they already have memory of it.
 
Only kill products that fail in good accounts.
 
Even with the same setup, each ad account still has a different data profile and trustworthiness. Facebook optimizes based on history and signal quality, so I usually focus on consolidating campaigns rather than allocating the same structure to multiple accounts.
 
I only optimize and retain actual campaign results on accounts with a solid foundation, in my opinion performance differences largely depend on account quality.
 
That's right, because Facebook doesn't just look at campaigns, but also at history, pages, pixels, etc.
 
Your ads are yielding different results across accounts, based on an assessment of each account's transparency and trustworthiness. I'm currently testing on several accounts to compare the effectiveness of my campaign.
 
There are definitely differences, because there are old accounts, new accounts, strong accounts and weak accounts, and they will be distributed to different customer groups, they can't be 100% identical.
 
With the same campaign structure, ad content, and target audience, why can the results differ significantly between advertising accounts? Do you know what factors might be causing this difference?
Even with the same campaign setup, creatives, and targeting, results can still vary across ad accounts.This is often due to account trust, spending history, pixel data quality, BM/Page reputation, and payment stability.In short, an ad account’s history directly impacts ad performance.
 
With the same campaign structure, ad content, and target audience, why can the results differ significantly between advertising accounts? Do you know what factors might be causing this difference?
Campaign results aren’t always the same, they can change depending on traffic quality.
 
With the same campaign structure, ad content, and target audience, why can the results differ significantly between advertising accounts? Do you know what factors might be causing this difference?

Ad account “trust score” (huge factor)


Not visible, but very real.


Built from:


  • Account age
  • Spend history
  • Policy compliance
  • Payment behavior
  • User feedback (hides, reports)
  • Past bans / reviews
 
I think it's due to the quality of the account, because it's not by chance that account prices from different sources or Business Managers vary, sometimes even with huge differences.
 
With the same campaign structure, ad content, and target audience, why can the results differ significantly between advertising accounts? Do you know what factors might be causing this difference?

Ad account trust score (the #1 hidden factor)​


Meta doesn’t officially call it this, but in practice every ad account has a trust weight.


It’s influenced by:


  • Account age
  • Payment history (failed payments, chargebacks)
  • Policy rejections history
  • Past advertiser behavior (edits, pauses, spammy testing)
  • How often accounts linked to that BM get disabled

Two identical campaigns can perform wildly differently because one account is “trusted” and the other is “watched.”
 
The difference often stems from the reliability of each account; even with identical campaigns, they will be allocated to different customer groups, so the results will vary depending on the reliability of the account you use.
 
I completely agree with the points mentioned about the ad account "trust score" being a huge factor in the varying results. It's interesting to note that even with identical campaigns, the account history and trust score can significantly impact performance. I'd like to add that another factor to consider is the device and browser distribution of the target audience, as this can also influence ad delivery and conversion rates. Can anyone share their experiences with optimizing ad campaigns for specific device and browser segments, and how it affected their overall performance?
 
It's no coincidence that the price difference between Agency and Business Manager accounts is so huge; it all comes down to trust level and the quality of accumulated data. Instead of trying to copy the same structure to many weak accounts, you should focus your efforts on strong accounts. Facebook's algorithm prioritizes 'clean signals,' so a high-quality account will help you optimize even the most complex campaign structures better.
 
Even with the same setup, results can differ because each ad account has different history, trust signals, and learning data. Auction timing, competition, and early engagement signals also influence delivery, so performance isn’t identical across accounts.
 
With the same campaign structure, ad content, and target audience, why can the results differ significantly between advertising accounts? Do you know what factors might be causing this difference?
In my opinion performance differences largely depend on account quality.
 
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