u/abdk1996

I’m running Meta ads for my brand and I noticed something really confusing.

My campaign includes:

1 static image ad (with captions/annotations designed into the creative)

2 video ads (UGC + unboxing style)

carousel placements enabled

Advantage+ features enabled

Inside Ads Manager → Ad Preview, everything looks correct.

I can clearly see:

my actual designed static creative,

story placement versions,

proper feed rendering,

correct videos.

However, when I search my brand in the Meta Ad Library, all the ads appear to show the SAME plain/default product image instead of the actual creatives I uploaded.

Even stranger:

when I get a notification saying someone liked the ad,

clicking the notification often opens that same plain/default image instead of the actual creative.

This made me worried that customers might only be seeing the default image instead of the real ads.

But:

Ads Manager previews look correct

campaign is spending normally

videos are active

placements render properly

So now I’m trying to understand what’s actually happening.

My suspicion is that this could be related to:

Advantage+ Creative

carousel optimization

catalog/product feed behavior

dynamic creative rendering

Maybe Meta is just using one fallback/default asset for:

Ad Library previews,

notification previews,

or “identity posts”

while still delivering the real creatives dynamically in-feed.

Has anyone else experienced this?

Main questions:

Is Meta Ad Library unreliable for dynamic/Advantage+ ads?

Can notification previews open a different/default asset than what users actually saw?

If Ads Manager previews show correctly, is that enough confirmation that users are seeing the intended creatives?

Could carousel/catalog integration be overriding the public-facing preview image?

Would really appreciate hearing from anyone experienced with Meta ads or Advantage+ campaigns.

I’m running Meta ads for my brand and I noticed something really confusing.

My campaign includes:

1 static image ad (with captions/annotations designed into the creative)

2 video ads (UGC + unboxing style)

carousel placements enabled

Advantage+ features enabled

Inside Ads Manager → Ad Preview, everything looks correct.

I can clearly see:

my actual designed static creative,

story placement versions,

proper feed rendering,

correct videos.

However, when I search my brand in the Meta Ad Library, all the ads appear to show the SAME plain/default product image instead of the actual creatives I uploaded.

Even stranger:

when I get a notification saying someone liked the ad,

clicking the notification often opens that same plain/default image instead of the actual creative.

This made me worried that customers might only be seeing the default image instead of the real ads.

But:

Ads Manager previews look correct

campaign is spending normally

videos are active

placements render properly

So now I’m trying to understand what’s actually happening.

My suspicion is that this could be related to:

Advantage+ Creative

carousel optimization

catalog/product feed behavior

dynamic creative rendering

Maybe Meta is just using one fallback/default asset for:

Ad Library previews,

notification previews,

or “identity posts”

while still delivering the real creatives dynamically in-feed.

Has anyone else experienced this?

Main questions:

Is Meta Ad Library unreliable for dynamic/Advantage+ ads?

Can notification previews open a different/default asset than what users actually saw?

If Ads Manager previews show correctly, is that enough confirmation that users are seeing the intended creatives?

Could carousel/catalog integration be overriding the public-facing preview image?

Would really appreciate hearing from anyone experienced with Meta ads or Advantage+ campaigns.

I’m running Meta ads for my brand and I noticed something really confusing.

My campaign includes:

1 static image ad (with captions/annotations designed into the creative)

2 video ads (UGC + unboxing style)

carousel placements enabled

Advantage+ features enabled

Inside Ads Manager → Ad Preview, everything looks correct.

I can clearly see:

my actual designed static creative,

story placement versions,

proper feed rendering,

correct videos.

However, when I search my brand in the Meta Ad Library, all the ads appear to show the SAME plain/default product image instead of the actual creatives I uploaded.

Even stranger:

when I get a notification saying someone liked the ad,

clicking the notification often opens that same plain/default image instead of the actual creative.

This made me worried that customers might only be seeing the default image instead of the real ads.

But:

Ads Manager previews look correct

campaign is spending normally

videos are active

placements render properly

So now I’m trying to understand what’s actually happening.

My suspicion is that this could be related to:

Advantage+ Creative

carousel optimization

catalog/product feed behavior

dynamic creative rendering

Maybe Meta is just using one fallback/default asset for:

Ad Library previews,

notification previews,

or “identity posts”

while still delivering the real creatives dynamically in-feed.

Has anyone else experienced this?

Main questions:

Is Meta Ad Library unreliable for dynamic/Advantage+ ads?

Can notification previews open a different/default asset than what users actually saw?

If Ads Manager previews show correctly, is that enough confirmation that users are seeing the intended creatives?

Could carousel/catalog integration be overriding the public-facing preview image?

Would really appreciate hearing from anyone experienced with Meta ads or Advantage+ campaigns.

Hi,

I need your honest suggestion on my Meta Ads setup for my leather belts D2C brand in India.

Current Situation:

• Selling price / AOV ≈ ₹2100 (~$19).
• Total daily budget: ₹1200.
• I have been running ads for about 15 days now.
• Getting only ~1 purchase per day on average (one day I got 2 purchases, which could be luck). The campaign is mostly stuck in Learning / Learning Limited phase.

My Setup:

• Using Campaign Budget Optimization (CBO).
• Advantage+ Catalog + Advantage+ Audience.
• Added 2 audience suggestions: Fashion Accessories and Engaged Shoppers/Buyers.
• Running on specific locations (major high-purchasing-power cities — Mumbai, Delhi, Hyderabad, Bangalore, etc.).

What I did yesterday:

• Duplicated the current Sales campaign.
• Original campaign → Still optimized for Purchase conversion, running at ₹800/day.
• Duplicate campaign → Changed optimization event to Initiate Checkout, running at ₹400/day.
• Both campaigns have the exact same 3 creatives: 1 UGC, 1 Unboxing video, and 1 Static image.

Why I did this:

• With only ~7 purchases per week, the algorithm doesn’t have enough data to exit learning. I’m trying the “ladder approach” — hoping the Initiate Checkout campaign (getting ~4–5 events/day) will learn faster and help the overall account, while keeping the Purchase campaign running for actual sales.

My questions:

1. Is this ladder approach (Purchase ₹800 + Initiate Checkout ₹400) good in my case?
2. Has anyone tried this strategy for Indian D2C fashion/accessories brands (especially leather belts at this price point)? Does it actually work here?
3. What would be the best approach right now to exit the learning phase faster?
4. Should I reduce the Purchase campaign to ₹500/day and drop to only 1–2 creatives to concentrate spend?

Would really appreciate your feedback and real experience on this.

Thanks a lot!

Hi,

I need your honest suggestion on my Meta Ads setup for my leather belts D2C brand in India.

Current Situation:

• Selling price / AOV ≈ ₹2100 (~$19).
• Total daily budget: ₹1200.
• I have been running ads for about 15 days now.
• Getting only ~1 purchase per day on average (one day I got 2 purchases, which could be luck). The campaign is mostly stuck in Learning / Learning Limited phase.

My Setup:

• Using Campaign Budget Optimization (CBO).
• Advantage+ Catalog + Advantage+ Audience.
• Added 2 audience suggestions: Fashion Accessories and Engaged Shoppers/Buyers.
• Running on specific locations (major high-purchasing-power cities — Mumbai, Delhi, Hyderabad, Bangalore, etc.).

What I did yesterday:

• Duplicated the current Sales campaign.
• Original campaign → Still optimized for Purchase conversion, running at ₹800/day.
• Duplicate campaign → Changed optimization event to Initiate Checkout, running at ₹400/day.
• Both campaigns have the exact same 3 creatives: 1 UGC, 1 Unboxing video, and 1 Static image.

Why I did this:

• With only ~7 purchases per week, the algorithm doesn’t have enough data to exit learning. I’m trying the “ladder approach” — hoping the Initiate Checkout campaign (getting ~4–5 events/day) will learn faster and help the overall account, while keeping the Purchase campaign running for actual sales.

My questions:

1. Is this ladder approach (Purchase ₹800 + Initiate Checkout ₹400) good in my case?
2. Has anyone tried this strategy for Indian D2C fashion/accessories brands (especially leather belts at this price point)? Does it actually work here?
3. What would be the best approach right now to exit the learning phase faster?
4. Should I reduce the Purchase campaign to ₹500/day and drop to only 1–2 creatives to concentrate spend?

Would really appreciate your feedback and real experience on this.

Thanks a lot!

Hi,

I need your honest suggestion on my Meta Ads setup for my leather belts D2C brand in India.

Current Situation:

• Selling price / AOV ≈ ₹2100 (~$19).
• Total daily budget: ₹1200.
• I have been running ads for about 15 days now.
• Getting only ~1 purchase per day on average (one day I got 2 purchases, which could be luck). The campaign is mostly stuck in Learning / Learning Limited phase.

My Setup:

• Using Campaign Budget Optimization (CBO).
• Advantage+ Catalog + Advantage+ Audience.
• Added 2 audience suggestions: Fashion Accessories and Engaged Shoppers/Buyers.
• Running on specific locations (major high-purchasing-power cities — Mumbai, Delhi, Hyderabad, Bangalore, etc.).

What I did yesterday:

• Duplicated the current Sales campaign.
• Original campaign → Still optimized for Purchase conversion, running at ₹800/day.
• Duplicate campaign → Changed optimization event to Initiate Checkout, running at ₹400/day.
• Both campaigns have the exact same 3 creatives: 1 UGC, 1 Unboxing video, and 1 Static image.

Why I did this:

• With only ~7 purchases per week, the algorithm doesn’t have enough data to exit learning. I’m trying the “ladder approach” — hoping the Initiate Checkout campaign (getting ~4–5 events/day) will learn faster and help the overall account, while keeping the Purchase campaign running for actual sales.

My questions:

1. Is this ladder approach (Purchase ₹800 + Initiate Checkout ₹400) good in my case?
2. Has anyone tried this strategy for Indian D2C fashion/accessories brands (especially leather belts at this price point)? Does it actually work here?
3. What would be the best approach right now to exit the learning phase faster?
4. Should I reduce the Purchase campaign to ₹500/day and drop to only 1–2 creatives to concentrate spend?

Would really appreciate your feedback and real experience on this.

Thanks a lot!

Hi,

I need your honest suggestion on my Meta Ads setup for my leather belts D2C brand in India.

Current Situation:

• Selling price / AOV ≈ ₹2100 (~$19).
• Total daily budget: ₹1200.
• I have been running ads for about 15 days now.
• Getting only ~1 purchase per day on average (one day I got 2 purchases, which could be luck). The campaign is mostly stuck in Learning / Learning Limited phase.

My Setup:

• Using Campaign Budget Optimization (CBO).
• Advantage+ Catalog + Advantage+ Audience.
• Added 2 audience suggestions: Fashion Accessories and Engaged Shoppers/Buyers.
• Running on specific locations (major high-purchasing-power cities — Mumbai, Delhi, Hyderabad, Bangalore, etc.).

What I did yesterday:

• Duplicated the current Sales campaign.
• Original campaign → Still optimized for Purchase conversion, running at ₹800/day.
• Duplicate campaign → Changed optimization event to Initiate Checkout, running at ₹400/day.
• Both campaigns have the exact same 3 creatives: 1 UGC, 1 Unboxing video, and 1 Static image.

Why I did this:

• With only ~7 purchases per week, the algorithm doesn’t have enough data to exit learning. I’m trying the “ladder approach” — hoping the Initiate Checkout campaign (getting ~4–5 events/day) will learn faster and help the overall account, while keeping the Purchase campaign running for actual sales.

My questions:

1. Is this ladder approach (Purchase ₹800 + Initiate Checkout ₹400) good in my case?
2. Has anyone tried this strategy for Indian D2C fashion/accessories brands (especially leather belts at this price point)? Does it actually work here?
3. What would be the best approach right now to exit the learning phase faster?
4. Should I reduce the Purchase campaign to ₹500/day and drop to only 1–2 creatives to concentrate spend?

Would really appreciate your feedback and real experience on this.

Thanks a lot!

Hi,

I need your honest suggestion on my Meta Ads setup for my leather belts D2C brand in India.

Current Situation:

• Selling price / AOV ≈ ₹2100 (~$19).
• Total daily budget: ₹1200.
• I have been running ads for about 15 days now.
• Getting only ~1 purchase per day on average (one day I got 2 purchases, which could be luck). The campaign is mostly stuck in Learning / Learning Limited phase.

My Setup:

• Using Campaign Budget Optimization (CBO).
• Advantage+ Catalog + Advantage+ Audience.
• Added 2 audience suggestions: Fashion Accessories and Engaged Shoppers/Buyers.
• Running on specific locations (major high-purchasing-power cities — Mumbai, Delhi, Hyderabad, Bangalore, etc.).

What I did yesterday:

• Duplicated the current Sales campaign.
• Original campaign → Still optimized for Purchase conversion, running at ₹800/day.
• Duplicate campaign → Changed optimization event to Initiate Checkout, running at ₹400/day.
• Both campaigns have the exact same 3 creatives: 1 UGC, 1 Unboxing video, and 1 Static image.

Why I did this:

• With only ~7 purchases per week, the algorithm doesn’t have enough data to exit learning. I’m trying the “ladder approach” — hoping the Initiate Checkout campaign (getting ~4–5 events/day) will learn faster and help the overall account, while keeping the Purchase campaign running for actual sales.

My questions:

1. Is this ladder approach (Purchase ₹800 + Initiate Checkout ₹400) good in my case?
2. Has anyone tried this strategy for Indian D2C fashion/accessories brands (especially leather belts at this price point)? Does it actually work here?
3. What would be the best approach right now to exit the learning phase faster?
4. Should I reduce the Purchase campaign to ₹500/day and drop to only 1–2 creatives to concentrate spend?

Would really appreciate your feedback and real experience on this.

Thanks a lot!

Hi,

I need your honest suggestion on my Meta Ads setup for my leather belts D2C brand in India.

Current Situation:

• Selling price / AOV ≈ ₹2100 (~$19).
• Total daily budget: ₹1200.
• I have been running ads for about 15 days now.
• Getting only ~1 purchase per day on average (one day I got 2 purchases, which could be luck). The campaign is mostly stuck in Learning / Learning Limited phase.

My Setup:

• Using Campaign Budget Optimization (CBO).
• Advantage+ Catalog + Advantage+ Audience.
• Added 2 audience suggestions: Fashion Accessories and Engaged Shoppers/Buyers.
• Running on specific locations (major high-purchasing-power cities — Mumbai, Delhi, Hyderabad, Bangalore, etc.).

What I did yesterday:

• Duplicated the current Sales campaign.
• Original campaign → Still optimized for Purchase conversion, running at ₹800/day.
• Duplicate campaign → Changed optimization event to Initiate Checkout, running at ₹400/day.
• Both campaigns have the exact same 3 creatives: 1 UGC, 1 Unboxing video, and 1 Static image.

Why I did this:

• With only ~7 purchases per week, the algorithm doesn’t have enough data to exit learning. I’m trying the “ladder approach” — hoping the Initiate Checkout campaign (getting ~4–5 events/day) will learn faster and help the overall account, while keeping the Purchase campaign running for actual sales.

My questions:

1. Is this ladder approach (Purchase ₹800 + Initiate Checkout ₹400) good in my case?
2. Has anyone tried this strategy for Indian D2C fashion/accessories brands (especially leather belts at this price point)? Does it actually work here?
3. What would be the best approach right now to exit the learning phase faster?
4. Should I reduce the Purchase campaign to ₹500/day and drop to only 1–2 creatives to concentrate spend?

Would really appreciate your feedback and real experience on this.

Thanks a lot!

Hi,

I need your honest suggestion on my Meta Ads setup for my leather belts D2C brand in India.

Current Situation:

• Selling price / AOV ≈ ₹2100 (~$19).
• Total daily budget: ₹1200.
• I have been running ads for about 15 days now.
• Getting only ~1 purchase per day on average (one day I got 2 purchases, which could be luck). The campaign is mostly stuck in Learning / Learning Limited phase.

My Setup:

• Using Campaign Budget Optimization (CBO).
• Advantage+ Catalog + Advantage+ Audience.
• Added 2 audience suggestions: Fashion Accessories and Engaged Shoppers/Buyers.
• Running on specific locations (major high-purchasing-power cities — Mumbai, Delhi, Hyderabad, Bangalore, etc.).

What I did yesterday:

• Duplicated the current Sales campaign.
• Original campaign → Still optimized for Purchase conversion, running at ₹800/day.
• Duplicate campaign → Changed optimization event to Initiate Checkout, running at ₹400/day.
• Both campaigns have the exact same 3 creatives: 1 UGC, 1 Unboxing video, and 1 Static image.

Why I did this:

• With only ~7 purchases per week, the algorithm doesn’t have enough data to exit learning. I’m trying the “ladder approach” — hoping the Initiate Checkout campaign (getting ~4–5 events/day) will learn faster and help the overall account, while keeping the Purchase campaign running for actual sales.

My questions:

1. Is this ladder approach (Purchase ₹800 + Initiate Checkout ₹400) good in my case?
2. Has anyone tried this strategy for Indian D2C fashion/accessories brands (especially leather belts at this price point)? Does it actually work here?
3. What would be the best approach right now to exit the learning phase faster?
4. Should I reduce the Purchase campaign to ₹500/day and drop to only 1–2 creatives to concentrate spend?

Would really appreciate your feedback and real experience on this.

Thanks a lot!

I'm running a campaign - highest volume - conversion as Purchase (broad targeting, advantage+audience with suggestive audience). I have a budget of Rs 1000 INR (9 USD) a day initially. I'm running 3 ads using one adset. Video type are unboxing, ugc, and one review static image. Still in learning phase, it has only been 8 days, the acquisition cost is coming 1000 a day for each order. Does leaving it longer would make the acquisition cost slowly drop down when meta has more data?

I'm running a campaign - highest volume - conversion as Purchase (broad targeting, advantage+audience with suggestive audience). I have a budget of Rs 1000 INR (9 USD) a day initially. I'm running 3 ads using one adset. Video type are unboxing, ugc, and one review static image. Still in learning phase, it has only been 8 days, the acquisition cost is coming 1000 a day for each order. Does leaving it longer would make the acquisition cost slowly drop down when meta has more data?

I'm running a campaign - highest volume - conversion as Purchase (broad targeting, advantage+audience with suggestive audience). I have a budget of Rs 1000 INR (9 USD) a day initially. I'm running 3 ads using one adset. Video type are unboxing, ugc, and one review static image. Still in learning phase, it has only been 8 days, the acquisition cost is coming 1000 a day for each order. Does leaving it longer would make the acquisition cost slowly drop down when meta has more data?

I'm running a campaign - highest volume - conversion as Purchase (broad targeting, advantage+audience with suggestive audience). I have a budget of Rs 1000 INR (9 USD) a day initially. I'm running 3 ads using one adset. Video type are unboxing, ugc, and one review static image. Still in learning phase, it has only been 8 days, the acquisition cost is coming 1000 a day for each order. Does leaving it longer would make the acquisition cost slowly drop down when meta has more data?