Building a top brand among people is not a simple thing. Even if you have a quality product, you may be stuck because of marketing. You have products but no customers. Actually, they are not aware of it. You are running a campaign on Meta and have gotten a lot of customers. It is ok, but why can’t you be No. 1
There may be some reasons, but the main reason is that you just forgot to analyse your competitors, like who is first and second. If you analyse your competitors’ ad campaigns, it will give you some ideas to improve your ad creative types, themes, and quality of content delivery.
You can visit your competitors’ ad performance details, like how many ads they run on the website https://www.facebook.com/ads/library. You are responsible for analysing all brands’ ads in a day or two. But it’s too difficult to analyse all the data single-handedly. To solve this, the AI analytics agent for the skincare brand is live. For any brands, we can use this AI agent.
The manual meta ad library problem nobody talks about
Imagine you are running the Plum skincare brand in 2026, one of the well-known skincare brands in India. And you are already running campaigns in Meta Ads, so you may know about the Meta Ads library. It sounds very useful until you use it efficiently.
But here is the real problem that arises.
Manually, you search your competitors’ ads on that page. But you get a wall of ads sometimes, they are running 50 ads, or sometimes they are running 80 ads and more. So it will be a strong gate for your analysis. You just analysed 2 competitors’ ads, and your morning is gone.
You scroll through the pages and note some points from their ads’ creativity and quality. This needs more manpower and is time-consuming. Before that, low-level brands promote their products more than yours.
The truth is that the Meta Ads library is just designed for transparency and not for competitive intelligence. AI analytics agents make promises for your skincare products.
Analysing real competitors ads in the Meta Ads Library
In 2026, Maybelline New York, Colorbar, Lakme, and some other brands will be selling their beauty and skin care products. Let’s see how to manually compare your ads with other brands’ ads.
1. Plum vs Forest Essentials
Forest Essentials is the No. 1 skin care brand. You have to analyse their ads and how they cover customers in marketing. By manually analysing, it took a few hours.
2. Plum vs Kama Ayurveda
3. Plum Vs Minimalist
Minimalist focuses on dermatologist favourites for ingredient-focused serums and skincare products.
4. Plum vs Mamaearth
In this Meta ad library, you can search for competitors by their advertiser, keywords, or platform to find the specific ads and trends. It is manual work. You have to search Mamaearth’s ad performance manually. At the time of writing, they had around 580 active ads. To analyse these, you have to spend a day.
5. Plum Vs Wow Skin Science India
Some brands focus on audience needs. People expect to use organic and natural products. Some brands take it as a goal and market it widely to promote their brands as pure natural products.
These are some comparisons between Plum and some other top brands. Each skin care brand uses different marketing strategies. By analysing them, you can get some insights to cover the customer base with your ads. But manually analysing this is an imagination.
Yes, you can view the data and analyse it, but Mamaearth alone has around 580 ads. You can’t get a summarization insight from this in a day. Copying the same content really won’t work out. It should be unique and attractive. As a skin care brand, you should know the target audience and their needs.
You have a quality product, but fewer sales. It means you are reaching the right audience. Add more useful keywords. By analysing it you can get the info that your competitors use for their brand. This library gives insights into ad spending ranges, impressions, and targeting demographics which can inform your advertising strategy.
How the AI Analytics agent helps your skin care brand
This AI analytics agent helps your skincare brand to compare it with your competitors. And this doesn’t scrape data. Instead, it interprets it. Actually, it reduces your work time by some minutes.
Just imagine the Meta Ads library is a library with unlabeled books, and an AI analytics agent is the librarian who knows the book details and can tell you which chapters keep appearing in the bestsellers.
In your previous version, there is an analyst who takes care of every comparison and detailed analysis of competitors’ ad performances.
But when you deploy this AI analytics agent for your skincare brand, it will take all of your comparison work and will give you a detailed summary of it.
Let’s see how it worked
Step 1: Define your competitors’ list. Like their brand name. Later you have to pass this to an agent to get data. Pick 5 to 10 direct skin care brand competitors whose meta strategy actually affects your sales.
Step 2: Our product, Agentzee allows you to configure an AI agent that actually pulls data and delivers it in a structured format from the Meta Ads library. For your case, connect the library API to the agent.
Step 3: Set your parameters for monitoring. Just tell the agent what type of data you want to know. Creative types (video vs. static), ad copy tone, new ad launches vs. evergreen campaigns. The more specific your parameters, the sharper your weekly report output.
Step 4: Meta doesn’t show your competitors’ ROAS on their ads. But it does show you when their ads are running. If an ad is running for 45 days, then someone is spending money to keep it running because it’s working. By this, you can get some idea.
Step 5: Analyse the creative and ad copy data given by an AI agent. It will give some suggestions with the overall summary. Don’t let the output sit in a dashboard nobody checks. Perform optimisation on your next ad that the AI analytics agent suggests for your skin care brand.
This AI analytics agent makes your way simple to optimise your skincare brand’s marketing strategy. If you use it efficiently, you can be the top brand in the skin care industry. An AI agent is not to replace your analyst. It just gives suggestions and comparison data with your competitors.
The agent handles the volume of data you gave, and your team handles the judgment.
Conclusion
The Meta Ad Library is a free public tool for viewing any active Meta ad. Every skin care brand has access to the same data. The hard part is not access. The real problem arises when it takes more time, complexity in analysis, and more data on a single competitor.
To tackle this problem for your skin care brand marketing, an AI analytics agent can help you. It’s not giving you secret data. Instead, it reduces your time and gives you data within a few minutes and gives suggestions also.
This data will help you to optimise your ad creatives and other stuff to the current trend. And can learn how top brands promote their products and survive long in the market. Agentzee will help you to analyse your brand ads data for your improvement.
To generate a complete report analysis for your brand go through our analytics agent.