Complete Guide to Pinterest Ads Formats
Pinterest is unique among other social platforms because of the objective of the users on it - inspiration, and new product discovery. An ideal...
For years, product catalogs have been the silent heart of digital advertising. Thousands of SKUs connected to automated campaigns, dynamic audiences, and creatives that update constantly. But amid all that automation, one challenge remains unresolved: understanding which products truly drive performance and which ones are draining the budget.
The answer lies in artificial intelligence. And more specifically, in how Adsmurai Marketing Platform (AMP) combines analytical and generative AI to turn a catalog into a continuous source of insights, performance, and operational efficiency.
TABLE OF CONTENTS
From inventory to intelligence
The catalog is no longer just a data file: it is a strategic performance asset. AI applied to catalog analysis makes it possible to study thousands of data combinations — price, category, CTR, ROAS, availability, image type, or product placement — in seconds, detecting patterns invisible to the human eye.
A fashion brand, for example, discovered that products with “model photos” generated higher CTR and more conversions than plain background images. After automatically adjusting its dynamic templates with Creativ_, the brand achieved a significant ROAS uplift in just one month.
The difference lies not only in the insight, but in the speed: what once took weeks of manual analysis now happens in minutes thanks to AI.
How AI-powered catalog analysis works within AMP
With the new functionality introduced in Adsmurai Marketing Platform, catalog analysis becomes conversational and immediate. The generative AI-powered chatbot understands natural language questions and delivers actionable answers about your products’ performance.
Imagine asking:
“Which category has the best ROAS this month?”
“Which products have dropped in CTR compared to last quarter?”
“Which price and image combination works best for remarketing campaigns?”
The tool doesn’t just deliver numbers — it generates insights, recommendations, and customized visualizations directly inside the platform.
Main advantages include:
- Identification of top-performing products and categories, based on sales and ad performance insights.
- Detection of improvement opportunities, highlighting underperforming products and optimization suggestions.
- Trend and consumer behavior analysis, thanks to integration across feed, campaign, and creative data.
- Actionable recommendations, from naming or pricing adjustments to visual ideas for Creativ_.
- Intelligent automation, generating reports or actions automatically based on detected patterns.
Learn more in the AMP Product Update, where we explain how catalog analysis powered by GenAI takes advertising efficiency to the next level.
🧩 Smart Feeds: the foundation of everything
Catalog analysis with AI wouldn’t make sense without a clean, structured, and optimized feed. That’s why within AMP, the Optimized Feeds module plays a key role.
This system automates catalog management: it fixes errors, improves data quality, and enriches product attributes. This gives AI a solid foundation to identify real patterns rather than noise from poorly structured data.
For example, if the feed doesn’t distinguish between “sneakers” and “trainers”, performance analysis can become confusing. With Feeds, AI can categorize correctly, create derived attributes (such as style, season, or dominant color), and analyze performance more accurately.
Additionally, enriched data syncs in real time with active campaigns on Meta, Google, or TikTok, ensuring that catalog and creative information stay perfectly aligned.
From observation to action
The real value of AI-powered catalog analysis lies in its connection with other AMP solutions. When the insights generated by the chatbot are combined with modules like Creativ_ or Campaign Insights AI, intelligence turns into action.
Example: A home decor brand found that products with warm tones performed better during winter campaigns. Using that insight, AMP automatically updated over 3,000 dynamic ads, adjusting colors and formats at scale. The result: improved ROAS and reduced CPA, with zero manual effort and consistent brand visuals.
This is the essence of Adsmurai’s ecosystem: every product, every data point, and every campaign connected to generate real efficiency.
What changes for brands
AI-driven catalog analysis redefines how brands manage their media investment and product strategy. They can now:
- Optimize budgets in real time, prioritizing the most profitable products.
- Reduce operational effort thanks to automation and instant insight generation.
- Improve dynamic creative quality, based on real performance data.
- Scale strategy without losing control, supported by multi-channel analytics and native integrations.
In short: more performance with the same budget, less time analyzing, more time acting. With Adsmurai Marketing Platform, catalogs stop being static inventories and become engines of advertising efficiency, where every product tells a story and every insight drives growth.
Leave a comment!
Product Feed Optimization: A Key Strategy for E-Commerce Growth
Product feed optimization is a key aspect for e-commerce today, as it can have a significant impact on the visibility, performance and success of...
How dynamic product ads can boost your marketing strategy
If you've ever felt bombarded by ads for products you don't even remember looking at, welcome to the club! But instead of blaming technology, why not...