Trendyol Favorites & View Analysis Tool is an advanced reporting tool that analyzes the product performance of Trendyol sellers not just as numbers, but as actionable insights. By addressing view, favorite, add-to-cart, and sales data together, it clearly reveals why products sell or do not sell.

This tool interprets the raw data presented in the Trendyol seller panel; it generates sales-boosting tactics, strategic recommendations, and action plans.

Why are Trendyol Favorites and View Data Critical?

A large portion of products that do not sell on Trendyol are actually viewed and added to favorites, but do not convert to purchases. This situation usually arises from:

• Pricing error
• Incorrect image or title
• Perception difference with competitor products
• Lack of trust (reviews, ratings, description)
• Campaign and advertisement inconsistency

These are some of the reasons.

This tool analyzes the favorite and view rates not in isolation; it considers them as interrelated metrics.

What Does the Tool Do? (Clear and Concrete)

• Analyzes the view → favorite → sales conversion chain
• Identifies products with “interest but no sales”
• Reveals hidden potential products that have “low views but high sales”
• Conducts cause-and-effect analysis for products with a favorite increase that do not convert to sales
• Provides product-based sales increase recommendations

Thus, the seller sees not just “how many people viewed” but also why they did not purchase.

Types of Analysis and Reports Offered

1. Favorite / View Rate Analysis

The number of favorites received per view is calculated for products.

This rate measures the product’s initial impression success.

• Low rate → visual, title, or price issue
• High rate but no sales → trust or competition issue

2. Report of Favorites Not Converting to Sales

Products added to favorites but not converting to sales are specifically listed.

Separate improvement recommendations are provided for each product.

3. Hidden Potential Products

Products with high sales/favorite ratio despite low views are identified.

For these products:

• Advertising launch
• Inclusion in a campaign
• Stock increase

clear actions are recommended.

4. Time-Based Performance Comparison

On a weekly and monthly basis:

• Favorite increase
• View change
• Sales trends

are compared. It reads how the Trendyol algorithm reacted to the product.

Sales-Boosting Tactics and Recommendations

The tool does not just provide analysis; it clearly tells you what to do:

• Should you lower the price or correct the perception?
• Should you launch an ad or strengthen the description?
• Is a campaign needed or should you gather reviews?
• Which product should be scaled, and which one should be eliminated?

Each recommendation is based on the product’s real performance data.

Who is it Suitable For?

• Stores actively selling on Trendyol
• Sellers with many products but unsure which to focus on
• Those who do not want to waste their advertising budget blindly
• Those experiencing the “products are viewed but not selling” issue
• Professional sellers who want to grow based on data

Real Added Value for Trendyol Sellers

Thanks to this tool:

• Time-wasting products are noticed early
• Focus is placed on profitable products
• Advertising and campaign budget is spent in the right place
• Sales decisions are made based on data, not intuition

In short: You become a seller who reads the numbers, not just looks at them.