Product Database: Exploring Etsy Trending Searches

1. Overview of Product Database

The Product Research Database is a core feature of EHunt, designed to assist you in data-driven product research and uncover unique items with potential. In this chapter, we will delve into how to utilize the Product Research Database to find distinctive products and determine their demand and competition through keyword and shop analysis.

2. Accessing the Etsy Trending Searches

After logging into your EHunt account, click on "Products" -> "Product Research Database" in the navigation bar to access the database interface. Here, you'll find powerful search engines and filtering tools to quickly discover products that meet your requirements.

3. Searching for Unique Products

In the Product Research Database interface, enter your desired keywords or product types in the search bar, then click the search button. EHunt will filter out products from the extensive Etsy database that match your search criteria.

You can further narrow down your search by setting filtering options such as price range, product category, and sales range, helping you find specific products that align with your requirements.

We support the following filtering options:

  • Basic Filters: Narrow down results by subcategories, prices, and total sales within the last 7 days.
  • Advanced Filters: Refine results based on product shipping location, type, total favorites within the last 7 days, and review changes.
  • Labels: Easily find popular and highly-rated items using the following tags:
    • Etsy Pick: Officially selected by Etsy as featured products.
    • Best Seller: High-selling items within the past six months.
  • Release Time: Filter results using preset or custom time ranges for listing dates.

4. Product Details and Keyword Analysis

Within the Product Research Database, you can perform keyword analysis for specific products to optimize your product listings and increase visibility. Select a product of interest and navigate to its product detail page.

In addition, the product listing's display includes:

  • Additional badges: For instance, a truck badge indicates free shipping for the product.
  • Display of discount price, discount rate, and original price: Facilitating your analysis of competitor pricing strategies.
  • Display of product type: Helping you determine if the product is handmade, for example.
  • Display of basic shop information: Shop name, total sales, and total reviews, enabling quick assessment of the corresponding shop's performance, competition, and relevance for reference.
  • Display of product's basic information: Identical to the official page information, saving you time from visiting the official website.
  • Historical trend data of core metrics: Sales, favorites, and reviews, which allows you to assess the product's sales patterns, future trends, and profit estimation; price analysis to determine if price changes affect sales, aiding in identifying optimal pricing strategies for similar products.

On the product detail page, you will find a list of relevant keywords associated with the product. These keywords reflect the search volume and competition difficulty for the product on Etsy. By analyzing the search volume and competition of these keywords, you can decide whether they are suitable for your product listings and adjust your marketing strategy accordingly.

5. Data Trend Analysis with Etsy Trending Searches

Within the Product Research Database, you can also conduct data trend analysis to discover successful products and gain operational inspiration. Select a product of interest and navigate to its product detail page.

On the product detail page, you will find historical data, including sales, prices, favorites, and review counts for the product. By analyzing the operational strategies and product selection of successful products, you can gain insights and apply those experiences to your own products.

6. Determining Demand and Competition Difficulty

Through the Product Research Database's keyword and data trend analysis, you can better understand the demand and competition difficulty of products. By evaluating the search volume and competition level of keywords, you can gauge the market demand for similar products and decide whether to include them in your product listings.

Moreover, by analyzing the operational strategies of successful shops, you can gain insights into competitors' performance and strategies, enabling you to adjust your own operational approach to gain a competitive advantage on the Etsy platform.

Now that you've learned how to use EHunt's Product Research Database feature, let's continue exploring other functionalities to further enhance your performance as a seller on Etsy. Let's continue our EHunt journey!