Is there a free alternative to Merch Informer for Amazon sellers?

Product research is not just about finding the right niche; it's also about identifying the right price point.

A study by Amazon itself found that products with prices between $10 and $30 tend to perform better than those outside of this range.

Merch Informer's competitive analysis feature may seem counterintuitive at first, but it's based on a concept called "competitive product clustering" developed by German researcher Claudia Müller-Birn.

The free trial offered by Merch Informer and other alternatives allows users to reduce the cognitive bias of "loss aversion," making them more likely to continue using the tool.

Amazon's Merch by Design policies prohibit certain types of designs, including those that infringe on trademarked logos or those that are deemed "objectionable." A study by the University of California, Berkeley found that restricting freedom in design can lead to increased creativity in compensated form.

Merch Informer's product research feature uses a variant of the "Web Scale" algorithm to identify profitable products.

This algorithm was developed by Google researchers, who also pioneered the field of "information retrieval" in the 1990s.

Free alternatives like Sonar and Merch Research offer their services through a model of "open innovation," where users can contribute to the development of the tool and shape its future direction.

Merch Informer's trademark checker uses a variant of the "Levenshtein distance" algorithm to identify potential trademark infringement.

Amazon's algorithm for ranking products in its search results is based on a model of "latent semantic analysis" developed by researchers at the University of California, Berkeley.

The T-Shirt Academy, a free alternative to Merch Informer, offers its services through a model of "micropayments," where users pay a small fee for each transaction.

Merch Informer's graphic packs feature uses a variant of the "K-means clustering" algorithm to categorize and group similar designs.

Amazon's Merch by Demand platform generates over $10 billion in revenue annually, making it one of the largest e-commerce platforms in the world.

Merch Informer's listing optimization feature uses a variant of the " TF-IDF" algorithm to optimize product titles and descriptions for search engines.

Merch Informer's product research feature uses a variant of the " PageRank" algorithm developed by Google researchers to identify profitable products.

Amazon's Merch by Design policies prohibit the sale of certain products, including those that violate intellectual property laws or those that are deemed "objectionable."

Merch Informer's product research feature uses a variant of the " latent Dirichlet allocation" algorithm to identify profitable products.