A lot of buyers use Amazon to compare prices and look for search suggestion. Sellers need to understand the prices they are up against and how to market their goods at a competitive price. Be prepared to do some research on what products similar to yours are selling for if you’re not offering unique stuff. A cheaper price may enable your products to appear first in search results. To consistently match the lowest prices on Amazon for your purchases, you can use Amazon’s Match Low Price tool. You can customize the tool so that you always compete on pricing by setting your own settings.
It’s critical for buyers to physically see the items they plan to purchase when shopping online. Sellers should showcase the products they are offering using a variety of recent images. Old cell phone pictures that are pixilated won’t make it anymore. Using professional pictures can increase consumer trust. They’ll be aware that you are a seasoned businessperson that they can trust to provide them with the goods they need.
Using Amazon CloudSearch’s Autocomplete Suggestions
Suggestions allow you to show likely matches before users finish completing their search queries. Suggestions are potential matches for an incomplete search query. Suggestions in Amazon CloudSearch are based on what is written in a specific text field. When you ask for suggestions, Amazon CloudSearch locates all of the documents whose values in the suggested field begin with the given query string. A match is only regarded to exist if the field’s starting matches the query string.
The field value and document ID for each match are included in the return data. To adjust for typos and misspellings, suggested can be set up to either locate matches for the precise query string or to conduct approximate string matching (fuzzy matching).
Suggesters for Amazon CloudSearch Configuration
When configuring a suggester, you must provide a distinct name for the suggester as well as the name of the text field you wish to search for potential matches in. Suggestion fields must have return enabled. The field’s first 512 bytes are only used to produce suggestions.
Suggestion names must contain a letter, have a minimum of three characters, and not exceed 64 characters. A-Z (lower case letters), 0–9, and are the permitted characters (underscore). It’s advisable to use short names as the suggester name is supplied in the query string when you retrieve suggestions. Score is a reserved name and is not permitted to be used as a suggester name.
Additionally, two suggestions are supported:
- The level of fuzziness that can be used when FuzzyMatching suggests matches for a string can be set to none, low, or high. The requested string is considered as an exact prefix when none is provided. Suggestions must only deviate from the supplied string by one character or less when using low. Suggestions with high can vary by up to two characters. There is no default.
- To determine how each proposal is sorted, you can configure the SortExpression expression to compute a score for each one. With a floor of 0 and a ceiling of 231-1, the scores are rounded to the nearest integer. Sort expressions cannot make use of the _score value since the relevance score of a page is not computed for suggestions.
