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What is Sonar Amazon Keyword Tool?

Sonar is a cutting-edge keyword research platform tailored for Amazon sellers, vendors, and agencies, helping them uncover essential keywords that can improve their product listings and elevate Amazon SEO. The tool boasts a frequently updated database that encompasses a variety of Amazon products and keywords while offering keyword search capabilities. It specifically focuses on keywords linked to ASINs that rank on the first page of Amazon search results, based on the latest database update. Consequently, newly launched products or those with lower visibility might not be represented in Sonar's keyword suggestions. The database is built from customer search queries across all product categories submitted to Amazon, purposely omitting data from other platforms like Google. In light of the absence of keyword search volume data from Amazon, we have developed a prediction algorithm that assesses the potential visibility of a keyword, along with various other crucial metrics, ensuring that sellers gain the insights needed to effectively enhance their listings. By leveraging these features, Sonar not only empowers users to make data-driven decisions but also plays a significant role in boosting their overall sales performance on the platform, ultimately leading to a competitive edge in the marketplace.

What is KWScanner?

KWScanner is an innovative online resource aimed at keyword analysis and campaign development, tailored for in-house marketers, SEO experts, content strategists, pay-per-click specialists, and agencies. It enables users to evaluate groups of up to 3,000 keywords across various important metrics, such as search volume, average cost per click, level of competition, and monthly trends; furthermore, users can construct reusable lists, apply filters and sorting options to their results, and conveniently export campaign briefs in CSV format. The platform is instrumental in planning strategies for landing pages, content projects, market validation, and paid advertising groups. Moreover, a convenient browser extension allows users to access keyword metrics directly within their Google search results, enhancing the user experience. With an optional integration to Google Ads, users can easily move chosen keywords into their preferred ad groups without hassle. Instead of the typical recurring subscription model, KWScanner utilizes a prepaid credit system for keyword research, allowing users to purchase credits that never expire, while also offering free starter credits to new accounts, helping them get acquainted with the research functionalities. This distinctive approach not only provides cost savings but also offers users greater flexibility in managing their keyword strategies effectively, making it a valuable tool for digital marketing endeavors. Ultimately, KWScanner stands out as a powerful ally for anyone looking to enhance their online presence through strategic keyword utilization.

Media

Media

No images available

Integrations Supported

Amazon

Integrations Supported

Google Ads

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

$5
Prepaid, pay-as-you-go credits: 1 credit researches 1 keyword. Minimum purchase is $5 for 10,000 credits. Published volume tiers reduce the per-keyword rate as purchase size increases; credits do not expire. No recurring seat subscription is stated.
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Sellics

Date Founded

2014

Company Location

United States

Company Website

sellics.com/sonar-amazon-keyword-tool/

Company Facts

Organization Name

KWScanner

Company Website

kwscanner.com

Categories and Features

Amazon Seller Tools

Not specified

eCommerce Tools

Not specified

Keyword Research

Not specified

Categories and Features

Keyword Research

Not specified

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