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Average Ratings 0 Ratings
Description
A comprehensive SaaS solution designed for global customer feedback and product analysis, it offers a more streamlined and cost-effective approach to staying ahead in the market. Serving as your ecommerce assistant, it utilizes ChatGPT-driven tools to enhance your business operations through insightful suggestions, prompt answers to inquiries, and automated report generation along with PRD design. It integrates seamlessly with platforms such as Amazon, Shopify, SurveyMonkey, Facebook, Instagram, Walmart, Salesforce, and AfterShip. Focused on product selection, optimization, consumer insights, and marketing tactics, it aggregates all product reviews and BSR data while supporting customization across various platforms. By harnessing advanced algorithms, including ChatGPT, natural language processing (NLP), and named entity recognition (NER), Shulex VOC empowers sellers and brands to uncover market opportunities and pinpoint successful products through sentiment analysis and AI technology. Propel your business forward by leveraging the unmatched capabilities of our ChatGPT tool, which offers AI-driven listing optimization with up to 10 queries per day for maximum efficiency. This innovative approach ensures that your ecommerce strategies are not only effective but also adaptive to the evolving market landscape.
Description
Sonar is an innovative keyword research tool designed specifically for Amazon sellers, vendors, and agencies, aiding them in discovering all pertinent keywords that can enhance their product listings and boost Amazon SEO. This tool features a regularly updated database containing various combinations of Amazon products and keywords, alongside its keyword search functionality. It only highlights keywords for which the associated ASIN appears on the first page of Amazon search results during the latest database refresh. Newer products or those with low rankings may not yet be included in Sonar's offerings. The keyword database encompasses customer search terms from all product categories submitted to Amazon, deliberately excluding data from other sources like Google. Since Amazon does not provide any keyword search volume information, we have created a prediction algorithm that estimates the likelihood of a keyword's visibility along with several other essential metrics, ensuring sellers have the necessary insights to enhance their listings effectively. Through these features, Sonar empowers users to make informed decisions and improve their overall sales performance on the platform.
API Access
Has API
API Access
Has API
Integrations
Amazon
AfterShip
ChatGPT
Facebook
Google Chrome
Instagram
NLP Cloud
Salesforce
Shopify
SurveyMonkey
Integrations
Amazon
AfterShip
ChatGPT
Facebook
Google Chrome
Instagram
NLP Cloud
Salesforce
Shopify
SurveyMonkey
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Shulex
Website
www.voc.ai/
Vendor Details
Company Name
Sellics
Founded
2014
Country
United States
Website
sellics.com/sonar-amazon-keyword-tool/
Product Features
Product Features
Amazon Seller Tools
A/B Testing
Alerts / Notifications
Analytics / Reporting
Campaign Management
Competitor Analysis
Content Management / Optimization
Conversion / ROI Tracking
Customer Data Management
Email Marketing
Feedback Management
Inventory Management
Keyword Tracking / Research
Order Management
PPC Ads Management
Price Optimization
Rank Optimization
Refund Management
Review Management
Sales Tracking / Analysis
Shipping Management
Trend Analysis