Sellzone toolbox is designed to help Amazon sellers make the most out of each Amazon product listing by influencing its visibility, traffic, and conversions. Sellzone is brought to you by the Semrush team, and its 12 years of experience in providing solutions for marketers.
Sellzone toolbox contains 7 tools:
Keyword Wizard – Amazon keyword research tool enabling sellers to improve Amazon listing visibility by finding high-volume search terms to rank for.
Traffic Insights – allows you to run reverse ASIN lookup, evaluate and compare Amazon organic and external traffic sources of any product listed on Amazon
PPC Optimizer – helps Amazon sellers launch and manage their Amazon ads campaigns by building the semantic core and tracking the effectiveness.
Product Research – identifies the most profitable products and categories to sell on Amazon, provides the FBA calculator, and shows the breakdown of Amazon fees associated with selling a particular product.
Listing Quality Check - audits listing content for errors and provides advice on improving its performance.
Split Testing - runs automated split testing of product pages, so you can find the best-performing parameters for your listings based on live test data.
Listing Protection - monitors listings of your own or competing products and instantly alerts you of any changes via email or SMS.
Qrvey is the only solution for embedded analytics with a built-in data lake. Qrvey saves engineering teams time and money with a turnkey solution connecting your data warehouse to your SaaS application.
Qrvey’s full-stack solution includes the necessary components so that your engineering team can build less.
Qrvey’s multi-tenant data lake includes:
Qrvey’s embedded visualizations support everything from: - Standard dashboards and templates - Self-service reporting - User-level personalization - Individual dataset creation - Data-driven workflow automation
Qrvey delivers this as a self-hosted package for cloud environments. This offers the best security as your data never leaves your environment while offering a better analytics experience to users.
The result: Less time and money on analytics.
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Qrvey's answer:
Product Leaders that include Product Management and Engineering Teams and CEO/CTO/CPOs of B2B SaaS Companies
Qrvey's answer:
Qrvey takes a different approach to embedded analytics. Instead of focusing almost completely on the front end, we know that any analytics function starts with data.
Qrvey includes a full-featured data lake powered by Elasticsearch, not a basic relational caching layer. Furthermore, by including a data lake, the cost to scale out is much less than traditional data warehouses.
For the user-facing components of the platform, Qrvey offers more embedded components and APIs to personalize the experience beyond static dashboards. Qrvey offers:
All of this is backed by a semantic layer that makes integrating Qrvey into the security model of SaaS applications simple.
Qrvey's answer:
Customers choose Qrvey for the following reasons:
Based on our record, Qrvey seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Since you're on AWS already, check out https://qrvey.com. Source: 7 months ago
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