DataHawk vs. Jungle Scout: A Comparative Analysis of Alternative Tools
No matter their business size or level of expertise, Amazon and Walmart sellers can benefit substantially from leveraging eCommerce optimization software. By using optimization software, eCommerce sellers can improve their product listings, increase visibility, and drive more sales on the platform. More importantly, they can automate tasks such as pricing adjustments, keyword optimization, and inventory management, allowing sellers to focus on other aspects of their business.
Many in the industry know that Helium 10, Jungle Scout, and DataHawk are likely some of the most popular and accredited analytics software available. As such, to help Amazon and Walmart sellers choose the software that best fits their needs, this article will examine, compare, and contrast both Jungle Scout and DataHawk’s tools and features to help sellers make a confident decision about which software to use. Please note that this article is intended to be as objective as possible and in no way aims to portray Jungle Scout as inferior.
Both tools are great with their own strengths and weaknesses. Instead, this article seeks to provide a thorough competitive analysis of two Amazon analytics software and give sellers enough information about each to help sellers decide which one to commit to because each tool may have different features and capabilities better suited for different types of businesses and goals.
DataHawk vs. Jungle Scout Overview
Jungle Scout and DataHawk are both popular eCommerce optimization software designed for Amazon and Walmart sellers. Both tools provide a wide range of features and capabilities to help sellers improve their visibility and sales on the platform. However, each platform has its own unique set of features and capabilities that set it apart from the other.
Jungle Scout is a comprehensive suite of tools designed to help sellers with product research, product tracking, and listing optimization. It has four main products, Jungle Scout, Jungle Scout Cobalt, Jungle Scout API, and Downstream, and offers an additional 15 features. Compared to other platforms, Jungle Scout is unique in that it offers a plethora of resources to sellers, such as reports, recurring videos, and even an Academy, which is a training program for selling on Amazon using Jungle Scout.
DataHawk, however, is first and foremost a data and eCommerce intelligence platform designed for both Amazon and Walmart sellers of all company sizes to streamline daily business operations and optimize performance metrics. It has three main products, which include Connections, Analytics, and Intelligence, and over ten accompanying tracking and optimization tools. Connections is at the core of what DataHawk does. It serves as an automated data collection and storage platform, consolidating data it collects in a cloud database that it manages for its customers while ensuring user ownership.
How DataHawk Differs
Where DataHawk excels, compared to other eCommerce analytics platforms, is in its dashboards. For instance, DataHawk’s customer success team is dedicated to working with clients to find the areas in which their business performance can improve to build a custom dashboard with their marketplace data based on their needs and challenges, then set that dashboard to autopilot. With DataHawk, eCommerce sellers benefit from data consolidation, data ownership, and simplified workflows.
Alternatively, on web apps like Jungle Scout, users are limited in how they visualize their data. What DataHawk does differently is transfer user data to a dedicated database and give users the credentials to access it, which allows them to have a zoomed-out and high-level view of their marketplace operations to identify solutions to challenges quickly. However, users’ databases are only as powerful and detailed as the projects they choose to populate within the web app. For this reason, DataHawk users fill their workspaces with as much data as possible in order to get the most comprehensive and accurate view of the marketplace.
Jungle Scout Tools and Features
As previously mentioned, Jungle Scout has four main products Jungle Scout, Jungle Scout Cobalt, Jungle Scout API, and Downstream–all with product and market research analytics. Additionally, it has fifteen supplementary features, each of which will be introduced and explained in this article section.
The Browser Extension allows users to access Jungle Scout capabilities directly on Amazon with an extension browser, which is supported by both Chrome and Firefox.
The Keyword Scout tool allows users to pinpoint which keywords have the largest impact on listings and PPC ads and sort through thousands of keywords using filters. Users can also use the Keyword Scout to reverse-search ASINs to discover the keywords competing products are using.
The Product Tracker allows users to monitor opportunities and measure the performance of a product over time to reduce the risk of seasonal shifts and survey sales metrics to identify viable selling opportunities on Amazon.
The Rank Tracker allows users to view keyword rank history, monitor keyword rankings over time in a single graph, or discern trends by analyzing the last 30 or 60 days of Amazon keyword ranking data.
The Opportunity Finder allows users to discover opportunities by searching for high-demand and low-competition keywords, turning search terms into a market segment, and seeing data on sales performance.
The Listing Builder tool helps users compete for creating Amazon product listings that rank on the search results page and optimize existing listings with recommended keywords and AI-driven Listing Optimization scores.
The Product Database allows users to organize, explore, and evaluate product ideas by sorting through Amazon products using a filter to match specific search criteria and reveal profitable opportunities.
The Review Automation tool is an alleged ToS-approved solution that allows users to automate the Seller Central review request process to earn new reviews and automatically send out review requests to all eligible orders.
The Supplier Database helps users search for and connect with suppliers for their Amazon business. The database includes information on suppliers’ contact information, product categories, and MOQ (minimum order quantity).
Sales Analytics is a software that allows users to track and analyze sales data for their Amazon business. The tool provides users with detailed information on product sales, revenue, and profitability, as well as insights on market trends and competitors.
Advertising Analytics is a software that allows users to track and analyze the performance of their Amazon advertising campaigns. The tool provides users with detailed information on ad spend, click-through rates, conversion rates, and revenue generated from their campaigns.
The Inventory Manager tool allows users to track their inventory levels, set reorder points, and receive alerts when stock is running low. It also provides users with historical sales data, which can help users make informed decisions about how much inventory to keep on hand.
The Alerts tool allows users to set up notifications for specific events related to their Amazon business. These notifications, or alerts, can be set up for a variety of different metrics, such as changes in sales, product reviews, ranking, and price.
The Promotions feature helps users to create and manage promotions for their products on Amazon. The tool allows users to create and run lightning deals, coupons, and other types of promotions to increase sales and visibility of their products. Users can set up the promotions to run for a specific period of time, and can track the performance of the promotions in real-time.
The Category Trends tool provides users with data on the sales, revenue, and profitability of products within a specific category, as well as information on the number of reviews, average rating, and price range of products. It also allows users to track changes in sales and revenue over time, and identify trends within the category.
DataHawk Tools and Features
As previously mentioned, the three main products DataHawk offers are Connections, Intelligence, and Analytics. This section will briefly introduce each of the products along with their accompanying tools and features.
Connections lets you sync your Amazon or Walmart data to BI tools of your choosing and create custom dashboards to visualize your marketplace data or use a variety of prebuilt ones. The prebuilt Google Sheets dashboards DataHawk offers include a detailed Operations Dashboard, Search Dashboard, Best Seller Rank Dashboard, Profit and Loss Dashboard, Advertising Dashboard, and Content Dashboard.
This product allows you to connect a dedicated DataHawk database to your BI tools and other destinations, which ultimately gives you access to their rich, raw data. These tools include Excel, Snowsight, Power BI, Looker, Tableau, and many others. When you enable the Connections feature, DataHawk automatically builds a specific database filled with your data and hosted on Snowflake.
Intelligence serves as your very own Amazon and Walmart AI advisor. This product, which comprises two tools, Product Alerts and Insights, allows sellers to receive customizable alerts and personalized automated AI-backed insights on any of their products accompanied by recommendations on resolving various business challenges.
There are three primary categories of Insights: Findings, Anomalies, and Good Practices. Each allows you to save time by assigning tasks to team members based on their expertise and prioritizing tasks more smoothly by addressing insights based on their impact status.
From market to SEO, Findings Insights cover various business domains that require optimization. Findings are business-savvy insights that help you manage specific aspects of your business. For example, they can include actionable recommendations on how to improve your listings organically, competitive products weekly digest, ineffective sponsored product ad campaigns, and top-performing sponsored product ad campaigns.
Anomalies are Insights that shed light on outliers in your data. They notify you of unexpected changes our software has detected within your data. There are two types of anomalies DataHawk detects, gross sales anomalies and units sold anomalies.
3. Good Practices
Good Practices are a curated selection of eCommerce insights that are ideal prerequisites to help you improve your business metrics. They are not based on your data but cover basic industry knowledge that can help you get started. Good Practices include: how to make the most out of Amazon FBA, how to effectively use sponsored ads, how to increase conversions with listing images, and how to win the Buy Box.
DataHawk’s Product Alerting tool allows Amazon and Walmart sellers to stay up to date with all listing changes in real-time based on customizable rules and triggers by scheduling alerts related to any product to respond to noteworthy changes timely. There are nine different product alerts sellers can set up to manage their eCommerce business operations with ease and confidence.
1. Listing Alerts – receive alerts on changes in any Amazon or Walmart product listing information, such as title, image, description, and bullet points.
2. Sales Rank Alerts – receive alerts when products you track on Amazon or Walmart drop out of the top 10 BSR or when a product’s BSR reaches a specific value.
3. Price Change Alerts – Receive alerts on the price changes of any product you track on Amazon or Walmart and customize the range of price changes.
4. Hijacker Alerts – receive alerts when our software detects an unauthorized seller selling a counterfeit or similar version of your product on Amazon or Walmart.
5. Buy Box Alerts – receive alerts when you lose or win the Buy Box on Amazon or Walmart and get updates on who is winning the Buy Box and what price.
6. Ratings Alerts – receive alerts when any product gets new ratings and when there are changes to the number of star ratings of any product.
7. Out of Stock Alerts – receive alerts when the stock drops or the status goes from “in stock” to “out of stock” for any product you track on Amazon or Walmart.
8. Sellers Alerts – receive alerts when there are changes to the number of sellers selling a particular product in your Amazon or Walmart category.
9. Review Alerts – receive alerts when any of your Amazon or Walmart products get new reviews to track the evolution of listing reviews and correlated the data with your sales velocity.
DataHawk’s Analytics product, like many other competitor products, allows Amazon and Walmart sellers to track and analyze their SEO, product, market, advertising, and financial analytics. However, Analytics offers a wide variety of monitoring and optimization tools.
Keyword Rank Tracker
The Keyword Rank Tracker allows Amazon and Walmart sellers to track up-to-date keyword ranks to monitor daily changes in the organic and sponsored search performance of any product, identify keywords that drive the most organic traffic, and measure the success of SEO efforts.
Keyword Research Tool
Keyword Research Tool provides Amazon and Walmart sellers with the search metrics they need to identify top-performing keywords by examining AI-generated difficulty scores to determine keyword efficacy and analyze their search volume, price, and more.
Listing Optimization Tool
Listing Optimization Tool helps Amazon and Walmart sellers optimize product listings and increase visibility through a listing analysis dashboard and AI-generated product listing quality scores that indicate which aspect of their listings needs to be improved.
Sales Rank Tracker
The Sales Rank Tracker allows Amazon and Walmart sellers to discover top-performing brands in tables and line graph visualizations to study a product’s sales rank average and changes over a selected timeframe and monitor historical BSR data to identify trends and analyze how the trajectory of your sales impacts your sales ranking.
Best Seller Rank Browser
The Best Seller Rank Browser allows sellers to assess how products rank across categories with real-time data (sales rank, competitiveness score, reviews, price, and estimated monthly sales and pre-COGS margin), and analyze category dynamics of top sellers to evaluate their performance, and pinpoint how to improve your product’s organic rank by determining how sales velocity impacts BSR.
Sales Estimator Tool
The Sales Estimator Tool allows sellers to leverage an AI-computed metric to determine any product’s estimated maximum and minimum monthly sales, browse over 3M products with search filters, and predict your sales using insights by combining the results with Amazon sales rank data and top-selling products data.
Buy Box Tracker
The Buy Box Tracker allows Amazon and Walmart sellers to track daily changes for any ASINs’ Buy Box winner and discover the winning Buy Box sellers list, the win rate per seller, and price variance, all in one easy-to-grasp view.
One software is not better than the other; both DataHawk and Jungle Scout fulfill different needs. Each one has its own user interface, products, and features designed to help Amazon sellers optimize their business performance. In short, Jungle Scout is more focused on product research, product tracking, and listing optimization, while DataHawk is more focused on Amazon and Walmart analytics, data connectivity, and building curated visualizations and dashboards. Both tools have their own unique strengths, and the one that will work best for you will depend on your specific needs and goals as an Amazon seller.
This article was intended to provide a snippet into DataHawk and JungleScout’s platform, tools, and features to help eCommerce sellers make a sound decision on which software might fit their needs best. As a seller, you have the upper hand. Choose a software based not only on its tools but also on its reviews and customer service. Go with the platform that will build its box around you, not the other way around. For more information about whether or not DataHawk is the right tool for you, click on this link for a demo or to speak with a sales rep.