Platform Overview
Core Catalyst Capabilities
Product Research & Discovery: Find and validate product opportunities with Product Database, Opportunity Finder, Product Tracker, and Category Trends.
Competitive Intelligence: Understand your performance against your closest competitors and examine your market for growth opportunities.
Keyword & Listing Optimization: Research and optimize with Keyword Scout, Keyword Lists, and Keyword Rank Tracker. Build and analyze listings with Listing Builder and Listing Analyzer.
Sales & Profitability Analytics: Track performance with Sales Analytics and Profit Tracker for insights on revenue, units sold, and profit margins by product or brand. Integrates with Amazon Seller Central accounts only.
Advertising Analytics: Monitor and analyze advertising campaign performance to track ad spend efficiency, ROAS, and campaign effectiveness.
Inventory Management: Monitor stock levels and avoid stockouts with basic inventory tracking tools.
Review Automation: Collect customer reviews with automated email sequences to build social proof.
Is Catalyst Right for You?
Choose Catalyst if:
● You're new to Amazon or building foundational knowledge
● You sell unbranded items or manage smaller brands (think up to $1M in Amazon revenue annually)
● You manage a smaller product catalog
● You need tools for product validation and listing optimization
● You want hands-on control of your daily operations
● You use Amazon Seller Central (Catalyst does not support Vendor Central)
What Catalyst delivers:
✔ Product research and validation tools
✔ Keyword optimization for listings
✔ Sales analytics and profitability tracking
✔ Advertising performance analytics
✔ Basic inventory management
✔ Review automation
Your key questions:
"Which keywords should I target?" | "What are my profit margins?" | "How is this product performing?" | "What product should I launch next?" | "How can I get my listings to perform better?"
Core Cobalt Capabilities
Performance Reporting & Custom Analytics: Build custom dashboards and visualizations that unify your entire Amazon business. Track executive-level metrics with breakdowns by category, brand, or product. Supports both Amazon Seller Central and Vendor Central accounts plus comprehensive advertising account integration.
Competitive Intelligence & Market Analysis: Analyze your competitive landscape with Market Analysis - instant, no-wait access to two years of rolling category data, competitor performance monitoring, and category-level trend analysis including subcategory visibility.
Buy Box Intelligence: Monitor buy box win rates across your catalog and identify revenue loss from unauthorized sellers.
Share of Voice & Keyword Intelligence: Track keyword dominance across your category and see which competitors own the most valuable search terms.
Is Cobalt Right for You?
Choose Cobalt if:
● You're an established brand needing market-level intelligence
● You need data to inform decisions at scale, like innovation and assortment
● You manage multiple brands or operate as an agency
● Unauthorized resellers impact your revenue
● You need to report performance to executives or stakeholders
● You want to understand your competitive position in the market
● You use Amazon Seller Central, Vendor Central, or both
What Cobalt delivers:
✔ Automated competitive intelligence and market share tracking
✔ Custom dashboards integrating multiple data sources
✔ Buy box win rate tracking and unauthorized seller monitoring
✔ Advanced advertising analytics with cross-campaign insights
✔ Strategic insights for executive decision-making
✔ Dedicated Customer Success Manager and priority support
Your key questions:
"What is my market share?" | "Why are my sales declining?" | "How much revenue am I losing from buy box losses?" | "How do I maximize profit, not just revenue?"
Core MCP Capabilities
Powered by Cobalt's Amazon Intelligence. Jungle Scout MCP connects Cobalt's deep Amazon marketplace data directly to the AI tools your team already uses - Claude, ChatGPT, Gemini, Copilot, and more - so you can ask business questions in plain English and get data-backed answers instantly, without opening a dashboard or waiting on an analyst.
Conversational Amazon Intelligence: Ask any business question about your category, competitors, market share, pricing, or keywords and receive an answer grounded in Cobalt's Amazon data - no dashboard export, no SQL query, no analyst request required.
Category & Competitive Analysis: Understand market share shifts, identify which brands are gaining ground, analyze price tiers, and track where demand is moving - all through a natural conversation with your AI tool of choice.
Product & Attribute Trends: Identify which product attributes, pack sizes, colors, formats, and price points are gaining traction in your category. Spot whitespace opportunities and new product activity as they emerge.
From Insight to Action - Instantly: Turn answers into category briefings, QBR summaries, scorecards, planning documents, spreadsheets, or executive updates - all within the AI tool your team is already working in.
Is MCP Right for You?
Choose MCP if:
● Your team already works primarily in AI tools like Claude, ChatGPT, Gemini, or Copilot
● You want Amazon market intelligence available conversationally - no dashboard required
● You need to move quickly from a business question to a data-backed answer or deliverable
● You want Cobalt's Amazon intelligence without the full Cobalt UI - or as a complement to it
● Multiple teams (Brand, Marketing, Sales, Category, Leadership) need access to Amazon intelligence in their existing workflows
● You need to produce briefings, reports, or executive updates directly from Amazon data without manual data pulling
What MCP delivers:
✔ Conversational access to Cobalt's Amazon marketplace intelligence
✔ Market share, category growth, and competitor analysis via AI
✔ Price-tier, keyword, and share of voice analysis
✔ Product attribute and launch trend analysis
✔ Instant outputs - briefings, scorecards, reports, and planning docs - without leaving your AI tool
✔ Works across Claude, ChatGPT, Gemini, Copilot, and approved AI environments
Your key questions:
"Which competitors are gaining market share in my category?" | "What price tiers are growing?" | "Where are the whitespace opportunities for new products?" | "Can you summarize our category performance for the QBR?" | "What's driving the change in our market position?"
Understanding Data Visibility: Catalyst, Cobalt & MCP
Catalyst and Cobalt both provide access to:
- Your product data: Sales and advertising data from integrated accounts. Cobalt includes more ad types and allows you to connect Vendor Central accounts, while Catalyst does not.
- Competitor product data: Sales estimates for products you don't own
- Keyword data: Search volume, relevance, and competition metrics
- Category data: Cobalt offers category and subcategory level trend data and benchmarking capabilities, while Catalyst shows top products within categories
MCP is powered by Cobalt's Amazon intelligence. MCP does not add a new data source - it gives your team a different way to access and apply the same Cobalt data through the AI tools where they already work. The depth and accuracy of what you can ask about is determined by your Cobalt subscription and data access. If you already use Cobalt, MCP extends that intelligence into your AI workflows. If you're new to Jungle Scout, MCP provides access to Cobalt's Amazon data through a conversational interface.
The progression: As your Amazon business evolves, so do the questions you need to answer. Catalyst is designed for growth-stage sellers asking "How do I find profitable products?" and "How do I optimize my listings and track performance?" Cobalt is built for the next stage, when your questions shift to "Why did my market share decline?" "How are competitors capturing customers I'm losing?" and "What strategic moves will position us ahead of the competition?" MCP is the next evolution - taking those same strategic questions and making them answerable in seconds through a conversation, without requiring anyone to log into a platform, pull data, or build a report.
From Data to Intelligence: What Changes with Cobalt and MCP
As your Amazon business grows, you reach a point where you need more than just product data. You need competitive intelligence, market context, and strategic insights to make informed decisions. Cobalt transforms your raw data into actionable intelligence by adding automated competitive tracking, market positioning, and executive-level analytics. MCP takes that intelligence one step further - making it available conversationally, in the AI tools where your team already works.
Here's what changes:
| Feature | Your View in Catalyst | Additional Context in Cobalt | How MCP Extends It |
|---|---|---|---|
| Reporting & Visualization | Your sales data and performance trends through standard feature views | Advanced reporting and visualization with custom dashboards, plus category and subcategory trends showing if the market grew or contracted | Ask for a performance summary, category briefing, or competitive snapshot in plain English and get a formatted output instantly |
| Pricing Intelligence | Your pricing | Competitive pricing landscape with your relative position | Ask which price tiers are growing and where whitespace exists - get an answer in seconds without building a view |
| Review Insights | Your review count and rating | Review velocity compared to competitors in your category | Surface review trends conversationally as part of a broader competitive question |
| Keyword Performance | Your keyword rankings | Share of voice across your category showing competitor keyword ownership | Ask which brands own the most valuable search terms in your category and get a direct answer |
| Buy Box Monitoring | Manual buy box checking | Automated win rate tracking across all your products | Ask about buy box performance as part of a broader revenue or competitive question |
| Competitive Analysis | Manual competitor searching | Automated competitor discovery and benchmarking | Ask "which competitors are gaining share and why?" and get a data-grounded answer without logging into a platform |
| Advertising Insights | Your advertising performance by campaign | Cross-campaign insights, competitive ad spend visibility, and advertising data across Sponsored Products, Sponsored Brands, Sponsored Display, Sponsored Brand Video, and DSP | Surface advertising insights conversationally where available based on your Cobalt subscription |
| Product Research & Trends | Manual product research using filters and basic market research tools | Trend identification with Market Analysis, Share of Voice data, Category Performance, and custom dashboards to build a customized view of all trend data | Ask which product attributes, formats, or price points are gaining traction and get an instant answer - no segment to build, no dashboard to configure |
Where Cobalt - and MCP - Make the Difference
Scenario A: Sales Decline Analysis
Situation: Your monthly sales decrease by 15%.
What Catalyst shows:
- Your sales dropped 15%
- Your listing metrics, keyword rankings, and review ratings remain stable
- You can manually research competitors but must search for and compile this data yourself
What Cobalt additionally shows:
- Category sales increased 20% (you lost significant market share)
- A new competitor captured 30% share of voice on your primary keywords
- An unauthorized seller won the buy box 40% of the time on your top ASIN
- Three competitors reduced prices by 10-15% relative to the category average
- Your Market Analysis view shows you dropped from #3 to #6 in market position
Result: Catalyst confirms the decline. Cobalt identifies the causes and competitive dynamics so you know what action to take. With Cobalt, you can track the impact of your strategic changes - whether you increased ad budgets to recapture share of voice, removed unauthorized resellers, or adjusted pricing to stay competitive. Using Events to annotate when changes were made and custom dashboards to monitor results, you can see exactly how your adjustments affect performance and make further refinements based on real data, not guesswork.
With MCP: Instead of logging into Cobalt to investigate, your analyst asks their AI tool "Why did our sales drop last month?" and gets an answer grounded in Cobalt's data in seconds - identifying the same competitive shifts, share of voice losses, and buy box issues, ready to drop into a Slack message or executive brief without any manual data pulling.
Scenario B: Buy Box Loss Investigation
Situation: You suspect unauthorized sellers are costing you revenue.
What Catalyst shows:
- Your sales data for each ASIN
- You must manually check the buy box on each product to identify other sellers
- You have to calculate potential lost revenue yourself, risking inaccurate estimates, and continuously update these calculations as conditions change
What Cobalt additionally shows:
- Automated buy box win rate tracking across all ASINs
- Identification of which sellers are winning the buy box and how often
- Revenue loss calculations based on buy box loss percentage and your own buy box win rate data to accurately calculate lost revenue
- Historical trends showing when unauthorized sellers appeared
Result: Catalyst requires manual monitoring and manual revenue calculations. Cobalt automates detection and accurately quantifies the revenue impact using your actual performance data, helping you prioritize enforcement actions.
With MCP: Ask your AI tool "How much revenue are we losing to unauthorized sellers?" and get a data-backed answer from Cobalt's buy box intelligence - ready to share with your legal or brand protection team without opening a single report.
Scenario C: Multi-Brand Portfolio Management
Situation: You're an agency managing 3 client brands across different categories and need consolidated performance insights.
What Catalyst shows:
- Individual product performance for each integrated Seller Central account
- You can switch between accounts to view each brand's sales data separately
- No unified view across all managed brands
- No client access permissions - you must manually compile reports to share with clients
What Cobalt additionally shows:
- Child accounts for each brand you manage, keeping data organized and segmented
- Unified dashboard view showing performance across all brands simultaneously
- Category-level performance for each brand with competitive positioning
- Cross-brand performance trends and insights
- Client access permissions so brands can view their own data directly
Result: Catalyst requires switching between accounts and manually compiling brand reports with no way to give clients direct access. Cobalt delivers executive-level dashboards showing portfolio health at a glance, organized child accounts for clean data management, and the ability to grant appropriate access to each client. This is why agencies choose Cobalt - it's built for multi-brand management.
With MCP: Your account team can pull a category summary or competitive briefing for any client brand directly from their AI tool before a QBR - no dashboard login, no data export, no analyst bottleneck. Cobalt holds the data; MCP puts it where your team is already working.
Scenario D: Keyword Strategy and Competitive Intelligence
Situation: You want to improve your keyword targeting and understand competitor strategies to capture more market share.
What Catalyst shows:
- Keyword search volume, relevance scores, and your current rankings for tracked keywords
- Keyword recommendations for your products
- You can look up any ASIN (yours or competitors') in Keyword Research to see ranking data, including page rank for sponsored, organic, and overall positions with 30-day daily views
- Historical keyword data available in weekly/monthly views
- Each keyword search requires manual effort - you must search each time you want updated data
- No way to create custom dashboards to track keyword progress over time
What Cobalt additionally shows:
- Share of Voice analysis showing which brands dominate specific keywords and overall category keyword ownership - this is automated and continuously updated unlike manual keyword lookups
- Custom dashboards to track your keyword strategy progress and competitive movements in a customized view
- Leverage Keyword Research to uncover new, high-potential search terms based on search volume and relevancy. When you notice your brand losing ground to a competitor, analyze their top ASINs to identify the search terms where they're ranking but you're not - revealing gaps in your ad coverage that you can exploit to compete directly and capture market share
Result: Catalyst helps you research keywords and track rankings, but requires repeated manual searches and interpretation of what to do with the data. Cobalt automates competitive keyword intelligence through Share of Voice, reveals category-wide keyword opportunities, and lets you build custom dashboards that track your strategic progress. When you see a competitor gaining ground, Cobalt helps you understand exactly which keywords they're winning and gives you the tools to build campaigns that capture that traffic - turning competitor insights into actionable growth strategies.
With MCP: Ask your AI tool "Which brands own the most valuable keywords in our category right now?" and get an answer grounded in Cobalt's Share of Voice data - without running a single manual search or opening a dashboard. Turn the answer directly into a campaign brief or planning document without leaving your AI tool.
Key Platform Differences
| Feature | Catalyst | Cobalt | MCP |
|---|---|---|---|
| How You Access It | Web platform | Web platform | Through your AI tool (Claude, ChatGPT, Gemini, Copilot, and more) |
| Data Source | Jungle Scout Amazon data | Jungle Scout Amazon data | Powered by Cobalt's Amazon intelligence |
| Account Type Support | Seller Central only | Seller Central and Vendor Central | Based on your Cobalt subscription |
| Market Intelligence | Manual competitor research with basic market research tools | Automated competitive tracking and market share analysis with Market Analysis | Conversational access to Cobalt's market intelligence - ask questions, get answers |
| Buy Box Monitoring | Manual checking | Automated win rate tracking across catalog | Ask about buy box performance conversationally |
| Category Data | Top products by category | Category and subcategory trend data with benchmarking | Ask category and subcategory questions in plain English |
| Advertising Analytics | Sponsored Products, Sponsored Brands, Sponsored Display | Sponsored Products, Sponsored Brands, Sponsored Display, Sponsored Brand Video, Self-Managed DSP, Amazon Managed DSP, Amazon Marketing Stream | Where available based on your Cobalt subscription |
| Dashboards & Reporting | Standard views for each feature | Fully customizable dashboards with external data integration | Generate briefings, scorecards, and reports directly in your AI tool - no dashboard needed |
| Share of Voice | Not available | Category-wide keyword dominance tracking | Ask share of voice questions conversationally |
| Listing Tools | Listing Builder & Listing Analyzer for operational efficiency | Not available (focus on competitive intelligence and strategic analytics) | Not available |
| Review Automation | Included | Not available (focus on strategic analytics) | Not available |
| Support & Services | Standard support | Dedicated Customer Success Manager, priority support, access to Consult services | Contact your CSM or request a demo to discuss eligibility and setup |
Making the Right Choice
Start with Catalyst if: You're building your Amazon business and need foundational tools for product research, keyword optimization, and performance tracking.
Move to Cobalt when: Your business complexity increases, you need competitive intelligence, unauthorized sellers impact revenue, or you're reporting to stakeholders who need executive-level insights.
Add or choose MCP when: Your team is already working in AI tools and needs Amazon market intelligence available conversationally - without logging into a platform, pulling data, or waiting on an analyst. MCP is available as a standalone offering powered by Cobalt's data, or as a complement to an existing Cobalt subscription. Contact your CSM or request a demo to discuss what's right for your team.
Many Cobalt users began with Catalyst and upgraded as business complexity increased. This is the natural progression for growing Amazon sellers. The platforms serve different business stages, and upgrading reflects your business maturity. MCP represents the next step in that evolution - bringing the same Cobalt intelligence into the AI-native workflows where teams increasingly research, plan, and decide.
Frequently Asked Questions
Can I track unauthorized sellers across my entire catalog with Cobalt?
Yes. Cobalt automatically monitors buy box win rates across all your ASINs and identifies which sellers are winning the buy box and how often. It calculates revenue loss based on your actual buy box win rate data, so you can prioritize enforcement actions based on real financial impact rather than guesswork.
How does Cobalt support multi-brand or agency workflows?
Cobalt is built for agencies and multi-brand management. You can create child accounts for each brand you manage, keeping data organized and segmented. You get unified dashboard views showing performance across all brands, and you can grant client access permissions so each brand can view their own data directly. This eliminates manual report compilation and gives clients real-time visibility into their performance.
How does Cobalt help me grow faster than competitors?
Cobalt turns hindsight into foresight. While competitors stay reactive - noticing trends only after they've lost ground - Cobalt gives you the full picture so you can anticipate market shifts. Category Performance exposes which competitors are driving pricing, ad spend, or conversion shifts. You can see price changes before they impact you, identify keyword gaps where competitors aren't covering, and spot innovation opportunities in product attributes, formats, or features that are gaining traction. By the time you upgrade, you've already lost ground in areas you couldn't see. Cobalt helps you recover that ground and stay ahead by turning competitive intelligence into actionable strategy.
Why is Cobalt better if it's the same data?
While both platforms access similar raw data, Cobalt transforms that data into strategic intelligence. Catalyst shows you what happened - your sales dropped 15%. Cobalt shows you why it happened - a competitor captured 30% share of voice on your primary keywords, an unauthorized seller won the buy box 40% of the time, and three competitors reduced prices while the overall category grew 20%. This is the difference between seeing outcomes and understanding causes. Cobalt doesn't just tell you you're losing revenue - it shows you where the leak is, who's benefiting, and exactly how to plug it. That level of precision changes business outcomes.
Is Cobalt only for big brands?
No. Cobalt isn't for big brands - it's for growing brands ready to scale strategically. Size isn't what defines readiness; visibility needs are. As soon as you're managing multiple ASINs, categories, or retail partners, you need Cobalt's Executive Overview and Category Performance to see how all the pieces connect. When you're dealing with unauthorized sellers or losing market share, you need Cobalt's intelligence to understand why and act decisively. The businesses that wait to upgrade have already lost ground they can't see. Cobalt gives you the system to stop managing reactively and start scaling strategically - before your competitors do.
What if my team finds Catalyst easier to use?
Catalyst's simplicity is valuable when you're learning the basics, but it also requires manual data stitching that creates inefficiencies as you scale. That's why it's better for smaller brands. Catalyst drives time-to-value quickly, but at the cost of fragmented insights and human error. Cobalt eliminates that friction with Executive Overview as your unified home base, connecting every KPI, category, and product view automatically. You're not trading ease for complexity - you're gaining efficiency. Less manual work, faster insights, and smarter decisions. Plus, you get a dedicated Customer Success Manager and personalized onboarding to ensure your team is set up for success from day one.
Can I migrate from Catalyst to Cobalt?
Yes, you can upgrade from Catalyst to Cobalt as your business grows. They are separate platforms, so when you integrate your Amazon accounts with Cobalt, we backfill data according to Amazon's limits. However, data specific to Catalyst features (like tracked keywords or saved product lists) cannot transfer automatically. If you have specific data you want to preserve, mention it during your Cobalt demo call and we'll work to accommodate your needs.
Does Cobalt include Listing Builder and Listing Analyzer?
No. Listing Builder and Listing Analyzer are Catalyst features designed to help new and growing sellers get operational. Cobalt users manage listings in Amazon's console while using Cobalt for competitive keyword research, share of voice analysis, and intelligence to inform listing improvements. Most Cobalt customers have dedicated teams and established processes for listing management.
Does Cobalt have review automation?
No. Review Automation is a Catalyst feature for building social proof. Cobalt focuses on competitive intelligence and strategic decision-making rather than operational tools.
What is Jungle Scout MCP?
Jungle Scout MCP connects Cobalt's Amazon marketplace intelligence to the AI tools your team already uses - Claude, ChatGPT, Gemini, Copilot, and more. It lets anyone on your team ask a business question in plain English and receive an answer grounded in real Amazon data, without logging into a dashboard, pulling a report, or waiting on an analyst. MCP stands for Model Context Protocol - the standard that allows AI platforms to connect to approved data sources like Cobalt.
Does MCP replace Cobalt?
No. Cobalt remains the enterprise platform for investigating Amazon categories, competitors, products, pricing, keywords, sellers, and performance in depth. MCP extends that intelligence into conversational AI, giving teams another way to access and apply Cobalt data within their existing workflows. Many teams use both - Cobalt for deep analysis and custom dashboards, MCP for quick answers and on-the-fly briefings.
Do I need Cobalt to use MCP?
MCP is powered by Cobalt's Amazon intelligence, so access to Cobalt data is required. Existing Cobalt customers can contact their CSM to discuss MCP eligibility and setup. If you're new to Jungle Scout, you can request a demo to learn about the right combination of Cobalt and MCP for your organization.
Which AI tools does MCP work with?
Jungle Scout MCP is designed to work with AI platforms that support MCP connections, including Claude, ChatGPT, Gemini, Copilot, and approved custom or internal AI environments. Availability and functionality may vary by platform and organizational configuration.