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Introducing Speed to Insight: Complete Amazon Data — Actionable Instantly

Introducing Speed to Insight: Complete Amazon Data — Actionable Instantly

Brands selling on Amazon don’t need more data. They need faster answers.

We’re launching Speed to Insight – Jungle Scout’s newest Cobalt release that transforms industry-leading Amazon data into AI-powered, analyst-grade intelligence in minutes.

This release combines:

  • Agentic AI-powered workflows
  • Deeper variant-level ASIN visibility
  • Thematic growth insights based on consumer demand indicators
  • Instant, limitless market intelligence segmentation
  • Clear Buy Box and compliance risk signals

The result? Brands can turn data into strategy faster than ever.

Get a demo
Speed to Insight Q1 ’26 release graphic highlighting faster answers and deeper Amazon market clarity. What is Speed to Insight.

All of Jungle Scout’s latest features can be summed up with one term – speed to insight. To us, this means brands don’t need to wait or exhaustively search for answers to complex Amazon data questions. 

Instead of navigating dashboards, exporting spreadsheets, or relying on analyst support, teams can now:

  • Analyze ASIN performance at the variant level
  • Generate category deep dives in seconds
  • Run AI-guided benchmarking workflows
  • Surface revenue risk from unauthorized sellers

It’s your AI analyst – built directly into your Amazon data platform.


Variant-Level Insights

One of the most powerful upgrades in this release is deeper ASIN variant-level data visibility.

Amazon variant-level performance dashboard showing revenue and sales by product variation.

What are variant-level insights?

Variant-level insights allow brands to analyze performance at the:

  • Size level
  • Color level
  • Pack count level
  • Configuration level
  • Attribute level (material, flavor, format, features)

Instead of analyzing only the parent ASIN, you can now:

  • Generate consistent variant-level revenue estimates
  • Compare performance across variation themes
  • Identify which configurations drive demand
  • Understand how shopper preferences impact revenue

Why ASIN Variant Data Matters

Amazon customers don’t shop by parent ASIN. They shop by preference — size, color, price, material, pack.

Variant-level insights unlock:

Better Assortment Decisions

See which variations outperform and which underperform.

Smarter Innovation

Identify attribute trends driving growth across your category.

Improved Pricing Strategy

Spot pack-size effects, pricing shifts, and Buy Box disruption at the variant level.

More Efficient Advertising

Invest in the variants actually driving conversion and demand.

Innovation happens in the details. Now your Amazon data does too.

Read more about Our Data

Product Attributes

Product attribute insights help brands understand how specific features — like material, size, flavor, or format — influence performance across a category.

Product attribute analysis dashboard showing performance by product features like size, color, and material.

Instead of analyzing products only at the ASIN or variant level, you can now break down performance by the attributes that actually drive shopper decisions.

Brands can now:

  • Analyze how individual attributes impact revenue and demand
  • Compare performance across attribute groups (e.g., material, flavor, pack type)
  • Identify which features are gaining or losing traction in the market
  • Understand how product characteristics influence conversion and pricing
  • Uncover emerging trends in shopper preferences

This gives teams a clearer view of not just what is selling — but why.

Why Product Attributes Matter

Shoppers don’t think in ASINs — they think in features and benefits.

Stronger Product Strategy

Identify which features resonate most with customers and prioritize them in your assortment.

Smarter Innovation

Spot emerging trends early and develop products aligned with evolving shopper preferences.

Improved Positioning

Understand how attributes influence pricing, conversion, and perceived value.

More Effective Merchandising

Highlight the features that matter most to drive better on-page performance and conversion.

Introducing Limitless Market Insights

Speed to Insight replaces static, manually built lists with dynamic, instant Limitless Market Insights. This is a product improvement we’re so proud to share with our customers. 

Limitless segments framework showing instant segments across categories, keywords, brands, sellers, products, and variants.

Jungle Scout offers hundreds of data points, powered by millions of signals and products. We wanted to offer a more seamless experience to filter down products and categories to the data that most resembles your competitive market.

Teams can now:

  • Build segments in seconds
  • Analyze without ASIN limits
  • Explore performance across unlimited groupings
  • View point-in-time performance trends
  • Ensure data is always current

AI-Powered Amazon Analytics

Amazon Benchmarking & Category Analysis

Amazon benchmarking and category analysis help brands understand how they’re performing and how they compare to the broader market.

AI-powered Amazon analytics dashboard showing category share, competitor performance, and insights

With benchmarking analysis, brands can:

  • Compare revenue performance against competitors
  • Evaluate share of voice and market share trends
  • Identify pricing differences and elasticity shifts
  • Detect performance gaps across products, segments, and attributes
  • Understand where they are over- or under-performing

With category analysis, brands can:

  • Track whether a category is growing, stable, or declining
  • Understand shifts in demand, seasonality, and shopper behavior
  • Identify emerging trends across keywords and product types
  • Analyze how pricing and assortment are evolving across the market
  • Spot high-growth segments and whitespace opportunities

By combining category intelligence with benchmarking, teams can quickly move from observation to context.

Seller Compliance

Unauthorized third-party sellers can quietly erode revenue, disrupt pricing, and weaken Buy Box control.

Amazon distribution analysis dashboard showing authorized and unauthorized seller activity and performance metrics.

The Seller Compliance Dashboard view now connects seller behavior directly to financial impact.

Brands can now:

  • Monitor authorized vs. unauthorized sellers
  • Track Buy Box Win Share trends
  • Quantify revenue at risk
  • Measure enforcement effectiveness over time

What problems does this solve?

Uncontrolled third-party distribution leads to:

  • Buy Box loss
  • Pricing violations
  • Revenue leakage
  • Brand dilution

Now you have one unified view of your Amazon distribution health.

Learn more about how to Protect your Market Share


How Speed to Insight Connects Everything

Speed to Insight brings together three critical layers of Amazon intelligence:

1. Category-Level & Benchmarking Intelligence

Understand whether a category is growing, stable, or declining – and why.

2. Variant-Level & Product Attribute Insights

Analyze ASIN variant data across size, color, pack, and product attributes.

3. Seller & Distribution Visibility

Monitor third-party sellers and quantify Buy Box revenue impact.

Together, these layers deliver complete Amazon market intelligence – from macro category trends to individual variant performance.

Built for Enterprise Amazon Brands

Speed to Insight is designed for:

  • Enterprise Amazon brands
  • Ecommerce directors
  • Category managers
  • Revenue leaders
  • Compliance teams
  • Performance marketing teams

If your team relies on Amazon data to drive growth, this release was built for you.


From Signal to Strategy — Instantly

The beauty of Cobalt has always been the data.

Speed to Insight unlocks it.

With AI-powered workflows, deeper ASIN variant data, limitless segmentation, and unified compliance visibility, Jungle Scout is redefining what Amazon intelligence looks like in 2026.

Because modern Amazon brands don’t just need data.

They need answers.

Get a demo

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