Algopix (by Cluster)

Amazon US CHROME EXTENSION

TIMELINE

1 month

YEAR

2024

ROLE

Lead Designer

PLATFORM

Chrome Extension

Project Overview

Project Overview

Project Overview

About Algopix

Algopix (by Cluster) is an eCommerce data engine designed for online sellers on Amazon, eBay, and Walmart. By analyzing over 2 billion products, it helps sellers make smarter, data-driven decisions and enhances the accuracy and quality of their product listings.

The challenge

Our research revealed that while users found significant value in Algopix for their initial store catalog research, they struggled to see the continued benefit of using the platform beyond that stage.


Based on our exit survey, 52.7% of users identified product research as their primary motive for using Algopix, while 42.8% cited no longer needing the tool as their reason for leaving.


Our challenge was to deliver features and insights that catered to ongoing research and monitoring, ensuring consistent value throughout their selling journey.

The Chrome extension solution

The Algopix Chrome Extension is part of a holistic feature suite that includes the Chrome extension, product tracking, listing builder, sales estimator, and product matching. Together, these tools empower users to research, track, and monitor their catalog throughout their store's lifecycle.

The redesigned Chrome Extension simplifies product research by providing online sellers with real-time market insights and enhanced data directly while browsing Amazon US. This project builds on the foundation of a previous tool that saw limited usage, rethinking its design and functionality to better meet user needs and drive engagement.

Business Opportunities

By addressing the need for ongoing research, we aim to improve user retention, which has been a significant challenge for Algopix. The Chrome Extension was developed in response to both user requests and insights from competitor analysis. Our research revealed that our largest competitor offers a similar tool with 400K downloads, highlighting the potential demand and opportunity for growth in this space.

Budget Constraints

To manage resources effectively and account for other ongoing projects, we prioritized developing a phase 1 version of the Chrome Extension. This initial feature set was designed to validate user demand and gather valuable feedback before committing to a full-scale rollout.

My role

Product Design

Usability Testing Analysis

Design System

Accessibility Assurance

Team

CEO, Product Manager, Dev Team

Results

1.2K

1.2K

1.2K

Active users within 3 month (exceeding our goal of 800 users)

12%

12%

12%

Of users mentioned the Chrome Extension during user interviews

+11%

+11%

+11%

Average monthly growth in downloads

8.1%

8.1%

8.1%

Of Single Product Analysis users access the tool via the Chrome Extension

Discovery

Discovery

Discovery

We started collecting data

Our discovery phase focused on identifying pain points and opportunities to enhance the Chrome Extension. This included interviews with Amazon sellers, a user survey, and competitor research (with a particular emphasis on Jungle Scout).

Competitor analysis

Focused on Jungle Scout as a key comparison point

Competitor analysis

Focused on Jungle Scout as a key comparison point

Competitor analysis

Focused on Jungle Scout as a key comparison point

78 user survey responses

Centered on Amazon US users

78 user survey responses

Centered on Amazon US users

78 user survey responses

Centered on Amazon US users

6 user interviews

Conducted with participants who expressed interest in discussing the Chrome Extension as part of their feedback on the broader feature suite

6 user interviews

Conducted with participants who expressed interest in discussing the Chrome Extension as part of their feedback on the broader feature suite

6 user interviews

Conducted with participants who expressed interest in discussing the Chrome Extension as part of their feedback on the broader feature suite

14 support tickets

From the past 6 months

14 support tickets

From the past 6 months

14 support tickets

From the past 6 months

Competitor Analysis

I explored the Jungle Scout Chrome Extension and collected screenshots to better understand its features. Jungle Scout emphasizes opportunity scores, sales, revenue, and price data - key areas we also prioritized - but also focuses on keywords, advanced search functionality, and exporting, which were beyond the scope of our project.

Despite Jungle Scout’s popularity, with over 400K users, we identified areas for improvement. Based on internal discussions and user interviews (detailed next), we aimed to deliver a better user experience, including faster loading times, embedding data directly on the page instead of in pop-ups, and presenting more comprehensive information tailored to user needs from prior findings.

83%

83%

Of users stopped using the Chrome Extension because it was too slow

77%

77%

Indicated that their primary goal on the search page is quick evaluation

58%

58%

Use the tool on product pages for market research,
21% use it for product data enhancement

SURVEY SUMMARY

To better understand the limitations of our previous Chrome Extension and identify opportunities for improvement, we conducted a survey targeting Amazon US sellers. We gathered 78 responses, focusing on user experience, usage patterns, and feature priorities.

The goal was to ensure the redesigned extension would better align with our users' workflows and deliver faster, more relevant insights.

Key takeaways

Performance is critical

Speed is a deal-breaker. Users abandoned the tool because slow load times interrupted their workflow.

Performance is critical

Speed is a deal-breaker. Users abandoned the tool because slow load times interrupted their workflow.

Performance is critical

Speed is a deal-breaker. Users abandoned the tool because slow load times interrupted their workflow.

Tailoring data to fit the user journey

Users need different information depending on the context. In search results, they want a simple “yes or no” recommendation. On product pages, they expect more detailed performance data - but not everything at once. Balancing summary vs. deep insights is key.

Tailoring data to fit the user journey

Users need different information depending on the context. In search results, they want a simple “yes or no” recommendation. On product pages, they expect more detailed performance data - but not everything at once. Balancing summary vs. deep insights is key.

Tailoring data to fit the user journey

Users need different information depending on the context. In search results, they want a simple “yes or no” recommendation. On product pages, they expect more detailed performance data - but not everything at once. Balancing summary vs. deep insights is key.

When I’m scrolling through products, I just need a quick yes or no. If it takes more than a few seconds to load, I move on.

When I’m scrolling through products, I just need a quick yes or no. If it takes more than a few seconds to load, I move on.

When I’m scrolling through products, I just need a quick yes or no. If it takes more than a few seconds to load, I move on.

I’m scanning through dozens of products, I don’t have time to wait for data to load every time.

I’m scanning through dozens of products, I don’t have time to wait for data to load every time.

I’m scanning through dozens of products, I don’t have time to wait for data to load every time.

I want to know if it’s recommended, but I also need to understand why - like, is it because it’s selling well, or because of the profit margins?

I want to know if it’s recommended, but I also need to understand why - like, is it because it’s selling well, or because of the profit margins?

I want to know if it’s recommended, but I also need to understand why - like, is it because it’s selling well, or because of the profit margins?

Sometimes I need the size and weight, especially if I’m thinking about shipping costs or packaging.

Sometimes I need the size and weight, especially if I’m thinking about shipping costs or packaging.

Sometimes I need the size and weight, especially if I’m thinking about shipping costs or packaging.

I’m not looking for every little detail in the search view - just tell me if it’s good. I’ll dig into the rest later.

I’m not looking for every little detail in the search view - just tell me if it’s good. I’ll dig into the rest later.

I’m not looking for every little detail in the search view - just tell me if it’s good. I’ll dig into the rest later.

If a product looks good, I’ll jump over to Algopix to check Walmart and eBay. I want to see the full market before I decide.

If a product looks good, I’ll jump over to Algopix to check Walmart and eBay. I want to see the full market before I decide.

If a product looks good, I’ll jump over to Algopix to check Walmart and eBay. I want to see the full market before I decide.

Even after I decide to list a product, I want to keep an eye on its sales and price changes. markets shift fast.

Even after I decide to list a product, I want to keep an eye on its sales and price changes. markets shift fast.

Even after I decide to list a product, I want to keep an eye on its sales and price changes. markets shift fast.

I used to manually search the same products every few days. If I could just track them and get alerts, that would save me a lot of time.

I used to manually search the same products every few days. If I could just track them and get alerts, that would save me a lot of time.

I used to manually search the same products every few days. If I could just track them and get alerts, that would save me a lot of time.

User interviews

Our conversations with users revealed the different needs they have throughout their product research journey. They walked us through their typical process, from scanning many products quickly to conducting in-depth evaluations when a product looks promising:

We conducted 6 in-depth interviews with Amazon US sellers who expressed interest in the Chrome Extension.

We aimed to understand their product research process, what data drives their decisions, and how the extension could better support their workflow.

We conducted 6 in-depth interviews with Amazon US sellers who expressed interest in the Chrome Extension.

We aimed to understand their product research process, what data drives their decisions, and how the extension could better support their workflow.

Initial evaluation – quick scan in search results

Users explained that when browsing Amazon search results, they are often filtering through dozens of products. They want a clear, fast recommendation (e.g., “recommended” or “not recommended”) to decide if a product is worth their attention. Several users mentioned feeling frustrated with the old extension’s slow load times, which disrupted this flow. However, users also expressed that they need to understand what the recommendation is based on - like sales, competition, or profit - so they can trust it.

Initial evaluation – quick scan in search results

Users explained that when browsing Amazon search results, they are often filtering through dozens of products. They want a clear, fast recommendation (e.g., “recommended” or “not recommended”) to decide if a product is worth their attention. Several users mentioned feeling frustrated with the old extension’s slow load times, which disrupted this flow. However, users also expressed that they need to understand what the recommendation is based on - like sales, competition, or profit - so they can trust it.

Initial evaluation – quick scan in search results

Users explained that when browsing Amazon search results, they are often filtering through dozens of products. They want a clear, fast recommendation (e.g., “recommended” or “not recommended”) to decide if a product is worth their attention. Several users mentioned feeling frustrated with the old extension’s slow load times, which disrupted this flow. However, users also expressed that they need to understand what the recommendation is based on - like sales, competition, or profit - so they can trust it.

Product-level validation - detailed check on product pages

Once users identify an interesting product, they move to its product page for a deeper dive. They told us they expect more detailed performance data there - sales history, pricing trends, profit margins, and competition.

Product-level validation - detailed check on product pages

Once users identify an interesting product, they move to its product page for a deeper dive. They told us they expect more detailed performance data there - sales history, pricing trends, profit margins, and competition.

Product-level validation - detailed check on product pages

Once users identify an interesting product, they move to its product page for a deeper dive. They told us they expect more detailed performance data there - sales history, pricing trends, profit margins, and competition.

Product information

A few users also pointed out that they sometimes check shipping dimensions and identifiers, especially when assessing logistics costs or verifying suppliers. While not a top priority, it was still helpful in certain cases, which is why we chose to keep it in the redesign.

Product information

A few users also pointed out that they sometimes check shipping dimensions and identifiers, especially when assessing logistics costs or verifying suppliers. While not a top priority, it was still helpful in certain cases, which is why we chose to keep it in the redesign.

Product information

A few users also pointed out that they sometimes check shipping dimensions and identifiers, especially when assessing logistics costs or verifying suppliers. While not a top priority, it was still helpful in certain cases, which is why we chose to keep it in the redesign.

Cross-checking and expanding research

Users emphasized that when they see potential in a product, they often switch to Algopix’s full platform for deeper research - especially for cross-channel data across Amazon, Walmart, and eBay. They wanted the extension to make this transition seamless when they needed more than just a quick overview.

Cross-checking and expanding research

Users emphasized that when they see potential in a product, they often switch to Algopix’s full platform for deeper research - especially for cross-channel data across Amazon, Walmart, and eBay. They wanted the extension to make this transition seamless when they needed more than just a quick overview.

Cross-checking and expanding research

Users emphasized that when they see potential in a product, they often switch to Algopix’s full platform for deeper research - especially for cross-channel data across Amazon, Walmart, and eBay. They wanted the extension to make this transition seamless when they needed more than just a quick overview.

Tracking for ongoing monitoring

Several users explained that product research is not always a one-time decision. For products with long-term potential, they like to track performance over time—e.g., monitoring price, sales, or competitors. They told us this reduces the need to manually search the same product repeatedly. This feedback directly led to the tracking feature we added in the redesign.

Tracking for ongoing monitoring

Several users explained that product research is not always a one-time decision. For products with long-term potential, they like to track performance over time—e.g., monitoring price, sales, or competitors. They told us this reduces the need to manually search the same product repeatedly. This feedback directly led to the tracking feature we added in the redesign.

Tracking for ongoing monitoring

Several users explained that product research is not always a one-time decision. For products with long-term potential, they like to track performance over time—e.g., monitoring price, sales, or competitors. They told us this reduces the need to manually search the same product repeatedly. This feedback directly led to the tracking feature we added in the redesign.

Insights and implementation

Insights and implementation

Insights and implementation

Key LEarnings

Speed is non-negotiable

Research participants made it clear that performance issues were a dealbreaker. Slow load times in the previous extension caused frustration and led to tool abandonment, even when the data itself was considered valuable.

Speed is non-negotiable

Research participants made it clear that performance issues were a dealbreaker. Slow load times in the previous extension caused frustration and led to tool abandonment, even when the data itself was considered valuable.

Speed is non-negotiable

Research participants made it clear that performance issues were a dealbreaker. Slow load times in the previous extension caused frustration and led to tool abandonment, even when the data itself was considered valuable.

We need to make sure that the data aligns with the user journey

Our research highlighted that users need different data depending on the stage of their research. In search results, they want a quick “yes or no” recommendation. On product pages, they need detailed data like sales, pricing, and competition - but not all at once. This reinforced the need to surface information contextually.

We need to make sure that the data aligns with the user journey

Our research highlighted that users need different data depending on the stage of their research. In search results, they want a quick “yes or no” recommendation. On product pages, they need detailed data like sales, pricing, and competition - but not all at once. This reinforced the need to surface information contextually.

We need to make sure that the data aligns with the user journey

Our research highlighted that users need different data depending on the stage of their research. In search results, they want a quick “yes or no” recommendation. On product pages, they need detailed data like sales, pricing, and competition - but not all at once. This reinforced the need to surface information contextually.

Clear rationale builds trust

Our research showed that users want to understand the reasoning behind “recommended” or “not recommended” labels.

Clear rationale builds trust

Our research showed that users want to understand the reasoning behind “recommended” or “not recommended” labels.

Clear rationale builds trust

Our research showed that users want to understand the reasoning behind “recommended” or “not recommended” labels.

We need to support easy extra research and tracking

Users emphasized the need for simple ways to take action when a product looks promising. They wanted quick access to track performance over time, like price and sales, and an easy link to open the full product analysis for cross-channel research.

We need to support easy extra research and tracking

Users emphasized the need for simple ways to take action when a product looks promising. They wanted quick access to track performance over time, like price and sales, and an easy link to open the full product analysis for cross-channel research.

We need to support easy extra research and tracking

Users emphasized the need for simple ways to take action when a product looks promising. They wanted quick access to track performance over time, like price and sales, and an easy link to open the full product analysis for cross-channel research.

implementation

Product tracking

We introduced a tracking feature that allows users to monitor products and receive email alerts on key performance updates. This helps sellers stay informed about price changes, sales trends, and competition shifts without manually rechecking.

Optimized speed and data hierarchy

To improve performance and user focus, we streamlined data presentation based on the research journey. In search results, users see only a recommended/not recommended label, with key details available on hover for quick evaluation. More in-depth insights are available on product pages or through the full analysis on the Algopix platform. We also added settings to let users control where the extension appears.

actionable features

Beyond viewing data, users can now take action directly from the extension. They can track products for ongoing monitoring, copy key data points, and seamlessly navigate to the full product analysis for deeper research.

Enhanced clarity and usability

The new design prioritizes transparency and explicit information. Users can now easily understand the reasoning behind product recommendations and gain clear explanations of Algopix features, such as product tracking.

Redesign

Redesign

Redesign

Exploring search results efficiently

When users are on the discovery screens, they scan products quickly, looking for a fast go/no-go signal to decide whether a product is worth further exploration. To support this, instant loading of clear, actionable insights is essential.

Through cross-functional discussions with product, design, and engineering, we identified a way to reduce loading time - displaying the bottom-line recommendation ("recommended/not recommended") immediately, while loading additional details only on hover.

This approach significantly improved performance and usability, enhancing the user experience and the adoption of the Amazon Chrome Extension.

Key improvements

Speed

We streamlined data presentation to load pages faster, ensuring smooth navigation.

Speed

We streamlined data presentation to load pages faster, ensuring smooth navigation.

Speed

We streamlined data presentation to load pages faster, ensuring smooth navigation.

Clear bottom-line insights

Clear recommended/not recommended labels upfront for quick decision-making.

Clear bottom-line insights

Clear recommended/not recommended labels upfront for quick decision-making.

Clear bottom-line insights

Clear recommended/not recommended labels upfront for quick decision-making.

Hover for details

Additional insights load only when hovered over, reducing initial load time while keeping extra data easily accessible.

Hover for details

Additional insights load only when hovered over, reducing initial load time while keeping extra data easily accessible.

Hover for details

Additional insights load only when hovered over, reducing initial load time while keeping extra data easily accessible.

Product tracking integration

Users can now track products directly from the Chrome extension for ongoing monitoring

Product tracking integration

Users can now track products directly from the Chrome extension for ongoing monitoring

Product tracking integration

Users can now track products directly from the Chrome extension for ongoing monitoring

Improved visual hierarchy

The layout was refined to enhance readability and help users scan efficiently.

Improved visual hierarchy

The layout was refined to enhance readability and help users scan efficiently.

Improved visual hierarchy

The layout was refined to enhance readability and help users scan efficiently.

BEFORE

(Default)

Slower load times, cluttered data presentation

AFTER

(On hover)

Faster performance, clear insights and actionable

Diving deeper into product insight

When users navigate to a product page, they typically have two goals: market research - evaluating whether the product is a good fit for their catalog, and data enhancement - collecting details needed for product listing.

Based on user interviews, we refined the product page experience to surface the most relevant market research insights sellers rely on. Additionally, we prioritized key product details - such as identifiers and dimensions - for easier and faster access.

We also introduced product tracking on product pages, allowing users to monitor performance over time. To enhance transparency, we added explanations clarifying how the recommendation bottom line is determined.

Key improvements

Data refinement

We prioritized the most relevant insights while removing redundant information for a clearer, more structured view

Data refinement

We prioritized the most relevant insights while removing redundant information for a clearer, more structured view

Data refinement

We prioritized the most relevant insights while removing redundant information for a clearer, more structured view

Actionable options

Users can now take direct action from the product page, including tracking products, copying key data points, and seamlessly navigating to the full analysis

Actionable options

Users can now take direct action from the product page, including tracking products, copying key data points, and seamlessly navigating to the full analysis

Actionable options

Users can now take direct action from the product page, including tracking products, copying key data points, and seamlessly navigating to the full analysis

Enhanced transparency

Explanations were added to clarify how recommendations are determined, helping users trust and act on the insights

Enhanced transparency

Explanations were added to clarify how recommendations are determined, helping users trust and act on the insights

Enhanced transparency

Explanations were added to clarify how recommendations are determined, helping users trust and act on the insights

Improved UI

A cleaner layout and better hierarchy make it easier for users to scan and extract the insights they need efficiently.

Improved UI

A cleaner layout and better hierarchy make it easier for users to scan and extract the insights they need efficiently.

Improved UI

A cleaner layout and better hierarchy make it easier for users to scan and extract the insights they need efficiently.

Impact

Impact

Impact

1.2K

Active users within 3 month (exceeding our goal of 800 users)

1.2K

Active users within 3 month (exceeding our goal of 800 users)

1.2K

Active users within 3 month (exceeding our goal of 800 users)

+11%

Average monthly growth in downloads

+11%

Average monthly growth in downloads

+11%

Average monthly growth in downloads

12%

Of users mentioned the Chrome Extension during user interviews

12%

Of users mentioned the Chrome Extension during user interviews

12%

Of users mentioned the Chrome Extension during user interviews

8.3%

Of Single Product Analysis users access the tool via the Chrome Extension

8.3%

Of Single Product Analysis users access the tool via the Chrome Extension

8.3%

Of Single Product Analysis users access the tool via the Chrome Extension

Next Steps

Key Features to Explore

Tracking Enhancements

Refining the tracking feature to allow users to customize product tracking alerts

Tracking Enhancements

Refining the tracking feature to allow users to customize product tracking alerts

Tracking Enhancements

Refining the tracking feature to allow users to customize product tracking alerts

Expanding to More Locales

Exploring support for additional Amazon marketplaces beyond the US, enabling sellers to conduct market research globally and expand their reach

Expanding to More Locales

Exploring support for additional Amazon marketplaces beyond the US, enabling sellers to conduct market research globally and expand their reach

Expanding to More Locales

Exploring support for additional Amazon marketplaces beyond the US, enabling sellers to conduct market research globally and expand their reach

Integrating with Algopix’s Listing Builder

Evaluating the integration of the Chrome Extension with Algopix’s Listing Builder, currently available for Walmart, to help sellers streamline their listing creation and optimization process across marketplaces

Integrating with Algopix’s Listing Builder

Evaluating the integration of the Chrome Extension with Algopix’s Listing Builder, currently available for Walmart, to help sellers streamline their listing creation and optimization process across marketplaces

Integrating with Algopix’s Listing Builder

Evaluating the integration of the Chrome Extension with Algopix’s Listing Builder, currently available for Walmart, to help sellers streamline their listing creation and optimization process across marketplaces

Work Processes

Measure adoption and retention

Monitor Chrome Extension usage trends over time, focusing on repeat usage and whether it drives retention within the broader Algopix platform

Measure adoption and retention

Monitor Chrome Extension usage trends over time, focusing on repeat usage and whether it drives retention within the broader Algopix platform

Measure adoption and retention

Monitor Chrome Extension usage trends over time, focusing on repeat usage and whether it drives retention within the broader Algopix platform

Gather deeper feedback

Conduct follow-up interviews with active extension users to learn how Phase 1 aligns with their research flow and where they still experience friction

Gather deeper feedback

Conduct follow-up interviews with active extension users to learn how Phase 1 aligns with their research flow and where they still experience friction

Gather deeper feedback

Conduct follow-up interviews with active extension users to learn how Phase 1 aligns with their research flow and where they still experience friction

Monitor performance and stability

Closely monitor technical performance to ensure the extension remains fast and reliable, minimizing load times and addressing any issues quickly

Monitor performance and stability

Closely monitor technical performance to ensure the extension remains fast and reliable, minimizing load times and addressing any issues quickly

Monitor performance and stability

Closely monitor technical performance to ensure the extension remains fast and reliable, minimizing load times and addressing any issues quickly

Thank you

Thank you

For taking the time to read my full case study, I really appreciate it

For taking the time to read my full case study, I really appreciate it

PHONE

(+972) 50-406-1151

E-MAIL

XNURITGALX@GMAIL.COM

Accessibility Statement

PHONE

(+972) 50-406-1151

E-MAIL

XNURITGALX@GMAIL.COM

Accessibility Statement

PHONE

(+972) 50-406-1151

E-MAIL

XNURITGALX@GMAIL.COM

Accessibility Statement