Noogata for Amazon Vendors
With more access to data sources than ever before, CPG and retail enterprises will need to leverage Artificial Intelligence (AI) and Machine Learning (ML) to empower data-driven business decisions in an increasingly competitive market.
“We have extremely ambitious plans to use e-commerce to drive sales growth globally. To achieve this, we needed a partner who can provide real insight at a granular level around e-commerce data in order to help us to identify opportunities and adapt quickly to any changes in market conditions. Noogata’s platform will ensure we optimize the effectiveness of our online marketing and business strategies, facilitating more targeted sales and higher volumes.”
Andrew Hattem, CEO at the Bugatti Group.
Noogata Harmonizes & Enriches Amazon Analytics to Extract Critical Insights
Empower Your Organization to Tackle Critical Business Cases, Drive Sales, and Monitor Competitor Products with AI
Noogata Simplifies Data From Amazon Retail Analytics, Product Landing Pages, and Dynamic Search Result Pages To
- Identify, enrich and monitor competitor products for any ASINs
- Optimize search terms and product descriptions to maximize share of search
- Understand buying intent related to specific products
The Noogata Advantage
Automate Your Data Analysis for Efficient Monitoring and Data-Driven Decision Making
Skip complex and time consuming manual data collection without sacrificing flexibility or granularity. Noogata will surface and consolidate the most important data points, and provide historical context and AI enriched insights automatically.
Noogata Features for Amazon Vendors
Evaluate competitor’s product exposure efficacy
Optimize, enrich, and assess product search terms, descriptions, and search volume
Model data on products & search volume
Cluster buying intent patterns
Identify top performing products by search term
Measure the impact of organic and paid product exposure
Model the Search Volume Size for Each Topic
Identify Winning Products across each Search Term
Model Share and Size of a Your Products Search Exposure vs its Competitive Set
Score the Content for Each Listing: Title, About, Description
Update and Re-Score Content with AI Recommended Keywords
Surface When Title Changes go live or other PDP Updates Happen For Any Listing
Measure Impact of Content Updates on Products Organic Exposure and Share of Search
Case Study
Boosting e-Commerce with Noogata
A leading consumer goods company and digital native brand sought new cutting edge technology to drive product sales, so they began working with Noogata in 2021. The customer wanted to address four core challenges. Download our ebook to see how one company leveraged no-code AI to:
- Size the sales potential for each of their products and track the competitive landscape
- Identify emerging consumer trends and opportunities for future growth
- Craft the right content for each product listing to drive search exposure and click-throughs
- Optimize advertising spend to maximize marketing ROI
