E-commerce
Beauty Competitive Data Tracking
Access real-time insights on pricing, promotions, and reviews — automated competitive data to elevate your beauty brand.
SOURCES
What beauty sources do we read?
Our beauty competitive data tracking solution monitors key insights from 12 major online beauty and cosmetics retailers, including Amazon, Sephora, Ulta, Beauty Bay, and Dermstore. We focus on critical metrics such as pricing, promotions, and customer reviews to provide a comprehensive view of the competitive landscape. This allows beauty brands to stay informed about market changes and customer sentiment in real-time.
100x faster
than manual data collection
DATASET
What beauty data does it find?
The structured dataset includes essential columns such as Product, Price, Original Price, Stock Status, Rating, and Reviews. By analyzing these data points, brands can gain insights into their competitive positioning and adjust their strategies accordingly. The Last Updated column ensures that the data remains current and relevant for decision-making.
90%
faster than manual audits.
ANALYTICS
Understanding the beauty dataset
Our dashboard features 12 interactive widgets designed to provide actionable insights into the beauty market. Key visualizations include the Total Products Tracked metric, a pie chart for Market Share by Retailer, and a line graph showing Average Price Trends Across Retailers. Additionally, the Top 10 Best-Selling Products bar chart and the Promotion Distribution by Retailer donut chart help brands identify opportunities for growth and optimization.
20+
ANALYTICS AND REPORTING TOOLS INCLUDED
NOTIFICATIONS
When do we get beauty alerts?
With our solution, you can set up real-time alerts to stay updated on significant changes in product pricing and promotions. Currently, we offer one enabled alert rule that notifies you when critical thresholds are met, ensuring you never miss an important market shift. This feature helps beauty brands react promptly to competitive actions.
95%
REDUCED MANUAL CHECKS
INTEGRATIONS
Where does beauty data go?
Our beauty competitive data tracking integrates seamlessly with various platforms, including API, Snowflake, and Webhooks. This allows for easy data transfer and analysis, enabling brands to incorporate insights into their existing workflows. With these integrations, you can enhance your data strategy and make informed decisions quickly.
100+
SERVICES TO CONNECT
INITIAL DEPLOYMENT
Limited-scope pilot
You can get started with free test data instantly!
Exact pilot scope and pricing depends on the geographic ranges and data breadth.
Most teams land around €3,000/month for these scoped deployments.
"Jsonify has saved us thousands of hours of manual data collection. The core AI data platform is powerful and versatile, automating nearly every process we need."
Cole Gottdank
Co-Founder, Helicone, YC W23
FAQ
Is Jsonify just a web scraping tool?
No. Jsonify is a market intelligence platform that collects publicly available web data and then processes, normalizes, and analyzes it to produce structured insights. While Jsonify uses automated agents to access public webpages and documents, the core value of the platform lies in what happens after collection: extracting structured product and price data, matching it to real SKUs, tracking changes over time, and delivering analytics through dashboards, exports, and APIs. Jsonify does not simply retrieve raw webpages. It transforms publicly accessible information into actionable intelligence for business use, under customer-defined instructions and compliance controls.
What kind of data can Jsonify collect?
Jsonify collects publicly available product and market data from the web, such as product listings, prices, availability signals, menus, catalogs, and related commercial information. This includes data from retailers, ecommerce sites, marketplaces, venues, and other public sources relevant to market visibility and competitive analysis.
How does Jsonify turn raw web data into something usable?
After collecting data, Jsonify extracts structured information, normalizes inconsistent naming, and matches it to real products or SKUs. The platform then aggregates and analyzes this data over time, making it usable through dashboards, charts, exports, or APIs — rather than leaving you with raw pages or unstructured text.
What makes Jsonify different from basic scraping or monitoring tools?
Most tools either collect raw data or monitor individual pages. Jsonify goes further by operating at scale across many sources, handling messy real-world data, matching it to product catalogs, and delivering analytics that answer business questions like coverage, pricing, and competitive presence — not just “what changed on a page.”
What kinds of use cases does Jsonify support?
Jsonify is used for market visibility and competitive intelligence use cases such as tracking product presence, pricing, and availability across markets; monitoring launches and distribution gaps; benchmarking competitors; and understanding how products are represented across channels and geographies.
How do teams actually use the outputs?
Teams use Jsonify through interactive dashboards in Jsonify Studio, scheduled exports (CSV or Excel), or APIs that feed internal BI tools and workflows. This allows insights to be shared across trade marketing, sales, category management, ecommerce, and analytics teams.
How quickly can Jsonify be set up?
Jsonify does not rely on rigid templates or manual page configuration. Once target sources and products are defined, data collection and analysis can begin quickly, with initial results often available in days rather than months. Coverage and update frequency can then be expanded over time.
USECASES
