Track competitor campaigns and brand sentiment
Track competitor campaigns, pricing, stock, ratings, and brand sentiment across retail ecommerce sources
What competitor digital campaign sources do we read?
Radar reads 12+ sources, including Amazon, eBay, ASOS, John Lewis, and RetailMeNot. It captures competitor digital campaign data and brand sentiment signals, with product pricing, original prices, promotional offers, stock status, customer ratings, and reviews from retail ecommerce pages.
What competitor digital campaign data does it find?
Each row has id, Source, Product, Price, Original Price, Stock Status, Rating, and Reviews. Source and Product identify the listing, price columns show current and original pricing, and stock, rating, and review fields describe availability and customer response.
Alerts and delivery.
Changes land where your team already works, the same morning they appear.
When do we get competitor digital campaign alerts?
One enabled alert rule watches for changes in competitor campaigns or brand sentiment. When the rule detects a qualifying change, Radar sends an update to the configured channels.
View alert setup →Where does competitor digital campaign data go?
Extracted data lands in Google Sheets, CSV, and API. Google Sheets is usable for shared review, CSV gives a file export, and the API returns the structured dataset for downstream use.
Frequently asked questions
Is Jsonify just a web scraping tool?
How often is the data updated?
What sources are covered for this use case?
Where does the extracted data go?
Can I customize which data fields are extracted?
Ready to monitor this data?
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