Gather customer journey insights from reviews
Track customer journey issues and sentiment from review sources for ecommerce teams
What customer feedback sources do we read?
Radar reads 8+ customer feedback sources, including Trustpilot, Google, Tripadvisor, Yelp, and Reddit. It captures feedback about customer journey friction points, digital interactions, and sentiment trends from reviews and discussion threads.
What customer journey data does it find?
The dataset has 7+ fields: Source, Company, Product, Issue, Sentiment, Rating, and Reviews. Source and Company identify where feedback came from and who it concerns. Product, Issue, Sentiment, Rating, and Reviews describe the customer experience.
Alerts and delivery.
Changes land where your team already works, the same morning they appear.
When do we get customer feedback alerts?
One alert rule watches customer sentiment and friction points. It sends a notification when the rule detects changes in sentiment or in the friction points appearing in customer feedback.
View alert setup →Where does customer interaction data go?
Extracted customer feedback data lands in API, Salesforce, Power BI, and Webhooks. Teams can use the structured output in those destinations for reporting and downstream workflows.
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?
Set up your own monitoring pipeline in minutes. No code required.