Competitor UX & Sentiment Tracking
Gain real-time insights on customer interactions and feature usage — automated intelligence that outpaces manual analysis.
What competitor UX sources do we read?
Our monitoring system tracks customer interactions and feature usage from leading home improvement retailers such as Leroy Merlin, Brico, Castorama, Boulanger, and Amazon. With a focus on key metrics, we gather data on product prices, stock status, ratings, and reviews, ensuring a comprehensive view of competitor performance in the market. This real-time intelligence allows businesses to stay ahead in understanding customer preferences and behaviors.
What competitor UX data does it find?
The structured dataset includes essential columns such as Source, Product, Price, Original Price, Stock Status, Rating, Reviews, and Last Updated. This rich data allows for detailed analysis of customer interactions and feature adoption rates, providing insights that are crucial for strategic decision-making. By normalizing this data, we ensure consistency and accuracy across all monitored sources.
Alerts and delivery.
Changes land where your team already works — the same morning they appear.
When do we get competitor UX alerts?
We have enabled a single alert rule to notify you of significant changes in customer sentiment or feature adoption rates. This ensures that you are always aware of shifts in the competitive landscape, allowing for timely adjustments to your strategies. Stay informed with real-time alerts that keep you ahead of the competition.
View alert setup →Where does competitor UX data go?
Our solution seamlessly integrates with various platforms, including API, BigQuery, Salesforce, and Webhooks, allowing for easy data transfer and utilization. With 12 integrations available, you can streamline your workflow and enhance data accessibility across your organization. This flexibility ensures that you can leverage insights from competitor analysis effectively.
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.