Users report that LogRocket excels in "Session Replays," providing detailed insights into user interactions, while Delve AI's "Real-Time Reporting" feature is praised for its accuracy and speed, allowing businesses to make timely decisions.
Reviewers mention that LogRocket's "Error and Bug Tracking" is highly effective, helping teams quickly identify and resolve issues, whereas Delve AI's "Performance Monitoring" is noted for its comprehensive analysis of user engagement metrics.
G2 users highlight that LogRocket's "User Behavior" analytics, including "Click Tracking" and "Mouse Movement," offer a granular view of user interactions, while Delve AI's "Audience Insights" feature is recognized for its ability to segment and analyze user demographics effectively.
Users on G2 say that LogRocket's "Custom Event Tracking" allows for tailored analytics that meet specific business needs, while Delve AI's "Segmentation" capabilities are lauded for their depth and flexibility in targeting different user groups.
Reviewers mention that LogRocket's "Quality of Support" is consistently rated high, with users appreciating the responsiveness and helpfulness of the support team, while Delve AI's "AI/ML Assistance" is noted for enhancing data analysis and providing predictive insights.
Users report that LogRocket's "Ease of Setup" is straightforward, making it accessible for small businesses, while Delve AI's "Mobile Reporting" feature is highlighted for its effectiveness in tracking performance across devices, ensuring that users can monitor their metrics on the go.
What are the best practices when it comes to masking or excluding the data from collection?
1 Comment
CK
Hi Bakul, great question! We would recommend hiding any sensitive user information such as passwords, credit card information, and personal data.
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