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Logrocket

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"Identifies app issues through session replays."

Case Study
Frequently Asked Questions
This platform helps analyze user interactions within apps by playing back sessions, tracking errors, and analyzing performance. Using AI, it pinpoints where customers face challenges, enabling faster issue resolution and improved user experience. It combines visual session replays with analytical insights to understand user behavior, detect issues, and optimize product performance across web and mobile platforms.
Logrocket Stated Claims
These are public claims Blurbs AI believes to have been made by Logrocket.
Proactively identifies key issues
LogRocket claims that Galileo AI surfaces the most impactful and actionable insights in natural language to prioritize resolving user issues.
Comprehensive session replay features
LogRocket claims that its session replay for developers includes pixel-perfect replays, console logs, and performance data for complete visibility.
Seamless integration capabilities
LogRocket claims that it integrates well into existing analytics, issue resolution, and support flows to provide a unified user experience management platform.
SESSION REPLAY
SESSION ANALYTICS
FRICTION IDENTIFICATION
TECHNICAL ISSUES
CRO
USER EXPERIENCE
PRODUCT ANALYTICS
ERROR TRACKING
USER EXPERIENCE ANALYTICS
FRONTEND PERFORMANCE MONITORING
AI ISSUE DETECTION
MOBILE APP ANALYTICS
DATA REDACTION COMPLIANCE
INTEGRATION SUPPORT
USER STRUGGLE DETECTION
BlurbSTAR Case Study
Cox Automotive & LogRocket
LogRocket optimizes Manheim's digital experience with proactive insights.
2%
Feature Removals
45%
Great Stat
1.
Situation
Manheim Seeks Digital Improvement
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Established need for improved digital interaction.
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Facing delayed resolution of user-reported issues.
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Manheim required better data insights for improvement.
Cox Automotive's Manheim division, the largest used vehicle marketplace, needed to enhance its digital user experience for customers participating in remote car auctions via their Simulcast product. Customers required quick access to car data and a seamless user interface, prompting the integration of advanced MarTech solutions. The existing system was struggling to address user-reported issues efficiently and improve product functionality based on actionable user insights.
2.
Task
Boosting User Confidence with LogRocket
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Expedite resolution of user-reported issues.
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Understand and cater to customer needs with data.
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Integrate data-driven decisions into product roadmap.
Manheim's task was to ensure a robust digital experience by rapidly addressing user-reported issues and understanding customer needs more effectively. This involved leveraging LogRocket's capabilities to delve deeper into user interactions and improve product offerings based on actual data rather than assumptions. Their key goals included speeding up the resolution of issues, making data-driven improvements to their roadmap, and proactively minimizing user struggle.
3.
Action
Implementing and Utilizing LogRocket
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Applied LogRocket for session replays and error tracking.
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Embraced AI to highlight high-impact user issues.
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Shifted from reactive to proactive user experience enhanceme...
Manheim integrated LogRocket across its digital platforms to monitor and replay user sessions, track errors, and gather vital performance data. The session replays provided immediate context for issues, significantly reducing resolution time. Galileo AI further empowered Manheim by automatically identifying critical user experience and performance issues, enabling Manheim to focus engineering efforts effectively. This proactive approach enriched their ability to foresee customer needs, streamline operations, and enhance the user experience without frequent manual interventions.
4.
Result
Empowering Manheim with Efficient Solutions
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Reduced issue resolution time from weeks to days.
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Enhanced internal collaboration and decision-making.
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Increased customer satisfaction and product reliability.
With LogRocket, Manheim reduced the resolution time for user issues from weeks to days, leading to a significant uptick in customer trust and return rates. The use of data and AI for product analytics enabled Manheim to refine its offerings by eliminating underutilized features and prioritizing crucial upgrades. This empowered the company to deploy development resources more efficiently, resulting in improved internal collaboration and a shared understanding across teams. Manheim transformed its operational model to better meet evolving customer expectations, fostering a customer-centric culture.
Keywords
LOGROCKET BENEFITS
MANHEIM DIGITAL EXPERIENCE
USER ISSUE RESOLUTION
PRODUCT ANALYTICS
GALILEO AI
PROACTIVE USER INSIGHTS
Logrocket
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