RideAlike & Optiblack: Analytics Transformation Case Study

Challenges

• Fragmented Analytics Implementation: RideAlike struggled to implement robust analytics despite integrating Mixpanel SDKs. Only a fraction of planned events were tracked, and key business metrics remained invisible.
• Prolonged Delays and Communication Gaps: Development bottlenecks, unclear responsibilities between internal and external teams, and slow responses led to a project timeline stretching from a planned few weeks to over a year.
• Incomplete Data and Inconsistent Tracking: Many critical events and properties were either missing or inconsistently tracked across web, mobile, and backend platforms, undermining data-driven decision-making.
• Limited Dashboard and Reporting Capabilities: Without comprehensive dashboards and reporting, RideAlike couldn’t monitor user journeys, identify drop-off points, or optimize product features effectively.
• Revenue Attribution and User Segmentation Issues: Lack of integration with payment systems (like Stripe) and missing user property tracking limited the ability to analyze revenue and segment users for targeted engagement.

Solution

• End-to-End Analytics Overhaul: Optiblack led a systematic review and re-implementation of RideAlike’s Mixpanel tracking plan, ensuring 60+ events were captured across all platforms and touchpoints.
• Collaborative Knowledge Transfer: Through a series of focused workshops and support sessions, Optiblack empowered RideAlike’s internal and external dev teams, clarifying event triggers, properties, and best practices for both frontend and backend integration.
• Data Enrichment and Integration: Optiblack facilitated the import of historical user and car data, set up Stripe integration for real-time revenue tracking, and established lookup tables to enrich event data for deeper insights.
• Custom Dashboards and Reporting: The team delivered tailored Mixpanel dashboards, allowing RideAlike to monitor onboarding funnels, trip activity, revenue, and user engagement metrics in real time.
• Ongoing Support and Scalability: Optiblack provided continuous support, documentation, and training, enabling RideAlike to independently add new events, refine analytics, and adapt to evolving business needs.

Impact

• Accelerated Data-Driven Decisions: RideAlike gained a holistic view of user behavior, enabling rapid identification of bottlenecks and opportunities across the customer journey.
• Improved Conversion and Engagement: With clear funnel analytics and cohort segmentation, RideAlike optimized onboarding flows, improved product features, and targeted communications for higher user engagement.
• Operational Efficiency: Streamlined event implementation and robust dashboards reduced manual reporting effort, freeing up resources for strategic initiatives.
• Revenue Visibility: Real-time revenue tracking and attribution empowered the team to understand the financial impact of product and marketing decisions.
• Foundation for Growth: The analytics infrastructure delivered by Optiblack positioned RideAlike to scale confidently, measure success, and iterate quickly based on actionable insights.

Conclusion

Optiblack’s expertise transformed RideAlike’s analytics from a fragmented, delayed project into a scalable, business-critical capability—fueling smarter decisions, higher engagement, and sustainable growth.