{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/9aca3b35b7ec42b79b0e4ffff95d6e8b\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/9aca3b35b7ec42b79b0e4ffff95d6e8b-00001.gif","duration":265.56666666666666,"title":"Funnel Analysis and Recommendations for MetroCog 📊","description":"Hello team! In this Loom, I will be presenting the results of our funnel analysis and answering the business questions from last week's meeting. Our analysis focused on the user funnel, which represents the stages a user goes through when using our app. We identified areas for improvement, such as the sign-up and ride request stages, as well as a significant drop-off after the driver accepts a ride. Additionally, we explored the platform distribution, age groups, and potential surge pricing strategies. Based on our findings, we recommend fixing the funnel leak, targeting iOS users and users aged 35-44, and implementing surge pricing during peak hours. Further research is needed to test conversion rate differences among age groups and optimize surge pricing based on specific events. Please refer to the full technical document or reach out to our team for more information. Thank you for watching and feel free to ask any questions!"}