{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a97551f6f36142e1b059d3fd429ac4bb\" frameborder=\"0\" width=\"1650\" height=\"1237\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1237,"width":1650,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1237,"thumbnail_width":1650,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/a97551f6f36142e1b059d3fd429ac4bb-5a263f499f7ef0ca.gif","duration":270.709,"title":"Utilizing Mobility Data from Multiple Data Providers with the Visit Trend's Advanced Mode","description":"Analyzing Mobility Data for Location Visits\n\nObjective: To effectively analyze mobility data for location visits using top mobility data providers and composite scores to make informed decisions.\n\nKey Steps\n 1. Click on a specific Point of Interest (P.O.I.) with mobility data, such as a Trader Joe's.\n 2. Click on \"location visits\" to access detailed information.\n 3. Utilize the alpha composite score as the default option for a summary of all data providers.\n 4. To view data from individual providers, click on the toggle for advanced.\n 5. Explore data from providers like Unicast, Advan, and pass_by, understanding that some discrepancies may occur due to different methodologies.\n 6. Toggle off the AlphaComposite to view data from specific providers if needed.\n 7. Adjust time periods for analyzing visit trends data.\n 8. Compare multiple locations using data from individual providers.\n 9. Toggle off advanced features to simplify data analysis and focus on AlphaComposite scores for comparison.\n10. Export information as a USB or image for further analysis.\n11. Compare up to eight locations for comprehensive insights.\n\nNotes\n- Expect outliers and discrepancies in data from different providers.\n- Ensure data is accurately exported for reliable analysis.\n- Be aware of the limitations of each data provider's methodologies.\n\nTips for Efficiency\n- Use the AlphaComposite score as a quick summary for decision-making.\n- Customize data analysis by toggling off unnecessary options.\n- Utilize the export feature for sharing and further examination.\n- Compare multiple locations to identify trends and patterns effectively."}