{"blocks": [{"key": "34e9fe8c", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "0b875078", "text": "Super Bowl TV ad featuring a QR code; company wants to project funnel performance from view to sign-up.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "b9ba777b", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "5e1e336a", "text": "Estimate what percentage of viewers will scan the on-screen QR code during the Super Bowl broadcast. Describe how you would leverage historical data to build that estimate. If conversion-rate data from past QR campaigns is owned by the ad agency and only TV-company data are available, how would you still approximate the scan rate? After a user scans the code, how would you estimate the conversion rate from landing-page visit to sign-up?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "f9928e9e", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1a39aaa1", "text": "Lay out a funnel, justify priors with comparable events, adjust for audience size and engagement, and state key assumptions.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}