{"blocks": [{"key": "dcc97b52", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1efdb16b", "text": "A TV network airs a QR-code Super Bowl ad and wants to forecast the full acquisition funnel.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "8d2dfdb1", "text": "Question", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "d142f7a4", "text": "a) How would you estimate the percentage of viewers who will scan the QR code? b) What data sources would you use? c) If only prior TV campaign data (no ad-partner conversion data) is accessible, how would you approximate the scan rate? d) How would you estimate the conversion rate from scan to account sign-up?", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "1d81b2f7", "text": "Hints", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}, {"key": "a0305d46", "text": "Think funnel math, historical benchmarks, uplift analysis during airing, and proxy metrics.", "type": "unstyled", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {}}], "entityMap": {}}