Classification labeling for Marketing
Worked with Airbnb’s product engineering team to help build a lead scoring system. I analyzed bookings, traced conversion paths across channels, and labeled data to confirm which actions led to conversions. Type of Data Labeling Label Type: I labeled conversion outcomes—essentially marking whether a booking or interaction resulted in a conversion or not. This was a classic binary classification label (conversion vs no conversion). Data Type: I worked with structured data, including booking records, customer interactions, and channel data. Purpose: The labels I created fed into a machine learning model, similar to a recommendation engine, to predict the likelihood of future conversions or recommend actions. Techniques Involved: Outcome labeling / annotation: I identified whether a specific customer interaction led to a conversion. Path analysis: I mapped sequences of events across channels to determine attribution. Feature verification: I ensured the data was accurate and clean