Once the "prepare" feature executes, the output table usually contains: : A unique identifier for the customer.
: The script applies logic to filter out interactions that occurred outside a defined lookback window (e.g., 30 days) and identifies which touchpoints belong to a single conversion cycle [2, 5]. strongmta.sql
: In many MTA workflows, the "prepare" step separates paths that ended in a conversion from those that didn't, allowing the model to analyze "null" paths for more accurate probability calculations [4]. Typical Structure of the Prepared Data Once the "prepare" feature executes, the output table
: A concatenated string or array of channels (e.g., Social > Search > Email ). Once the "prepare" feature executes