Repeatability
High
The structure is identical every reporting cycle: ingest CSVs, compute ROI by dimension, rank verticals. This is a textbook repeatable analytics pipeline that benefits directly from automation.
Ambiguity Tolerance
Medium
ROI by channel and campaign type is well-defined once cost data is included, but 'most and least profitable verticals' requires a clear definition of margin or cost-of-service that may not be in the raw ad data. The agent needs that definition upfront or it must make an assumption.
Data & Tool Availability
High
CSV exports from all four platforms are explicitly available, and 18K rows is trivially small for a data agent with pandas or SQL access. No live API access or permissions are needed beyond the files already in hand.
Error Cost
Low
The output is an internal strategic analysis, not a financial transaction or public-facing document. Errors are catchable on review before any decisions are acted on, and the underlying data can be re-run at any time.
Human Judgment Required
Low
Ranking verticals by ROI is arithmetic, not intuition. A human should sanity-check the output and interpret strategic implications, but the computation and ranking itself requires no taste or relationship context.