Repeatability
High
The structure is identical every cycle: ingest spend, impressions, clicks, leads, and closed deals by channel, then compute CAC and conversion rates. This is a repeatable analytical template that runs the same way each quarter.
Ambiguity Tolerance
High
Success criteria are crisp — CAC and conversion rate are deterministic calculations, and 'best performer' can be defined by a clear metric hierarchy. The budget recommendation has some subjectivity, but the optimization objective (maximum ROI) is stated explicitly.
Data & Tool Availability
Medium
The user says they have all the required data, but it must be provided to the agent in a structured format — the agent cannot pull it from ad platforms autonomously without integrations. If the data is handed over cleanly, execution is straightforward.
Error Cost
Medium
A miscalculated CAC or flawed budget recommendation could misdirect $45K in spend, which is a real but recoverable mistake — the CMO reviews before committing funds. The risk is meaningful but not catastrophic given human review in the loop.
Human Judgment Required
Medium
The math is fully automatable, but the final budget recommendation touches strategic context an agent lacks: sales team bandwidth, brand positioning, relationship value of webinars, and pipeline quality beyond closed-deal counts. A human should validate the recommendation before acting.