Repeatability
Medium
The analytical structure is repeatable — pull data, calculate ROI, rank channels — but the interpretation of what counts as 'profitable' or 'high LTV' shifts with business context and goals each time. A monthly cadence would be more automatable than a one-off strategic review.
Ambiguity Tolerance
Medium
ROI ranking has crisp math, but 'lifetime-value customers' is underspecified — LTV isn't in Google Analytics by default and requires assumptions or external data. The agent needs to either request clarification or make explicit assumptions, both of which introduce risk.
Data & Tool Availability
Medium
Google Analytics exports for traffic, conversion, bounce, and CAC are accessible if the user provides them, but LTV data typically lives in a CRM or order management system not mentioned here. Without that, the agent must approximate or flag the gap.
Error Cost
High
A flawed recommendation could redirect $3,000/month into underperforming channels, causing real and ongoing financial damage. The output is advisory, not automatically executed, which limits blast radius — but bad analysis acted on is still costly.
Human Judgment Required
Medium
The math and ranking are well within AI capability, but a human should validate assumptions about LTV proxies, seasonal anomalies in the Jan–Jun window, and strategic priorities (e.g., brand vs. performance) that pure ROI math won't capture.