Marketing Attribution and ROI Reporter

Marketing Attribution and ROI Reporter replaces the monthly exercise of merging channel spend, pipeline and closed revenue into one spreadsheet — a day or two of work for a growth lead, repeated every month. You supply the per-channel numbers: spend, touchpoints, first-touch counts, pipeline value, closed revenue and customers acquired. The agent applies a multi-touch attribution model to redistribute revenue, then computes CAC, LTV, the LTV to CAC ratio, payback period and ROI per channel, and proposes a budget shift for each — increase, maintain or decrease — with the signals behind it. The attribution model handling is the reason to trust the output. Four models are supported — linear, first-touch, last-touch and u-shaped — and the choice materially changes which channel looks best. A last-touch model flatters your paid search; a first-touch model flatters your content. So the model in effect and its exact assumption are always surfaced in the report's warnings, never silently applied. If you take this to a budget meeting, the assumption is on the page rather than in someone's head. The LTV assumption gets the same treatment: derived at roughly three times first-period revenue per customer unless you override it, and stated in the output either way. Each step is callable alone. `apply_attribution` shows what the model does to your revenue split before any efficiency metric is computed — useful for comparing two models against each other. `compute_channel_metrics` gives the full per-channel table. `recommend_budget` gives the shifts with their reasoning. `rank_findings` sorts the channels worst-first. Every figure is computed deterministically and is exactly reproducible from your input. The language model narrates the recommendation for an executive audience and never invents a number. No connectors and no credentials — the analytics, ads and CRM field names describe the shape of what you paste in, not systems the agent calls. Built for growth leads and marketing executives.