attribution-analyzer

What problem does it solve?

Provides clear revenue attribution across marketing channels by applying multiple attribution models to lead-to-conversion touchpoint data, resolving ambiguity about which channels drive awareness, engagement, and closed revenue so you can make informed budget decisions.

Core Features & Use Cases

• Multi-model comparison: Runs first-touch, last-touch, linear, time-decay, and U-shaped attribution on the same dataset to show how channel credit shifts by model.
• Channel ROI and recommendations: Aggregates credit by channel, combines optional spend data to compute ROI, ranks channels by consensus score, and produces budget adjustment suggestions.
• Sequence and drop-off analysis: Identifies top conversion paths, average touches to convert, and common drop-off points to inform cadence and creative changes.
• Integrations & inputs: Works with CRM exports, manual CSV/JSON touchpoint logs, and analytics exports to support end-to-end analysis and actionable JSON output.

Quick Start

Run attribution-analyzer on your CRM or CSV touchpoint export to compare five attribution models and receive channel ROI and budget recommendations.