campaign-analytics

Marketing campaign ROI calculation analyzes cross-channel performance metrics including ROAS, CPA, and profitability. It processes your campaign data locally using Python CLI tools to measure marketing efforts without external API calls.

Multi-touch attribution analyzes the customer journey to understand which marketing channels contribute most to conversions. It evaluates touchpoints across your campaigns to determine channel effectiveness and allocate conversion credit accurately.

Funnel conversion analysis identifies drop-off points in the customer journey by evaluating conversion rates across your marketing campaigns. It pinpoints where potential customers are lost, enabling data-driven optimization for better ROI.

Ad performance and attribution analysis runs deterministically using Python CLI tools without requiring external dependencies or API calls. It evaluates attribution models and campaign metrics locally from your provided marketing data.

Multi-touch attribution is needed when evaluating complex marketing campaigns across multiple channels to understand true conversion drivers. It calculates cross-channel ROI and identifies which touchpoints contribute most to your campaign performance.

Marketing campaign ROI calculation requires funnel analysis to identify drop-off points where potential customers are lost in the conversion journey. Combining ROI metrics with funnel conversion data enables comprehensive data-driven optimization of marketing efforts.