Real-World Use Cases & Decision Playbooks
SpotLift bridges the gap between raw broadcast logs (Schaltpläne) and business decisions. Rather than presenting abstract mathematical formulas in isolation, these playbooks walk through concrete campaign workflows tailored to specific practitioner personas.
Which Playbook Fits Your Needs?
| Persona | Core Business Problem | Relevant Playbook | Key Deliverable |
|---|---|---|---|
| Performance Media Agency | "Which TV stations delivered a €10 CPIV vs. €85 CPIV, and how should we reallocate next week's schedule?" | Agency Post-Buy Audit | Station & daypart efficiency ranking, multi-tab client Excel deck & HTML audit |
| DTC E-Commerce Growth Team | "Did TV drive profitable customer acquisitions or merely low-intent browsing sessions?" | DTC Multi-Stage Funnel | Bridging session spikes to custom GA4 conversion events & spot-level CPA |
| Amazon-First Brand | "How much Amazon marketplace demand did our TV ads stimulate, and did our Sponsored Brands PPC intercept it?" | Amazon Retail Halo & Clean Room | AMC pre/post clean room conversion funnel & 36h delayed retail lag model |
| Regional / Franchise Brand | "How do we measure local spot TV without diluting the signal across national baseline traffic?" | Regional Spot TV & Geo-Holdouts | State/DMA segmentation with unexposed control state verification |
Featured End-to-End Decision Narrative
Looking for a complete executive walkthrough showing how an analyst turns raw data into a board-ready budget recommendation?
👉 Read the Executive Decision Playbook: Reallocating a €500k TV Flight to see before-and-after station performance metrics, collision diagnostics, and actionable shift recommendations.