LIFT_PROTOCOL_02 // PROTOCOL_SPEC
Segment-Level Lift Modeling
Measure lift by tier, vertical, ICP-fit band, and stage so you can see where media actually changes outcomes—and where it doesn’t.
Aggregate Lift Hides the Truth
Overall lift can be misleading: high performance in Tier 1 may lift the average, while significant waste in Tier 3 dilutes the true ROI. Segment modeling reveals the specific cohorts where media creates an incremental advantage, allowing for aggressive reallocation toward winners.
CRITICAL FAILURE MODES
- ✕ Inefficient Tier 3 spend dilutes Tier 1 lift signals, making the program look mediocre
- ✕ Vertical-specific outcomes are masked by global averaging, hiding product-market fit signals
- ✕ Budget decisions are made on 'feel' rather than knowing exactly where lift occurs
Segment Lift Logic
SEGMENT INPUTS
Cohort flags (Exposed vs. Control)
Segment attributes (Tier, Vertical, Fit Score)
Baseline conversion & Win-rate by segment
Outcome metrics (Opp Rate, Stage Movement)
→
LIFT OUTPUT
Lift by Segment (%)
Logic: [Outcome% Exposed] − [Outcome% Control] → Lift% Delta (per segment)
PLATFORM ON (BI + CRM Dimensions)
We build segment lift dashboards using native CRM dimensions and cohort flags, applying statistical confidence bands to ensure results are significant.
Output: Tier 1 Lift +14%; Tier 3 Lift +1% → Trigger reallocation to Tier 1
PLATFORM OFF (Lift Table + Decision Rules)
We deliver offline segment lift tables and clear budget reallocation rules tied to performance thresholds.
Rule: If Lift < 3% at 95% confidence → Stop/Reduce Segment Spend
Artifacts You Receive
- ✓Segment Lift Dashboard Specification
- ✓Lift Matrix Table (Tier / Vertical / Fit Band)
- ✓Statistical Confidence & Sample Size Guidelines
- ✓Segment-Based Budget Reallocation Rules
Implementation Steps
WK 1
Define the segmentation schema (Tiers, Verticals, ACV Bands, Fit Score).
WK 2
Compute baseline performance and outcome metrics for each segment.
WK 3
Publish lift outputs and implement automated decision rules for budget shifts.