A/B Testing Dashboard

Revenue Impact Attribution & Business Case Tracking — Trellis Health Q3 2024

Attributed Net Revenue (Q3 YTD)
$847K
+12% vs. target
Revenue Yield per Experiment
$28.2K
-7% vs. Q2
Shipped Winners
18
60% win rate
Avg Decision Delay Cost
$4.3K/day
5.2 days avg
Backlog Revenue Potential
$1.9M
22 experiments queued
Eng Cost per $1 Rev
$0.18
Improved 9%

Revenue Attribution Waterfall — Q3 YTD

Gross wins → Regressions → Holdout cost → Net attributed revenue

Surface Revenue Density

$/session by test surface

Experiment Distribution by Surface

Q3 experiment allocation

Decision Delay Analysis

High-value experiments delayed past recommended ship date

Experiment Surface Lift Days Delayed Cumulative Cost Status
Pricing Anchor V2 Pricing +8.4% 12 $78K Legal Review
Onboarding Step Removal Onboarding +6.2% 8 $41K Eng Resource
Checkout Trust Signals Checkout +4.8% 6 $29K PM Approval
Nav Restructure Beta Navigation +3.1% 4 $18K QA

Regression Impact Distribution

Revenue loss from shipped losers

Holdout Group Revenue Cost

Weekly opportunity cost of validation holdouts

Shipped Experiment Revenue Contribution — Top 10

Individual experiment P&L impact, Q3 YTD

Revenue Forecast Accuracy

Predicted vs. actual lift (30-day post-ship)

Engineering Cost Efficiency Trend

Cost per $1 attributed revenue, 9 weeks

Key Insights & Recommendations

Pricing experiments deliver 3.2× higher revenue density ($1.84/session) than navigation tests — recommend shifting 15% of Q4 capacity to pricing surface.
Decision delays cost $166K in Q3 YTD — 4 experiments delayed 6+ days. Recommend weekly ship-or-kill review with exec sponsor.
Backlog contains $1.9M revenue potential — if shipped at historical 60% win rate, could add $340K net revenue in Q4. Prioritize top 8 by predicted lift × traffic.