MONETIZATION UTILITY · SHEET 03

Ad Revenue &
Yield Optimizer.

Diagnose waterfall latency, floor pricing leakage, and SDK fill friction. Model blended global eCPMs and estimate how much ad revenue is left on the table.

Use this when you are deciding whether a mediation migration is worth the engineering time, or preparing a case for moving off a manual waterfall. It is aimed at growth and monetization leads who know their ad format mix and geo split and want a directional estimate of what is being left uncaptured.

FILE · AD_03

Monetization Inputs

01 · Daily Active Users (DAU)
02 · Session Length (Min) m
Geo-Market Distribution (%)
Tier 1 (US, JP, Western EU) %
Tier 2 (LatAm, Eastern EU, GCC) %
Tier 3 (India, SEA, LATAM-low) %
Ad Placements & eCPMs (T1 Base)
Rewarded Imps/DAU
T1 eCPM ($)
Interstitial Imps/DAU
T1 eCPM ($)
Banner Active Secs
T1 eCPM ($)
*Banner impressions calculated dynamically using active seconds over a standard 30s auto-refresh cycles.

Yield Outcomes

Monthly Yield Leakage
$0.00
Lost to latency, floor limits & unfilled bids
Ad ARPDAU (Blended)
$0.000
Blended active user revenue per day
Mediation Efficiency
82%
Mediation request fill-pricing capture rate
WATERFALL YIELD AUDIT & CAPTURED REVENUE ANALYSIS
82% Yield Capture

Captured Revenue (82%)

Ad demand requests successfully filled and paid at current value.

Latency Churn Loss (8%)

Lost to network delays. Users churned out of the session before cascades filled.

Floor Pricing Leak (7%)

Failed bid captures. Unoptimized unified bidding floors underselling demand.

SDK Timeout Churn (3%)

Unfilled inventory due to broken SDK instances or ad-server request timeouts.

REVENUE LIFT OPPORTUNITY ANALYSIS
Current Configuration
$0.00 / mo
Waterfalls with 18% leakage rate
Estimated Net Lift
+$0.00 / mo
Increased monetization capacity (+15% eCPM floor capturing)

The anatomy of ad waterfall leakage.

Ad monetization yields decay because requests are routed through serial cascades. The latency added by each network floor costs revenue.

LATENCY · 50ms → 800ms

Waterfall Latency

When networks load sequentially, users click away before the ad buffers. Every 100ms of SDK routing lag yields a 3–5% drop in impressions.

Leverage: Direct Yield Lift (via in-app bidding)
COMPETITION · FLOORS

Pricing Floor Leakage

Without unified auctions, demand networks undersell your placements. Unoptimized price floors fail to force networks to bid their true valuation.

Leverage: eCPM Optimization (via dynamic floor tuning)
SDK · TIMEOUTS

Integration Failures

Old mediation adapters cause runtime crashes and ad-server timeouts. If an SDK thread hangs, your request goes unfilled, burning DAU.

Leverage: Fill-Rate Stability (adapter calibrations)
GEOGRAPHIC · SLIDES

Geo eCPM Capture

Tier 3 traffic represents massive volume but yields low base CPMs. Failing to partition network requests by country tiers dilutes Tier 1 revenue.

Leverage: Market Segmentation (tailored geolocations)
MEDIATION YIELD AUDIT ENGAGEMENT

Plug your ad revenue leaks today.

App teams migrating to unified in-app bidding with optimized country-tier floors routinely capture a 15% to 35% lift in ad ARPDAU without increasing ad density. We audit your network mediation configurations, clean up SDK integration blocks, and structure waterfalls to capture maximum bid competition.

FAQ

Common questions.

What does this calculator do?

It models your ad mediation waterfall to estimate blended eCPMs and monthly ad revenue, then breaks down how much revenue is lost to latency churn, floor pricing leakage, and unfilled SDK timeouts versus what an optimized, unified in-app bidding setup would capture.

What inputs do I need?

Daily Active Users (DAU), average session length, your geo-market distribution split across Tier 1/2/3 traffic, impression frequency and Tier 1 eCPM for each ad format (rewarded video, interstitial, banner active seconds), and your current mediation configuration (manual waterfall, hybrid, or unified in-app bidding).

How is the yield leakage estimated?

The tool calculates a blended eCPM from your geo-tier mix and ad format inputs, then applies leakage assumptions tied to your selected mediation configuration (waterfall latency, floor pricing leaks, and SDK timeout losses) to split gross demand into captured revenue versus lost revenue, and compares that against an optimized unified-bidding scenario.