By Vijay Kumar, CEO of Mile, an AI-powered programmatic revenue optimisation platform for publishers, that maximises yield from every impression by refining floors, shaping traffic, and enriching bid requests using publishers’ unique auction data.

A Data-Driven Guide to Optimisation in 2026

Most gaming publishers now operate what appears to be a modern monetisation stack: rewarded video, in-app bidding, mediation layers, multiple demand partners, and increasingly sophisticated dashboards.

And yet, many of these stacks still behave like legacy systems.

Over the past year, we’ve seen studios invest heavily in bidding integrations and new demand sources only to watch fill rates quietly slip, session depth compress, and net revenue flatten. The infrastructure has modernised. The operating model hasn’t. In 2026, the monetisation challenge for gaming publishers isn’t access to demand — it’s running monetisation as a system rather than a collection of features.

The Gaming Programmatic Landscape in 2026

Mobile dominates gaming ad revenue, and rewarded video is table stakes. Major mediation platforms have lowered the barrier to accessing programmatic demand, and bidding has become increasingly common across casual and midcore portfolios. On the surface, this should create leverage for publishers.

In practice, it has created complexity.

More demand sources, more configuration layers, and more pricing knobs introduce more ways for revenue to leak. We regularly see studios with technically “modern” stacks that behave like old waterfalls: static pricing, brittle fill, and demand routed based on historical relationships rather than measured performance. The publishers who outperform aren’t the ones with the most partners. They’re the ones with the most disciplined operating models.

Revenue Optimisation Fundamentals (Beyond eCPM Worship)

eCPM is the most misused metric in gaming monetisation.

Optimising placements for maximum eCPM often produces fragile revenue curves. High prices can suppress fill. An aggressive ad load can damage session depth. Short-term ARPDAU gains frequently come at the expense of long-term LTV.

High-performing teams instead optimise around:

• Revenue per session
• Fill elasticity by placement
• Retention impact of ad exposure
• Cohort-level performance (new vs mature players)

We’ve seen teams push high-eCPM rewarded placements earlier into sessions and celebrate short-term revenue spikes, only to discover weeks later that early churn erased those gains. Healthy monetisation balances price, volume, and experience — and that balance differs materially between hypercasual, casual, and midcore titles.

Dynamic Floor Pricing: Why Static Floors Cost You Money

Static floors don’t work in games because player behaviour isn’t static.

Value fluctuates by geo, device, session depth, ad format, and player maturity. Pricing inventory the same way across those contexts inevitably misprices supply — underselling high-intent moments and overpricing low-intent ones.

Dynamic floors introduce real-time price discovery, adjusting to context. When done responsibly, this consistently outperforms static pricing. When done poorly, it creates volatility.

The failure mode isn’t the concept. It’s governance. We’ve seen teams deploy aggressive dynamic floors that spiked short-term revenue but crushed fill on long-tail geos, quietly shrinking total revenue weeks later. Dynamic pricing needs guardrails, monitoring, and iteration — not blind automation.

Advanced Bidding Configurations: What Actually Works in Production

Unified bidding is directionally correct. Hybrid stacks remain the reality.

Where teams stumble is assuming bidding “just works” once enabled. In several cases, publishers migrated to bidding, saw bid density increase, and still lost revenue because fill collapsed on lower-value traffic. Floors calibrated for waterfall logic were misaligned with bidding dynamics, suppressing volume where price sensitivity was high.

We’ve also seen bidding deployments where underperforming demand gained share simply because bidder-level routing wasn’t measured by placement. These aren’t technical failures. They’re operating model failures. Bidding needs continuous governance: placement-level measurement, bidder-specific tuning, and regular pruning of underperforming demand.

A Counterintuitive Lesson

More demand partners often hurt revenue before they help.

Each additional bidder increases pricing variance and optimisation noise. Without disciplined governance, demand sprawl dilutes pricing power and makes systems harder to tune. The strongest monetisation teams we’ve seen actively remove demand as often as they add it.

A Practical 30-Day Optimisation Framework

Week 1 – Baseline Reality Check

Instrument revenue per session, fill by placement, bidder win rates, and retention impact.

Week 2 – Inventory Quality Audit

Identify placements that generate revenue but compress session depth. Remove or reposition low-value inventory.

Week 3 – Pricing & Demand Experiments

Introduce dynamic floor ranges with guardrails. Rebalance bidder participation.

Week 4 – Retention-Safe Monetisation Tuning

Tune ad frequency by player maturity. Kill placements that monetise churn.

The goal isn’t higher eCPM. It’s higher revenue per retained user.

What High-Performing Gaming Publishers Do Differently

The teams that outperform treat monetisation as a product surface, not ad ops plumbing. They experiment continuously, sunset underperforming demand, embed monetisation decisions into UX discussions, and operate revenue as a system of interdependent levers.

A Clear Call to Action for Gaming Leaders

If you’re a CEO or Head of Monetisation, the right questions this quarter aren’t about which SDKs you run. They’re about how you operate the system:

• Which placements actually drive revenue per session?
• Are pricing decisions dynamic by context, or one-size-fits-all?
• Do you measure retention-adjusted monetisation?
• Are underperforming demand partners actively removed?
• Is monetisation owned jointly by product, data, and revenue?

Modern stacks don’t produce modern outcomes by default. The studios that win in 2026 will be the ones that operate monetisation as a living system — measured, tuned, and governed like any other core product surface.