Rigorous commercial grounding for game outcomes.

Our roguelike has strong wishlist growth but weak demo conversion—which signal should we trust?

Anchored Horizon weighs conflicting signals by relevance, quality, and uncertainty rather than letting the most flattering metric drive the forecast.

A subscription deal guarantees revenue for our co-op game—what upside and long-term audience value do we give up?

Anchored Horizon compares guarantees, downside protection, upside, timing, and uncertainty, showing how each deal reshapes the full range of outcomes.

Cutting multiplayer would protect our action RPG’s launch date—how much commercial upside would we lose?

Anchored Horizon reforecasts how scope changes delivery confidence, audience appeal, and commercial outcomes, connecting production decisions to the revenue assumptions they alter.

First-month units beat plan on a deep discount, but full-price conversion was weak—should the long-term forecast rise?

Anchored Horizon separates temporary volume from underlying demand, price sensitivity, and long-term value, updating the forecast according to why sales changed.

Revenue is now 25% below the approved business case—what changed, and how much did each change matter?

Anchored Horizon attributes forecast movement to evidence, scope, timing, pricing, competition, and assumptions, preserving how much each factor moved the outlook.

How many wishlists would we need six months before launch for a 70% chance of one million units?

Anchored Horizon works backward from the target probability to the evidence threshold required, rather than waiting for the signal before updating the forecast.

A colony sim and action game have the same expected revenue—which is dependable, and which is breakout-or-bust?

Anchored Horizon compares the variance, skew, and tail risk behind similar expected values, making fundamentally different portfolio bets visible.