The Steam Growth Field Guide

Contents

Part I

Before launch: Build demand and learn what resonates

Use wishlists, store traffic, campaigns, and careful observation to learn before sales exist.

The pre-launch measurement model Planned
Decide what wishlists and traffic can—and cannot—tell you before release.
Topics: The job before launch, the measurable funnel, wishlists as a proxy for demand, questions the data can answer, questions it cannot answer, further reading.
A map of Steamworks data Planned
Find the reports that matter and understand their timing, access, and blind spots.
Topics: Steamworks reporting surfaces, traffic reports, wishlist reports, UTM Analytics, demo and playtest data, geography and language, exports and access, reporting delays and blind spots, further reading.
Internal discovery on Steam Planned
Read Steam’s own discovery surfaces without turning observations into platform folklore.
Topics: Steam discovery surfaces, impressions and visits, click-through rates, visibility rounds, festivals and events, demos, documented mechanics versus inferred behavior, further reading.
External traffic to Steam Planned
Connect off-platform attention to Steam visits while respecting attribution gaps.
Topics: External referral sources, direct and unattributed traffic, creators and press, social and paid media, redirects and link handling, reconciling platform clicks with Steam visits, further reading.
Steam UTM Analytics Published
Separate traffic volume, human visits, identifiable Steam users, and attributed outcomes.
Topics: UTM parameter roles, campaign taxonomy, total visits, trusted visits, tracked visits, tracked conversions, audience quality, campaign comparison, attribution limits, causality versus attribution, further reading.
Measuring wishlists and store-page response Planned
Choose meaningful denominators and comparison groups for store-page response.
Topics: Wishlist additions and deletions, follows, store-page visits, visit-to-wishlist conversion, denominators and comparison groups, geography and language, interpreting page changes, benchmarks and their limits, further reading.
Measuring activity that cannot be directly tracked Planned
Use timelines, baselines, and explicit uncertainty when direct attribution fails.
Topics: Why direct tracking fails, campaign and event timelines, baseline estimation, creator and organic impact, lagged response, alternative explanations, uncertainty and strength of claims, further reading.
Release and monitor Planned
Think like a scientist under observational constraints when changing a store page or campaign.
Topics: Forming a hypothesis, selecting metrics and guardrails, establishing a baseline, recording the intervention, choosing a measurement window, monitoring immediate and delayed effects, handling confounders, keep/revert/iterate decisions, further reading.
The pre-launch operating system Planned
Turn one-off analysis into a reliable weekly practice.
Topics: Campaign registry, UTM governance, marketing event log, recurring exports, annotations, weekly review, alerts and decision records, manual workflow, how Coal helps, further reading.

Launch

Part II

After launch: Turn demand into sales and manage the remaining audience

Once sales exist, separate backlog conversion from new demand and follow the commercial life of the game.

What changes at launch Planned
Reframe the measurement system around sales while preserving the history of accumulated demand.
Topics: Sales as the primary outcome, the changing meaning of a wishlist, newly available reports, the post-launch funnel, accumulated versus new demand, further reading.
Reading the launch Planned
Build a complete launch read from revenue, traffic, conversion, refunds, reviews, and market mix.
Topics: Units and gross revenue, launch traffic and visibility, wishlist conversion, non-wishlist buyers, refunds, reviews, geography and package mix, immediate versus delayed response, further reading.
The outstanding wishlist balance Overview
Treat outstanding wishlists as a changing stock, not a single forecast of future sales.
Topics: Wishlists as a stock, opening and closing balance, additions, purchases and conversions, deletions and other removals, reconciliation, depletion versus replenishment, interpreting a stable or growing balance, further reading.
Wishlist cohorts and depletion curves Planned
Follow acquisition cohorts through launch and delayed conversion.
Topics: Acquisition cohorts, launch conversion, delayed conversion, cohort age, depletion curves, acquisition moments, dormant versus responsive demand, limits of available data, further reading.
From gross sales to useful revenue Planned
Reconcile units and gross revenue into the commercial view a studio can use.
Topics: Units versus revenue, regional and package mix, pricing and discounts, refunds, taxes and platform share, gross-to-net reconciliation, currency and reporting periods, further reading.
Turning the remaining audience into customers Planned
Measure how commercial beats reactivate different parts of the wishlist backlog.
Topics: Wishlist notifications, discounts, updates and announcements, festivals and events, review milestones, cohort reactivation, incrementality, measuring commercial beats, further reading.
Post-launch acquisition Planned
Separate new demand from backlog conversion and evaluate acquisition economics.
Topics: New demand versus backlog conversion, campaign sales and wishlists, UTM purchase data, paid-acquisition economics, creator and organic acquisition, replenishment rate, further reading.
Reviews and player response as commercial signals Planned
Use reviews as evidence without overclaiming their effect on visibility or sales.
Topics: Review volume and score, player feedback, store-page persuasion, visibility claims, review timing, regional and language effects, correlation versus causation, further reading.
Early Access and the transition to 1.0 Planned
Handle several launch-like moments without mixing incompatible cohorts.
Topics: Early Access as a launch, changing player expectations, multiple launch-like moments, wishlist and sales cohorts, major updates, the 1.0 transition, cohort contamination, further reading.
The commercial tail Planned
Operate the long run through replenishment, reactivation, forecasting, and review cadence.
Topics: Long-run sales and wishlist flows, depletion and replenishment, discount cadence, updates and reactivation, forecasting, lifetime performance, operating rhythm, further reading.