Build mobile game acquisition around player value

## Overview

1. 01Creative volume needs outcome context

   Mobile game teams often test many concepts across markets and networks. Audiencelab helps connect creative identifiers with the outcomes used in scale and iteration decisions.

2. 02Choose events that reflect game economics

   Early events must be frequent enough to optimize while remaining meaningfully related to payer value, retention, or progression. Each event needs monitoring and periodic review.

3. 03Compare cohorts, not screenshots

   Record geography, platform, campaign setup, creative mix, spend, event definition, and cohort maturity before drawing a conclusion.

## Process

1. Define the player outcome and maturity window
2. Connect campaign and creative identifiers
3. Validate progression, retention, or value events
4. Run a controlled campaign comparison
5. Turn findings into creative and signal changes

## Requirements

What needs to be true for this approach to apply.

• Consistent creative naming and campaign taxonomy
• Approved game event and revenue data
• Sufficient volume for the chosen optimization event
• A shared growth, analytics, and engineering owner

## Limitations

What this page does not prove or guarantee.

• Game genre, monetization, geography, and live operations change results.
• Early proxy events can drift away from long-term value.
• A case study from one title should not be generalized to another without testing.

## Questions

Can free-to-play games use value signals?

Potentially. Signals can represent approved revenue, engagement, progression, retention, or governed predictions, subject to network and implementation requirements.

Does this work with an existing MMP?

Yes, Audiencelab can be implemented as a complementary performance layer.

What is the best first test?

Choose one market, one outcome, a clear baseline, controlled creative allocation, and a cohort window long enough for the game's economics.