How to Tell If a Game’s Growth Is Real
A rising graph might be an audience or might be a loan. Check what happens when the source goes away.
Growth that survives the removal of its cause is real. Growth that disappears when the ad budget, the creator video or the update fades was borrowed. The two look identical while they last, so the work is in telling them apart before you plan around them.
Start with the source
- Organic vs paid
- Split traffic by source. A rise that follows spend and falls when spend stops is bought attention.
- Creator or influencer traffic
- Often a sharp burst with a quick fall. Check whether those players returned after the first visit.
- Update-driven spikes
- New content can pull lapsed players back. Does the count hold afterwards or fall to the old level?
- Platform exposure
- Features and placements can raise numbers for a time. Do not assume they continue.
Look at what comes after the spike
| Check | Real growth tends to show | Borrowed growth tends to show |
|---|---|---|
| Retention of the new cohort | Comparable to earlier cohorts | Much lower |
| Returning players | Rising | Flat, with only first-timers growing |
| Count after the source ends | Settles above the old baseline | Falls to or below the old baseline |
| Session quality | Players do what the game intends | Short visits, few completions |
| Revenue | Grows with players | Lags, or only the spike earns |
Method
- Mark the dates of every campaign, creator mention, update and event.
- Compare the weeks before and after each. Measure the new level a few weeks later, not a few days.
- Track cohorts by source. Which source produces players who come back?
- Look at returning players as a separate line from new ones.
- Check whether the baseline between spikes is rising, flat or falling.
Sustained CCU
Sustained means it stays up without repeated support. A baseline that steps up after each effort and holds is a good sign. A baseline that returns to the same level after every effort means each push is replacing, not adding.
Common mistakes
- Reading a spike’s peak as the new normal.
- Treating all traffic as one group.
- Judging an update a success from the first day.
- Ignoring returning players because new ones are easier to count.
- Assuming a creator’s audience will play for long.
What to do with the answer
If growth is real, find out why and protect it. If it is borrowed, treat the spike as a chance to learn from a large sample: where did the new players drop, and what would have kept them? Then build that, instead of repeating the burst.