Braindom multi-game payers spent a higher median amount on other identified games
Median observed mobile-game spending among 210 Braindom payers who also bought another game, January 2024–August 2026
Median spending per multi-game payer
Source: YipitData U.S. e-receipt panel. USD Apple and Google receipts only. The game-title classifier is intentionally conservative, so other-game spending is a floor.
Chart data
| Series | Median spending per multi-game payer |
|---|---|
| Braindom | 6.99$ |
| Other identified mobile games | 52.92$ |
How many Braindom payers also bought another identified mobile game?
Among 347 Braindom payers, 210, or 60.5%, also had a payment for at least one other identified mobile game from January 2024 through August 2026. Because the game-title classifier excluded ambiguous and unclassified titles, this overlap is a floor rather than a complete count of mobile-game payments.
What share of identified game spending went to Braindom?
For the 210 multi-game payers, Braindom represented a median 14.9% of identified mobile-game spending. Among all 347 Braindom payers, 49.6% spent more on at least one other identified game than on Braindom. That equals 82% of the 210 multi-game payers. The concurrent window does not show whether other-game spending replaced or complemented Braindom.
Did brain and puzzle peers receive most of the other-game spending?
No. Identified brain and puzzle peers reached 95 shared payers but accounted for about $4,100 in observed purchases across the cohort. Identified popular games, including Last War, Roblox, Royal Match, and Candy Crush, accounted for about $69,800. These totals are influenced by a small number of heavy spenders, which is why the headline uses per-payer medians instead.
Assumptions & Methodologies
We analyzed YipitData’s U.S. e-receipt panel from January 2024–August 2026. Braindom payers had at least one Apple or Google receipt whose item text named Braindom. Other mobile-game purchases used a curated title classifier and USD receipts; ambiguous titles and non-game apps were excluded. Wallet share was each multi-game payer’s Braindom spending divided by Braindom plus other identified-game spending, using the median across payers. The classifier is incomplete, emailed receipts can be missing, totals are affected by heavy spenders, and some purchases may be for another household member. Results are static panel associations rather than total spending, usage, switching, or causality.