Facebook and Instagram Gaming Interests: US Audience Sizes and Demographic Patterns
This article summarizes a set of gaming-related targeting interests available in Meta Ads and explains how their audience sizes and demographics typically differ. The goal is practical: understand which gaming targetings are broad enough for scale, which are niche, and what gender and age patterns you should expect when you activate them.
Important note: these audiences overlap. You should not add them up as if they were separate groups.
Meta Ads universe (baseline)
In Meta Ads exports, the baseline is often labeled “All Population.” In this article, we refer to it as the Meta Ads universe, meaning all users in the United States that Meta can potentially serve ads to (this is not the US population).
Two baseline patterns matter before you look at gaming:
- The Meta Ads universe here is slightly female-majority (52.5% female).
- Age distribution is “two-peaked”: 25 to 34 and 55+ are both very large buckets, while 45 to 54 is typically the smallest of the five.
Meta Ads universe
| Targeting | Total | Share | Female | % Female | Male | % Male | 18-24 | 25-34 | 35-44 | 45-54 | 55+ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| All Population (Meta Ads universe, US) | 252.2M | 100.0% | 132.3M | 52.5% | 119.9M | 47.5% | 39.4M | 65.4M | 48.6M | 35.2M | 63.6M |
The data was obtained using the Meta Marketing API and may differ from the data displayed in Ads Manager.
Core gaming and participation interests
This cluster is your scale and structure layer. It combines broad gaming behavior (mobile, online) with core participation signals (multiplayer, MMO, esports). The main trade-off is consistent:
- The bigger the audience, the more balanced it tends to be.
- The more core gamer the signal, the more male-skewed it tends to be.
What stands out in these data:
- Mobile game is the largest audience in this dataset (31.7% of the universe) and is also the most gender-balanced here (52.8% female). It also carries a strong 55+ tail, which is why it often works as a baseline for consumer offers that are gaming-adjacent, not strictly core.
- MMO and multiplayer signals are smaller and meaningfully more male. They are typically better for core gamer positioning and competitive creative, but they usually require more ad variation and frequency control.
- Esports is the most core in this block and the most male-skewed. Expect more concentration in 18 to 44 and stronger creative specificity needs.
Practical usage suggestions:
- For maximum volume with stable delivery, start with Mobile game and segment by creative angles.
- For core gamer testing, split out Multiplayer, MMO, and Esports into separate ad sets so the learning is not diluted by broader audiences.
Core gaming and participation
| Targeting | Total | Share | Female | % Female | Male | % Male | 18-24 | 25-34 | 35-44 | 45-54 | 55+ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mobile game (video games) | 80.0M | 31.7% | 42.2M | 52.8% | 37.8M | 47.2% | 9.1M | 21.9M | 17.6M | 12.3M | 19.1M |
| Massively multiplayer online games (video games) | 32.6M | 12.9% | 13.6M | 41.7% | 19.0M | 58.3% | 5.5M | 10.8M | 7.0M | 4.1M | 5.2M |
| Online games (video games) | 29.4M | 11.7% | 13.2M | 44.9% | 16.2M | 55.1% | 2.3M | 8.1M | 6.8M | 4.4M | 7.8M |
| Massively multiplayer online role-playing games (video games) | 18.6M | 7.4% | 6.9M | 37.1% | 11.7M | 62.9% | 2.6M | 5.7M | 4.1M | 2.5M | 3.7M |
| Multiplayer video game (video games) | 10.7M | 4.2% | 3.5M | 33.0% | 7.2M | 67.0% | 1.0M | 3.4M | 2.8M | 1.6M | 1.8M |
| Electronic sports (video games) | 10.0M | 4.0% | 3.0M | 29.5% | 7.0M | 70.5% | 1.2M | 3.7M | 2.3M | 1.2M | 1.7M |
The data was obtained using the Meta Marketing API and may differ from the data displayed in Ads Manager.
Consoles and ecosystems
Ecosystem targetings are often better proxies for platform intent than genre targetings. They can work well when your offer is hardware-related, subscription-related, or directly aligned with console identity.
Key patterns:
- Xbox ecosystem (Xbox One, Xbox Live) is large enough for scaling and is consistently male-skewed (about two-thirds male). Age tends to concentrate in 25 to 44, with 25 to 34 as the peak.
- Nintendo Network is closer to gender balance and shows a strong older tail. This can behave more like mainstream entertainment than hardcore competitive gaming.
- VR ecosystems (Oculus Rift, PlayStation VR) are smaller and strongly male. They often require focused creative and controlled budgets because they can saturate quickly.
Practical usage suggestions:
- If you want core console reach, start with Xbox One, then test Xbox Live separately.
- If you need broader demographic coverage inside gaming, Nintendo Network can be a useful bridge.
- Treat VR as niche targeting and keep it segmented.
Consoles and ecosystems
| Targeting | Total | Share | Female | % Female | Male | % Male | 18-24 | 25-34 | 35-44 | 45-54 | 55+ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Xbox One (game console) | 14.0M | 5.6% | 4.6M | 32.8% | 9.4M | 67.2% | 1.5M | 4.4M | 3.3M | 1.9M | 2.9M |
| Xbox Live (video games) | 7.7M | 3.0% | 2.5M | 33.1% | 5.2M | 66.9% | 0.77M | 2.2M | 1.9M | 1.1M | 1.8M |
| Nintendo Network (video games) | 2.4M | 1.0% | 1.1M | 46.2% | 1.3M | 53.8% | 0.18M | 0.56M | 0.55M | 0.35M | 0.77M |
| Oculus Rift (game consoles & accessories) | 2.3M | 0.9% | 0.77M | 33.7% | 1.5M | 66.3% | 0.18M | 0.73M | 0.63M | 0.35M | 0.38M |
| PlayStation VR (game consoles & accessories) | 1.5M | 0.6% | 0.39M | 26.6% | 1.1M | 73.4% | 0.15M | 0.54M | 0.38M | 0.18M | 0.22M |
| GameCube (game console) | 0.34M | 0.1% | 0.07M | 21.3% | 0.27M | 78.7% | 0.03M | 0.14M | 0.11M | 0.04M | 0.03M |
The data was obtained using the Meta Marketing API and may differ from the data displayed in Ads Manager.
Publishers and studios
Publisher and studio interests tend to behave like taste and identity targetings. They are usually smaller than broad genres, but often more actionable for creative positioning because the audience shares references and expectations.
Key patterns in this set:
- Garena is unusually large for a publisher interest (7.2% of the universe) and relatively balanced compared with typical core gamer brands (41.2% female). It can act like a hybrid between mainstream and core.
- Epic Games is large enough for scaling tests and is clearly male-skewed (74.0% male), with heavy concentration in 25 to 34.
- Rockstar and Ubisoft are strong core gamer publisher signals: both are male-skewed and tend to peak in 25 to 34.
- Some studio interests (for example, Insomniac) are extremely niche. These are best treated as precision layers for tailored creative rather than as primary scale levers.
Practical usage suggestions:
- Use larger publishers (Garena, Epic, Rockstar, Ubisoft) as separate ad sets if you want publisher-led messaging.
- Use niche studios (Insomniac, Devolver, Atlus, Crytek) only when you can match creative and offer very closely.
Publishers and studios
| Targeting | Total | Share | Female | % Female | Male | % Male | 18-24 | 25-34 | 35-44 | 45-54 | 55+ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Garena (video games) | 18.1M | 7.2% | 7.4M | 41.2% | 10.6M | 58.8% | 4.1M | 6.8M | 3.7M | 1.8M | 1.7M |
| Epic Games (video games) | 4.9M | 1.9% | 1.3M | 26.0% | 3.6M | 74.0% | 0.57M | 1.8M | 1.2M | 0.58M | 0.68M |
| Rockstar Games (video games) | 3.8M | 1.5% | 0.64M | 16.8% | 3.1M | 83.2% | 0.80M | 1.5M | 0.76M | 0.34M | 0.38M |
| Ubisoft (video games) | 3.1M | 1.2% | 0.76M | 24.5% | 2.3M | 75.5% | 0.52M | 1.1M | 0.68M | 0.36M | 0.45M |
| Sega (video games) | 2.1M | 0.9% | 0.53M | 24.6% | 1.6M | 75.4% | 0.29M | 0.68M | 0.54M | 0.31M | 0.32M |
| Obsidian Entertainment (video games) | 2.0M | 0.8% | 1.5M | 74.6% | 0.51M | 25.4% | 0.03M | 0.22M | 0.31M | 0.35M | 1.1M |
| Capcom (gaming brand) | 0.87M | 0.3% | 0.23M | 26.1% | 0.64M | 73.9% | 0.10M | 0.32M | 0.29M | 0.10M | 0.06M |
| 2K Games (video games) | 0.52M | 0.2% | 0.17M | 31.6% | 0.36M | 68.4% | 0.05M | 0.20M | 0.16M | 0.07M | 0.05M |
| Zynga (video games) | 0.28M | 0.1% | 0.18M | 62.4% | 0.11M | 37.6% | 0.02M | 0.12M | 0.04M | 0.02M | 0.08M |
| Insomniac Games (video games) | 0.11M | 0.0% | 0.03M | 26.6% | 0.08M | 73.4% | 0.01M | 0.04M | 0.02M | 0.01M | 0.02M |
| Devolver Digital (video games) | 0.10M | 0.0% | 0.05M | 46.4% | 0.05M | 53.6% | 0.03M | 0.04M | 0.02M | 0.01M | 0.00M |
| Atlus USA (video games) | 0.04M | 0.0% | 0.01M | 18.5% | 0.03M | 81.5% | 0.00M | 0.02M | 0.01M | 0.00M | 0.00M |
| Crytek (video games) | 0.02M | 0.0% | 0.01M | 29.6% | 0.01M | 70.4% | 0.00M | 0.00M | 0.00M | 0.00M | 0.00M |
The data was obtained using the Meta Marketing API and may differ from the data displayed in Ads Manager.
Genres and gameplay categories
Genres are often the most usable layer for messaging because they map directly to how people describe what they play. The most important demographic split in these data is between casual and puzzle mechanics and shooter and tactical mechanics.
High-level patterns:
- Role-playing is the largest genre here (14.7% of the universe) and is moderately male-skewed (57.0% male). It is strong across 25 to 44, with meaningful scale even in older segments.
- Action, strategy, casual, sports are all huge and relatively mainstream. These are typically your best choices when you need both relevance and volume.
- Puzzle and tile-matching lean older and are less male-skewed. Puzzle is female-majority in this dataset.
- Shooter and tactical subgenres are smaller and much more male-skewed. They are usually best treated as dedicated ad sets with genre-matched creative.
Practical usage suggestions:
- If you want scalable gaming relevance, start with Action, Casual, Strategy, Sports, plus Role-playing if your offer fits.
- If you want older reach inside gaming, prioritize Puzzle, Tile-matching, and selected soft genres like Arcade and Adventure.
- If you want core gamer intensity, isolate Third-person shooter, Tactical shooter, First-person shooter, plus tactical RPG if you have the right creative.
Genres and gameplay categories
| Targeting | Total | Share | Female | % Female | Male | % Male | 18-24 | 25-34 | 35-44 | 45-54 | 55+ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Role-playing games (video games) | 37.0M | 14.7% | 15.9M | 43.0% | 21.1M | 57.0% | 5.3M | 12.0M | 8.6M | 5.0M | 6.1M |
| Casual game (video games) | 26.4M | 10.5% | 12.3M | 46.6% | 14.1M | 53.4% | 4.8M | 8.7M | 5.5M | 3.2M | 4.2M |
| Action games (video games) | 26.1M | 10.4% | 10.4M | 39.8% | 15.7M | 60.2% | 3.8M | 8.3M | 6.0M | 3.6M | 4.4M |
| Strategy games (games) | 23.7M | 9.4% | 10.2M | 43.0% | 13.5M | 57.0% | 3.1M | 7.3M | 5.4M | 3.3M | 4.6M |
| Sports games (video games) | 23.3M | 9.2% | 9.5M | 40.7% | 13.8M | 59.3% | 1.9M | 5.7M | 5.3M | 3.8M | 6.6M |
| Puzzle video games (video games) | 22.9M | 9.1% | 12.7M | 55.4% | 10.2M | 44.6% | 1.8M | 5.1M | 5.0M | 3.8M | 7.2M |
| Simulation games (video games) | 18.4M | 7.3% | 7.1M | 38.5% | 11.3M | 61.5% | 2.5M | 5.6M | 4.1M | 2.5M | 3.7M |
| Racing games (video game) | 14.7M | 5.8% | 4.9M | 33.2% | 9.8M | 66.8% | 1.4M | 4.1M | 3.4M | 2.3M | 3.5M |
| First-person shooter games (video games) | 16.0M | 6.3% | 5.7M | 35.4% | 10.3M | 64.6% | 1.1M | 4.6M | 3.8M | 2.4M | 4.1M |
| Adventure game (video games) | 15.1M | 6.0% | 6.0M | 39.8% | 9.1M | 60.2% | 2.0M | 4.7M | 3.5M | 2.1M | 2.8M |
| Arcade game (video games) | 14.3M | 5.7% | 6.3M | 44.4% | 7.9M | 55.6% | 0.85M | 3.6M | 3.8M | 2.7M | 3.3M |
| Action-adventure game (video games) | 10.9M | 4.3% | 3.3M | 29.9% | 7.7M | 70.1% | 1.7M | 3.9M | 2.4M | 1.2M | 1.7M |
| Real-time strategy (video games) | 10.8M | 4.3% | 4.8M | 44.8% | 6.0M | 55.2% | 1.6M | 3.0M | 2.2M | 1.4M | 2.5M |
| Multiplayer video game (video games) | 10.7M | 4.2% | 3.5M | 33.0% | 7.2M | 67.0% | 1.0M | 3.4M | 2.8M | 1.6M | 1.8M |
| Action role-playing game (video game) | 8.8M | 3.5% | 2.4M | 27.5% | 6.3M | 72.5% | 1.6M | 3.1M | 2.1M | 1.0M | 0.98M |
| Platform game (video games) | 5.3M | 2.1% | 2.3M | 43.3% | 3.0M | 56.7% | 0.32M | 1.5M | 1.4M | 0.90M | 1.3M |
| Tile-matching video game (gaming) | 5.5M | 2.2% | 2.9M | 52.3% | 2.6M | 47.7% | 0.38M | 1.2M | 1.2M | 0.96M | 1.7M |
| Turn-based strategy (video games) | 3.7M | 1.5% | 0.85M | 22.8% | 2.9M | 77.2% | 0.86M | 1.4M | 0.78M | 0.34M | 0.34M |
| Third-person shooter (video games) | 4.6M | 1.8% | 0.84M | 18.4% | 3.7M | 81.6% | 0.92M | 1.7M | 1.0M | 0.46M | 0.47M |
| Tactical shooter (video games) | 4.4M | 1.8% | 0.82M | 18.4% | 3.6M | 81.6% | 0.24M | 1.1M | 0.99M | 0.71M | 1.4M |
| Tactical role-playing game (video games) | 5.7M | 2.2% | 1.5M | 26.6% | 4.2M | 73.4% | 1.2M | 2.0M | 1.3M | 0.62M | 0.56M |
| Fighting game (video games) | 3.2M | 1.3% | 0.81M | 25.3% | 2.4M | 74.7% | 0.30M | 1.1M | 1.1M | 0.40M | 0.27M |
| Construction and management simulation (video games) | 3.5M | 1.4% | 1.2M | 34.0% | 2.3M | 66.0% | 0.36M | 1.1M | 0.85M | 0.50M | 0.66M |
| Survival horror (video game) | 3.6M | 1.4% | 1.1M | 30.5% | 2.5M | 69.5% | 0.38M | 1.3M | 0.97M | 0.46M | 0.49M |
| Online bingo (video games) | 1.6M | 0.7% | 1.0M | 61.7% | 0.63M | 38.3% | 0.06M | 0.30M | 0.35M | 0.29M | 0.65M |
| Music video game (video game) | 1.0M | 0.4% | 0.44M | 44.1% | 0.56M | 55.9% | 0.07M | 0.27M | 0.26M | 0.18M | 0.22M |
The data was obtained using the Meta Marketing API and may differ from the data displayed in Ads Manager.
Other targetings (selected game titles)
Game title interests are precision tools. They are best when your creative is clearly aligned with the title’s identity, genre expectations, and visual language. The demographic skew can be strong, so do not treat these like broad reach audiences unless the title is truly massive.
Below are selected titles grouped by theme.
Most of these are male-skewed and concentrated in 18 to 44, especially 25 to 34. Fortnite stands out as an exceptionally large title interest that can behave more like a mainstream entertainment audience than a niche title.
Competitive and multiplayer titles
| Targeting | Total | Share | Female | % Female | Male | % Male | 18-24 | 25-34 | 35-44 | 45-54 | 55+ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fortnite (video game) | 32.1M | 12.7% | 12.8M | 39.9% | 19.3M | 60.1% | 5.8M | 11.4M | 6.7M | 3.5M | 4.7M |
| League of Legends (video game) | 25.5M | 10.1% | 10.0M | 39.2% | 15.5M | 60.8% | 5.0M | 9.3M | 5.5M | 2.8M | 2.9M |
| Dota 2 (video game) | 8.1M | 3.2% | 2.2M | 27.3% | 5.9M | 72.7% | 1.7M | 2.9M | 1.7M | 0.84M | 0.93M |
| Overwatch (video game1) | 4.9M | 1.9% | 1.4M | 28.2% | 3.5M | 71.8% | 0.44M | 1.6M | 1.3M | 0.64M | 0.89M |
| Call of Duty (video game) | 5.7M | 2.3% | 1.1M | 19.9% | 4.6M | 80.1% | 1.0M | 2.0M | 1.2M | 0.67M | 0.83M |
| Tom Clancy's Rainbow Six Siege (video game) | 1.7M | 0.7% | 0.18M | 10.4% | 1.6M | 89.6% | 0.24M | 0.75M | 0.45M | 0.16M | 0.13M |
| Rocket League (video game) | 0.34M | 0.1% | 0.07M | 19.2% | 0.28M | 80.8% | 0.08M | 0.18M | 0.05M | 0.02M | 0.01M |
The data was obtained using the Meta Marketing API and may differ from the data displayed in Ads Manager.
These titles typically concentrate in 25 to 44. Some are strongly male-skewed (Cyberpunk, Resident Evil), while others are closer to balanced (The Sims, some fantasy franchises).
RPG and story-driven titles
| Targeting | Total | Share | Female | % Female | Male | % Male | 18-24 | 25-34 | 35-44 | 45-54 | 55+ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| World of Warcraft (video game) | 8.3M | 3.3% | 2.5M | 30.0% | 5.8M | 70.0% | 1.1M | 2.9M | 2.0M | 1.1M | 1.3M |
| The Elder Scrolls V: Skyrim (video game) | 4.1M | 1.6% | 1.3M | 30.8% | 2.8M | 69.2% | 0.62M | 1.6M | 1.00M | 0.47M | 0.43M |
| The Elder Scrolls (video game) | 4.5M | 1.8% | 1.3M | 29.7% | 3.2M | 70.3% | 0.66M | 1.7M | 1.2M | 0.50M | 0.44M |
| Final Fantasy (video game) | 4.5M | 1.8% | 1.3M | 28.2% | 3.2M | 71.8% | 0.67M | 1.6M | 1.1M | 0.48M | 0.70M |
| Cyberpunk 2077 (video game) | 2.6M | 1.0% | 0.45M | 17.4% | 2.1M | 82.6% | 0.25M | 0.98M | 0.77M | 0.28M | 0.28M |
| Alan Wake (video game) | 0.47M | 0.2% | 0.09M | 19.0% | 0.38M | 81.0% | 0.03M | 0.17M | 0.18M | 0.04M | 0.05M |
| Resident Evil (video game) | 3.9M | 1.5% | 1.2M | 31.0% | 2.7M | 69.0% | 0.61M | 1.5M | 1.0M | 0.44M | 0.30M |
The data was obtained using the Meta Marketing API and may differ from the data displayed in Ads Manager.
These often have broader age coverage than competitive shooters. Some titles can skew older, which matters for creative tone.
Sports, racing, and simulation titles
| Targeting | Total | Share | Female | % Female | Male | % Male | 18-24 | 25-34 | 35-44 | 45-54 | 55+ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| FIFA (video game series) | 4.5M | 1.8% | 1.4M | 30.8% | 3.1M | 69.2% | 0.56M | 1.4M | 1.2M | 0.64M | 0.69M |
| Pro Evolution Soccer (video game) | 0.71M | 0.3% | 0.20M | 28.2% | 0.51M | 71.8% | 0.10M | 0.24M | 0.18M | 0.10M | 0.10M |
| F1 (video game) | 0.61M | 0.2% | 0.19M | 31.6% | 0.42M | 68.4% | 0.05M | 0.18M | 0.17M | 0.11M | 0.10M |
| Need for Speed (video game) | 1.3M | 0.5% | 0.22M | 16.2% | 1.1M | 83.8% | 0.12M | 0.44M | 0.36M | 0.21M | 0.21M |
| Microsoft Flight Simulator (video game) | 0.92M | 0.4% | 0.18M | 20.1% | 0.73M | 79.9% | 0.17M | 0.37M | 0.20M | 0.06M | 0.12M |
| Mario Kart (video game) | 3.6M | 1.4% | 1.8M | 50.2% | 1.8M | 49.8% | 0.24M | 0.94M | 0.99M | 0.66M | 0.81M |
The data was obtained using the Meta Marketing API and may differ from the data displayed in Ads Manager.
These tend to be closer to balanced and can be useful when your offer is broader than core gamer. Licensed titles can also bring in a meaningfully different gender profile.
Mainstream entertainment and licensed IP
| Targeting | Total | Share | Female | % Female | Male | % Male | 18-24 | 25-34 | 35-44 | 45-54 | 55+ |
|---|---|---|---|---|---|---|---|---|---|---|---|
| The Sims (video game) | 3.8M | 1.5% | 2.0M | 52.4% | 1.8M | 47.6% | 0.75M | 1.6M | 0.80M | 0.32M | 0.37M |
| The Legend of Zelda (video game) | 3.4M | 1.3% | 1.1M | 34.0% | 2.2M | 66.0% | 0.40M | 1.2M | 0.93M | 0.41M | 0.42M |
| Age of Empires II: The Age of Kings (video game) | 0.33M | 0.1% | 0.05M | 14.8% | 0.28M | 85.2% | 0.03M | 0.13M | 0.09M | 0.04M | 0.03M |
| Harry Potter and the Half-Blood Prince (video game) | 0.85M | 0.3% | 0.47M | 56.1% | 0.37M | 43.9% | 0.06M | 0.28M | 0.23M | 0.12M | 0.15M |
| Harry Potter and the Deathly Hallows - Part 2 (video game) | 0.69M | 0.3% | 0.36M | 52.5% | 0.33M | 47.5% | 0.05M | 0.24M | 0.19M | 0.10M | 0.12M |
The data was obtained using the Meta Marketing API and may differ from the data displayed in Ads Manager.
Key takeaways
- Scale leaders
- Mobile game is the largest gaming audience here and is close to gender-balanced.
- MMO and Online games are also very large and can support scaled delivery.
- Gender structure patterns
- Puzzle, tile-matching, and bingo-style mechanics can be female-majority or close to balanced.
- Shooter and tactical interests are heavily male-skewed and should be treated as core gamer segments.
- Age structure patterns
- 25 to 34 is the most common peak across most gaming targetings.
- Several casual mechanic targetings carry a strong 55+ tail, which can materially change creative tone and conversion behavior.
- How to build a clean targeting plan
- Use broad audiences (Mobile, Action, Casual, Strategy, Sports, Role-playing) for scale.
- Split core gamer audiences (Multiplayer, MMO, Esports, shooters) into separate ad sets for clearer learning.
- Use titles and publishers as precision layers only when you can match creative and offer closely.