A data profile of the people who buy, follow and care about Software release life cycle in United States — modelled from more than twelve digital signal sources. Software release life cycle has an estimated audience of 4,281,413 people in United States.
The average Software release life cycle fan in United States is 36.3 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Amazon Music, Android (operating system), The UPS Store, with strongest over-indexing on Amazon Music (9.06× the country average).
Demographically, the Software release life cycle audience skews more male with an average age of 36.3, and over-indexes on personality traits such as Career Orientation, Need for Security.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Software release life cycle fan in United States is more male, around 36.3 years old, with strong Career Orientation tendencies and a notable affinity for Amazon Music.
The key figures that characterise the Software release life cycle profile in United States.
44.2% are female, 55.8% are male, average age 36.3.
| Metric | Value |
|---|---|
| Female | 44.2% |
| Male | 55.8% |
| Average age | 36.3 |
| Estimated audience size | 4,281,413 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 25% | |
| 20-29 | 24% | |
| 30-39 | 19% | |
| 40-49 | 17% | |
| 50+ | 15% |
Where the Software release life cycle audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Delaware | ~10K | 1.24× | |
| 02 | Rhode Island | ~20K | 1.20× | |
| 03 | New Hampshire | ~20K | 1.17× | |
| 04 | Washington, District of Columbia | ~20K | 1.17× | |
| 05 | Hawaii | ~20K | 1.14× | |
| 06 | Idaho | ~20K | 1.13× | |
| 07 | Kansas | ~40K | 1.12× | |
| 08 | New Mexico | ~20K | 1.10× | |
| 09 | Nebraska | ~20K | 1.08× | |
| 10 | Mississippi | ~40K | 1.07× | |
| 11 | South Dakota | ~10K | 1.07× | |
| 12 | Arkansas | ~40K | 1.06× | |
| 13 | Vermont | ~8K | 1.05× | |
| 14 | Oklahoma | ~50K | 1.03× | |
| 15 | Utah | ~40K | 1.03× | |
| 16 | Iowa | ~40K | 1.02× | |
| 17 | Louisiana | ~60K | 1.01× | |
| 18 | West Virginia | ~20K | 1.01× | |
| 19 | North Dakota | ~9K | 1.01× | |
| 20 | Connecticut | ~40K | 1.00× | |
| 21 | Nevada | ~40K | 1.00× | |
| 22 | Maine | ~20K | 1.00× | |
| 23 | Montana | ~10K | 1.00× | |
| 24 | Alaska | ~9K | 1.00× | |
| 25 | Alabama | ~60K | 0.98× | |
| 26 | Kentucky | ~50K | 0.98× | |
| 27 | Oregon | ~50K | 0.98× | |
| 28 | Missouri | ~70K | 0.96× | |
| 29 | Wisconsin | ~60K | 0.96× | |
| 30 | South Carolina | ~60K | 0.96× | |
| 31 | Minnesota | ~60K | 0.96× | |
| 32 | Indiana | ~70K | 0.95× | |
| 33 | Maryland | ~70K | 0.95× | |
| 34 | Colorado | ~60K | 0.95× | |
| 35 | Tennessee | ~80K | 0.94× | |
| 36 | Washington | ~80K | 0.92× | |
| 37 | Massachusetts | ~80K | 0.92× | |
| 38 | Virginia | ~90K | 0.91× | |
| 39 | Arizona | ~80K | 0.91× | |
| 40 | Michigan | ~100K | 0.90× | |
| 41 | New Jersey | ~100K | 0.90× | |
| 42 | Georgia | ~100K | 0.89× | |
| 43 | Ohio | ~100K | 0.89× | |
| 44 | North Carolina | ~100K | 0.89× | |
| 45 | Pennsylvania | ~100K | 0.88× | |
| 46 | Illinois | ~100K | 0.87× | |
| 47 | New York | ~200K | 0.82× | |
| 48 | Florida | ~200K | 0.81× | |
| 49 | Texas | ~300K | 0.77× | |
| 50 | California | ~300K | 0.72× |
The strongest cross-interests of the Software release life cycle audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Amazon Music | Music & Radio | 9.06× | ||
| 02 | Assassin's Creed | Games | 2.98× | ||
| 03 | Micro Center | Shopping | 2.80× | ||
| 04 | The UPS Store | Shopping | 2.39× | ||
| 05 | MetroPCS | Technology & Electronics | 2.35× | ||
| 06 | Improvisation | Music & Radio | 2.18× | ||
| 07 | Android (operating system) | Technology & Electronics | 2.05× | ||
| 08 | Anya Taylor-Joy | Movies & TV | 1.94× | ||
| 09 | GameStop | Games | 1.89× | ||
| 10 | Web server | Technology & Electronics | 1.86× | ||
| 11 | Information security | Business & Career | 1.77× | ||
| 12 | Massively multiplayer online games | Games | 1.72× | ||
| 13 | Patreon | Internet & Social Media | 1.65× | ||
| 14 | Dow Jones Industrial Average | Business & Career | 1.64× | ||
| 15 | True crime | Movies & TV | 1.62× | ||
| 16 | Computer security | Business & Career | 1.61× | ||
| 17 | Baby food | Kids & Family | 1.58× | ||
| 18 | Master of Business Administration | Business & Career | 1.58× | ||
| 19 | Chuck E. Cheese's | Food & Beverages | 1.57× | ||
| 20 | Arcade game | Games | 1.53× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.28× | |
| Need for Security | CONSERVATISM | 1.28× | |
| Convenience Orientation | PREMIUM | 1.22× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sustainability | BALANCE | 0.51× | |
| Sports Activity | POWER | 0.71× | |
| Tradition | CONSERVATISM | 0.72× |
Software release life cycle has an estimated audience of 4,281,413 people in United States, concentrated in California and Texas.
44.2% of Software release life cycle fans are female, 55.8% are male, with an average age of 36.3 years.
Software release life cycle fans show strongest brand affinity for Amazon Music (9.06×), Android (operating system) (2.05×), and The UPS Store (2.39×) over the country average.
Software release life cycle fans in United States are most concentrated in California (reach ~300K), Texas (reach ~300K), and Florida (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Software release life cycle itself, the audience over-indexes on Android (operating system) (2.05×), The UPS Store (2.39×), Micro Center (2.8×), and GameStop (1.89×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States who actively search for Software release life cycle. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.
This audience profile is generated by Rascasse from anonymized search-behavior signals across United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.
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