A data profile of the people who buy, follow and care about Non-linear editing system in United States — modelled from more than twelve digital signal sources. Non-linear editing system has an estimated audience of 492,710 people in United States.
Non-linear editing system has an estimated audience of 492,710 people in United States. 40.3% are female, 59.7% are male, average age 37.9. Top brand affinities: Military press, Chemical engineering, Stamped concrete, Hairbrush, Domino's Pizza.
Top brand affinities include Military press, Chemical engineering, Stamped concrete, with strongest over-indexing on Military press (72.21× the country average).
Demographically, the Non-linear editing system audience skews more male with an average age of 37.9, and over-indexes on personality traits such as Convenience Orientation, Urban Lifestyle.
The typical Non-linear editing system fan in United States is more male, around 37.9 years old, with strong Convenience Orientation tendencies and a notable affinity for Military press.
The key figures that characterise the Non-linear editing system profile in United States.
40.3% are female, 59.7% are male, average age 37.9.
| Metric | Value |
|---|---|
| Female | 40.3% |
| Male | 59.7% |
| Average age | 37.9 |
| Estimated audience size | 492,710 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 25% | |
| 20-29 | 18% | |
| 30-39 | 19% | |
| 40-49 | 21% | |
| 50+ | 18% |
The strongest cross-interests of the Non-linear editing system audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Military press | Sports | 72.21× | ||
| 02 | Chemical engineering | Business & Career | 45.32× | ||
| 03 | Stamped concrete | Home & Garden | 36.17× | ||
| 04 | Casting | Movies & TV | 22.79× | ||
| 05 | Heat pump | Home & Garden | 13.27× | ||
| 06 | Hairbrush | Beauty & Wellness | 8.31× | ||
| 07 | Systems engineering | Business & Career | 8.07× | ||
| 08 | Hair dryer | Beauty & Wellness | 5.21× | ||
| 09 | Domino's Pizza | Food & Beverages | 4.78× | ||
| 10 | Sole proprietorship | Business & Career | 4.63× | ||
| 11 | Online banking | Business & Career | 4.09× | ||
| 12 | Pizza Hut | Food & Beverages | 3.97× | ||
| 13 | Hair straightening | Beauty & Wellness | 3.56× | ||
| 14 | McDonald's | Food & Beverages | 3.42× | ||
| 15 | Internet celebrity | Internet & Social Media | 3.23× | ||
| 16 | Vehicle insurance | Cars & Mobility | 3.17× | ||
| 17 | FedEx | Business & Career | 2.92× | ||
| 18 | Subway | Food & Beverages | 2.31× | ||
| 19 | Starbucks | Food & Beverages | 2.28× | ||
| 20 | T-Mobile | Technology & Electronics | 2.27× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 1.47× | |
| Urban Lifestyle | OPEN | 1.40× | |
| Price Sensitivity | PREMIUM | 1.30× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.60× | |
| Pet Ownership | JOY | 0.75× | |
| Design Affinity | PREMIUM | 0.76× |
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 Non-linear editing system. 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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