How to read this list
Rank
Position in the Top 63, sorted by audience size from largest to smallest. Updated weekly.
Audience size
Estimated number of unique people in United States who actively engage with this audience, derived from anonymized search-behavior signals.
Country share
Share of the global audience that is active in United States. A higher value means the audience is more locally concentrated here.
Avg age
Average age in years across the people who engage with this audience in United States, derived from anonymized search-behavior signals. A dash means demographic data is not yet available.
Female share
Share of women among the people who engage with this audience in United States. 50% is gender-balanced; values above mean female-skewed, below mean male-skewed.
Ranking
| Rank | Audience | Audience size | Country share | Avg age | Female share | Subtype |
|---|---|---|---|---|---|---|
| 26 |  Beverages |
127M | 18.1% | 40.2 | 56.9% | Lifestyle cluster |
| 27 |  Personal finance |
127M | 19.6% | 42.3 | 50.5% | Lifestyle cluster |
| 28 |  Computers |
126M | 17.9% | 39.6 | 49.5% | Lifestyle cluster |
| 29 |  Current events |
124M | 21.3% | 43.0 | 52.3% | Lifestyle cluster |
| 30 |  Physical fitness |
121M | 20.0% | 40.7 | 53.5% | Lifestyle cluster |
| 31 |  Culture |
120M | 19.6% | 40.3 | 54.9% | Lifestyle cluster |
| 32 |  Physical exercise |
118M | 20.7% | 40.8 | 55.1% | Lifestyle cluster |
| 33 |  Social network |
115M | 19.1% | 40.2 | 52.8% | Lifestyle cluster |
| 34 |  Televisions |
113M | 19.8% | 40.1 | 51.2% | Lifestyle cluster |
| 35 |  Alcoholic beverages |
110M | 21.0% | 40.8 | 53.2% | Lifestyle cluster |
| 36 |  Mobile phones |
109M | 18.3% | 41.2 | 51.2% | Lifestyle cluster |
| 37 |  Shoes |
107M | 18.0% | 40.2 | 60.0% | Lifestyle cluster |
| 38 |  Automobiles |
104M | 19.3% | 40.9 | 44.4% | Lifestyle cluster |
| 39 |  Home improvement |
103M | 22.2% | 43.8 | 54.8% | Lifestyle cluster |
| 40 |  Real estate |
103M | 21.3% | 42.1 | 52.9% | Lifestyle cluster |
| 41 |  Software |
103M | 17.4% | 40.7 | 51.1% | Lifestyle cluster |
| 42 |  Cuisine |
103M | 16.6% | 40.3 | 57.3% | Lifestyle cluster |
| 43 |  Social media |
102M | 19.1% | 41.3 | 53.8% | Lifestyle cluster |
| 44 |  Nature |
101M | 18.6% | 42.8 | 56.4% | Lifestyle cluster |
| 45 |  Jewelry |
100M | 18.9% | 40.5 | 63.2% | Lifestyle cluster |
| 46 |  Mobile app |
98M | 21.0% | 41.9 | 52.5% | Lifestyle cluster |
| 47 |  Video |
92M | 16.2% | 40.7 | 49.0% | Lifestyle cluster |
| 48 |  Smartphones |
91M | 17.2% | 41.4 | 50.5% | Lifestyle cluster |
| 49 |  Furniture |
89M | 17.7% | 42.8 | 60.9% | Lifestyle cluster |
| 50 |  Luxury goods |
89M | 16.5% | 40.0 | 62.2% | Lifestyle cluster |
Want the full picture for any of these audiences?
Open any profile to see psychographics, top regions, peer affinities and demographic splits — all derived from the same anonymized signals.
Frequently asked questions
How is this Top 63 list compiled?
Rascasse aggregates anonymized search-behavior signals across United States and ranks each lifestyle cluster by its estimated audience size. Only entries with at least 5 measured entities are listed.
How often is the list updated?
The ranking is refreshed weekly from the latest search-behavior data and re-published as a static page.
What is the largest lifestyle cluster in United States?
Food and drink currently leads with an estimated audience of 183M people in United States.