A data profile of the people who buy, follow and care about Fast casual restaurants in South Africa — modelled from more than twelve digital signal sources. Fast casual restaurants has an estimated audience of 1,181,604 people in South Africa.
Fast casual restaurants has an estimated audience of 1,181,604 people in South Africa. 59.6% are female, 40.4% are male, average age 36.9. Top brand affinities: Autotrader, Online food ordering, TikTok, Local food, Delivery order.
Top brand affinities include Autotrader, Online food ordering, TikTok, with strongest over-indexing on Autotrader (2.01× the country average).
Demographically, the Fast casual restaurants audience skews more female with an average age of 36.9, and over-indexes on personality traits such as Healthy Lifestyle, Travelling.
The typical Fast casual restaurants fan in South Africa is more female, around 36.9 years old, with strong Healthy Lifestyle tendencies and a notable affinity for Autotrader.
The key figures that characterise the Fast casual restaurants profile in South Africa.
59.6% are female, 40.4% are male, average age 36.9.
| Metric | Value |
|---|---|
| Female | 59.6% |
| Male | 40.4% |
| Average age | 36.9 |
| Estimated audience size | 1,181,604 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 20% | |
| 20-29 | 29% | |
| 30-39 | 21% | |
| 40-49 | 12% | |
| 50+ | 18% |
of the worldwide Fast casual restaurants audience comes from South Africa.
| Country | Share |
|---|---|
| United States | 17.1% |
| Japan | 7.8% |
| Brazil | 5.6% |
The strongest cross-interests of the Fast casual restaurants audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Delivery order | Food & Beverages | 7.20× | ||
| 02 | Online food ordering | Food & Beverages | 5.99× | ||
| 03 | Home Delivery | Food & Beverages | 5.87× | ||
| 04 | Cheeseburger | Food & Beverages | 5.16× | ||
| 05 | Foodservice | Food & Beverages | 4.21× | ||
| 06 | Local food | Food & Beverages | 4.10× | ||
| 07 | Purchase discount | Shopping | 3.91× | ||
| 08 | Home business | Business & Career | 3.48× | ||
| 09 | Fast food restaurants | Food & Beverages | 3.22× | ||
| 10 | Property finder | Home & Garden | 3.17× | ||
| 11 | Steve Madden | Fashion & Accessoires | 2.94× | ||
| 12 | Expensive Taste | Business & Career | 2.74× | ||
| 13 | Organic food | Food & Beverages | 2.38× | ||
| 14 | Nike | Fashion & Accessoires | 2.17× | ||
| 15 | Mr. Price | Fashion & Accessoires | 2.16× | ||
| 16 | TikTok | Internet & Social Media | 2.03× | ||
| 17 | Autotrader | Cars & Mobility | 2.01× | ||
| 18 | FIFA World Cup | Sports | 1.96× | ||
| 19 | FNB | Business & Career | 1.83× | ||
| 20 | Mr Price / MRP | Brand | 1.81× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Healthy Lifestyle | BALANCE | 2.80× | |
| Travelling | THRILL | 2.52× | |
| Patriotism | CONSERVATISM | 2.36× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 0.92× | |
| Spirituality | BALANCE | 2.12× | |
| Patriotism | CONSERVATISM | 2.36× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in South Africa who actively search for Fast casual restaurants. 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 South Africa. 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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