A data profile of the people who buy, follow and care about Sisters (2015 film) in Italy — modelled from more than twelve digital signal sources. Sisters (2015 film) has an estimated audience of 5,742,196 people in Italy.
Sisters (2015 film) fans in Italy are concentrated in Campania, with strong brand affinity for Katherine Heigl.
The audience is concentrated in Campania, Sicilia, Lombardy.
Top brand affinities include Katherine Heigl, Ashley Graham (model), Iran, with strongest over-indexing on Katherine Heigl (10.66× the country average).
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 20 regions tracked by Rascasse.
The typical Sisters (2015 film) fan in Italy shows strong Social Media Usage tendencies and a notable affinity for Katherine Heigl.
The key figures that characterise the Sisters (2015 film) profile in Italy.
| Metric | Value |
|---|---|
| Estimated audience size | 5,742,196 |
of the worldwide Sisters (2015 film) audience comes from Italy.
| Country | Share |
|---|---|
| Italy | 66.3% |
| United States | 19.1% |
| Brazil | 3.5% |
Where the Sisters (2015 film) audience in Italy is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Calabria | ~300K | 1.68× | |
| 02 | Abruzzo | ~200K | 1.42× | |
| 03 | Sicilia | ~700K | 1.41× | |
| 04 | Puglia | ~600K | 1.41× | |
| 05 | Molise | ~40K | 1.40× | |
| 06 | Campania | ~800K | 1.30× | |
| 07 | Basilicata | ~60K | 1.20× | |
| 08 | Sardinia | ~200K | 1.13× | |
| 09 | Piedmont | ~500K | 1.07× | |
| 10 | Marche | ~100K | 0.99× | |
| 11 | Umbria | ~90K | 0.99× | |
| 12 | Lazio | ~600K | 0.87× | |
| 13 | Tuscany | ~300K | 0.87× | |
| 14 | Liguria | ~100K | 0.81× | |
| 15 | Veneto | ~300K | 0.75× | |
| 16 | Aosta Valley | ~10K | 0.72× | |
| 17 | Emilia-Romagna | ~300K | 0.67× | |
| 18 | Lombardy | ~600K | 0.62× | |
| 19 | Friuli-Venezia Giulia | ~60K | 0.58× | |
| 20 | Trentino-Alto Adige/Südtirol | ~10K | 0.13× |
The strongest cross-interests of the Sisters (2015 film) audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Katherine Heigl | Movies & TV | 10.66× | ||
| 02 | Ashley Graham (model) | Fashion & Accessoires | 9.87× | ||
| 03 | Iran | Travel & Leisure | 3.29× | ||
| 04 | Maluma (singer) | Music & Radio | 2.75× | ||
| 05 | Zimmermann | Home & Garden | 2.74× | ||
| 06 | Target Corporation | Shopping | 2.58× | ||
| 07 | Red Velvet (band) | Music & Radio | 2.20× | ||
| 08 | Arezzo | Travel & Leisure | 2.10× | ||
| 09 | Afghanistan | Travel & Leisure | 1.90× | ||
| 10 | Feyenoord | Sports | 1.87× | ||
| 11 | Jake Paul | Internet & Social Media | 1.83× | ||
| 12 | Montenegro | Travel & Leisure | 1.82× | ||
| 13 | Ravelry | Internet & Social Media | 1.78× | ||
| 14 | Solitaire | Games | 1.66× | ||
| 15 | Pop art | Arts & Culture | 1.62× | ||
| 16 | Zoe Saldana | Movies & TV | 1.61× | ||
| 17 | Push-up | Sports | 1.60× | ||
| 18 | Notebook | Technology & Electronics | 1.58× | ||
| 19 | Doughnut | Food & Beverages | 1.55× | ||
| 20 | Malaysia | Travel & Leisure | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 1.12× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 1.12× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Italy who actively search for Sisters (2015 film). 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 Italy. 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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