Rascasse Audience Intelligence

Prediction Audience in Germany

A data profile of the people who buy, follow and care about Prediction in Germany — modelled from more than twelve digital signal sources. Prediction has an estimated audience of 1,046,139 people in Germany.

The average Prediction fan in Germany is 42.7 years old, balanced, and lives primarily in Nordrhein-Westfalen.

The audience is concentrated in Nordrhein-Westfalen, Bayern, Baden-Württemberg.

Top brand affinities include Payback, Sam Neill, Tagesschau, with strongest over-indexing on Payback (12.15× the country average).

Demographically, the Prediction audience skews balanced with an average age of 42.7, and over-indexes on personality traits such as Need for Security, Early Adopter Mentality.

Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 16 regions tracked by Rascasse.

The typical Prediction fan in Germany is balanced, around 42.7 years old, with strong Need for Security tendencies and a notable affinity for Payback.

Category: Business & Career · Type: Topic

The data on this page comes from the Rascasse audience panel and is refreshed monthly from search, social and browsing signals. As of 2026-08-10.

Section 01

At a glance

The key figures that characterise the Prediction profile in Germany.

Audience size
1M
in Germany
Gender
48.2%
51.8% male
Age
42.7
average years
Country rank
#6262
Topic in Germany
Fig. 01

Search interest · 12-month trend

-33%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Prediction fans

48.2% are female, 51.8% are male, average age 42.7.

Fig. 02

Gender split

48.2%
Female
51.8%
Male
Demographic split for Prediction audience in Germany
MetricValue
Female48.2%
Male51.8%
Average age42.7
Estimated audience size1,046,139
Fig. 03

Age distribution

Ø 42.7
average years
Age distribution of the Prediction audience in Germany
Age bracketShare%
16-199%
20-2918%
30-3924%
40-4926%
50+23%
Fig. 04

Worldwide distribution

4.0%

of the worldwide Prediction audience comes from Germany.

Worldwide audience distribution share by country for Prediction
CountryShare
United States35.2%
Italy7.9%
Mexico7.9%
Section 03
Affinity (×) = how much more likely a member of this audience is to live in a region than the Germany average. Example: 2.0× means twice as concentrated as the national baseline.

Geography

Where the Prediction audience in Germany is strongest.

Fig. 05

Top regions by affinity

Prediction fans by region: top regions in Germany
#RegionReachAffinity×
01Sachsen~80K1.47×
02Sachsen-Anhalt~40K1.39×
03Thüringen~30K1.27×
04Brandenburg~40K1.19×
05Niedersachsen~100K1.08×
06Mecklenburg-Vorpommern~20K1.02×
07Saarland~10K0.98×
08Rheinland-Pfalz~50K0.93×
09Nordrhein-Westfalen~200K0.92×
10Bayern~200K0.92×
11Schleswig-Holstein~30K0.90×
12Hessen~70K0.89×
13Hamburg~20K0.85×
14Baden-Württemberg~100K0.80×
15Berlin~40K0.78×
16Bremen~7K0.75×
Fig. 06

Affinity by region

Affinity by region — Prediction, Germany
0.75×1.00×1.47×
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the Prediction audience — brands, topics and people combined.

Fig. 07

Top cross-interests, ranked by affinity

Top brand affinities (over-index vs. country average) for Prediction audience
#·InterestCategoryAffinity×
01Patti SmithMusic & Radio20.00×
02Sam NeillMovies & TV17.95×
03MongoDBTechnology & Electronics16.28×
04DevOpsTechnology & Electronics15.60×
05BMW iCars & Mobility15.14×
06JIRATechnology & Electronics15.12×
07Giannis AntetokounmpoSports14.22×
08Data visualizationTechnology & Electronics14.17×
09Kate BushMusic & Radio13.34×
10Business analyticsTechnology & Electronics12.39×
11James FrancoMovies & TV12.18×
12PaybackShopping12.15×
13Connected carCars & Mobility11.46×
14Software as a serviceTechnology & Electronics11.26×
15AngularJSTechnology & Electronics9.44×
16HertzCars & Mobility8.45×
17Computer securityBusiness & Career5.29×
18TagesschauMovies & TV3.21×
19Online newspaperNews2.64×
20RyanairTravel & Leisure2.29×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Prediction audience

Values above 1.00× are above the country average, values below 1.00× below it.

Fig. 08

Deviation from the national baseline

What stands out
The strongest tendencies
Top personality traits over-indexed by Prediction audience · What stands out
TraitClusterDeviationScore
Need for SecurityCONSERVATISM2.46×
Early Adopter MentalityPOWER1.82×
Career OrientationPOWER1.74×
1.00× baseline
Rather not
The weakest tendencies
Top personality traits over-indexed by Prediction audience · Rather not
TraitClusterDeviationScore
DIY MentalityTHRILL0.66×
Price SensitivityPREMIUM0.67×
Luxury OrientationPREMIUM0.72×
1.00× baseline
Section 06

Frequently asked questions

01

How many fans does Prediction have in Germany?

Prediction has an estimated audience of 1,046,139 people in Germany, concentrated in Nordrhein-Westfalen and Bayern.

02

What is the gender split and age of Prediction fans?

48.2% of Prediction fans are female, 51.8% are male, with an average age of 42.7 years.

03

Which brands do Prediction fans like most?

Prediction fans show strongest brand affinity for Payback (12.15×), Sam Neill (17.95×), and Tagesschau (3.21×) over the country average.

04

Where do Prediction fans live in Germany?

Prediction fans in Germany are most concentrated in Nordrhein-Westfalen (reach ~200K), Bayern (reach ~200K), and Baden-Württemberg (reach ~100K). These three regions account for the largest share of the active audience.

05

What other brands do Prediction fans also like?

Beyond Prediction itself, the audience over-indexes on Sam Neill (17.95×), Tagesschau (3.21×), Giannis Antetokounmpo (14.22×), and Kate Bush (13.34×) compared to the Germany average.

Appendix

Explore more audiences

Related profiles, rankings and the same audience in other markets.

How to read this data

Audience size is the estimated number of people in Germany who actively search for Prediction. 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.

About this audience profile

This audience profile is generated by Rascasse from anonymized search-behavior signals across Germany. 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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