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Home›Browse›Thriller›A Perfect Life
A Perfect Life

A Perfect Life

2011 · Movie · 91 min

Thriller

(Long Synopsis) "In this sexy, urban psychological-thriller, handsome Andrew Walters (Johan Earl) leads A Perfect Life, with a high-powered career as a corporate executive and his adoring, beautiful, blonde wife, Helen (Heidi Houghting), by his side. But Andrew lives a parallel existence that Helen knows nothing about and not since Fatal Attraction has an extra-marital affair gone so terribly wrong. When Rachel (Amelia Kaldor) decides she’s no longer happy as the other woman and that their relationship has no future, she plots a deadly, heart-stopping “game” of truth-or-dare in which she makes all the rules. Also starring Joe Estevez and Belinda Gosbee."

IMDBTMDB
The Verdict
◎
Audience
Made primarily for older men (94).
◈
Reach
Has targeted appeal — designed for a specific demographic segment.
◇
Advocacy
Entertainment (0/100) — content choices prioritize storytelling over messaging.
◉
Representation
lower hispanic (28) and black (26) and white (1) representation.
Young MaleYoung FemaleMature MaleMature Female
Demographic Position
Gender: 17 — strongly male-targeted
Age: 61 — leans mature
0 = Male / Youth100 = Female / Mature
Primary audienceOlder Men
targeted

Quadrant Scores

Young Men
72
How strongly this title appeals to males 18–34. Based on genre, cast, action/violence levels, pacing, and marketing signals. Higher = stronger appeal.
Young Women
6
How strongly this title appeals to females 18–34. Based on genre, romance centrality, cast composition, lead demographics, and tone. Higher = stronger appeal.
Older Men
94
How strongly this title appeals to males 35+. Based on theme maturity, pacing, complexity, genre, and production style. Higher = stronger appeal.
Older Women
28
How strongly this title appeals to females 35+. Based on drama elements, character complexity, genre, cast, and emotional themes. Higher = stronger appeal.
Advocacy0
Entertainment

Audience Representation

White
1
Measures deviation from the expected White representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Black
26
Measures deviation from the expected Black representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Hispanic
28
Measures deviation from the expected Hispanic representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Asian
38
Measures deviation from the expected Asian representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
South Asian
46
Measures deviation from the expected South Asian representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Middle Eastern
48
Measures deviation from the expected Middle Eastern representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Indigenous
48
Measures deviation from the expected Indigenous representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Mixed
42
Measures deviation from the expected Mixed representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
Other
48
Measures deviation from the expected Other representation based on this title's production origin. 50 = baseline for its country. Higher = more representation than typical.
LGBTQ+
0
LGBTQ+ representation score based on character centrality, cast percentage, lead representation, and source fidelity. 0 = no representation, 100 = central to the story.
Score version: v1Data confidence: 45%How are scores calculated?


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