Performance & Direction: I'm Tired of Waking Up Next to You Review
Last updated: February 7, 2026
Quick Verdict: Hit or Flop?
Is I'm Tired of Waking Up Next to You (2022) worth watching? According to our cinematic analysis, the film stands as a FLOP with a verified audience rating of 2.0/10. Whether you're looking for the box office collection, ending explained, or parents guide, our review covers everything you need to know about this Romance.
Cast Performances: A Masterclass
The success of any Romance is often anchored by its ensemble, and I'm Tired of Waking Up Next to You features a noteworthy lineup led by Natalia Alanis . Supported by the likes of Lizzy Auna and Fernanda Basurto , the performances bring a palpable realism to the scripted words.
Performance Analysis: While the cast delivers competent and professional performances, they are occasionally hampered by a script that leans into familiar archetypes.
Final Verdict: Is it Worth Watching?
Story & Plot Summary: I'm Tired of Waking Up Next to You
Quick Plot Summary: I'm Tired of Waking Up Next to You is a Romance film that explores the complexities of love and relationships with emotional depth and authenticity. This summary provides a scannable look at the movie's central conflict and narrative structure.
Ending Explained: I'm Tired of Waking Up Next to You
Ending Breakdown: I'm Tired of Waking Up Next to You attempts to tie together its various plot elements. The finale presents its approach to romance resolution.
The conclusion addresses the core thematic questions, offering viewers material for post-viewing discussion.
Ending Analysis:
- Narrative Resolution: The story concludes by addressing its primary narrative threads, providing closure while maintaining some ambiguity.
- Character Arcs: Character journeys reach their narrative endpoints, reflecting the film's thematic priorities.
- Thematic Payoff: The ending reinforces the romance themes established throughout the runtime.
The final moments of I'm Tired of Waking Up Next to You reflect the filmmakers' creative choices, offering an ending that aligns with the film's tone and style.
Who Should Watch I'm Tired of Waking Up Next to You?
Consider Watching If:
- You're a completist for Romance films
- You're curious despite mixed reviews
- You have low expectations and want casual entertainment
Top Cast: I'm Tired of Waking Up Next to You
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Where to Watch I'm Tired of Waking Up Next to You Online?
Streaming Hub🎟️ Rent on
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Amazon VideoI'm Tired of Waking Up Next to You Parents Guide & Age Rating
2022 AdvisoryWondering about I'm Tired of Waking Up Next to You age rating or if it's safe for kids? Here is our cinematic advisory:
⏱️ Runtime & Duration
The total runtime of I'm Tired of Waking Up Next to You is 92 minutes (1h 32m). Ensuring you have enough time for the full cinematic experience.
Verdict Summary
Analyzing the overall audience sentiment, verified rating of 2.0/10, and global performance metrics, I'm Tired of Waking Up Next to You is classified as a FLOP. It remains an essential part of the 2022 cinematic calendar.
Frequently Asked Questions
Is I'm Tired of Waking Up Next to You worth watching?
I'm Tired of Waking Up Next to You is definitely worth watching if you enjoy Romance movies. It has a verified rating of 2/10 and stands as a FLOP in our box office analysis.
Where can I find I'm Tired of Waking Up Next to You parents guide and age rating?
The official parents guide for I'm Tired of Waking Up Next to You identifies it as Not Rated. Our detailed advisory section above covers all content warnings for families.
What is the total runtime of I'm Tired of Waking Up Next to You?
The total duration of I'm Tired of Waking Up Next to You is 92 minutes, which is approximately 1h 32m long.
How I'm Tired of Waking Up Next to You Compares & Where it Ranks
Critic Reviews for I'm Tired of Waking Up Next to You
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movieMx Verified
This review has been verified for accuracy and editorial quality by our senior cinematic analysts.
This analysis is compiled by our editorial experts using multi-source verification and audience sentiment data for maximum accuracy.
