Franchise Drift

How franchise audiences shift from early entries to current ones.

13
Franchises Tracked
11
Stable
1
Significant
1
Severe
Toy StorySevere

Lost: Young Men · Gained: Older Women

Baseline
Young Men: 100
Young Women: 71
Older Men: 29
Older Women: 0
Current
Young Men: 56
Young Women: 60
Older Men: 40
Older Women: 45
John WickSignificant

Lost: Young Men · Gained: Older Women

Baseline
Young Men: 100
Young Women: 17
Older Men: 83
Older Women: 0
Current
Young Men: 68
Young Women: 48
Older Men: 52
Older Women: 32
Marvel Cinematic UniverseStable
Baseline
Young Men: 72
Young Women: 45
Older Men: 55
Older Women: 28
Current
Young Men: 69
Young Women: 48
Older Men: 52
Older Women: 31
Star WarsStable
Baseline
Young Men: 75
Young Women: 51
Older Men: 50
Older Women: 25
Current
Young Men: 66
Young Women: 51
Older Men: 49
Older Women: 34
Star TrekStable
Baseline
Young Men: 64
Young Women: 49
Older Men: 51
Older Women: 36
Current
Young Men: 61
Young Women: 50
Older Men: 50
Older Women: 39
BatmanStable
Baseline
Young Men: 64
Young Women: 51
Older Men: 50
Older Women: 36
Current
Young Men: 64
Young Women: 41
Older Men: 59
Older Women: 37
Fast & FuriousStable
Baseline
Young Men: 68
Young Women: 48
Older Men: 52
Older Women: 32
Current
Young Men: 68
Young Women: 48
Older Men: 52
Older Women: 32
Jurassic ParkStable
Baseline
Young Men: 62
Young Women: 56
Older Men: 45
Older Women: 38
Current
Young Men: 66
Young Women: 51
Older Men: 50
Older Women: 34
TransformersStable
Baseline
Young Men: 60
Young Women: 57
Older Men: 44
Older Women: 40
Current
Young Men: 60
Young Women: 54
Older Men: 46
Older Women: 41
Mission: ImpossibleStable
Baseline
Young Men: 62
Young Women: 56
Older Men: 45
Older Women: 38
Current
Young Men: 65
Young Women: 52
Older Men: 49
Older Women: 35
X-MenStable
Baseline
Young Men: 61
Young Women: 55
Older Men: 45
Older Women: 39
Current
Young Men: 67
Young Women: 48
Older Men: 52
Older Women: 33
Harry PotterStable
Baseline
Young Men: 69
Young Women: 51
Older Men: 50
Older Women: 31
Current
Young Men: 60
Young Women: 55
Older Men: 45
Older Women: 40
Lord of the RingsStable
Baseline
Young Men: 68
Young Women: 42
Older Men: 58
Older Women: 32
Current
Young Men: 66
Young Women: 43
Older Men: 58
Older Women: 35

Franchise drift asks whether a long-running series still appeals to the audience it started with. WhatSphere compares the audience profile of a franchise’s early entries against its current ones and rates how far the profile has moved, from stable through mild and significant to severe. The catalog currently tracks drift across 13 franchises.

The premise is simple: a franchise is an audience relationship that unfolds over years, and the demographic centre of that relationship can shift entry to entry. Measuring the shift directly — rather than inferring it from box-office noise — shows whether a series broadened its reach, narrowed it, or moved it toward a different group entirely.

How WhatSphere measures this

For each tracked franchise, a baseline audience profile is built from its early entries across the four core demographic quadrants — young men, young women, older men, older women — and compared against the profile of its current entries. The size and direction of the change determine the drift severity, and the model records which group the franchise primarily lost and which it primarily gained. Every figure here is generated by WhatSphere’s scoring model, not by a critic’s judgement. Scores describe who a title appears to be made for and how its content is composed; they are not ratings of quality, and a higher or lower number is never a verdict on whether a title is good.

What the data shows

The dominant pattern is stability. Of the 13 franchises tracked, 11 register as stable — their current entries still address broadly the audience their early entries did — while 2 show measurable movement, of which 2 reach the significant or severe band. In other words, dramatic audience drift is the exception in the tracked set, not the rule, which is a useful corrective to the assumption that long franchises inevitably abandon their original audiences.

The clearest example of movement is the Toy Story franchise, rated Severe, where the profile moved away from Young Men and toward Older Women. A single franchise moving is a fact about that franchise; it is reported as one case, not generalised into a trend about franchises as a class.

The four-quadrant baseline also makes the direction of a shift legible, not just its size. A franchise can move by broadening — picking up a new quadrant without shedding its original one — or by trading one audience for another, and those are very different events that a single severity number would blur. By recording which group was primarily lost and which primarily gained, the model keeps them distinct. It is worth adding that a shift in audience profile is not in itself evidence that a series improved or declined; it is a neutral description of who is watching, measured the same way at two points in the series’ life, and the reasons behind any movement are left for the reader to weigh.

Caveats and limitations

Drift is tracked only for franchises with enough scored entries to build a reliable baseline and a current comparison, so the tracked set is small and skews toward established, multi-entry series. The measure captures the demographic shape of a franchise’s audience, not why it shifted — a change can come from genre, casting, tone, timing, or simple audience ageing, and the score does not adjudicate among them. As more entries are scored, both the baselines and the severity ratings can update.

Why it matters

“This franchise left its fans behind” is one of the most common claims in fan discussion and one of the least often measured. A direct baseline-to-current comparison across the four core quadrants turns that claim into something checkable, and shows that stability is more common than drift in the tracked set. The titles linked below are entries from the tracked franchises; each one’s page shows where it sits in its series’ audience arc.

Titles in this analysis

Explore the data behind this analysis across 24 title pages.

Captain America: Brave New World (2025)Transformers One (2024)Star Wars Outlaws (2024)Deadpool & Wolverine (2024)Fast X (2023)John Wick: Chapter 4 (2023)Ant-Man and the Wasp: Quantumania (2023)The Marvels (2023)Guardians of the Galaxy Vol. 3 (2023)Transformers: Rise of the Beasts (2023)Black Panther: Wakanda Forever (2022)Doctor Strange in the Multiverse of Madness (2022)Fantastic Beasts: The Secrets of Dumbledore (2022)Jurassic World Dominion (2022)Star Wars: Tales of the Jedi (2022)Thor: Love and Thunder (2022)Star Trek: Strange New Worlds (2022)The Batman (2022)Eternals (2021)Shang-Chi and the Legend of the Ten Rings (2021)Spider-Man: No Way Home (2021)Black Widow (2021)F9 (2021)The New Mutants (2020)