Party.Camera

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13
Cohorts Documented
Sep 2024 – Mar 2026
50%
Median Convert Rate
guest → host
75%
Highest Convert Rate
Tristan · Julesy
115+
Total Cameras
across all 13 studies
01 · Cohort Case Studies

Each cohort is a story of one flywheel turning.

Click any card to open the full case study — social graph, camera timeline, people, signals.

Nicky · Bar & Music Scene · Jul 2024 – Sep 2025
Earliest Organic Adopter: Bar Nights, July 4th, Balloon Glow
Our earliest documented flywheel. Nicky discovered the app in summer 2024 and built a consistent bar & music circuit over 14 months.
Cameras
14
Convert
33%
Span
14 mo
Tristan · Kerstavond (Christmas Eve) · Dec 2024
One Christmas Eve Camera, 75% Convert — Dutch Holiday Flywheel
Tristan hosted 3 cameras in December 2024, anchored by a Kerstavond camera. One holiday night seeded three new hosts — Annie same-day, John in 7 days, Stevie in 34.
Cameras
3
Convert
75%
Span
Dec 2024
Agnes · Australian + Brazilian Events · 2024–2025
Womadelaide to Festa Junina: 50% Convert, 3 Continents
One of the most geographically distributed cohorts. Agnes's social graph spans Australia, Brazil, and Europe across 12 cameras and a full year of events.
Cameras
12
Convert
50%
Span
13 mo
Julesy · Weekend Nights · 2024 + 2026
3 Cameras, 75% Conversion — Simplest Flywheel in the Dataset
Julesy's cohort is the cleanest flywheel in the dataset. Minimal cameras, maximum conversion rate — a textbook demonstration of the guest-to-host mechanic.
Cameras
3
Convert
75%
Span
Nov '24 + Mar '26
Lily · 13th Birthday Party · Jun 2025
12 Guests, 4 Converted: The Teen Birthday Use Case
Lily's birthday party seeded 4 new hosts from a single event. Documents the product's reach into the younger demographic and the birthday use case.
Cameras
7
Convert
33%
Span
May – Jun '25
Yen · Travel Diaries · Summer 2025
The Travel Use Case: Russia to China, 67% Convert
Yen used Party.Camera across international travel — documenting its utility well beyond domestic social events. 67% guest-to-host conversion over 6 cameras.
Cameras
6
Convert
67%
Span
Jun – Jul '25
Juli · Girls Night Circuit · 2025
GNO, Birthday Parties, 60% Guest-to-Host Rate
Juli's cohort is centered on recurring girls night out events and birthday parties. 60% conversion rate across 7 cameras — one of the strongest in the dataset.
Cameras
7
Convert
60%
Span
Jun – Dec '25
Bee · Wedding + Events Circle · 2025
The Wedding Use Case: 3 Cameras, 9 Guests, 56% Convert
Bee's cohort demonstrates the wedding vertical — our highest-converting event type at 62.4% product-wide. 56% guest-to-host from a tight 9-person social circle.
Cameras
3
Convert
56%
Span
Sep – Dec '25
Will · Beach + Concert Run · 2025
Folly Beach to Dua Lipa: 50% Convert, 4 Active Hosts
Will's cohort tracks an arc from summer beach trips to concerts — 6 cameras seeding 4 active hosts across outdoor events and live music.
Cameras
6
Convert
50%
Span
Aug – Oct '25
Laura · Beach Trips & Party Circuit · 2025
The Cluster Origin: Beach Weekends, Concerts, 50% Convert
Laura's cohort is the origin of a wider social cluster — her converts went on to seed their own flywheels. 10 cameras, 50% conversion, Aug 2025 – Jan 2026.
Cameras
10
Convert
50%
Span
Aug '25 – Jan '26
Vienna · Dutch Party Network · 2025–2026
12 Cameras in All Caps — and Connor Is One of the Converts
Vienna's Dutch social network generated 12 cameras over 5 months. Notable for dense social graph interconnections and cross-pollination with Tristan's cohort.
Cameras
12
Convert
50%
Span
Aug '25 – Jan '26
Jaclyn · Social Circle · 2025–2026
Party Scenes, Concerts, and the Tightest Cohort
Jaclyn's cohort is notable for its density — 9 cameras, 42% conversion, and the most tightly interconnected social graph in the dataset.
Cameras
9
Convert
42%
Span
Oct '25 – Feb '26
Ayç · Istanbul Social Circle · 2024–2025
Saturday Nights to New Year: A Turkish Flywheel
Ayç's cohort tracks Party.Camera adoption across Istanbul's nightlife scene — 13 cameras from Sep 2024 through Nov 2025. International expansion data point.
Cameras
13
Convert
33%
Span
14 mo
All cohorts are anonymized. First names are real; surnames, locations, and identifying event details have been modified or omitted. Camera timestamps, photo counts, and conversion timing are real CloudKit data.