Data Appendix

Data Deep Dive

Detailed analytics across feature adoption, beach behaviour, demographics, and platform infrastructure — companion to the Stakeholders Report.

24 Rounds of Analysis 62 Database Tables 15 Slides March 2026

01 — Safety Impact

Feature Adoption & Safety Value

Beachsafe actively protects beachgoers through alerts, education, and community reporting.

359K

Hazard Alerts Sent

High surf, stingers, sharks

385K

Status Alerts Sent

Beach open/close

~2K

Safety Learners / Month

Rips, flags, marine creatures

312 hrs

Engagement / Month

= 13 continuous days

Swimmer Safety Data

12.17MSwimmers tracked via Operations app 4.97MSwimmers recorded outside flags (41%) 47.8MTotal beachgoer visits recorded 315Beaches with live attendance data

Content & Engagement

374Video starts/month, 41% completion 1,236Outbound link clicks per day 139sAvg time on surf safety pages 10Beaches with video (all SA webcams)

Safety Impact
4.97 million swimmers outside the flags — 41% of all recorded swimmers. This single statistic demonstrates why the platform matters. WA has the worst compliance at 56.8%, with City Beach recording 519,892 swimmers outside flags.

Source: notifications, attendances, GA4 · Data: Nov 2021 – Jan 2026

02 — BluebottleWatch

BluebottleWatch & Algal Bloom

The feature that drove Beachsafe's 2025 breakout — automated monitoring across 52 SA beaches.

7,067

Bloom Reports

Since Oct 2025

52

SA Beaches Monitored

35x

Engagement Multiplier

vs beaches without widget

20

Dedicated Admin Users

Launch Impact — Month by Month

Month	Bloom Reports	New SA Users
Sep 2025	0	19
Oct 2025	1,266	1,276
Nov 2025	1,717	625
Dec 2025	3,511	1,102

Bloom reports and user registrations track almost 1:1 in October. Feature launch = user surge.

Engagement Multiplier

Beaches with algal bloom widget:
60.1 avg followers

Beaches without widget:
1.7 avg followers

All top 10 algal bloom beaches are in SA. ~1,000 automated reports per day, perfectly uniform.

Source: algal_bloom_metrics, users · Data: Oct 2025 – Jan 2026

03 — Community

Lifeguard Field Observations

133,235 patrol observations from surf lifesavers and professional lifeguards — the operational backbone of beach safety data.

133,235

Total Observations

4.6x

Weekend vs Weekday

Volunteer patrol days

26,882

Dec Peak (Monthly)

141

Reports / SLS Club

vs 65 / pro lifeguard

Two Parallel Systems

Beach Monitoring Coverage

SLS Volunteers

82% wknd Pro Lifeguards

79% wkday

SLS volunteer clubs dominate weekends (22.1M beachgoers). Professional lifeguards dominate weekdays (16.5M). Together they cover the full week.

Top Reporting Entities

Entity Records Swimmers Cambridge Roving24,293886K Cottesloe Lifeguards15,818777K City Beach Lifeguards12,386235K Byron Bay Lifeguards6,480258K

Reporting peaks in the evening — lifesavers log conditions at end of shift, not start. Zero observations before midday.

Source: beaches_posts, entities · Data: Nov 2021 – Jan 2026

04 — Seasonality

The Seasonal Attendance Curve

A 58x summer-to-winter swing in daily beachgoers — January is when Beachsafe matters most.

Average Daily Beachgoers by Month

Jan110K

Feb55K

Mar41K

Apr18K

May1.9K

Jun1.9K

Jul1.9K

Aug1.9K

Sep7K

Oct21K

Nov40K

Dec69K

January 2022–2025 average. Jan 3.95M total swimmers vs May 68K — a 58x swing.

347K

New Year's Day

#1 beach day

247K

Australia Day

362% of avg Jan day

204K

Christmas Day

170K

Boxing Day

148K

Easter Saturday

Source: attendances · Data: Jan 2022 – Jan 2026

05 — Beach Culture

Peak Hours & State Swimming Culture

Each state has a distinct beach personality — different peak hours, swim rates, and craft cultures.

Peak Swim Hour by State

State	Peak Hour	Swimmers	Swim Rate
WA	10:00 AM	595K	28%
NSW	12:00 PM	1.19M	24%
NT	11:00 AM	67K	79%
SA	3:00 PM	132K	18%
VIC	3:00 PM	4.6K	42%
TAS	11:00 AM	9.4K	33%

Peak hour nationally is noon (1.87M swimmers). WA swims early (10am), SA/VIC swim late (3pm).

Sunday Is Australia's Beach Day

Sunday has 36% more swimmers (3.4M) and 44% more beachgoers (14.7M) than Saturday. The weekend isn't equal — Sunday is peak beach day.

The Swim Ratio

NT

79% VIC

42% TAS

33% WA

28% NSW

24% SA

18%

NT: everyone's there to swim. SA: more walking/socialising. The swim ratio is constant at ~27% across all hours (8am–6pm).

Source: attendances · Data: Jan 2022 – Jan 2026

06 — Craft & Morphology

Craft Culture & Beach Types

5.53 million craft observations reveal each state's distinct beach identity — from Tasmania's kayakers to NT's pure swimmers.

Crafts per 100 Swimmers

TAS57

NSW48

VIC32

WA27

SA24

QLD10

NT4

TAS = Australia's craft capital. NSW = surfboard culture. NT/QLD = pure swimming.

Beach Types & Flag Compliance

Swimmers outside flags by beach morphology:

Low Tide Terrace

46% Reflective

45% Transverse Bar

41% Rhythmic Bar

30%

Low Tide Terrace and Reflective beaches have the worst flag compliance. Rhythmic Bar beaches are safest.

5.53M

Total Craft Obs

316%

Secret Harbour craft:swim

Source: attendances, beaches · Data: Jan 2022 – Jan 2026

07 — The Shift

From Sydney to Adelaide

The platform's geographic centre of gravity shifted dramatically in 2025.

2022 — Top 5 Beaches

1FreshwaterNSW 2Bondi BeachNSW 3Coogee BeachNSW 4Manly BeachNSW 5Dee Why BeachNSW

All Sydney. NSW dominated the early user base.

2025 — Top 5 Beaches

1Henley BeachSA 2Glenelg BeachSA 3Brighton BeachSA 4Semaphore BeachSA 5Port NoarlungaSA

All Adelaide. BluebottleWatch completely reshaped the platform's geography.

Key Insight
SA went from 0% to 72% of the Sep–Dec 2025 growth surge. Follow growth is completely decoupled from physical visits — SA follows grew +4,973% while beach attendance stayed flat. The Adelaide corridor: 44% of users follow 2+ nearby beaches.

Source: users, beach_user · Data: 2022 vs 2025 cohorts

08 — Data Richness

Data-Rich Beaches Drive Engagement

The strongest correlation in the entire dataset — more data means more users.

93x

Engagement Multiplier

Data-rich vs bare beaches

301

Data-Rich Beaches

Only 2.4% of 12,416

73.9%

Complete Static Data

But only 2.5% have operational

Engagement by Data Level

Average Followers by Beach Data Profile

Patrol+Attend+Follow120.3

11+ Facilities48.5

Patrolled2,117

0 Facilities2.8

Non-patrolled1.3

Patrolled beaches avg 2,117 followers vs 1.3 for non-patrolled — a 1,600x difference.

The Two-Tier Platform

Excellent Coverage (95%+)

UV stations: 99.9% • Tides: 100% • Radar: 100%
Description: 95.3% • Facilities: 95.6%

Critical Gaps

Followers: 22.8% • Attendance: 2.5%
Patrols: 3.7% • Video: 0.08%

Unengaged Beaches

77.1% of beaches (9,568) have zero followers, zero attendance, zero patrol data.

WA: 88% unengaged • NSW: 32% (best) • NT: 99%

Source: beaches, beach_user, attendances, patrols · Data: Nov 2021 – Jan 2026

09 — Conversion

Visitor-to-Follower Conversion

How efficiently beaches convert physical visitors into digital followers — and the gaps that represent opportunity.

Best Converters (per 10K Visitors)

Beach	State	Per 10K
Port Noarlunga	SA	47
Bondi Beach	NSW	25
Collaroy	NSW	22
Glenelg	SA	22
North Curl Curl	NSW	21

SA beaches convert nearly 2x better than NSW — driven by the algal bloom safety concern.

Worst Converters — Huge Gaps

Beach	Visitors	Followers	Per 10K
City Beach	4.28M	151	0.4
Cottesloe	2.34M	182	0.8
Byron Bay	1.30M	102	0.8
Dee Why	1.42M	434	3.0

City Beach WA has 4.28M visitors but only 151 followers. WA and tourist beaches don't convert.

Data Gap
10 popular beaches have zero attendance data but significant followers: Streets Beach QLD (309 followers, 0 records), Port Wilunga SA (263), Balmoral NSW (250), Noosa QLD (250). QLD data gap: Limsoc not integrated.

Source: beach_user, attendances · Data: Nov 2021 – Jan 2026

10 — Registration

The Ease Paradox

The easier the signup, the less engaged the user — friction filters for commitment.

Follow Rate by Registration Channel

Higher friction = higher engagement

Web (email)

87.9% App (email)

74.3% Facebook

69.2% Apple Sign-In

61.6%

Apple Sign-In (1 tap) = lowest engagement. Web email (most effort) = highest. Friction isn't always bad.

Seasonal Engagement

January users follow 2.01 beaches avg
May users follow 1.33 beaches avg
51% more engagement in peak summer

The Web-to-App Journey

52.8% Never install the app — web-only forever 46% Install same day as registration 1.2% Convert web → app later

Power Users
The 1.2% who convert later wait an average of 463 days but follow 4.4 beaches (nearly 2x the average). Late converters are deeply committed beach enthusiasts.

Source: users, beach_user · Data: Nov 2021 – Jan 2026

11 — Loyalty

State Loyalty & Multi-State Explorers

Users are hyper-local. 94% of SA users only follow SA beaches — the platform's value is "my local beaches."

Single-State Loyalty

SA

94.2% NSW

92.4% WA

88.7% VIC

86.0% QLD

77.7%

QLD is the most exploratory state — holiday destination effect.

NSW and SA are separate worlds — only 0.7% crossover (120 users follow beaches in both states).

Multi-State Explorers

1,288

2+ States

102

3+ States

5.2

Avg Follows

Multi-state users follow 2.3x more beaches than single-state (5.2 vs 2.3). They're the power users.

Biggest untapped segment:
8,958 NSW web-only followers — follow beaches but never installed the app. The single largest conversion opportunity.

6 users follow beaches in the Australian Antarctic Territory.

Source: beach_user · Data: Nov 2021 – Jan 2026

12 — Infrastructure

Platform Scale

A national beach data platform processing tens of millions of data points across 62 database tables.

14.9M

Database Rows

Across 62 tables

68.4M

Total Data Points

99.95%

API Success Rate

299x improvement in 14mo

Largest Tables

ADFD Weather (temp/wind)2.6M ea Laravel Pulse monitoring2.1M SLSA API logs1.16M Notifications745K Attendances474K Beach posts133K Media/images115K

Government Data Network

902BOM observation stations 709Tide ports (incl. 15+ Pacific nations) 40Weather radar stations 1,475Forecast locations 64Marine zones 1,282SLS entities (clubs + lifeguards) 16,340Postcodes for geo-targeting

100% beach-to-data connectivity: Every beach linked to UV stations (99.9%), tide ports (100%), and weather radar (100%). This government data infrastructure represents years of integration and is virtually impossible to replicate.

Source: All 62 tables, BOM, SLSA · Data: Nov 2021 – Jan 2026

13 — Completeness

Data Completeness Scorecard

Excellent static data coverage masks critical gaps in operational data — attendance (2.5%) and patrols (3.7%).

Coverage by Feature

Percentage of 12,416 beaches with data

Tides

100% Radar

100% UV

99.9% Facilities

95.6% Description

95.3% Followers

22.8% Patrols

3.7% Attendance

2.5% Video

0.08%

Unengaged Beaches by State

Beaches with zero followers, zero attendance, zero patrols:

State	Unengaged	% of Total
NT	1,474	99%
WA	3,084	88%
TAS	1,331	82%
SA	1,449	81%
QLD	1,440	80%
VIC	301	40%
NSW	450	32%

Only 3 beaches score 9/9 on data connectivity: Glenelg, Brighton, Semaphore (all SA). Bondi scores only 6/9.

10 popular beaches still missing images, including Henley (714 followers, #3 most followed nationally).

Source: beaches, facilities, patrols · Data: Nov 2021 – Jan 2026

14 — Device Health

Zombie Devices & True Active Count

61% of "enabled" devices are zombies older than 1 year — true active count is ~3,400, not 14,147.

14,147

Marked "Enabled"

8,664

Zombie Devices

61% — older than 1 year

~3,400

Truly Active

Active in last 3 months

95.4%

Same-Day Install (Oct+)

Fixed in v3.8.0

Device Age Distribution

Last 3 months

2,762 3–12 months

619 Zombie (>1 year)

8,664

Device creation waves mirror user growth waves perfectly — Oct 2025: 2,299 new devices.

Other Findings

8.5% of beaches have public transport access (1,050) — all top-followed beaches are transit-accessible.
784 users have switched phones (2 devices). 43 have 3+ devices — multi-device users are loyal.
Test data still in production: testbeachvic has 1,221 attendance records and 4 followers.

Recommendation
A device cleanup job that prunes tokens failing to deliver would improve notification metrics accuracy and reduce unnecessary push attempts to 8,664 dead endpoints.

Source: devices · Data: Nov 2021 – Jan 2026

Data Appendix

Key Takeaways

The data tells a clear story: richer beach data drives engagement, BluebottleWatch proved the model, and the platform's government data infrastructure is its competitive moat.

93x

Data-rich multiplier

4.97M

Swimmers outside flags

35x

Algal bloom multiplier

68.4M

Data points

Built by Nano Solutions • March 2026 • Data as of January 6, 2026

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