FFIREPING / FIELD REPORT
The question 01 / 15

FirePing analytics / 30 days ending 12 August 2026

From attention
to protection.

What Plausible, PostHog and the product database tell us about acquisition, map utility, activation and alert value.

The central finding

People understand and use the map. The largest loss happens before account creation—not during setup.

Scroll to explore

01 / Executive signal

The map already
delivers value.

FirePing is not struggling to explain the immediate product. It is struggling to turn public utility into durable protection.

13,467visitors / 30 days
86.8%loaded the map
31.9%performed a fire lookup
9%map-entry bounce

02 / The conversion gap

A healthy public experience.
A severe pre-account loss.

1.17%

rough visitor → verified conversion

03 / Acquisition

Search sustains.
Facebook surges.

Organic search is the dependable engine. Facebook creates sharp, incident-led waves with high signup intent.

Visitors by channel · last 30 days
Organic search7,033 52%
Direct4,967 37%
Social1,436 11%

Facebook accounts for 1,405 of 1,436 social visitors.

04 / Incident-driven demand

Traffic follows the fire.

915visitors

Calabria, Italy

592 from Facebook · 756 visitors from Italy

1,333visitors

Gironde, France

560 from France · 550 direct · search also strong

519visitors

United Kingdom

208 from Facebook · 309 visitors from the UK

Evidence limit: coordinates reveal the incident region; Facebook obscures the exact shared post and events lack a stable fire ID.

05 / Audience geography

A global audience
that moves with risk.

The “core market” is not static. Incident location can reshape the audience within hours.

Share of visitors · last 30 days
UK19.9%
France17.8%
US17.3%
Italy13.2%
Germany6.3%

The UK rose to 37.1% in the latest seven days.

06 / Map comprehension

People do not merely land.
They explore.

86.8%

load the map

34s

median to first lookup

58s

median map engagement

146s

average map-entry visit

“The immediate proposition is understood.”

07 / Mobile reality

Mobile is healthy—
except where the browser says no.

01

58–63% of use is mobile. Fire and signup rates are slightly better than desktop.

02

Interaction responsiveness is weaker: 272ms mobile INP p75 vs 200ms desktop.

03

19 users hit unsupported push; 11 repeatedly clicked “Enable Push Notifications”.

Fix capability messaging—not mobile map fundamentals.

08 / What people find

Most lookups find
no active detection.

That is not failure. It is a high-intent moment: “nothing detected now—monitor this area for me.”

35.4%found ≥1 detection

2.5%of zero-result lookups used the monitor CTA

09 / Intent signals

A small group explores deeply.

24-hour mode95.4%
Timeline mode4.6%
6.5%

of timeline sessions reached verification—roughly 2–3× ordinary lookup sessions.

Correlation, not causation: timeline users may simply arrive with stronger intent.

10 / Activation after signup

Once inside, setup works.

Do not spend the next cycle rebuilding onboarding. Improve the reason to begin it.

11 / Alert value

Protection is broader
than push metrics imply.

Only 70 users have web push, but email means 236 verified users have both an enabled location and an active delivery path.

Known

Eligibility

We can authoritatively measure enabled locations, active delivery channels and generated alert events.

Partial

Delivered value

Alert records show that value occurs. Open, click-through, usefulness and noise are not fully connected end-to-end.

Unknown

First-alert effect

We still need a clean cohort study: first alert received → return, retention and settings maintained.

12 / Measurement limits

The most useful missing field
is a stable fire identity.

  • Fire/entity ID

    Cannot rank incidents or prove repeated monitoring of one fire.

  • Severity + distance

    Cannot compare signup intent by FRP, proximity or perimeter.

  • Panel interactions

    Cannot tell whether people value FRP, rows, coordinates or timestamps.

  • Alert lifecycle

    Cannot cleanly connect generated → delivered → opened → returned.

  • Identity linkage

    Historical anonymous-to-account journeys remain imperfect.

  • Contribution maturity

    Not enough established contribution data to optimise prompts responsibly.

13 / Product priorities

Where to invest next.

  1. 01

    Convert high-intent map moments

    Strengthen the contextual route from a viewed incident—or a zero result—to monitoring that area.

    Highest leverage
  2. 02

    Instrument fire identity and alert outcomes

    Add stable entity IDs, severity, distance and the delivered/opened alert lifecycle.

    Enables learning
  3. 03

    Remove push dead ends

    Detect unsupported browsers early and lead with email as the dependable default.

    Low effort
  4. 04

    Earn retention and contributions after value

    Measure the first-alert cohort; ask for support only after useful information or protection has been delivered.

    Then monetise

The decision

Do not redesign
what already works.

Make the path from “I’m checking a fire” to “tell me if risk changes” feel like one natural action.

Restart ↑