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For teams building on Firebase

Firebase ships the events.
Augmeta ships the answer.

The always-on RCA layer for apps instrumented through the Firebase SDK. Plug in your BigQuery export — Augmeta watches every KPI and tells you why it moved before anyone opens Looker.

Google BigQueryBigQuery-nativeGA4 + Crashlytics + Remote ConfigGo-live in a day
FIREBASE EVENTS · LIVEstreaming
screen_viewproduct_detail · iOS 17.4
add_to_cartsku_TILE-91204 · $128
begin_checkoutguest · es-ES
app_exceptionPaymentVC.swift · L412
11×
AUGMETA · CAUSAL RCA
CHECKOUT · iOS 17.4 · ES92%
Checkout drop on iOS 17.4 in Spain
app_exception spiked 11× on PaymentVC after Remote Config rollout 4h ago. Begin_checkout still firing — purchase isn't.
Est. $24k/day at risk · routed to iOS lead
The gap above the SDK

Firebase tells you what.
Augmeta tells you why.

The events stream cleanly. The dashboards render. Then a KPI moves and someone has to write SQL. Augmeta is the layer that closes that loop.

FIREBASE / GA4 ANSWERS

What happened in the app.

How many users started checkout yesterday?
event count
Which screens has the iOS cohort viewed?
event params
What's the funnel from add_to_cart → purchase?
funnel report
Did the new build crash for anyone?
crashlytics
Did variant B beat A on conversion?
a/b testing
AUGMETA ANSWERS

Why your KPI moved — and what to do.

Checkout fell 8% — which cohort, which build, what changed?
root cause
Is this drop big enough to page someone, or noise?
decision-grade
Which Remote Config rollout broke iOS in Spain?
change attribution
Is this Crashlytics spike actually moving revenue?
revenue impact
Variant B won — which segments should we roll it to next?
next action
How it slots in

No new SDK. No ETL. No extracts.

Augmeta reads what your apps already emit. Connect the BigQuery export your Firebase project is writing to, point us at the KPIs that matter, and we go live in a day.

AUGMETA · CAUSAL RCA LAYER
Always-on triage, decision-grade narratives, next-action routing.
Reads only — never writes.
DATA PLANE
Firebase → BigQuery export · GA4 Data API
Google BigQueryBigQuery ExportGoogle AnalyticsGA4 Data APIGoogle CloudCloud Logging
FIREBASE · YOUR PRODUCTS (UNCHANGED)
Analytics
events · funnels
Crashlytics
crash · ANRs
Remote Config
rollouts · flags
A/B Testing
experiments
Performance
latency · traces
Cloud Messaging
push · in-app
The pairing

Every Firebase product, gets a co-pilot.

Augmeta isn't a Firebase replacement. It's the analyst layer that turns each Firebase product's raw output into a decision.

FIREBASE · EVENTS
Firebase Analytics
Captures every screen view, conversion event, and user property your app emits.
AUGMETA · THE PLAY
Watches every KPI built from those events 24/7 — finds the cohort, build, and change that moved it.
→ Root cause in minutes, not a dashboard hunt.
FIREBASE · CRASHES · ANRS
Crashlytics
Surfaces crashes and ANRs by build, device, and OS.
AUGMETA · THE PLAY
Joins crash signals to revenue impact — so you know which crash is actually killing checkout, not just which one is loudest.
→ Triage paged by $ at risk, not crash count.
FIREBASE · FLAGS · ROLLOUTS
Remote Config
Ships server-driven config and percentage rollouts without an app update.
AUGMETA · THE PLAY
Attributes KPI moves to the exact rollout window — catches bad config the moment its cohort starts diverging.
→ Rollback decision before the rollout reaches 100%.
FIREBASE · EXPERIMENTS
A/B Testing
Runs experiments on Firebase configs and notifications.
AUGMETA · THE PLAY
Reads the experiment outcome, identifies which segments lift hardest, and recommends the next rollout cohort.
→ "Variant B won. Roll to Android tablet next." Done.
FIREBASE · LATENCY · TRACES
Performance Monitoring
Measures startup time, render latency, and network trace duration.
AUGMETA · THE PLAY
Correlates latency regressions to revenue KPIs — so a P95 jump that doesn't hurt conversion stays in the eng queue.
→ Latency tickets ranked by funnel impact.
FIREBASE · RAW EVENTS
BigQuery export
Streams every event into your warehouse for SQL analysis.
AUGMETA · THE PLAY
Reads your export in-place — no copies, no ETL — and registers KPI definitions on top so your team stops re-deriving them.
→ One source of KPI truth across product, growth, finance.
A day in the feed

What lands in your Augmeta feed.

A stylized cut of one day's findings on a Firebase-instrumented retail app — each one a decision someone can act on, not another chart to read.

KPIWHEN · WHEREΔROOT CAUSEROUTED TO
GAP CLOSING
% begin_checkout → purchase
iOS · es-ES
07:42 · last 4h
−8.1pp
Remote Config payment_v3 rollout hit 25% — PaymentVC crash on iOS 17.4
crashlytics: 11× spike on PaymentVC.swift:412
iOS lead
LIFT FOUND
generate_lead rate
store_locator users · Android
09:18 · 24h
+18.2%
Users who hit store_locator → schedule_consult convert 3.4× baseline
segment lift sustained 14d · 84% confidence
Growth
GAP CLOSING
app_remove (D1)
Android · GMS install
11:05 · last 6h
+4.6pp
New onboarding A/B variant requires location permission upfront
firebase_exp_15 · Android 12+ cohort · −6.1pp ATC downstream
Product
GAP CLOSING
PDP → add_to_cart
iPad · tile category
13:30 · 12h
−2.3pp
Performance: PDP image render P95 spiked from 480ms → 2.1s post-CDN swap
perf monitoring: image_load trace · 78% confidence
Platform eng
LIFT FOUND
in_store_pickup conv.
iOS · Sun afternoons
14:18 · trailing 28d
+5.4pp
Users who see "ready in 1hr" badge above fold pick up 5.4pp more often
rec: default-on for sku categories with stock > 8 · 81% confidence
Merch
What you're thinking

The honest answers.

We've sat across the table from enough Firebase teams to know which objections come up first. So we lead with them.

GA4 Explorations
"Can't our analyst just run GA4 Explorations or a BigQuery query?"
They can — and they will, every time a KPI moves. That's the loop we shorten. Augmeta runs that investigation continuously, on every KPI, before someone has to ask. Your analyst goes from running the query to reviewing the answer.
Product analytics
"How is this different from Mixpanel / Amplitude / Heap?"
Those are dashboards you have to drive. Augmeta is the layer above any dashboard — causal, decision-grade, action-oriented. Most of our customers keep their PA tool. We do the "why did this move" pass on top.
In-house build
"We have dbt and a BI team. Why not build this ourselves?"
You can. The honest version is two engineers for nine months, and you end up with anomaly alerts — not causal explanations. The causal layer (cohort isolation, change attribution, confidence scoring) is what we do full-time.
Data sensitivity
"Are you copying our user data out of BigQuery?"
No. Query-in-place on a read-only, scoped service account. No extracts, no copies, nothing leaves your project. Posture and vendor pack are on the /security page.
The pilot

Go-live in a day.
Expand by configuration — not implementation.

Augmeta deploys in days, not quarters. No data movement, no platform team commitments — just read-only access and a short list of KPIs to start watching.

Scope your pilot
01
Connect
Plug into your sources.
Read-only. No ETL.
02
Configure
Register the KPIs that matter.
Definitions, ownership, policy.
03
Go liveLIVE · Day 1
Always-on RCA on.
Monitoring and weekly narratives, live by end of day one.
04
OptimizeOngoing
Tune to your operating model.
Expand sources, KPIs, and policies as trust grows.
Security & posture

Production-ready
from day one.
By design.

Built for the security review you'd send your most paranoid vendor through. Reviewed and deployed inside Fortune 500 environments.

Trust center & vendor pack
SOC 2 Type II — in progress
Audit underway. Vendor pack available on request.
Read-only by default
Scoped, revocable per source. Augmeta never writes to your warehouse.
No data movement
Query-in-place. No extracts, no copies.
SSO & RBAC
SAML / OIDC, fine-grained roles, org-isolated multi-tenancy.
Book a call

30 min with the founders.

We come prepared. The agenda is yours — your KPIs, your team, where today's tooling falls short. If there's a fit, we'll show you exactly where Augmeta slots in.

Augmetaaugmeta30 MIN · VIDEO CALL