EventLoom
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Product analytics with supporting context

Your funnel says where.
We reveal why.

One investigation surface for behavior, identity, device context, errors, and performance. Trace a conversion drop to the users and technical conditions behind it, then act with evidence.

Start free Explore the platform
Web SDK ready, native planned Minute-level signals 7-day raw retention
Signal freshness
Minute-level
Raw data window
7 days
Deployment
Cloudflare edge
Productionactivation · last 7 days
Observed changeAndroid activation fell 11.6 pts
Needs attention
1

App opened18,420 users

100%
2

Onboarding started13,276 users

72.1%
3

Account created9,841 users

74.1%
Evidence briefAPI timeouts coincide with most of the drop.

Android 14 users on cellular networks see 2.8× more timeouts during account creation.

High confidence

One product truth, woven from every signal.

PAGE & SCREENCLICK & ACTIONUSER CONTEXTERROR & PERFORMANCE

The missing layer

Dashboards show symptoms. EventLoom assembles the case.

QuestionTraditional analyticsEventLoom
Where did users leave?Funnel step and rate Step, path, and exit destination
Who was affected?Manual segment building Country, device, OS, release, network
Why did conversion fall?A separate error tool Error and performance evidence inline
What should we fix first?Interpret it yourself Ranked advice with confidence and sources

A complete investigation path

From “what changed” to “what should we fix.”

Analytics stops being useful when behavior and technical quality live in separate tools. EventLoom keeps them connected.

01
Understand behavior

Journeys, funnels, retention, and exits.

Measure page visits, button actions, downloads, uninstall signals, and ordered conversion without losing the path between them.

02
Know the audience

Every metric can explain who it represents.

Compare country, region, device, operating system, release, and network conditions across the same behavioral analysis.

US 34%Android 14 28%Cellular 19%
03
Connect quality

Test whether errors explain the drop.

Group failures, identify affected users, and correlate device or network compatibility with the exact funnel step that changed.

api_timeout1,284 affected users2.8×

AI that cites its work

Recommendations backed by visible evidence.

EventLoom’s agent does not invent growth advice. It points to the segment, error group, release, and conversion delta behind every recommendation.

  • Prioritized optimization opportunities
  • Explicit confidence and affected users
  • Supporting segments one click away
Evidence brief Updated 2 min ago

Reduce account creation timeouts on Android cellular sessions.

The affected segment shows a 7.4 to 10.2 point activation gap. Validate the impact with a targeted fix or release comparison.

Affected users
1,284
Confidence
High
Evidence
4 signals

One integration session

From first event to first answer.

Connect a source, validate the stream, define the actions that matter, and investigate. No warehouse project is required before the product team can learn.

01

ConnectInstall the Web SDK and send your first event.

02

VerifyWatch source health and live event delivery.

03

ModelName events and assemble conversion funnels.

04

ImproveFollow evidence from drop to recommended fix.

checkout.ts
import { createEventLoom } from "@event-loom/web";
const analytics = createEventLoom({ writeKey: "el_live_••••••••", });
analytics.track("checkout_started", { plan: "pro", value: 60, });
Receiving events42 / min

One truth, every discipline

Stop handing the investigation between tools.

PRODUCT

Measure the path

Funnels, journeys, exits, retention, downloads, and uninstall signals.

Behavior connected
ENGINEERING

Diagnose the friction

Error groups, releases, device compatibility, networks, and performance.

Quality connected
LEADERSHIP

Prioritize the fix

Impact, confidence, affected users, and evidence in one decision brief.

Recommendation connected

Built on Cloudflare

Ingestion close to every user. Analysis ready within minutes.

Edge runtime
Global Workers network
High-volume path
Queues, R2, Analytics Engine
Tenant control
Product-scoped roles and keys
Data posture
7-day raw retention by default
Isolated product access Report exports planned Non-blocking ingestion

Before you connect

Clear answers, before the first event.

What can EventLoom track?

Page and screen views, custom actions, button clicks, downloads, app lifecycle signals, errors, performance, and user context. Your team controls event names and tracking locations.

Does it support Web and native apps?

Yes. The product model supports Web, iOS, Android, and server-side sources within the same workspace.

How quickly does data appear?

The initial product target is minute-level availability, with live source health for integration verification.

How are recommendations supported?

Each recommendation cites its supporting segment, error group, release, conversion delta, and confidence. Correlation is labeled clearly until an experiment or release comparison verifies impact.

Simple initial plan

Start with the complete signal.

Core product analytics, user context, error evidence, and AI-ready analysis in one monthly plan.

Basic monthly$60 USD / month
  • Web and app products
  • Minute-level analytics
  • Team roles and access
  • 7-day raw data retention
Start free Billing activation is coming in phase two.

Follow the whole signal

Find the drop. Investigate the cause. Fix what matters.

Start with one product and reach your first evidence-backed answer in a single integration session.

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