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Engagement ModelE-commerce

Analytics Platform Migration

We help e-commerce companies migrate from expensive SaaS analytics (like GA4 360 or Amplitude) to self-hosted Umami. The result: full data ownership, zero sampling, and significantly lower analytics costs.

This engagement model illustrates our approach, methodology, and typical outcomes for this type of project.

Scenario

E-commerce company with 500K monthly sessions

Industry

E-commerce

Team Size

10-15 person marketing team

Typical Duration

4-6 weeks typical

Expected Outcomes

Typical outcomes for this type of engagement based on our methodology.

Higher

Tracking Accuracy

Ad-blocker bypass restores missing sessions

100%

Data Ownership

No third-party consent dependency

Lower

Analytics Cost

Self-hosted eliminates per-seat and per-event pricing

None

Data Sampling

Unsampled data at any traffic volume

The Challenge

The Problem

Many growing e-commerce companies hit a wall with SaaS analytics: data sampling degrades reporting accuracy above certain traffic thresholds, per-seat pricing punishes growth, consent-mode changes create blind spots in key markets, and raw data access requires expensive add-ons. Ad-blocker suppression means a significant percentage of visitors are invisible to analytics.

Our Approach

How We Solve It

A self-hosted Umami instance deployed on existing VPS infrastructure provides zero data sampling, full data ownership, no third-party consent dependencies, and server-side collection to bypass ad blockers. All events are accessible through dashboards and APIs without additional costs.

Typical Approach

Analytics audit documenting essential events and dashboards
Infrastructure deployment on VPS with Docker
Event migration preserving custom data properties and segments
Server-side tracking endpoint configuration for ad-blocker bypass
Parallel run comparing old and new platform data accuracy
Team training and dashboard reconstruction

Typical Timeline

Actual timelines vary based on scope and complexity.

1 week

Analytics Audit

Document essential events and critical dashboards

1 week

Infrastructure Deployment

Deploy Umami on VPS with automated backups and monitoring

1 week

Event Migration

Recreate all events preserving custom data properties

1 week

Server-Side Collection

Configure first-party tracking endpoint

2-3 weeks

Parallel Validation

Run both platforms simultaneously comparing accuracy

1 week

Cutover and Training

Team training, dashboard reconstruction, old platform decommission

Technologies We Use

UmamiDocker ComposeHetzner VPSS3-compatible storageUptime Kuma

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