How Verdant Commerce Took Back Their Analytics Data
Verdant Commerce migrated their entire web analytics from Google Analytics 4 to self-hosted Umami. The migration eliminated data sampling, restored visibility into European traffic lost to consent changes, and reduced analytics infrastructure costs by over $14,000 annually. Within 90 days, the marketing team reported a 22% improvement in event tracking accuracy.
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
12-person marketing team
Typical Duration
5 weeks
Expected Outcomes
Typical outcomes for this type of engagement based on our methodology.
+22%
Tracking Accuracy
Ad-blocker bypass restored 18-22% of previously invisible sessions
100%
European Visibility
Restored from ~70% after consent changes eliminated the blind spot
$14,232
Annual Savings
From $14,400/yr (GA4 + BigQuery) to $168/yr (self-hosted Umami)
Minutes
Report Turnaround
Down from 2-5 days by eliminating the SQL bottleneck
The Problem
Verdant's relationship with GA4 had deteriorated across multiple dimensions. Data sampling destroyed confidence: pulling the same report twice produced different numbers, making $62,000/month in ad spend decisions unreliable. When Google updated consent defaults for European users, Verdant lost visibility into 30% of their UK and German traffic overnight — a $2.3M revenue segment went dark. Raw data access required a $1,200/month BigQuery export that only two people could query, creating a bottleneck that stretched optimization cycles from days to weeks. Internal testing showed 18-24% of visitors were invisible due to ad blockers suppressing client-side tracking. The cumulative effect: a marketing team that had lost faith in its own data, with performance reviews devolving into debates about accuracy rather than strategy.
How We Solve It
A self-hosted Umami instance deployed on existing VPS infrastructure addressed each pain point: zero data sampling at any volume, no third-party consent dependencies, full data access through dashboards and API without BigQuery, and server-side collection routing through a first-party endpoint to bypass ad blockers. The five-week engagement included analytics audit, infrastructure deployment, event migration, parallel validation, and team training.
Typical Approach
Typical Timeline
Actual timelines vary based on scope and complexity.
Analytics Audit
Documented 31 essential events and 14 critical dashboards from 47 configured events
Infrastructure Deployment
Deployed Umami on VPS with automated backups and monitoring
Event Migration
Recreated events preserving custom data properties; fixed misconfigured Add to Cart event
Server-Side Collection
Configured first-party tracking endpoint; validated against 5 major ad-blocker extensions
Parallel Validation
Ran both platforms simultaneously; documented discrepancies and root causes daily
Cutover and Training
Two half-day training sessions; rebuilt all dashboards and automated reports
Technologies We Use
Measured Results
Outcomes measured at 90 days post-engagement.
| Metric | Before | After | Impact |
|---|---|---|---|
| Event tracking accuracy | Baseline | +22% | Ad-blocker bypass restored missing sessions |
| European traffic visibility | ~70% | 100% | No third-party consent dependency |
| Monthly analytics cost | $1,214 | $14 | -$1,200/month |
| Data sampling | Frequent | None | Unsampled at any volume |
| Custom report turnaround | 2-5 days | Minutes | Eliminated analyst bottleneck |
| Campaign optimization cycle | 7-10 days | 2-3 days | Faster decisions |
Before
$14,400/year (GA4 + BigQuery)
After
$168/year (self-hosted Umami)
Annual Savings
$14,232
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