MIWEBXDigital Growth & Marketing
Marketing analytics & conversion optimization
Measurement first, then experiments against a baseline.
What it is
Event tracking, dashboards and reporting on one definition of a conversion — followed by structured A/B and UX experiments on the pages that carry the money.
Why businesses need it
Nobody can argue with a number they do not trust. Correct measurement turns marketing opinions into decisions, and small page gains compound.
What MIWEBX delivers
- Event and conversion model agreed and instrumented
- Dashboard build with channel and funnel views
- Funnel and session analysis to find the leaks
- Experiment backlog ranked by expected impact
- A/B and multivariate tests with readouts
Core features
- One metric definition, documented, used everywhere
- Data-quality checks before any conclusions
- Statistical significance and sample-size discipline
- Qualitative review alongside the numbers
- Readouts that record what was learned, not just won
Technical capabilities
- Conversion definitions written once, then enforced in the event schema
- Each event checked against live traffic in the browser, not only in the tag report
- Consent mode, data retention, currency and internal-traffic filters set up front
- Server-side container so platform tags and the warehouse see the same payload
- Funnels modelled as SQL against one table, so a definition is not re-derived per report
- Monitoring jobs that alert on missing events and schema drift
- Experiment arms sized by power calculation, with randomisation and sample-ratio checks in the readout
How we build it
- Agree the metric definitions and the funnel boundaries.
- Instrument the events, then verify them against real traffic.
- Build the dashboards from the verified source only.
- Analyse funnels and sessions to name the specific leaks.
- Rank the experiment backlog by evidence and effort.
- Run each test to its planned size and publish the readout.
Technology stack
- Google Analytics
- Google Tag configuration
- Google Optimize-style A/B tooling
- BigQuery / SQL
- PostgreSQL
- Python
- Looker Studio
What you receive
- Tracking plan and implemented events
- Live dashboard with access handed over
- Funnel analysis with named leaks
- Experiment backlog and the tests run from it
- Readout per test with the decision it changed
Business benefits
- Decisions made on trusted numbers
- More revenue from traffic already paid for
- Budget defended with evidence
- A measurement habit the team keeps