Selected work · Analytics · Data · Optimisation
Complex questions. Evidence-led answers.
Selected examples of the analytical, engineering and optimisation work behind EchoBridge Digital, drawn from experience across high-volume ecommerce and digital environments.
Some engagements are anonymised to respect client and employer confidentiality.
01Digital Analytics · Ecommerce
Enterprise Digital Analytics
Understanding digital performance requires more than reporting traffic and conversion. Our work examines how customers actually move through digital experiences, where behaviour changes and what those changes mean commercially.
Areas of work
- Customer journey analysis
- Ecommerce funnel analysis
- Checkout analysis
- Product discovery and PLP analysis
- Store locator behaviour
- Mobile and web performance
- Digital performance deep dives
- Measurement validation
Approach
Behavioural and commercial data are brought together to identify patterns, quantify friction and distinguish genuine customer behaviour from measurement issues. Findings are translated into clear recommendations for product, trading and digital stakeholders.
Technologies
- GA4
- BigQuery
- SQL
- ContentSquare
- Looker Studio
02Experimentation · Product Analytics
Experimentation & Digital Optimisation
An experiment is useful only when the organisation can confidently act on the result. We analyse controlled digital experiments to understand both whether performance changed and what customer behaviour explains the change.
Areas of work
- A/B test analysis
- Experiment validation
- Funnel analysis
- Behavioural segmentation
- Conversion analysis
- Checkout optimisation
- Experiment QA
- Recommendation development
Approach
Experiment analysis combines primary success metrics with behavioural diagnostics, funnel movement and relevant commercial measures. The objective is to move beyond winner-versus-loser reporting and explain what actually happened.
Technologies
- GA4
- BigQuery
- SQL
- Dynamic Yield
- Statsig
- ContentSquare
03Business Intelligence · Reporting
Executive Reporting & Business Intelligence
Reporting should make decisions easier, not create another layer of interpretation. We design reporting around the questions stakeholders repeatedly need answered.
Areas of work
- Executive dashboards
- Weekly performance reporting
- KPI frameworks
- Ecommerce reporting
- Operational reporting
- Automated reporting
- Data validation
- Decision support
Approach
Metric definitions, data sources and reporting logic are established before the dashboard is designed. This creates reporting that is repeatable, explainable and appropriate for both senior and operational audiences.
Technologies
- BigQuery
- SQL
- Looker Studio
- Power BI
- Azure
04Measurement · Data Quality
Measurement Strategy & Analytics Auditing
Analytics cannot support decisions if teams do not trust the underlying measurement. We assess tracking, event design, reporting definitions and data quality to identify where confidence is being lost.
Areas of work
- Analytics audits
- Tracking plans
- Event design
- Data layer reviews
- Measurement frameworks
- KPI definition
- GA4 validation
- Reporting reconciliation
Approach
Start with the business questions the organisation needs to answer, map those questions to the required measurements and then assess whether the existing implementation can reliably provide them.
Technologies
- GA4
- Adobe Analytics
- Amplitude
- BigQuery
- SQL
05Data Engineering · Analytics
Data Engineering for Analytics
Useful analysis depends on reliable data foundations. We build and work with analytical datasets that turn raw digital and commercial data into structures suitable for repeatable reporting and deeper analysis.
Areas of work
- BigQuery datasets
- SQL transformation
- Data modelling
- Scheduled processing
- Source reconciliation
- Reporting tables
- Data quality validation
- Analytics-ready datasets
Technologies
- BigQuery
- SQL
- Python
- Azure
06Own Product · Digital Platform
EchoBridge Admin
EchoBridge Admin is a software platform built by EchoBridge to support case management, workflow automation, CRM, reporting and operational administration.
Areas of work
- Product definition
- Data architecture
- Software development
- Workflow automation
- CRM and case management
- Reporting and analytics
- Access control and audit
- Deployment and operation
Why it sits here
The platform demonstrates the ability to take a business problem from product thinking through data architecture, software development, reporting and deployment, then run the result in production rather than hand over a prototype.
Technologies
- TypeScript
- React
- PostgreSQL
- SQL
- Azure
Have a question your current reporting cannot answer?
Start with the problem. We can help determine whether the answer requires analysis, better measurement, new data engineering or something entirely different.