The DEPLOY™ Framework
A structured, repeatable approach to building and optimising your growth engine. Every engagement follows this framework to ensure quality, accountability, and measurable outcomes.
Diagnose
Step 1 of 6
Audit current state and identify gaps
What Happens
- Tracking and measurement audit
- Funnel and conversion analysis
- CRM and pipeline review
- Competitive landscape assessment
Deliverables
- • Audit report
- • Gap analysis
- • Opportunity map
Approvals
Stakeholder sign-off on findings and priorities
Engineer
Step 2 of 6
Design the solution architecture
What Happens
- Measurement plan design
- Funnel and journey mapping
- Automation workflow design
- Dashboard and reporting structure
Deliverables
- • Solution blueprint
- • Technical specifications
- • Implementation roadmap
Approvals
Technical and business approval on proposed solution
Produce
Step 3 of 6
Build the assets and systems
What Happens
- Tracking implementation
- Landing page and funnel build
- CRM workflow configuration
- Dashboard development
Deliverables
- • Configured systems
- • Built assets
- • QA documentation
Approvals
Asset review and approval before launch
Launch
Step 4 of 6
Go live with quality assurance
What Happens
- Pre-launch QA checklist
- Staged rollout where applicable
- Monitoring setup
- Team training and handover
Deliverables
- • Live systems
- • Launch checklist
- • Training materials
Approvals
Go-live approval from key stakeholders
Optimise
Step 5 of 6
Test, learn, and improve
What Happens
- A/B testing execution
- Performance monitoring
- Iterative improvements
- Learning documentation
Deliverables
- • Test results
- • Optimisation log
- • Updated assets
Approvals
Test plans approved before execution
Yield
Step 6 of 6
Measure outcomes and report
What Happens
- KPI measurement and reporting
- ROI analysis
- Insights and recommendations
- Roadmap updates
Deliverables
- • Performance reports
- • Insights deck
- • Next phase recommendations
Approvals
Monthly strategy review sign-off
Tracking Hygiene
We believe you cannot optimise what you cannot measure. Every engagement includes rigorous tracking validation.
Event Validation
We verify that all conversion events are firing correctly and capturing the right data.
Attribution Checks
We ensure attribution is working across channels and touchpoints.
Data Quality
We check for duplicates, missing data, and inconsistencies in your tracking setup.
Documentation
We document your measurement plan so your team can maintain it.
Experimentation Cadence
Continuous improvement through structured testing and learning.
Hypothesis Development
Every test starts with a clear hypothesis based on data and insights.
Test Planning
We define success metrics, sample sizes, and duration before running tests.
Execution
Tests are run with proper controls and monitoring.
Analysis
Results are analysed with statistical rigour before drawing conclusions.
Learning Log
All tests and learnings are documented for future reference.
Governance
Clear processes for approvals, documentation, and quality control.
Approvals Workflow
Clear sign-off process for campaigns, assets, and changes. No surprises.
Change Log
Every change is documented with date, reason, and owner for audit trail.
QA Checks
Pre-launch checklists and validation before anything goes live.
Reporting Cadence
Weekly snapshots and monthly strategy reviews keep everyone aligned.
Reporting Model
Structured communication to keep you informed and in control.
Weekly Snapshot
- Key performance metrics
- Spend pacing and budget status
- Immediate actions taken
- Blockers or issues flagged
- Next week priorities
Monthly Strategy Review
- Deep performance analysis
- Test results and learnings
- Insights and recommendations
- Roadmap updates
- Strategic alignment discussion
Risk Controls
We are honest about what we can and cannot promise.
What We Promise
- • Structured, documented execution
- • Regular communication and reporting
- • Data-driven decision making
- • Continuous improvement mindset
- • Honest assessment of results
What We Cannot Guarantee
- • Specific revenue or lead numbers
- • Market conditions or competitor actions
- • Platform algorithm changes
- • Client-side execution dependencies
- • Third-party tool reliability