The ABP Method
From Marketing Activity to Marketing Intelligence.
Five stages, run in order and then run again. Each stage produces the input for the next, and the last one makes the first one sharper.
- 01Discover
- 02Design
- 03Deploy
- 04Learn
- 05Compound
Discover
Understand the market, customer, data, competitors, technology and opportunity.
Where the effort goes
- Research & analysis55%
- Data & tracking review25%
- Stakeholder input20%
Every engagement starts with intelligence, not tactics. We map how demand actually forms in your category — what customers search, ask, compare and trust — then read your data, systems and competitive position against it. The output is a clear view of where growth is available and what is currently blocking it.
What happens in this stage
- Market and demand mapping
- Customer and intent research
- Data, tracking and systems review
- Competitor and visibility analysis
- Technology and AI readiness
Outcome
A prioritised opportunity map and a baseline you can measure against.
Design
Engineer the growth architecture, customer journey and intelligence system.
Where the effort goes
- Journey & architecture45%
- Agents & automation design30%
- Measurement model25%
Findings become an architecture. We design the journey from first discovery to revenue, decide which parts should be human, automated or agentic, and specify the data flows that let the system learn. Nothing is built until the model behind it is clear.
What happens in this stage
- Growth architecture and journey design
- Channel and messaging strategy
- Agent and automation blueprints
- Measurement and data model
- Roadmap and sequencing
Outcome
A documented growth system with a build sequence and success measures.
Deploy
Build campaigns, agents, automation, content, experiences and integrations.
Where the effort goes
- Build & integration50%
- Content & creative30%
- QA & launch20%
This is where the architecture becomes real. Search visibility, advertising, content, social, websites, agents and automations are built and connected so they share the same data and reinforce each other rather than running as separate projects.
What happens in this stage
- AI search — SEO, AEO, GEO
- AI advertising and creative systems
- Content and social distribution
- Agents, automation and CRM integration
- Websites, applications and interfaces
Outcome
A live, connected system producing demand and producing data.
Learn
Measure behaviour and continuously identify what is working.
Where the effort goes
- Analysis & interpretation45%
- Testing programme35%
- Reporting20%
Performance is read as behaviour, not vanity metrics. We track what customers do across the journey, test deliberately, and separate signal from noise so decisions are made on evidence. Reporting explains cause, not just outcome.
What happens in this stage
- Behavioural and journey analytics
- Structured testing programme
- Channel and creative performance analysis
- Attribution and revenue reporting
- Insight reviews and decisions
Outcome
A clear, evidenced account of what is working, what is not and why.
Compound
Feed intelligence back into the system so decisions become smarter over time.
Where the effort goes
- Optimisation loops40%
- Agent & content refinement35%
- Strategy recalibration25%
What is learned is returned to the system. Targeting, creative, content, agents and automation are updated from real evidence, so each cycle starts from a stronger position than the last. This is the difference between running campaigns and building an asset.
What happens in this stage
- Continuous optimisation loops
- Agent and automation refinement
- Content and authority expansion
- Budget and channel reallocation
- Quarterly strategy recalibration
Outcome
Growth that accelerates because the system keeps getting smarter.
The Loop Is The Point.
Compound returns to Discover. Every cycle begins with better evidence, so the system finds opportunities earlier, spends more accurately and automates more of the work.