Attention
People cannot act on what they do not notice.
Visual hierarchy should guide attention toward the information and actions that matter, without overwhelming the user.
- Website hierarchy
- Advertising messages
- Calls to action
- Interface design
Founder of Marketing.clinic
Technology works better when it is designed around human behaviour.
Dr Jacoub Yousef combines doctoral research into online behaviour with hands-on expertise across websites, marketing, software, CRM, automation and artificial intelligence. His work begins with understanding how people think, what creates trust and what helps them make confident decisions.
- PhD
- Digital Behaviour Researcher
- Technology Strategist
- Founder of Marketing.clinic
Marketing.clinic was built on a simple belief: digital problems are rarely just design problems or technology problems. They are human behaviour problems too.
The thinking behind Marketing.clinic
Dr Jacoub Yousef is the founder and strategic lead behind Marketing.clinic. His work sits at the intersection of human behaviour, digital strategy and software engineering.
His doctoral research investigated why people make decisions online that may conflict with their own interests, particularly in relation to privacy, awareness and personal information. That research strengthened a principle that continues to shape his work today: giving people more information is not always enough. Digital systems must make the right action understandable, reassuring and easy to complete.
Today, Jacoub applies that research-led approach to websites, marketing campaigns, applications, CRM systems, business automation and artificial intelligence. Rather than treating each discipline as a separate service, he examines how the complete system influences the customer's decisions and the organisation's ability to respond.
Based in Essex and working with organisations across the UK.
Doctoral research
Understanding why people make risky decisions online
Jacoub's PhD at Anglia Ruskin University examined the causes and effects of poor privacy practices among online social network users and considered how advisory software could support better behaviour.
90
Online survey respondents
14
Semi-structured interviews
16PF
Personality-factor framework
PhD
Anglia Ruskin University
The research studied the relationship between personality, awareness and the privacy choices people made on social networks. It examined whether behavioural patterns could help identify users who were more likely to expose personal information carelessly or unknowingly.
The results showed that behaviour was influenced by more than stated concern. Some participants did not fully understand the privacy controls available to them, while patterns were also identified between personality groupings and less cautious privacy settings.
The thesis therefore considered not only how to identify risk, but how guidance, training and advisory monitoring software might help people make safer decisions.
Research methodology
- 1Survey
- 2Personality analysis
- 3Privacy behaviour
- 4Interviews
- 5Recommendations
Anglia Ruskin University research repository
What privacy research taught me about every digital decision
My research focused on privacy, but the underlying lesson applies across the digital journey: what people know, what they notice and what they ultimately do are often three different things.
A website can contain the correct information and still fail. A CRM can include every feature and still be ignored. An AI tool can be technically impressive and still create uncertainty. The system must be designed around real behaviour, not ideal behaviour.
Understanding
Information is not useful merely because it is present.
Language, structure and feedback must help people understand what is happening and what they should do next.
- Service messaging
- Forms
- CRM interfaces
- Application onboarding
Trust
Every digital action includes a judgement about risk.
Evidence, transparency, consistency and appropriate privacy controls reduce uncertainty and help people act with confidence.
- Conversion design
- Consent
- Checkout
- Lead generation
Friction
Small obstacles can change behaviour.
Unnecessary fields, unclear navigation, slow pages and disconnected processes cause people and internal teams to abandon tasks.
- Form optimisation
- Page performance
- Workflow automation
- Customer journeys
Control
People need to understand what will happen to their information.
Clear choices and honest explanations create more sustainable trust than hidden defaults or manipulative design patterns.
- Privacy
- Data collection
- AI interactions
- Customer communication
Feedback
People need confirmation that an action worked.
Progress indicators, confirmations, status updates and reporting help users and teams understand what has happened and what comes next.
- Applications
- Scan experiences
- CRM pipelines
- Automated processes
Psychology should reduce confusion--not manipulate people.
Marketing.clinic does not use dark patterns, artificial urgency or misleading interfaces. Behavioural understanding is used to make decisions clearer and journeys easier to complete.
One connected skill set
Strategy, behaviour and implementation in the same room
Many digital projects fail between disciplines. The strategy is separated from the website, the website from the marketing, the marketing from the CRM and the CRM from the operational process. Jacoub's role is to understand how those parts connect and lead the complete technical direction.
Websites and conversion
Designing fast, understandable journeys around the decisions visitors need to make.
- Website strategy
- UX and interface design
- Conversion journeys
- WordPress development
- Landing pages
- Performance and accessibility
- Analytics implementation
Marketing and measurement
Connecting demand generation to measurable enquiries, sales and operational outcomes.
- SEO
- Local SEO
- Google Ads
- Paid acquisition
- Analytics
- Attribution
- Conversion tracking
- AI search visibility
Software and applications
Building software around the real process rather than forcing the process into an unsuitable product.
- Web applications
- Client portals
- SaaS platforms
- Mobile application systems
- Bespoke business software
- API development
- Database design
CRM and customer operations
Making sure every enquiry is recorded, understood, assigned and followed through.
- CRM strategy
- Bespoke CRM development
- CRM implementation
- Data architecture
- Lead pipelines
- Customer communication
- Reporting dashboards
Automation and integrations
Removing repetitive administration while preserving visibility, control and failure handling.
- Workflow automation
- System integrations
- API connections
- Data synchronisation
- Email automation
- Lead routing
- Operational reporting
Artificial intelligence
Using AI where it creates a measurable advantage, with appropriate evidence, guardrails and human accountability.
- AI website assistants
- AI chatbots
- AI agents
- Retrieval-augmented generation
- Knowledge systems
- AI evaluation
- Human approval workflows
- Custom AI tools
The website is only one part of the decision journey
Each stage shapes the next. More traffic cannot repair an unclear offer. A better website cannot repair missed follow-up. Automation cannot repair a process that was never properly understood. Marketing.clinic examines the entire journey before prescribing the solution.
- 1Search or advertisement
- 2Website and message
- 3Trust and decision
- 4Form, call or purchase
- 5CRM and qualification
- 6Follow-up and automation
- 7Delivery and reporting
Founder-led methodology
A research mindset applied to commercial problems
Jacoub leads projects using the same underlying discipline required in research: define the question, gather evidence, test assumptions, implement carefully and verify the result.
Diagnose
Understand the business, the user, the data and the real constraint before selecting a solution.
Prescribe
Prioritise the work according to evidence, expected impact, technical risk and commercial value.
Build
Translate the strategy into websites, software, CRM systems, integrations or automated workflows.
Grow
Improve visibility, acquisition, conversion and operational capacity using measurable evidence.
Verify
Test whether the implementation works technically and whether it supports the intended behaviour.
Human x AI
AI can process more information. It does not remove the need for judgement.
Jacoub's approach to AI starts with the decision being supported, the information available and the consequences of getting the answer wrong.
AI can scan, classify, retrieve, compare and monitor at a scale that would be impractical manually. Humans remain responsible for context, priorities, ethics and accountability.
Human direction
- Define the real problem
- Understand commercial context
- Assess ambiguity and risk
- Decide what should be automated
- Approve consequential actions
- Remain accountable for outcomes
Machine capability
- Analyse information at scale
- Retrieve relevant knowledge
- Identify patterns and anomalies
- Perform repetitive language tasks
- Monitor systems continuously
- Verify implementation consistently
This thinking led to HxAi: Marketing.clinic's approach to scanning digital systems, prioritising potential problems, supporting human review and verifying completed work.
Discover HxAiQualifications and working knowledge
Doctor of Philosophy - PhD
Anglia Ruskin University
Doctoral research into online social network user behaviour, privacy practices, personality traits and the potential for advisory software to influence safer decisions.
View research recordBehaviour and strategy
- Online user behaviour
- Digital decision journeys
- Privacy and trust
- Conversion strategy
- User experience
- Research and analysis
Development
- HTML
- CSS
- JavaScript
- TypeScript
- React
- Next.js
- PHP
- Laravel
- Python
- FastAPI
- Node.js
Platforms and data
- WordPress
- WooCommerce
- Moodle
- MySQL
- PostgreSQL
- Airtable
- Stripe
- REST APIs
- Docker
Marketing and measurement
- Google Ads
- Google Analytics
- Search Console
- SEO
- Local SEO
- Attribution
- Lead tracking
- Conversion optimisation
AI and automation
- Large language model integration
- Retrieval-augmented generation
- Vector search
- AI assistants
- AI agents
- Workflow automation
- API integration
- Human approval systems
Personal founder statement
Why I built Marketing.clinic
I have never viewed websites, marketing and software as separate subjects. They all influence a decision made by a person and a response made by an organisation.
My PhD research taught me to question the gap between what people say, what they understand and what they actually do. My development work taught me that the same gap exists inside organisations: a process may look correct on paper while the real users work around it every day.
Marketing.clinic brings those two perspectives together. We diagnose the behaviour, the technology and the commercial objective before deciding what should be built.
Sometimes the right answer is a clearer page. Sometimes it is better tracking, a CRM workflow, a custom application or an AI assistant. The important part is prescribing the solution that addresses the real problem.
Dr Jacoub Yousef
Founder, Marketing.clinic
