UK

United Kingdom · Marketing · C-Suite (20+ years)

VP of Marketing Intelligence

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  • Experience bandC-Suite (20+ years)
  • Reports toChief Marketing Officer (CMO)
  • UK framework levelUsually a director, accountable for a division and its numbers

Also advertised as Chief Customer Insights Officer · Global Head of Customer Intelligence · EVP, Marketing Analytics & Insights

Built on 43,079 real UK job descriptions we analysed · grounded in qualifications employers recognise

Two short quizzes about you

1From this job to a course

The qualifications matched to this job

OTHM Level 7 Diploma in Data Science OTHM Qualifications · Level 7 · covers 3 of 7 standards
NCC Education Level 5 Extended Diploma in Computing with Data Science NCC Education Limited · Level 5 · covers 3 of 7 standards
Pearson BTEC Level 5 Higher National Diploma in Computing for England Pearson Education Ltd · Level 5 · covers 3 of 7 standards
Pearson BTEC Level 5 Higher National Diploma in Digital Technologies Pearson Education Ltd · Level 5 · covers 2 of 7 standards
Level 6 Award in Data-led Decision Making Institute of Sales Professionals · Level 6 · covers 1 of 7 standards

Matched from the standards this job is measured against: a suggestion, not an official ruling.

The units you would start with

Data Analysis and Visualisation OTHM Level 7 Diploma in Data Science
Introduction to Data Science and Big Data NCC Education Level 5 Extended Diploma in Computing with Data Science
Data Analytics Pearson BTEC Level 5 Higher National Diploma in Computing for England
Data-led Decision Making Level 6 Award in Data-led Decision Making
Apply the Concepts of Data Science to Computer Engineering NOCN Level 5 Diploma in Computer Engineering (Information Technology and Data Science)

The future skills this job leans on

AI Fluency working with AI as a thinking partner
Data Fluency turning numbers into a decision
AI Governance Fluency using AI responsibly
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Your Plan Illustration

Built for VP of Marketing Intelligence

5 units that map to this job, from the qualifications that cover it.

  1. Data Analysis and Visualisation OTHM Qualifications · covers 3 of 7 standards Level 7
  2. Introduction to Data Science and Big Data NCC Education Limited · covers 3 of 7 standards Level 5
  3. Data Analytics Pearson Education Ltd · covers 3 of 7 standards Level 5
  4. Data-led Decision Making Institute of Sales Professionals · covers 1 of 7 standards Level 6
  5. Apply the Concepts of Data Science to Computer Engineering NOCN · covers 1 of 7 standards Level 5
These are the real units behind this job, in the order they rank for it. Nothing here is marked done, because this plan has not been started by anyone yet. Yours would fill in as you go.

2AI and this work

Will AI change your work as a VP of Marketing Intelligence?

Nobody can say exactly how. Here is what this job is being asked for next, and where to start.

The new skills this role is being asked for

  • Ethical AI & Responsible Data Use Governance
  • Predictive Behavioural Economics & Nudging
Why each one is rising

The future skills this job leans on

We'll only ever tell you what we can actually back up. No hype, no scare tactics.

What happens when you start

Next, a free account. We build your VP of Marketing Intelligence plan as you set up, starting with a Future Fluency module on using AI in your job. No card.

Your first Future Fluency module is free. After that, your AI tutor is £70 a month.

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3What this role really is

A VP of Marketing Intelligence works out who customers are, what they want, and where the market is heading, using data to guide business decisions.

4What you'd actually use

The tools this job runs on, and how well you'd need to know each one.

Salesforce & Segment (or equivalent CDP/CRM) Strategic/Architect

Defining the enterprise-wide customer data model, leading platform evaluations (e.g., Segment vs. Tealium), and governing data standards for all customer-facing systems. You'll make the final call on major platform investments.

Tableau Server/Cloud (or equivalent BI platform) Strategic/Architect

Defining the company's entire Business Intelligence strategy, architecting data sources for self-service analytics across the enterprise, and championing data literacy. You'll ensure our BI environment supports executive decision-making.

Google Analytics 4 (GA4) & Amplitude (or equivalent Web/Product Analytics) Strategic/Architect

Owning the enterprise-wide analytics implementation strategy, defining the global event taxonomy, and ensuring web/product data integrates seamlessly with other customer data sources for a holistic view. You'll decide on the future of our digital measurement.

Qualtrics (or equivalent VoC platform) Strategic/Architect

Designing and owning the entire Voice of the Customer (VoC) programme architecture across the company. You'll ensure feedback data is integrated into enterprise systems and drives product and service improvements at scale.

Python & Enterprise Data Platforms (Snowflake/BigQuery) Strategic/Architect

Architecting data pipelines and ETL/ELT processes for the entire customer data ecosystem. You'll make strategic decisions on data warehousing, compute resources, and champion code standards and peer review for your engineering teams.

Asana/Jira (or equivalent Portfolio Management) Strategic/Architect

Managing the entire Marketing Intelligence project portfolio, defining the team's intake and prioritisation process for strategic initiatives, and allocating resources across multiple, high-impact programmes. You'll ensure your team is focused on the most critical work.

5What you get to decide, and how that grows

Power in a job isn't your title. It's what you're allowed to decide. Here's how it grows as you move up.

The choiceComing in Where you are nowThe step above
Enterprise Customer Data Strategy No involvement, consumes data from established sources. Proposes minor improvements to data collection processes for specific projects. Designs and recommends significant enhancements to data models and collection methodologies within a workstream.
Organisational Design & Talent No involvement. Provides feedback on junior candidates during interviews. Interviews and makes recommendations for junior to mid-level hires. Mentors 1-2 junior analysts.
Strategic Investment & Budget Allocation No budget authority. Recommends software or data purchases up to £1K. Proposes project budgets up to £5K, requiring Director approval.

6How you'll be judged

The scoreboard, and what is not on it. The hard targets, how often each is actually looked at, and the quiet signals that never reach a dashboard.

Marketing ROI Attributed to Insights
The measurable return on investment from marketing initiatives directly informed by your team's insights.
Target · Achieve a 15%+ increase in Marketing ROI year-on-year for insight-led campaigns.

Your team identifies a high-value customer segment, leading to a targeted campaign that generates £5M in incremental revenue with a £500K spend, resulting in a 900% ROI, directly contributing to the overall marketing ROI uplift.

Customer Lifetime Value (LTV) Growth
The average projected revenue a customer will generate over their relationship with the company, influenced by insights leading to better retention and engagement.
Target · Drive a 10%+ increase in average customer LTV annually.

Your churn prediction model and subsequent retention strategies reduce customer attrition by 5%, directly contributing to a measurable increase in LTV across key customer cohorts.

Market Share Growth
The percentage of total sales revenue in the market captured by our company, influenced by strategic market intelligence.
Target · Increase market share by 2-3 percentage points in key segments annually.

Through deep competitive analysis and unmet customer need identification, your team informs a new product launch that captures an additional 2.5% market share in a critical segment within 12 months.

Organisational Data Literacy Score
A measure of how well employees across the company understand and use data in their daily roles, reflecting your leadership in fostering a data-driven culture.
Target · Improve the company-wide data literacy score by 15% annually, as measured by internal surveys and training completion rates.

After implementing a new data education programme and self-service BI platform, the internal survey shows a significant jump in employees' confidence in interpreting dashboards and making data-informed decisions.

Team Performance & Retention
The health and stability of your direct and indirect reports, reflecting your leadership in building a high-performing insights organisation.
Target · Maintain regrettable attrition below 5% and achieve an average team engagement score of 85%+.

Your focus on career development, clear strategic direction, and a supportive team culture results in top talent staying with the company and consistently high scores in internal engagement surveys.

Executive & Board Confidence in Insights
The degree to which the CEO, Board, and other C-suite members trust and rely on your team's insights for strategic decision-making.
  • You'll know you're doing well when you're proactively invited to strategic planning sessions, your insights are frequently cited in board presentations, and senior leaders consistently seek your opinion before making major pivots. It's about being seen as an indispensable strategic partner, not just a data provider.
Proactive Market & Customer Foresight
Your team's ability to anticipate future market trends, customer needs, and competitive threats before they become obvious to everyone else.
  • This looks like your team regularly flagging emerging opportunities or risks that later materialise, leading to early strategic adjustments. Think about presenting a deep dive on a nascent competitor or a shift in consumer behaviour six months before it hits the mainstream media, allowing the business to prepare.
Industry Thought Leadership & Reputation
Your standing and influence within the broader industry as a leader in customer intelligence and marketing analytics.
  • You'll be asked to speak at key industry conferences, publish articles in reputable journals, and be sought out by peers for advice. This also means attracting top talent because your team is recognised as a place where cutting-edge insights work happens.
Cross-Functional Strategic Influence
The extent to which your insights drive strategic alignment and decision-making across different departments (Product, Sales, Finance).
  • This means Product roadmaps clearly reflecting customer needs identified by your team, Sales teams using your segmentation to refine their targeting, and Finance relying on your market forecasts for budgeting. It's about your insights becoming the common language for strategic discussions across the entire organisation.

7Would you like it

Both sides. What people enjoy, and what grinds them down.

What people enjoy
Shaping Enterprise Strategy

You'll spend your days in executive meetings, board presentations, and strategic planning sessions, where your team's insights directly inform the company's direction for the next 3-5 years. You'll be the voice of the customer at the highest levels, ensuring every major decision is grounded in deep understanding.

Leading the annual strategic planning offsite, presenting the key market opportunities and customer segments that will define our growth strategy for the next five years.

Driving Transformational Change

You're not just optimising existing processes; you're fundamentally changing how the company understands and serves its customers. This involves building new capabilities, championing data literacy across hundreds of employees, and integrating customer intelligence into every facet of the business.

Architecting and rolling out a new enterprise-wide Customer Data Platform (CDP) and associated governance framework, transforming how the entire organisation interacts with customer data.

Building High-Performing Teams & Capabilities

A significant part of your role is attracting, developing, and retaining top talent in customer intelligence. You'll mentor directors, set the vision for your organisation, and ensure your team has the resources and opportunities to deliver world-class insights. You'll be building a legacy.

Recruiting a new Director of Market Research, defining their remit, and setting them up for success to expand our qualitative insights capabilities significantly.

What frustrates people
  • Legacy systems that make data integration a nightmare, despite your strategic vision.
  • Organisational inertia or resistance to change, even when the data is crystal clear.
  • Being asked to 'find data' to support a decision that's already been made, rather than inform it.
  • The constant pressure of investor expectations and market scrutiny.
  • Balancing the need for deep, rigorous analysis with the executive demand for immediate answers.
What this role does not give you
  • Daily, hands-on data analysis or model building (you'll oversee it, not do it).
  • A quiet, predictable work environment with minimal political navigation.
  • The luxury of always having perfect data before making a decision.
  • The ability to make unilateral decisions without significant executive alignment.

8Who you work with

This role directly shapes the company's market position, competitive advantage, and long-term growth trajectory. You'll be accountable for ensuring our customer strategy is data-led, driving significant revenue uplift and fostering deep customer loyalty. Your work will influence everything from multi-million-pound investment decisions to the fundamental design of our customer experience. Frankly, you're the one who makes sure we're always one step ahead, truly understanding the market pulse.

Inside the business
  • Chief Executive Officer (CEO)
  • Chief Product Officer (CPO)
  • Chief Financial Officer (CFO)
  • Chief Technology Officer (CTO)
  • Board of Directors
  • Heads of Sales, Product, and Engineering
Outside the business
  • Investors and Analysts
  • Key Strategic Partners
  • Industry Bodies and Regulators
  • Major Vendors and Technology Providers

9What you need before you start

Not a wish list. The things you would be expected to already have.

  • A proven track record of 20+ years in customer insights, marketing analytics, or a related data leadership role, with at least 5 years at a Director or equivalent level, managing large teams (25+ people) and significant budgets (£2M+).
  • Demonstrable experience in defining and executing enterprise-wide data strategies that have directly led to measurable business growth and competitive advantage.
  • Extensive experience presenting complex analytical findings and strategic recommendations to C-suite executives and Board members, influencing critical business decisions.
  • A deep understanding of the full customer lifecycle and experience in optimising customer journeys across multiple channels and product lines.
  • Experience in managing and integrating complex data ecosystems, including CDPs, DWHs, and various analytics platforms.
  • A strong history of attracting, developing, and retaining top talent in data science and analytics.

10What to practise next

Where the job is going, and what to do about it starting this week.

Real-time Personalisation & Customer Journey Orchestration

Customers expect hyper-relevant experiences, instantly. The ability to process data, generate insights, and trigger personalised actions in milliseconds is becoming a competitive imperative. You'll need to direct the architecture that makes this possible.

Event-Driven Architectures · Microservices for Personalisation · Low-Latency Data Pipelines · Contextual AI for Dynamic Content

  • This quarter: Review current capabilities for real-time data processing and identify key bottlenecks.
  • Next 6 months: Develop a roadmap for enhancing our real-time data infrastructure, including potential new platform investments.
  • Next 12 months: Oversee the implementation of a pilot real-time personalisation engine for a critical customer journey segment.
  • Ongoing: Benchmark our real-time capabilities against industry leaders and set aggressive targets for improvement.

Quick win: Identify one high-impact, low-complexity customer touchpoint where a near-real-time personalised message could be implemented with existing tools.

Unified Measurement & Cross-Channel Attribution

The fragmentation of customer journeys across countless channels makes accurate marketing measurement incredibly complex. You'll need to lead the charge in building a holistic, unified measurement framework that accurately attributes value across all online and offline touchpoints, moving beyond simplistic models.

Multi-Touch Attribution Models (Algorithmic) · Marketing Mix Modelling (MMM) & Incrementality Testing · Privacy-Preserving Measurement (e.g., Clean Rooms) · Unified Customer ID Resolution

  • This quarter: Review our current attribution models and identify their limitations and biases.
  • Next 6 months: Commission a strategic review of industry best practices for unified measurement and cross-channel attribution.
  • Next 12 months: Direct the development and implementation of a new, more sophisticated attribution framework, including the necessary data infrastructure.
  • Ongoing: Regularly present the performance of our unified measurement system to the CMO and CFO, demonstrating its impact on budget allocation.

Quick win: Initiate a project to audit the data quality and consistency of customer IDs across our top three marketing platforms.

11Staying current once you are in

What people here do to keep up
  • Regularly attending and speaking at major industry conferences (e.g., Gartner Marketing Symposium, Forrester CX Summit, CDPI Summit) to stay abreast of cutting-edge trends and network with peers.
  • Engaging in executive coaching focused on leadership, strategic influence, and navigating complex organisational dynamics.
  • Participating in peer groups or advisory boards for VPs of Marketing Intelligence to share best practices and tackle common challenges.
  • Subscribing to and actively reading leading academic journals and business publications on data science, marketing strategy, and organisational leadership.
  • Mentoring rising talent within the company and externally, fostering the next generation of insights leaders.

12The rising capability

The rising capability

Zavmo analysis

What's rising in its place

This is where the work is heading, and the higher pay with it. Get fluent here and the shift stops being a threat and starts being your edge.

Ethical AI & Responsible Data Use Governance

As AI, particularly large language models, becomes embedded in every aspect of customer interaction and analysis, the ethical implications and regulatory scrutiny will only intensify. Companies that navigate this responsibly will build trust; those that don't will face significant backlash and fines. You're the one who sets the standard.

  • AI Explainability (XAI)
  • Bias Detection & Mitigation
  • Data Sovereignty & Privacy-Preserving AI
  • AI Regulatory Compliance

Predictive Behavioural Economics & Nudging

Moving beyond simply understanding 'what' customers do to 'why' they do it, and how we can ethically influence their behaviour. This combines deep psychological insights with predictive analytics to create more effective and resonant customer experiences, driving loyalty and conversion.

  • Cognitive Biases in Decision Making
  • Choice Architecture & Defaults
  • Gamification & Incentive Design
  • Ethical Persuasion & Transparency

13What you’ll use

What you’ll use

Skills this role draws on

Technical

  • Enterprise Data Strategy & Governance
  • Advanced Marketing Mix Modelling & Econometrics
  • Customer Journey Orchestration & Personalisation
  • M&A Due Diligence (Data & Customer Perspective)
  • Global Market & Competitive Intelligence

14The pathway

The pathway

How you actually get there, here

How you become one varies far more by country than what one does. This is the UK route. Most people take one of these ways in; the right one depends on where you're starting from.

  1. 1

    Director of Customer Insights

    3-5 years as Director

    Skills to master

    • At this level, you'd have already mastered leading large teams (10-25 people), owning significant departmental budgets, and driving multi-year insights roadmaps. You'd be an expert in translating business problems into analytical solutions and influencing senior leadership within a business unit.

    You're ready to move on when

    • Successfully built and scaled a new insights capability or team within a large organisation.
    • Consistently delivered insights that led to measurable business impact (e.g., 5%+ revenue growth).
    • Proven ability to attract, develop, and retain top analytical talent.
    • Regularly presented strategic recommendations to C-suite executives and gained their buy-in.
  2. 2

    Global Head of Marketing Analytics

    3-5 years as Global Head

    Skills to master

    • This path means you've successfully led a global or multi-regional analytics function, navigating diverse market needs and regulatory landscapes. You'd be an expert in international data strategy, global measurement frameworks, and managing distributed teams.

    You're ready to move on when

    • Successfully unified analytics approaches across multiple geographies or business units.
    • Demonstrated expertise in navigating international data privacy regulations and market nuances.
    • Built strong relationships with international marketing leaders and delivered insights relevant to global scale.
    • Managed a significant global budget and resource allocation for analytics.
  3. 3

    Principal Data Scientist (with strong business acumen)

    5-8 years as Principal/Staff

    Skills to master

    • While more technical, this path requires a Principal Data Scientist who has transitioned significantly into business strategy and leadership. You'd have deep expertise in advanced modelling, data architecture, and a proven ability to translate complex technical work into strategic business value, influencing product and business leaders.

    You're ready to move on when

    • Architected and deployed enterprise-level predictive models that drove significant business outcomes.
    • Mentored and led a team of senior data scientists, setting technical standards and best practices.
    • Consistently presented complex technical strategies and their business implications to executive audiences.
    • Demonstrated strong leadership beyond just technical expertise, influencing product and business roadmaps.

15Where this role leads

The long view: This role can lead to chief executive positions in data-driven companies, board or non-executive director roles, or venture capital work advising on marketing technology and data.

The ten Future Fluencies

Zavmo analysis

The credential is what you can do today. These are what keep you valuable.

A qualification proves you can do the job as it's defined today. These ten are what decide whether you're still the obvious person for it in five years. They're the capabilities employers are now writing into senior roles faster than people are learning them. Zavmo weaves them through whatever you study, so you come out with both: the credential and the fluency.

The highlighted ones are the Fluencies your role leans on hardest, from how VP of Marketing Intelligence is actually changing.

Where it leads

Roles this leads to

How you would learn this

One to one, on the work you already do

A tutor sets the task against your own job and marks the reasoning, at your pace. There is no cohort to fall behind.

A lesson from Data Analysis and Visualisation, worked against VP of Marketing Intelligence.

Data Analysis and Visualisation Level 7

Applied to your work in VP of Marketing Intelligence

1. To enable the learner to critically analyse the theoretical underpinnings of data analytics and their impact on decision-making in business management contexts. 2. To enable the learner to assess diverse data analysis activities, techniques, and tools applicable to business management scenarios. 3. To enable the learner to compare and contrast various predictive analytic techniques, evaluating their strengths and weaknesses in forecasting future business events. 4. To enable the learner to evaluate how predictive analytic techniques can be practically implemented for forecasting purposes within the business sector. 5. To enable the learner to evaluate prescriptive analytic techniques, illustrating their application with relevant examples from the business management domain. 6. To enable the learner to apply a suitable programming language or data analysis tool to conduct data analysis and visualisation tasks related to business management problems.

How the thinking builds
  1. 1 Remember
  2. 2 Understand
  3. 3 Apply
  4. 4 Analyse
  5. 5 Evaluate
  6. 6 Create
An illustration of a Zavmo lesson, built from this role’s own route. The unit, its objective and every criterion above are the awarding body’s own words, not an example.

It is £70 a month, billed monthly. Your free first module is Future Fluency, and you can cancel any time.

Start my VP of Marketing Intelligence plan, free
See Your Progress Grow Illustration
VP of Marketing Intelligence
  • Enterprise Data Strategy & Governance
  • Advanced Marketing Mix Modelling & Econometrics
  • Customer Journey Orchestration & Personalisation
  • M&A Due Diligence (Data & Customer Perspective)
  • Global Market & Competitive Intelligence
This is your Mind Palace on learn.zavmo.ai. Every skill above comes from this role's own record, not an example borrowed from another job. A node lights up when you evidence it, and what you build stays yours between jobs. That is the part a course cannot do.

16The detail, folded away

Everything else the record holds

The career branches in full, how AI is already showing up in the day-to-day, and the questions people ask about this job. Here when you want them, out of the way while you decide.

Where it leads next, rung by rung

Where it leads

The career path, and where it branches

VP of Marketing Intelligence is a start, not a ceiling. Each step below asks for new skills and hands back more autonomy.

  1. Chief Marketing Officer (CMO)

    3-5 years in role

    Executive Leadership (Board Level)

    • Integrated Marketing Communications (PR, Social, Brand)
    • Product Marketing & Launch Strategy
    • Global Market Expansion & Localisation
    • Crisis Communications & Reputation Management

  2. Chief Data Officer (CDO)

    3-5 years in role

    Executive Leadership (Board Level)

    • Big Data Technologies & Cloud Architecture
    • Information Security & Risk Management
    • Machine Learning Operations (MLOps)
    • Data Product Development
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, even at the executive level, there's always more to do than hours in the day. Imagine if you could reclaim a significant chunk of your week, not just for more work, but for deeper strategic thinking, more impactful stakeholder engagement, and truly moving the business forward. AI isn't just for analysts anymore; it's a strategic partner for leaders.

As VP of Marketing Intelligence, your value is in vision, strategy, and executive influence. AI won't replace that, but it will dramatically reduce the time spent on synthesis, reporting, and even some aspects of strategic foresight. Think of it as having an army of highly intelligent, tireless assistants working 24/7 to support your strategic agenda. It's about amplifying your impact, not replacing your brain.

Automated Executive Briefings & Board Prep

Feed AI tools complex market reports, internal performance data, and competitor analyses. It can then draft concise executive summaries, highlight key strategic implications, and even generate initial slides for board presentations, tailored to specific audience needs. You'll spend less time synthesising and more time refining the strategic narrative.

Strategic Market Trend Identification & Foresight

Use advanced AI to continuously scan vast amounts of external data – news, social media, academic papers, financial reports – to identify nascent market trends, emerging customer behaviours, and competitive threats before they become obvious. This gives you a critical head start in shaping proactive strategies.

Investor Relations & Public Statement Drafting

When you need to communicate complex customer insights or market positions to investors or the public, AI can help draft initial statements, Q&A responses, or press releases. It ensures consistent messaging, tone, and accuracy, freeing you to focus on the strategic implications and potential impact.

Organisational Data Governance & Anomaly Detection

Deploy AI to continuously monitor your enterprise data pipelines and customer data platform for anomalies, data quality issues, or potential compliance risks. It can flag issues in real-time, allowing your team to address them proactively, ensuring the integrity of your strategic insights.

Common questions

Common questions

How do you become a VP of Marketing Intelligence?

Common routes in include Director of Customer Insights (3-5 years as Director), Global Head of Marketing Analytics (3-5 years as Global Head) and Principal Data Scientist (with strong business acumen) (5-8 years as Principal/Staff). Times vary with prior experience.

Where can a VP of Marketing Intelligence progress to?

This role can lead on to Chief Marketing Officer (CMO) (3-5 years in role) and Chief Data Officer (CDO) (3-5 years in role), depending on the skills you build.

What new skills matter most for a VP of Marketing Intelligence?

Increasingly, Ethical AI & Responsible Data Use Governance and Predictive Behavioural Economics & Nudging. These are the skills our record of this role lists as growing.

Free tools

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Three free tools, no account needed. Each one ends with a role, a level and a way in.

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17Where to go from here

Other roles at Level 7

Same depth of qualification, different job. Useful if the work appeals but this particular role does not.

 More jobs in marketing

Stay in the field you know and move sideways rather than up.
If you leave this industry

Skills in customer intelligence transfer to other data-intensive sectors, such as fintech, healthcare, e-commerce, or advisory roles in government, where customer data shapes strategy.

This role profile is © 2026 Growth Engineering Technologies Ltd. Built from UK occupational standards and regulated qualification data, and written for Zavmo.

You're not behind. You're right on time. The shift is only just beginning. Your role won't look the same in two years. Be the one who leads the change, not the one it happens to. Start my VP of Marketing Intelligence plan, free What happens next: a free account, then we build your plan as you set up. No card. Build your plan, see your roadmap and meet the twelve tutors matched to you. All free. When you're ready to start learning, it's £70 a month, billed monthly. Cancel any time and billing stops.