UK

United Kingdom · Marketing · Entry Level (0-2 years)

Database Marketing Associate

Here is the whole job, in plain words. What it is, a real day, what you decide, how you're judged, how people get here and where they go next. Then the part no course gives you: twelve AI tutors who learn your work.

  • Experience bandEntry Level (0-2 years)
  • Direct reportsNo direct reports
  • Reports toDatabase Marketing Specialist (L2)
  • UK framework levelUsually someone starting out, or keeping a process running

Also advertised as Junior Database Assistant · Marketing Data Support · Campaign List Administrator

Built on an analysis of 43,079 real UK job descriptions · grounded in qualifications employers recognise

Start with a free Future Fluency check, tuned to Database Marketing Associate

Ten quick questions, one per Future Fluency, asked against this role rather than a generic one. About five minutes, and no card.

Start the check, free

1What this role really is

This role is all about getting the right data to the right people for our marketing campaigns. You'll be the person making sure our contact lists are clean, accurate, and ready to go. Think of yourself as the foundational layer, making sure everything else runs smoothly. You'll be working with real customer data, so accuracy is absolutely key. It’s a hands-on role where you'll learn the ropes of how marketing data actually works day-to-day.

2What you'd actually use

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

Salesforce Marketing Cloud (SFMC) / HubSpotIntermediate

Building audiences from existing segments, deploying standard email journeys, pulling basic reports from templates, and checking campaign status.

SQL (PostgreSQL, T-SQL)Basic

Executing pre-written queries to pull lists, performing simple `SELECT`, `WHERE`, and `JOIN` operations with guidance to extract specific data.

Tableau / Power BI / Looker StudioIntermediate

Connecting to standard data sources, using existing dashboards to find information, and creating basic charts or tables to answer simple campaign questions.

Excel (Power Query, Pivot Tables)Advanced

Using VLOOKUP/XLOOKUP, complex nested formulas, and Pivot Tables for list cleaning, data manipulation, and ad-hoc analysis. You'll be using this a lot for data prep.

Jira / AsanaIntermediate

Managing your personal tickets and tasks, providing clear updates on your progress and any blockers, and following our established sprint processes.

3What 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 inWhere you are nowThe step above
Campaign List SegmentationExecute pre-defined segments; escalate any requests for new or complex segmentation logic.Design and execute standard segmentation for campaigns; consult manager on complex or high-risk segments.Design and optimise complex, multi-layered segmentation strategies; make recommendations to marketing leads.
Data Cleaning & StandardisationPerform tasks following established guidelines and templates; escalate unclear data issues.Independently clean and standardise datasets; propose improvements to existing cleaning processes.Develop and implement new data hygiene protocols; automate cleaning workflows.
SQL Query DevelopmentExecute pre-written queries; perform simple SELECT/WHERE/JOIN with guidance.Write complex multi-table queries for specific analysis; optimise query performance.Design and architect database schemas for marketing data; establish SQL coding standards.
Data Privacy ComplianceApply suppression lists and consent rules as instructed; escalate any potential compliance concerns.Ensure all data operations comply with GDPR/PECR; advise campaign managers on best practices.Own the implementation of data privacy policies within the MarTech stack; conduct internal audits.

4How you'll be judged

The scoreboard, honestly: the hard targets, how often each one is actually looked at, and the quiet human signals that never make it onto a dashboard.

List Pull Accuracy
The percentage of contacts in a list pull that meet all specified criteria, verified against source data.
Target · >99.5% accuracy

If a campaign needs 10,000 contacts who opened an email in the last 30 days, and you pull 9,980 correct ones, that's 99.8% accuracy. We'll be checking for those small errors.

Data Cleansing Completion Rate
The volume of records processed for standardisation, de-duplication, and validation.
Target · Process 5,000+ records weekly

You'll get a batch of 6,000 new contacts from a recent event. If you clean and standardise 5,500 of them by Friday, that's a good week. It's about consistent effort.

Campaign Deployment SLA Adherence
The percentage of campaign lists delivered to the Marketing Operations team within the agreed timeframe (usually 24 hours for standard requests).
Target · 98% of standard campaigns delivered on time

If you have 50 standard list requests in a month, and you get 49 of them to the team within 24 hours, you're hitting the target. We understand things happen, but consistency is key.

Documentation Contribution
The number of new or updated process documents created or reviewed.
Target · 2-3 new/updated documents per quarter

You've learned a new way to clean a specific data field. Documenting that process so others can follow it counts. It's about sharing knowledge.

Understanding of Data Privacy
Demonstrating a practical understanding of GDPR and other relevant data privacy rules in daily work.
  • You'll proactively flag potential compliance issues during list pulls, ask clarifying questions about consent, and correctly apply suppression lists. Your manager will see you're thinking about the 'why' behind the rules.
Proactive Issue Identification
Spotting and raising data inconsistencies or potential problems before they become bigger issues.
  • You'll notice a strange spike in unsubscribes from a particular segment and flag it to your manager. Or you'll see a data field that's consistently messy and suggest a better way to collect it. It's about not just doing the task, but thinking about the data's health.
Learning and Application
How quickly you pick up new tools, processes, and data concepts, and apply them correctly.
  • After training on a new SQL function, you'll start using it in your queries without needing constant reminders. You'll ask smart questions that show you're trying to understand the underlying logic, not just follow steps blindly. Your manager will see you're actively trying to improve.
Team Collaboration and Communication
How effectively you communicate progress, blockers, and questions to your team.
  • You'll update Jira tickets regularly, let your manager know if you're stuck, and ask for help when you need it. You'll also clearly explain what you've done on a list pull to the campaign manager so they understand the parameters. No one likes surprises, especially with data.

5Would you like it

The honest version. What people enjoy, and what grinds them down.

What people enjoy
Making Things Right

You'll get a genuine sense of satisfaction from cleaning up a messy spreadsheet or successfully de-duping a contact list. It's about bringing order to chaos.

Spending an hour to correct 50 inconsistent company names in a list, knowing it means our emails will look professional and targeted.

Learning New Skills

You're keen to pick up new SQL commands, understand how our CRM works, and learn the ins and outs of data segmentation. You'll enjoy the structured learning that comes with this role.

Successfully writing your first multi-table SQL query after weeks of practice, and seeing it pull exactly the right data.

Behind-the-Scenes Impact

You're happy to be the person who makes the magic happen without necessarily being in the spotlight. You know your accurate lists are crucial for the marketing team's success.

Seeing a successful email campaign launch, knowing that your meticulous list pull was a key ingredient, even if no one mentions your name specifically.

What frustrates people
  • The 'Garbage In, Gospel Out' Problem: You'll spend a lot of time cleaning messy, inconsistent data that's been manually entered, only for people to question the accuracy of your reports later.
  • The Last-Minute 'Urgent' List Pull: Expect emails at 4:45 PM on a Friday for a 'super important' list needed EOD, with vague criteria that requires hours of clarification.
  • Being the 'Compliance Cop': You'll often be the one saying 'no' to requests to upload lists without proper consent, and sometimes you'll be seen as a blocker.
  • Explaining the 'Why': Trying to explain to a non-technical stakeholder why you can't just 'add a filter for decision-maker' when that data simply doesn't exist in a structured format.
  • Repetitive tasks: A fair bit of this job involves doing the same data cleaning or validation steps over and over. It's necessary, but it can be a grind.
What this role does not give you
  • High-level strategic decision-making (not yet, anyway).
  • Direct management of a team (you're learning the ropes first).
  • A 'set it and forget it' environment (data is always changing).
  • A role where you're constantly presenting to senior leadership (your impact is more behind-the-scenes).

6Who you work with

Your work directly impacts the efficiency and accuracy of our marketing campaigns. If the data you provide is spot on, our campaigns perform better, and we maintain a good relationship with our customers. If it's messy, we waste money, annoy people, and potentially face compliance issues. Honestly, it's a bit like being a quality control expert for our customer data.

Inside the business
  • Database Marketing Specialist (your direct manager)
  • Campaign Managers (who need the lists you pull)
  • Marketing Operations Team (who set up the campaigns)
  • Sales Team (who sometimes ask for quick lists, but you'll learn to push back politely)
Outside the business
  • Email Service Providers (like Salesforce Marketing Cloud, though you won't directly manage them)
  • Data Privacy Regulators (indirectly, by ensuring compliance)

7What you need before you start

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

  • A foundational understanding of data structures (what a row, column, and table are).
  • Experience using Excel for data manipulation (formulas, pivot tables, basic cleaning).
  • A genuine interest in how data powers marketing campaigns.
  • A meticulous eye for detail – you're the kind of person who spots typos from a mile away.
  • The ability to follow instructions carefully and ask clarifying questions when needed.

8What to practise next

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

Advanced SQL for Segmentation

As our data gets more complex and our marketing becomes more personalised, simple SQL queries won't cut it. You'll need to pull more nuanced segments, which means more complex queries.

Window Functions · Common Table Expressions (CTEs) · Subqueries · Performance Optimisation

  • This week: Look up online tutorials for SQL window functions and try a few simple examples.
  • This month: Start refactoring some of your existing longer queries using CTEs.
  • Month 2: Take an online course on advanced SQL for data analysis.
  • Month 3: Propose a more efficient way to pull a recurring list using your new SQL skills.

Quick win: Ask your manager for a 'challenge query' – something that usually takes a long time to pull, and see if you can make it more efficient using new techniques.

Customer Data Platform (CDP) Understanding

CDPs are becoming the central hub for all customer data. As we move towards a more unified customer view, understanding how data flows into and out of a CDP will be essential for accurate segmentation and personalised experiences.

Event Tracking · Identity Resolution · Data Ingestion & Export · Segmentation within a CDP

  • This week: Read articles and watch introductory videos about what a CDP is and how it works.
  • This month: Ask your manager if you can shadow someone who works with our CDP (if we have one) or explore its interface.
  • Month 2: Try to map out a customer's journey through our systems and identify where a CDP would fit in.
  • Month 3: Propose a new segmentation idea that could be built using CDP data.

Quick win: Familiarise yourself with our current data flow diagrams. Even without a CDP, understanding how data moves between systems is a great start.

9Staying current once you are in

What people here do to keep up
  • Completing online courses on SQL basics (e.g., Codecademy, Udemy, DataCamp).
  • Attending webinars or virtual events on marketing automation and data privacy.
  • Reading industry blogs and publications (e.g., Marketing Week, DMA) to stay up-to-date on trends.
  • Participating in internal training sessions on our CRM and marketing automation platforms.

10How the AI economy is changing work like this

Before we ask anything of you, here's what we can already say about AI and work of this kind:

The new skill this role is being asked for: Prompt Engineering for Data Tasks

AI language models (LLMs) are getting incredibly good at understanding natural language and generating code or summaries. Being able to 'talk' to these models effectively will make you much more efficient at tasks like query writing, data summarisation, and even documentation.

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

Your PlanIllustration

Built for Database Marketing Associate

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

  1. Digital MarketingGateway Qualifications Limited · covers 4 of 10 standardsLevel 2
  2. Digital Marketing for the Digital and Creative IndustriesGateway Qualifications Limited · covers 3 of 10 standardsLevel 2
  3. Analyse market research dataCity and Guilds of London Institute · covers 2 of 10 standardsLevel 3
  4. Marketing ResearchAQA Education · covers 2 of 10 standardsLevel 3
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.

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.

Prompt Engineering for Data Tasks

AI language models (LLMs) are getting incredibly good at understanding natural language and generating code or summaries. Being able to 'talk' to these models effectively will make you much more efficient at tasks like query writing, data summarisation, and even documentation.

  • Clear Prompt Construction
  • Context & Constraints
  • Output Validation
  • Iterative Prompting

What you’ll use

Skills this role draws on

Technical

  • List Segmentation & Targeting
  • Data Hygiene & Normalisation
  • Marketing Attribution Models (Basic)
  • Data Privacy & Compliance (GDPR/PECR)

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

    Marketing Internship / Assistant

    6-12 months

    Skills to master

    • Basic data entry, list management, understanding campaign workflows, using marketing tools like email platforms.

    You're ready to move on when

    • Consistently accurate data handling in previous roles.
    • Demonstrated ability to follow detailed instructions.
    • A clear interest in the technical side of marketing.
  2. 2

    Administrative Assistant (Data-Focused)

    1-2 years

    Skills to master

    • Advanced Excel skills, data organisation, attention to detail, managing databases (even small ones).

    You're ready to move on when

    • Successfully managed complex spreadsheets or small databases.
    • Proactively identified and corrected data errors.
    • Comfortable with repetitive, detail-oriented tasks.
  3. 3

    Customer Service / Operations Support

    1-2 years

    Skills to master

    • CRM data entry, understanding customer records, problem-solving data discrepancies, process adherence.

    You're ready to move on when

    • Experience navigating and updating customer records in a CRM.
    • A track record of meticulous record-keeping.
    • Good at spotting patterns and inconsistencies in customer data.

11Where this role leads

The long view:Your journey starts here, learning the fundamentals and building a rock-solid foundation. We're excited to see where you take it, and we'll support you every step of the way with learning, challenges, and opportunities to grow.

Pay & demand

Pay and demand for this role will appear here, each figure traced to a named authoritative source (e.g. the ONS Annual Survey of Hours and Earnings, under the Open Government Licence). We don’t show numbers we can’t attribute.

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 Database Marketing Associate is actually changing. In about two minutes, the free confidence check asks where you stand on each of the ten. That's the whole check, and it's what makes the plan yours rather than generic.

Where it leads

Roles this leads to

12The team that's yours

No two people are taught the same way. This is one-to-one, not one-to-many.

Zavmo is a hyper-personalised AI learning platform. Twelve virtual tutors, each with a different way of teaching, and one orchestration agent that picks the right one for the moment. So every single lesson is shaped around you, your role, and the way you learn. Not a course everyone sits through. A conversation built for you, and no one else.

…and nine more, matched to you after your first chat. Meet all twelve

Start free and meet yours

13What it feels like

A conversation, not a course

Because your tutor knows your role, your projects and your last session, learning sounds like this. And it's different for every single person:

Digital MarketingLevel 2

Applied to your work in Database Marketing Associate

This unit aims to provide learners with an understanding of digital marketing approaches and their application in different sectors. Learners will analyse the advantages and disadvantages of various strategies, evaluate successful and unsuccessful campaigns, and understand how to measure the effectiveness of digital marketing efforts.

How the thinking builds
  1. Remember
  2. Understand
  3. Apply
  4. Analyse
  5. Evaluate
  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.

One to one, not one to many

No two people run this the same way

A course is written once and handed to everyone. This is assembled around you, and keeps changing as it learns you. Five things it reads, and what each one changes.

  1. Your actual work Every lesson is taught against a live piece of your own work, not a worked example from a textbook.
  2. What you already know The first conversation finds your starting point, so you skip what you can already do and spend the time on what you cannot.
  3. The conditions you learn under Not a learning-styles quiz. The evidence does not support those. The dimensions the research does back, read once and used to shape the plan.
  4. How far you got last time It picks up mid-thought. The tutor knows what you said, what you struggled with, and what it asked you to try.
  5. Which tutor suits the moment Twelve of them, each for a different kind of thinking. The one who walks you through a first idea is not the one who stress-tests it.

See how you learn, free. Eight questions, no sign-up. A directional taster; the diagnostic inside Zavmo goes deeper and keeps adapting.

DemonstrateIllustration

Evidenced on your work in Database Marketing Associate

You do not finish by watching something. You finish by showing it on the work you already do, against the measures this job is judged on.

  • List Pull AccuracyThe percentage of contacts in a list pull that meet all specified criteria, verified against source data.If a campaign needs 10,000 contacts who opened an email in the last 30 days, and you pull 9,980 correct ones, that's 99.8% accuracy. We'll be checking for those small errors.>99.5% accuracy
  • Data Cleansing Completion RateThe volume of records processed for standardisation, de-duplication, and validation.You'll get a batch of 6,000 new contacts from a recent event. If you clean and standardise 5,500 of them by Friday, that's a good week. It's about consistent effort.Process 5,000+ records weekly
  • Campaign Deployment SLA AdherenceThe percentage of campaign lists delivered to the Marketing Operations team within the agreed timeframe (usually 24 hours for standard requests).If you have 50 standard list requests in a month, and you get 49 of them to the team within 24 hours, you're hitting the target. We understand things happen, but consistency is key.98% of standard campaigns delivered on time
  • Documentation ContributionThe number of new or updated process documents created or reviewed.You've learned a new way to clean a specific data field. Documenting that process so others can follow it counts. It's about sharing knowledge.2-3 new/updated documents per quarter
These are this job's own measures, with its own targets. Nothing is marked evidenced, because nobody has started this yet. Yours would fill in from the work you bring.

Your passport

This isn't a certificate you file away. It's a passport to the life you're designing.

Every credit you earn and every fluency you build adds up: evidence where it counts, carried with you. Zavmo keeps the map: where you are, where you're heading, and the next step, at your pace, around your life. From Database Marketing Associate to Database Marketing Specialist (L2), and whatever you decide comes after.

Level 2 · in progressAI Fluency→ Database Marketing Specialist (L2)→ your design
Where this takes you

Your journey starts here, learning the fundamentals and building a rock-solid foundation. We're excited to see where you take it, and we'll support you every step of the way with learning, challenges, and opportunities to grow.

See Your Progress GrowIllustration
Database Marketing Associate
  • List Segmentation & Targeting
  • Data Hygiene & Normalisation
  • Marketing Attribution Models (Basic)
  • Data Privacy & Compliance (GDPR/PECR)
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.

14The 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

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

  1. Database Marketing Specialist (L2)

    2-3 years

    This is the natural next step. You'll move from executing tasks under close supervision to independently owning projects and making routine decisions.

    • Advanced SQL: Writing complex, multi-table queries from scratch, using window functions and CTEs.
    • Marketing Automation Platform Expertise: Designing and building more complex email journeys and automation workflows.
    • A/B Testing Design: Helping to design and execute controlled tests on email elements and audience segments.
    • Basic Data Visualisation: Building simple dashboards to track campaign performance.
Working with AI on the job

Working with AI

Where AI is starting to help

Let's be real, a lot of database marketing involves repetitive tasks and sifting through mountains of data. AI isn't here to replace you, but it's definitely here to make your life a whole lot easier, faster, and frankly, more interesting. Think of it as your smart assistant.

In this role, you'll be at the forefront of using AI to automate the tedious bits, giving you more time to focus on understanding the data and making a real impact. We're talking about tools that can help you clean data, write queries, and even spot issues before you do. Here's a glimpse of how you'll use AI day-to-day:

Automated Data Hygiene

Use AI-powered tools to automatically detect and correct inconsistencies in contact data, standardise fields (like 'St.' to 'Street'), and flag potential duplicates. This means less manual sifting for you and cleaner lists for everyone. It's like having a super-fast proofreader for your data.

Smart Query Generation

Ever struggled to remember the exact syntax for a complex SQL query? You'll use natural language prompts in tools like ChatGPT or CoPilot to generate SQL queries for your ad-hoc analysis. Just tell it what you need, and it'll give you a starting point, saving you loads of time and head-scratching.

Anomaly Detection Assistant

Set up AI-driven monitoring on key database metrics, like unsubscribe rates or data sync volumes. The AI will automatically flag statistically significant anomalies – for example, if an unsubscribe rate suddenly jumps for a specific segment. This helps you spot problems before they blow up.

Process Documentation Drafts

Got a new process you need to document? Instead of starting from scratch, you can feed an AI model a rough outline or even a screen recording. It'll then generate a detailed, step-by-step Standard Operating Procedure (SOP), complete with screenshots, ready for you to review and refine. It's a massive time-saver for those 'boring but necessary' tasks.

Common questions

Common questions

How do you become a Database Marketing Associate?

Common routes in include Marketing Internship / Assistant (6-12 months), Administrative Assistant (Data-Focused) (1-2 years) and Customer Service / Operations Support (1-2 years). Times vary with prior experience.

Where can a Database Marketing Associate progress to?

This role can lead on to Database Marketing Specialist (L2) (2-3 years), depending on the skills you build.

What level is a Database Marketing Associate in the UK?

This role aligns to RQF Level 2 on the UK framework, a guide to the depth of qualification it maps to, not a hard entry bar.

What new skills matter most for a Database Marketing Associate?

Increasingly, Prompt Engineering for Data Tasks. These are the areas where the higher-paid, future-proof work is heading.

The honest bit

You’ve started things before

Most of them were built for a room full of people who aren’t you. A cohort moves on whether or not your week allowed it, and by the third week the thing you’re behind on becomes the reason you stop opening it.

There’s no cohort here, and no timetable to fall behind. Before anything starts, Zavmo asks when you’re sharpest and how long you can realistically sit down for, then builds the sessions around those answers. A bad fortnight changes your pace. It doesn’t put you behind.

And you only pay once you start learning. Searching and planning are free, and you can cancel any time — so the cost of finding out is an afternoon, not a year.

What it costs

Less than one coaching session. Every month.

A single career-coaching hour costs more than a month of this, and it ends when the hour does. Zavmo doesn't. It's £70 a month, about £2.30 a day, for a companion that knows a Database Marketing Associate, works on the job you actually do, and keeps going at your pace rather than a timetable's.

  • Searching and planning stay free. You only pay when you start learning.
  • Your credits are yours. Regulated, and they don't vanish when a subscription ends.
  • Cancel any time and billing stops. No notice period, no minimum term.

Your path, personalised

You have the map. Walking it is the part we do together.

This route runs to 10 national skill standards. That is a real journey.

Zavmo shapes a learning experience as unique as you are. It fits how you learn, your pace and the work you already do. Every step stays benchmarked to recognised national standards. That’s the plan for becoming a Database Marketing Associate: personal to you, and it still counts. The first steps are free.

Independent research finds well-designed intelligent tutoring performs nearly as well as one-to-one human tutoring: VanLehn (2011), Educational Psychologist.

A private tutor in the UK averages £35–40 an hour . Zavmo is £70/month.

A real plan on learn.zavmo.ai: Ofqual-regulated units, credits, and a three-month run at your own pace.
Start free No commitment. See your first steps free.

15Where to go from here

Other roles at Level 2

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

Other roles in Marketing

Stay in the field you know and move sideways rather than up.

If you leave this industry

The skills you'll gain here – data cleaning, SQL, marketing automation, and an understanding of customer behaviour – are highly transferable. You could move into data roles in other departments (like Sales Operations or Finance), or even into broader data analysis or business intelligence positions in other industries. The demand for people who understand data is huge, everywhere.

Not sure this is the right direction?

Work out what you actually want from work first, then come back and see which roles fit it. Takes about ten minutes.

This role profile is © 2026Growth 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. Build my plan, free Here's the first ten minutes: a 2-minute confidence check → your personalised roadmap → meet the tutors matched to you. No card, cancel any time. 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.