The question I get most from people entering the field is what to learn in order to get hired. The usual answer is a list of tools: Meta ads, Google ads, analytics, Canva, a bit of SEO.
That list is not wrong, but it answers a different question. Those are the skills that get you past the filter on a job advert. The skills that keep you in the job are different, and nobody writes them down because they are awkward to phrase.
The skills that get you past the filter
These are real and necessary, and the good news is that they are learnable in a sensible order and almost entirely free.
Google publishes certifications in five product areas: Search, Display, Video, Shopping and Apps, and its own documentation is specific: you need a score of 80% or greater to pass, and the certification stays valid for one year before you have to sit it again.
That last detail matters more than the certificate. If the company that builds the platform considers the knowledge expired after twelve months, then the idea of finishing your learning does not exist in this field.
What the market actually asks for
- Paid advertising on at least one platform, properly. One platform you know well beats four you can open.
- Measurement. Being able to set up tracking, read a report, and say what the report cannot see.
- Writing. Not copywriting as an art. The ability to write one clear sentence explaining an offer.
- SEO fundamentals. At minimum, why one page appears and another does not.
- Excel or Sheets. The tool you will genuinely use every day, rather than the expensive ones.
If you want a sequence for that list, UCourses has a practical breakdown of how the modules of digital marketing fit together and what comes before what. I do not sell courses, but the order you learn in matters more than where you learn.
The skills that keep you
These are the ones that explain why two people take the same course and end up somewhere completely different.
- Saying you do not know. The most dangerous person on a marketing team is the one who invents an explanation for a number they do not understand, because they do not want to look uninformed.
- Separating your opinion from the data. Half of marketing meetings are lost to someone defending their taste while believing they are defending a strategy.
- Patience with a result. Turning a campaign off after two days does not save money. It only prevents you from learning anything.
- Explaining it to someone outside the field. This one affects promotions more than any technical skill.
Automation reordered the priorities
The genuine change of the last two years is that a large part of the manual work moved into the platform. Meta's developer documentation describes the Advantage+ family, which automates audience, placements and budget, and it states plainly that automatic placements are the default setting and require no action to opt into.
So the skill a media buyer boasted about in 2019, hand-tuning detailed targeting, is worth less now. What went up in value is judgement: which objective, how to evaluate the result, and when to let the system run rather than intervene.
Not a skill, but it counts
Documented work. I have argued before that certificates do not hire people and the work you can show does, and that still holds. One project you can narrate from beginning to end is worth more than five certificates.
If you are entering the field now
Do not start with the tool list. Start by understanding what the field is made of, which is what I set out in the different jobs in digital marketing, then build the foundation in order as in part two of the how to start series.
If you are heading for freelance work rather than employment, the order shifts and other skills enter, which is covered in how to start freelancing in marketing.
Three skills that are overrated
Not useless, but people put far more time into them than the return justifies, particularly in a first year.
- Design. Being able to produce a respectable post is fine. Turning into a designer while employed as a marketer is time stolen from a more valuable skill.
- Collecting automation tools. A new one appears every month, and chasing all of them means mastering none. Pick one and use it until it is boring.
- Memorising terminology. Knowing the name of every metric is not the same as being able to explain why one moved. The first shows up in meetings, the second shows up in results.
How to prove a skill before you have a job
This is where people get stuck, and the answer is simpler than they expect. You do not need a client to prove a skill. You need real work on real data.
- A tiny account with a genuinely small budget. Even a very small live spend teaches more than a full course, because it contains a decision and a consequence.
- A written teardown of somebody else's campaign. Their ads are publicly viewable. Write what you think of the targeting and the message, and what you would do differently.
- A project for someone you know. A shop, a clinic, a small business. Work free in exchange for permission to talk about the result afterwards.
What matters in all three is that you have a number before, a number after, and a story explaining the movement. That is the difference between saying you know Meta ads and saying you ran a campaign at a given budget, got a given result, and believe it happened for a specific reason.
The recurring question: specialise or stay broad?
My answer is that it is decided by the size of the company, not by preference. In a small company you will do everything whether you want to or not, so breadth is not a choice. In a large one, specialisation is what gets you promoted, because somebody else is doing the rest.
So the practical order is: start broad enough to understand what the field contains, then after a year or two pick the part you are faster at than other people and build on it. The people who reverse that order specialise before knowing what the alternatives were.
And a question about language
I get asked whether English is a requirement. The honest answer is that it is not required to work, but it is required to learn quickly. Platform documentation is published in English first, and translations arrive months later or not at all.
Reading level is enough. You do not need to speak fluently, you need to be able to open a documentation page and understand it without waiting for someone to summarise it. The gap between reading the source and waiting for the summary is months on every single update.
The honest limit
No list of skills guarantees a job, and anyone telling you otherwise is selling something. The market differs company by company, and some will ask for things that appear on no list anywhere. What I can say from actually training people is that the ones who last are the ones who learned how to think, not the ones who memorised the most tools.