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Digital & Tech Marketing

Every channel asks for something before it returns anything: money, patience, taste, or the nerve to be measured every week. Most marketing failures are a mismatch between that demand and the person paying it.

13 concepts · 2 courses · 28 certification exams · 3 related fields

Nobody picks a marketing channel by reading about what it demands. They read about what it returns, which is how a founder with no patience ends up committed to SEO and a founder with no budget ends up resenting Google Ads. The returns are mostly honest as far as they go. What the case studies leave out is the entry fee, and the fee is where people fail: not on strategy, not on craft, but on discovering six weeks in that the channel wanted something they did not have and were never going to acquire. Digital marketing reads as a single discipline because the tools all run in a browser, yet a working day inside a paid search account and a working day inside an editorial calendar have almost nothing in common. The first asks you to be numerate and unsentimental. The second asks you to keep producing for months while nothing measurable happens. A person can be excellent at either and hopeless at the other, and the cost of that mismatch lands long after the decision was made, when switching means starting the clock again at zero.

Channels charge in different currencies

Paid search takes money, and more importantly it takes a willingness to be told, in public and on a weekly cadence, that you were wrong. Google Ads settles arguments with a number attached, and plenty of capable people cannot work that way. Paid social on Meta takes money too, but it buys the attention of people who went looking for nothing, so it charges creative volume on top: you are paying to interrupt, and interruption has to earn the second it takes. Search visibility charges patience of an unusual kind, the sort that keeps producing on a schedule with no feedback for a season or two and then accepts a slow curve instead of a result anyone can point at in a meeting. Email and marketing automation charge administrative order: records that are clean enough to segment, a sending rhythm that survives busy weeks, and the restraint to leave the list alone when revenue looks soft. Organic social charges taste and frequency, and nothing substitutes for either. So if you run a local service business whose customers already have the problem and already type it into a search box, start with paid search, because the fee is money, the answer arrives within days, and you can switch it off. If you sell something nobody knows to look for yet, that same channel has very little to sell you.

  • Paid search wants numeracy and a thick skin. The account returns a verdict every week, and the verdict is frequently that your favourite idea lost money. Anyone whose response is to explain why the measurement misses the point should not hold the budget. They may even be right, and they will spend it proving so.
  • Paid social wants production. Meta sells interruption, and interruption gets refused unless something about it earns attention, so the format consumes creative faster than anything else in the mix. A business that can make one good asset a quarter is not equipped for it, whatever the targeting promises.
  • Search wants patience and a subject. It suits a company whose buyers investigate a problem before they choose a product, and it punishes anyone who needs the money back this quarter. If nobody will write, or commission writing, month after month, do not begin: this fee is paid in instalments and stopping halfway buys nothing at all.
  • Email and automation want order. Clean records, a schedule that survives a bad month, and the judgement to send less than you are tempted to. Mailchimp, or any other sender, will deliver precisely what you hand it, which is the risk: automating a message that does not persuade in person produces a message that does not persuade on a timer.
  • Organic social wants taste and a face. Being liked does most of the work there, and it cannot be handed to a tool or to a junior with a content calendar. If no one in the company is willing to be visible, and occasionally wrong in public, put the effort somewhere it is not required.

The number that cannot be gamed

There is a quick test for any figure on any dashboard: could you improve it by making the business worse? Impressions rise when you loosen targeting. Click-through rises when the headline promises more than the page delivers. Sessions in Google Analytics rise when you buy the cheapest traffic available. Each of those moves the figure in the direction the dashboard calls good while moving the company in the other direction, and that is what an input is: a quantity that answers to effort without caring whether the effort was worth making. One pair survives it: acquisition cost per customer, weighed against that customer's eventual value. Cheap traffic that does not buy raises the acquisition cost rather than lowering it. A headline that oversells shortens the relationship and lifts refunds, so it lands on the value side instead. Cheating moves both halves against you, which is the property you want and also the reason the pair is so rarely on screen: neither half lives inside an advertising platform. The cost side is roughly knowable there; the worth side needs order records, a CRM such as HubSpot or Salesforce, or at minimum a spreadsheet somebody maintains with care. Return on ad spend as reported inside Google Ads is a platform's account of its own performance, computed over the conversions it chose to claim, and it is an input dressed as an outcome. Generative tools have altered the fee schedule rather than the returns. Production got cheap across every channel at once and judgement did not, so the working consequence is that being ordinary now costs more than it used to: competent copy, competent creative and competent pages have become the floor rather than the difference, and the channels that charged taste have put their price up. For the opposite cut of this field, channel by channel and by what each one gives back, the learning path for digital marketing is the companion read, and anyone running a shop should take it alongside the e-commerce section, since a checkout that leaks undoes a campaign that works.

The field is mapped topic by topic, with its certifications and guides, at Digital Marketing.

Concepts

Digital & Tech Marketing

Digital Marketing

Digital marketing is the trade name for every commercial activity that reaches a buyer through a screen, gathered under one heading because the work is bought, delivered and counted through the same few platforms rather than because the activities resemble one another.

Digital & Tech Marketing

SEO (Search Engine Optimization)

SEO is the work of being retrievable and worth retrieving: legible to the systems that crawl, index and select sources, and useful enough at the moment of the query that somebody still opens the page instead of accepting the answer printed above it.

Digital & Tech Marketing

Marketing Automation

Marketing automation is software that sends a decided message when a contact does a decided thing, which makes it a delivery mechanism for judgements somebody has already formed rather than a way of avoiding them.

Digital & Tech Marketing

Pay-Per-Click (PPC) Advertising

Pay-per-click is advertising bought by the click rather than by the impression: an advertiser bids on the searches or placements it wants to appear for, and pays only when someone clicks the ad, with each click priced by an auction run at the moment the page loads.

Digital & Tech Marketing

Keyword Research

Keyword research is the work of finding out which queries people type when they want what a business offers, how many of them there are, what each query means and what competing for it costs, before any page is written or any ad is bought.

Digital & Tech Marketing

Conversion Rate Optimisation (CRO)

Conversion rate optimisation is the practice of raising the share of visitors who complete the action a page exists for, a purchase, a sign-up, an enquiry, by changing the page and the path to it on evidence rather than opinion.

Digital & Tech Marketing

A/B Testing

A/B testing is a controlled experiment on a live audience: visitors are assigned at random to two or more versions of a page, an email or a feature, and the versions are compared on one pre-chosen outcome so that the difference can be attributed to the change rather than to who happened to see it.

Digital & Tech Marketing

Retargeting (Remarketing)

Retargeting is advertising shown to people because of something they did before: visited a site, viewed a product, abandoned a basket or appeared on a customer list, with the ad platform recognising them later on other sites, in search results or in a video feed and serving an ad tied to that earlier action.

Digital & Tech Marketing

Content Marketing

Content marketing is the practice of earning customers by publishing material they want for its own sake, guides, comparisons, tools, data, video, so that the people who need what a business sells find it, trust it and come back, instead of being interrupted by an advertisement.

Digital & Tech Marketing

Marketing Funnel

The marketing funnel is a model of how strangers become customers in stages, awareness, interest, consideration, purchase, with fewer people at each stage than the one before, used to decide which message, channel and measure belong to which stage.

Digital & Tech Marketing

Marketing Attribution

Marketing attribution is the assignment of credit for a sale or a sign-up to the advertisements, searches, emails and visits that preceded it, according to a rule called an attribution model, so that each channel's reported results reflect its share of the outcomes it helped cause.

Digital & Tech Marketing

Return on Ad Spend (ROAS)

Return on ad spend is the revenue a campaign produced divided by what it cost, expressed as a ratio or a percentage: five pounds of sales for every pound of advertising is a ROAS of 5, or 500 per cent, and the number only becomes a decision once it is compared with the margin on those sales.

Data & Analytics

Data Analysis

Data analysis is the practice of interrogating data to answer a specific question, and of establishing how much weight the answer can bear.

Courses in this topic

Related fields

  • Data & Analytics

    Marketing is the most common place analysts first get paid to test a hypothesis.

  • Design Assets & Licensing

    Campaign creative is mostly licensed media and templates; the licence decides where it may run.

  • Freelance Work

    Most freelance briefs are marketing briefs; scoping them well is half the work.

FAQ

How do I work out which fee I can pay?
Look at what you already do without being made to. If you check numbers for pleasure, paid media will suit you. If you have written or filmed consistently for a year with nobody watching, search and content will pay you back. If your desk is organised, email and automation are yours. What suits a person is usually visible in their own habits rather than in a strategy document.
Can I hire the thing a channel demands instead of having it?
Partly, and less than agencies imply. You can buy execution: someone to build the campaigns, write the pages, keep the sends going. What cannot be outsourced is the temperament that decides to continue. Search programmes die when the owner loses faith in month five, and paid accounts drift when nobody internally wants to read the report. Hire the skill, but only into a channel whose demands you can personally live with.
What do I measure before there are enough sales to judge?
Measure the steps you can still verify by hand: who asked, what they asked about, and what happened next. A short list of enquiries with sources written next to them does more than a dashboard at this stage, because you can still remember every entry. Build the acquisition-cost picture the moment the volume outgrows your memory, and keep the source field filled in from the first week so the history exists when you need it.
Does generative AI change which channel to pick?
It changes the price of two of them. Channels that ran on production volume got cheaper to operate, and channels that ran on taste got harder, because everyone now clears the competent bar and clearing it distinguishes nobody. The practical move is to spend the time the tools freed on the parts they cannot do: deciding what deserves to be said, and checking whether the money came back.

Last reviewed 26 September 2026 · Getting Digital