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Marketing specialist — tasks, one by one
The unit of analysis is the task, not the job title. Each one below carries its direction, whether the judgement rests on evidence or on platform inference, the reasoning, and what it does not establish.
Every task on this page#
Producing campaign content
Automating✓ Evidence-backedPosts, ad creative variants, landing page copy, email drafts, short videos — the raw material of every campaign.
Generating on-brief text, image and increasingly video variants is now nearly free, and platforms are building the generation into their ad tools directly. The marketer's hours here shrink because the platform does the production as part of placing the ad, not because a separate tool was adopted.
When the platform generates the creative as part of placing the ad, the saving accrues to the platform's margin and the advertiser's budget, not to the marketer's time. The hours vanish without anything replacing what they paid for.
Running paid media
Automating✓ Evidence-backedSetting up, bidding, targeting and optimising campaigns on ad platforms.
The platforms have spent a decade absorbing this task into automated bidding and audience expansion, and the current products ask for a budget and a goal rather than a set of manual levers. The hands-on optimisation that used to be a specialist skill is being deprecated by the vendors themselves.
Platform automation optimises for the platform's metrics. Knowing when the reported result is not the real business result is still a human job, and a well-paid one.
Understanding who actually buys and why
Still human-led≈ Platform inferenceTalking to customers, reading the sales calls, knowing what objection kills the deal and what phrase closes it.
This knowledge is not in any dataset the tools can reach; it lives in conversations and in the gap between what customers say and do. It is also the input everything else depends on — a campaign built on a wrong audience model fails regardless of how well it is produced.
Knowing the customer is undisputed and rarely resourced. It is the first thing cut when a team shrinks, precisely because nothing breaks visibly that quarter.
Deciding where the money goes
Being augmented≈ Platform inferenceChoosing channels, sequencing launches, allocating budget, and defending those choices to whoever signs the cheque.
Analysis of past performance is faster and attribution tooling is better, so the decision is better informed. It remains a decision made under uncertainty with organisational politics attached, and the person who makes it is accountable for the quarter's number in a way no tool is.
Allocation is one person's job on most teams. Protecting it protects the head of marketing, not the specialists whose production work was the rest of the department.
Operating the marketing automation itself
New task✓ Evidence-backedDesigning the prompts, workflows and guardrails that let tools produce and place content without embarrassing the brand.
When production is automated, someone has to specify it, review the failures and decide what the machine is never allowed to say. This role is appearing under various titles and is where the production hours that disappeared are partly reappearing — as supervision rather than making.
The site's own phrasing is that the production hours reappear 'partly' as supervision. Partly is the operative word: supervision of many automated channels is fewer hours than producing for them was.