Published list prices only tell you what a plan costs per month. These three worked scenarios show what a whole activity costs, including the option of spending nothing at all, which is a genuine choice in every one of them.
The most common situation and the one where paid tiers are marketed hardest. Every platform involved is free for job seekers at the base level, so any spending here is optional and should be tied to a limit you have actually hit.
The realistic reason to pay is message allowance: reaching hiring managers outside your network. If you are not going to send those messages, the subscription buys features you will not use.
The free route covers the whole activity. Paid tiers buy contact volume, and no provider publishes evidence that they change hiring outcomes.
The economics here are different because the main cost is usually a percentage rather than a subscription. A marketplace fee scales with what you earn, which makes it invisible on a pricing page and significant over a year.
Portfolio and network platforms charge nothing to publish, but they also do nothing to find clients for you, so the effective cost is your own time.
Compare a commission against a subscription at your actual annual billings, not at the headline rate. The cheaper option changes as volume grows.
This is where the two pricing models diverge most sharply. Per-post and per-click pricing scale with the number of roles. Seat licences do not, which makes them efficient for continuous hiring and expensive for a single vacancy.
The hidden cost on the cheap side is screening time. A high volume of applications is not free, it just moves the cost from a card to a calendar.
Count roles per year before choosing a model. One hire almost never justifies a seat licence, and ten often does.
All figures are indicative United States list rates observed in August 2026 and are shown for orientation. Actual prices vary by country, currency, promotion and account age. LinkedIn applied cohort-based pricing during 2026, so two subscribers can be quoted different rates for the same plan.
The scenarios are illustrative constructions, not case studies of real people, and no result is being predicted. They show how costs behave under different patterns of use, which is a different thing from showing what any individual will spend or achieve.
Nothing here recommends a platform or a plan. Where a scenario notes that the free route covers the activity, that reflects published feature scope and not a judgement about how well any option works.