Algeria AgencyDigital marketing
What advertising budget to set — and how to know
There is no published rate card for Algeria. Here is what the available data actually lets you conclude.
The question always arrives in the same order: "how much should we put in?", then "and what does it return?". Both are fair and only the second matters, but almost nobody can answer it because almost nobody measures what comes out.
Let us say it straight away: there is no published cost-per-click benchmark for Algeria. None. The only numeric reference points available are American, in dollars, and presenting them as your budget would be a lie made entirely of true numbers.
They are still good for something, and this article explains what: they show the spread between sectors, which is a property of auctions and not of a currency. An expensive sector is expensive everywhere, for the same reason.
The rest is a method for setting a starting budget from your own numbers — your margin, your basket, your conversion rate — because those are the only ones that describe your business.
What an advertising budget actually buys
An advertising budget does not buy sales. It buys visits, and the step from visit to sale depends entirely on what is on the page the visitor lands on. That is why the same sum produces results varying by a factor of ten between two businesses in the same sector.
This has an unwelcome and useful consequence: while the landing page is poor, raising the budget raises the waste proportionally. Advertising amplifies what exists; it does not repair it.
So the first question is not "how much to spend" but "what happens today when a hundred people arrive on this page". If you do not know, the budget is not yet worth discussing.
There is a simple way to make that idea concrete before spending anything. Take the last hundred people who arrived on the page you want to promote, and count how many did what you wanted them to. If you cannot answer, the problem is not that the measurement is missing: it is that advertising would fund a journey nobody knows the end of.
Where people actually are, in Algeria
Before talking about money, it helps to know where it will be spent. According to figures published by DataReportal for Algeria, the country had 27.5 million social media identities in October 2025, equal to 57.7% of the population.
The distribution matters more than the total. Facebook remains the most used platform with 25.6 million users, followed by TikTok at 21.1 million — up sharply from 17.42 million — and Instagram at 12 million.
Two practical conclusions. First, the audience exists at a scale that retires the "are my customers online" debate. Second, TikTok’s growth is the most actionable item in the table: a fast-growing audience is one where attention still costs less than it will in two years.
One nuance is worth adding about these platforms: their relative weight depends heavily on age and sector. Customers over forty are overwhelmingly on Facebook; customers under twenty-five spend most of their time elsewhere. The national ranking does not replace the question of who, precisely, buys from you.
DataReportal, Digital 2026 Algeria — October 2025 figures
The cost of a click does not exist on its own
There is no price of a click, there is the price of a click in your sector. Figures published by WordStream for 2025 — American, in dollars — give the measure of the spread: the most expensive click they record is dentists at $9.78, the cheapest restaurants at $0.74.
A factor of thirteen between two sectors, on the same platform, in the same year. This is not an American quirk: it is how an auction works. Where the value of a customer is high and competitors know it, the click rises until the last bidder’s margin is thin.
Take the shape, not the amounts. If you are in a high-value sector, expect an expensive click and judge on cost per customer, never on cost per click. In a low-basket sector, the reverse: the click will be cheap and volume has to do the work.
A useful corollary when negotiating: when a supplier offers you a "guaranteed" cost per click, they are promising something that does not depend on them. The price is set by an auction your competitors take part in, and it rises when they decide to put more in. What can be promised is a method and a measuring cadence, not a purchase price.
WordStream, 2025 benchmarks — US market, in dollars
Cost per lead varies by a factor of twenty-four
The same source gives, for lead-objective campaigns, an average of $27.66 per lead, with a range running from $3.16 to $76.71 depending on sector.
An average bracketed by extremes like those means nothing applied to a single case, and that is precisely the trap in these tables: they get quoted for the average when their only useful information is the amplitude.
What it tells you concretely: if someone quotes you a cost per lead before seeing your sector, your offer and your page, they are improvising. The right answer to "what does a lead cost" is "let us measure it over three weeks", and any other answer is a sales pitch.
Look at the spread inside your own account too, not only between sectors. It is common for one ad to cost a third of another in the same campaign, to the same audience — and that is where the most accessible gain sits, because it needs neither extra budget nor negotiation: it needs the expensive one switched off.
WordStream, 2025 benchmarks — US market, in dollars
What a normal click-through rate looks like
Click-through rate is the first signal telling you whether your ad speaks to anyone. On Meta, the American reference points put a healthy rate between 1.4% and 2.2%, and the lowest sectors recorded sit around 1%.
That number travels better than the amounts, because it depends on no currency: it is a proportion of people who, having seen an ad, wanted to click. A rate far below 1% means the same thing everywhere — the ad is not addressing the right people, or it says nothing.
Use it as an early test rather than a final target. A campaign at 0.4% does not need more budget, it needs a different ad or different targeting, and knowing that after three days costs far less than discovering it after a month.
A last remark on using this indicator: it decays over time even when nothing changes. An ad shown too often to the same people sees its click-through rate fall mechanically, without the message having become bad. That is fatigue, it is normal, and it is fixed by refreshing the ad rather than raising the bid.
| Sector | Click-through rate |
|---|---|
| Healthy reference, all sectors | 1.4% to 2.2% |
| Dentists | 1.05% |
| Furniture | 1.48% |
| Health and fitness | 1.72% |
WordStream, 2025 benchmarks — US market
Why these numbers are not your budget
Everything above comes from the American market. Purchasing power, advertiser density, the cost of acquiring a customer and the value of a conversion are all different there, and no honest coefficient converts one into the other.
We looked for a published Algerian equivalent for this article. There is none: neither the platforms nor local agencies publish a per-sector benchmark, and the numbers circulating in sales decks are portfolio averages presented without a method. We would rather write that a figure is missing than manufacture one.
What the American data legitimately gives you is the structure: the order of magnitude of the gaps between sectors, the fact that a global average is meaningless, and the thresholds beyond which a click-through rate is abnormal. That is already a lot, and it is all.
We deliberately leave one question open rather than answering it for you: we do not know whether the ratio between sectors observed in the United States holds in Algeria. It is plausible that it does, since the auction mechanism is the same, and it is possible that it is softened by less dense advertiser competition. Nobody has measured it publicly.
How to set a starting budget from your own numbers
Start from the end. Take the margin an average sale leaves you, decide what share of it you accept spending to acquire a customer, and you have the maximum cost per customer you can pay. That number is the only ceiling that concerns you.
Then estimate how many leads it takes to make a sale. If your team converts one lead in five, your acceptable cost per lead is a fifth of the cost per customer. You now have a numeric target derived from your business and nobody else’s.
The starting budget is then whatever it takes to get enough leads for the result to be readable — not enough to succeed, enough to know. In practice, aim for several dozen conversions before concluding anything: below that, you are interpreting noise.
Do that calculation in writing and keep it. It will serve twice: once to decide the budget, and again three months later, when the temptation will be strong to judge the campaign on a general impression rather than on the ceiling you set yourself with full knowledge.
The minimum structure of an account you can steer
One campaign per objective, not one campaign per idea. Mixing awareness and sales in the same campaign makes the result uninterpretable, because the platform optimises toward the declared objective and you will not know which one it served.
At least two ads per group, differing on one thing at a time — the hook, or the image, never both. That is the only way to learn anything from the comparison, and it costs nothing extra.
And one landing page per offer. Sending all traffic to the home page is the most common and most expensive mistake: the visitor clicked a specific promise and lands on a table of contents, where they have to redo for themselves the journey the ad had just taken them on.
Add a naming convention before the first campaign, however trivial that sounds. An account whose campaigns are called "Test", "Test 2" and "new" becomes unreadable within three months, including to the person who created them, and analysing what worked becomes impossible at the precise moment it would become useful.
What to measure, and what to ignore
Measure cost per lead, cost per customer, and the share of leads your team actually reaches. Those three describe the economics of your advertising, and the third is nearly always the forgotten one despite being the easiest to improve.
Ignore impressions, reach and likes. They are not false numbers, they are numbers that go up regardless: they grow with the budget while saying nothing about the outcome, which makes them exactly the metrics presented when the others are unavailable.
Click-through rate sits in between: a good early warning and a poor final target. An ad can have an excellent click-through rate and sell nothing, usually because it promises something the page does not deliver.
A word on the dashboards the platforms provide: they are built to show activity, not profitability. They put what is rising at the top and leave what you paid per customer at the bottom. That does not make them dishonest, it makes them unsuited to a decision — which is why the three figures above are read off by hand.
Three ways to burn a budget
The first is changing something every other day. Each edit resets the platform’s learning, and an account under constant revision never reaches the phase where it becomes efficient. Let it run long enough for a result to exist.
The second is advertising to a page that does not convert. It is the first point of this article and the most regularly observed expense: the budget is real, the traffic is real, the page loses everyone at the same spot and nobody looks at where.
The third is stopping too early. A campaign cut after ten days for producing nothing has often been cut before producing enough data to say whether it was producing anything. It is the exact mirror of the first mistake, and it costs the whole of what was spent.
There is a fourth, rarer and more expensive: handing advertising to somebody without giving them access to sales results. An account optimised toward clicks produces clicks, and an account optimised toward customers produces customers; with no feedback on what sold, even a good supplier optimises toward the only number they were shown.
When to stop, and when to double
Stop when cost per customer sits durably above the ceiling you calculated at the start, and two attempts at the ad and one at the targeting have not changed the trajectory. At that point the problem is no longer in the ad account.
Double when cost per customer is clearly under your ceiling and handling capacity keeps up. That last condition is the forgotten one: doubling the budget of a working campaign when nobody can call the leads back turns a success into a damaged reputation.
And in between, do nothing. Most of the work on an advertising account consists of not touching it while data accumulates, which is the hardest part to bill for and the most useful.
And keep a third option in reserve, between stopping and doubling: pausing. A paused campaign keeps its history and can be restarted, which helps when the cause of failure is seasonal or a stock shortage. Deleting, by contrast, throws away the accumulated learning, and it is the action most often regretted.
What we do, and what we refuse to promise
We start with the ceiling, not the campaign. Margin per sale, acceptable share for acquisition, leads per sale: those three numbers are yours and we establish them with you before any platform is discussed. An agency proposing a budget before seeing them is proposing a budget at random.
We then look at the landing page before buying a single click. That is the first point of this article and we apply it to ourselves: if the page loses the visitors it already receives, we tell you to fix the page first, even if that postpones the campaign you came to order.
We build the account so it can be read: one campaign per objective, two ads per group differing on one thing, one page per offer, and a written naming convention. Then we let it run long enough for a result to exist, which is the hardest part to bill for and the most useful.
What we do not promise: a cost per click, a cost per lead, or a quantified return. Those promises assume knowledge of an auction your competitors take part in, and no Algerian benchmark supports them — that is the subject of this article’s sixth section. We commit to a method, a measuring cadence, and figures handed over exactly as they come out.
Frequently asked questions
Is there a reference cost per click for Algeria?
No, no public per-sector benchmark is published. The available reference points are American; they show the spread between sectors, not what you will pay. Treat any local figure quoted without a method with suspicion.
What is the minimum budget to start with?
Whatever produces enough conversions to be readable — several dozen before drawing a conclusion. Below that you are not measuring performance, you are interpreting noise.
Should we start with Facebook, Instagram or TikTok?
With the platform your customers are on. Facebook is the broadest in Algeria, TikTok the fastest growing; the right answer depends on your customers’ age, not on a general ranking.
How long before we see a result?
Count several weeks before a solid conclusion. The first three days are for spotting a clearly bad ad, not for judging a campaign.
Better to hire an agency or run it in-house?
The real question is who calls the leads back. A well-run account feeding a team that does not answer costs more than a mediocre account wired to someone responsive.
Why do my ads cost more than they used to?
Usually because competition for your audience rose, sometimes because the ad wore out. Compare the click-through rate with the first month’s: if it fell, it is the ad; if it held, it is the auction.
Where we come in
The ceiling is calculated before the campaign, from your margin and your conversion rate. Two numbers you already hold and that a supplier almost never asks for.
- We start from your margin per sale and how many contacts it takes to close one.
- We write a monthly ceiling and do not pass it without your agreement.
- We hand you the advertising account in your name, with its spend history.
We put no figure on a cost per lead before spending at your company: that promise assumes a market nobody publishes here.
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