# How much does it actually cost to advertise a startup?

> Real 2026 numbers for the cost to advertise a startup: per-click and per-thousand prices, the minimum useful budget for each channel, and the free tier.

Published 2026-09-01 · 5 min read · cost-to-advertise-a-startup, advertising, pricing
Canonical: https://bidsurvivor.space/blog/how-much-does-it-cost-to-advertise-a-startup

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The honest answer to "what is the cost to advertise a startup" is a range from $0 to unlimited, so here is the useful version: what each channel costs *per unit*, and the minimum spend at which that channel produces a decision rather than noise. (Disclosure: published by [BidSurvivor](https://bidsurvivor.space), which appears in the $0 row, so weigh that row accordingly.)

## The unit prices, 2026

| Channel | Unit price | Minimum useful budget |
|---|---|---|
| Google Search | ~$5.42/click (all-industry avg; B2B higher) | ~$500–1,000 to exit learning + get a sample |
| Meta | ~$0.50–2.00/click consumer, more B2B | ~$300–500 for creative testing |
| LinkedIn | ~$5–15/click, $10/day floor | ~$1,000+ (B2B only) |
| Newsletter one-offs | ~$50–500/placement | One placement — genuinely $50 |
| EthicalAds/dev networks | published CPMs, low hundreds min | ~$200–300 |
| Directories, launches | $0 | $0 |
| BidSurvivor slot | $0 empty, $1+ contested, $5,000 cap | $0 — credit covers the rest |

The Google figure is WordStream's [2026 all-industry average](https://www.wordstream.com/blog/2026-google-ads-benchmarks); the rest are the ranges we and the founders we talk to keep seeing, and you should treat them as "roughly" rather than as a rate card. The pattern worth noticing: the platforms with the highest ceilings also have the highest *floor of usefulness*. Two Google clicks teach you nothing — the sample-size arithmetic is in [what $200 buys on Google Ads](/blog/what-200-dollars-buys-you-on-google-ads) — so their real entry cost is the learning budget, not the first click.

## The costs that are not on the rate card

Three of them, and they are usually larger than the media spend on a first campaign.

**Creative.** A search campaign needs a dozen headlines and a handful of descriptions; a Meta campaign needs images or video that survive scrolling; a newsletter placement needs a paragraph that doesn't read like an ad. Do it yourself and it costs hours; pay someone and it costs more than the $200 test it was meant to feed.

**The landing page.** Every paid click lands somewhere, and a page that converts at 1% makes every channel five times more expensive than a page that converts at 5%. This is the cheapest lever in the whole list and the one most founders pull last — [homepage vs landing page](/blog/homepage-vs-landing-page) is the short version.

**Your hours.** A platform that wants $500 to leave its learning phase also wants a week of your attention to babysit it. At any honest hourly rate, that week costs more than the budget.

## What stage sets the budget

**Pre-product-market-fit: $0–100.** You're buying information, not customers, and information is cheap: launches, directories, free slot tests. Our board sits here — [BidSurvivor](https://bidsurvivor.space) sells two twelve-hour slots a day, first claim free, $1.00 outbid floor, $100 house credit for every visitor, account or not, results published on the front page and each brand's page — because at this stage the question is "does anyone click on this pitch at all", and that question shouldn't cost money to ask. The full rules, including the no-refund rule for outbids, are in [how BidSurvivor works](/blog/how-bidsurvivor-works).

**Post-fit, pre-scale: $500–3,000/month.** Enough to run one paid channel properly (not three badly): a keyword cluster on search, or a newsletter circuit, or a social creative programme. The goal is one channel whose cost-per-customer you know cold.

**Scaling: whatever the maths supports.** Once cost-per-customer is reliably below customer value, budget stops being a decision and becomes a dial.

## A worked example: $300, two ways

Say you have $300 and a landing page that converts visitors to sign-ups at 3%.

**Split three ways.** $100 on Google at ~$5.42 a click is 18 clicks and, at 3%, roughly half a sign-up. $100 on Meta at $1 a click is 100 clicks and three sign-ups. $100 on LinkedIn at $10 a click is ten clicks and, most likely, nothing. You have spent $300 and learned that Meta "won" with a sample of three — which is not learning, it is a coin that landed the same way three times.

**All on one channel.** $300 on Meta at $1 a click is 300 clicks and about nine sign-ups. Nine is still a small number, but it is enough to see whether the page converts at 1% or 5%, and whether the people signing up are the people you wanted. That is a decision.

The rule generalises: below a few hundred clicks on one channel, you are not testing a channel, you are sampling noise. Which is why the "minimum useful budget" column above is the one to read, not the "unit price" column.

## When paid is the wrong answer entirely

A counter-argument, because this page would be dishonest without it. If search is sending your category fewer clicks than it did — and for most informational queries it now is — then the arithmetic of paid versus organic changes with it; we run that comparison in [paid vs organic when search sends fewer clicks](/blog/paid-vs-organic-when-search-sends-fewer-clicks). And below about $50, most paid channels are worse than the free ones: a launch on a listing site, a genuinely useful answer in a forum thread, an empty slot on a public board. [How to spend exactly $50](/blog/50-dollar-advertising-budget) is the short version of that argument.

## The only formula that matters

Channel price ÷ (your conversion rate) = cost per customer. The [ad budget calculator](/tools/ad-calculator) does that division for any channel. Every channel above is cheap or expensive only through that lens — a $15 LinkedIn click that converts at 10% beats a $0.50 Meta click that converts at 0.1%. Which is the real answer to the headline: advertising costs whatever your conversion rate makes it cost, and the cheapest thing a startup can buy first is knowledge of that rate.