LINKEDIN ADS COST CALCULATOR

Calculate Your Real
LinkedIn Ads Budget

The KlientBoost Reach Ratio™ is a custom formula our agency built to crunch the numbers and see how much clients need to spend to be successful with LinkedIn Ads.

(Audience × Reach × Frequency ÷ 1,000) × CPM ÷ Months

How to use The Reach Ratio™ to calculate your demand generation budget

  1. Find your CPM from LinkedIn Campaign Manager (set window to last 90 days)
  2. Enter your target audience size for your demand gen campaigns
  3. Set target audience penetration (goal should be 80%)
  4. Adjust frequency factor based on audience size guidelines (see below)
  5. Set months to 2x average sales cycle length
Frequency Factor Guidelines
10k+
10x
100k+
12x
1M+
14x
10M+
17x
100M+
19x
Your Campaign Inputs
From LinkedIn Campaign Manager estimator
Pull from your Campaign Manager
2x your avg sales cycle
Monthly impressions per person — based on audience size
80% recommended for demand gen campaigns
80%
Retargeting
+5%
Monthly Budget Needed
$7,301
Daily Budget
$243
Total Campaign
$43,805
People Reached / Mo
8,000
Total Impressions / Mo
80,000

LinkedIn recommends $25/day ($750/mo) — that would only reach 10% of this audience. Your calculated budget reaches 80%.

We deliver real results on LinkedIn for companies like yours.

LinkedIn Ads Budget FAQs -
Go Ahead, Stump Us

Anything missing? Include your question when getting your custom marketing plan.

How much should I spend on LinkedIn Ads?

It depends on your audience size, target reach, and how long your sales cycle is. Most B2B companies underspend on LinkedIn because they follow LinkedIn's default recommendation of $25/day — which typically only reaches 5–10% of a target audience. The Reach Ratio™ formula calculates the actual budget needed to reach 80% of your ICP, which is the threshold where demand generation starts compounding. For a 10,000-person audience with a 6-month sales cycle, expect to invest around $7,000–$8,000/month to hit that 80% penetration. See how KlientBoost's LinkedIn Ads team can help you get there.

What is a good CPM for LinkedIn Ads?

LinkedIn CPMs vary significantly by audience. Broad B2B targeting in the US currently averages around $90–$100. If you're targeting senior decision-makers (VP+ titles) in SaaS or financial services, expect CPMs between $120–$200. The best way to find your actual CPM is to pull it directly from LinkedIn Campaign Manager using a 90-day lookback window. Avoid relying on published benchmarks too much as every industry and target audience is different.

What is the Reach Ratio™ and how does the formula work?

The Reach Ratio™ is a budget-sizing formula developed by KlientBoost that calculates the minimum LinkedIn Ads spend needed to reach a meaningful percentage of your target audience. The formula is: (Audience Size × Target Reach × Frequency Factor ÷ 1,000) × CPM ÷ Months. It accounts for how many people you need to reach, how often they need to see your ads each month, what you're paying per 1,000 impressions, and how long your campaign needs to run based on your sales cycle.

Why does audience penetration matter for LinkedIn Ads?

Research consistently shows that only about 5% of B2B buyers are actively in-market at any given time. If your LinkedIn Ads only reach 10–20% of your target audience, you're missing the vast majority of future buyers who aren't searching yet but will be in 3–12 months. Reaching 80%+ of your audience with consistent frequency builds brand familiarity so that when those buyers do enter a buying cycle, your company is already top of mind. Underspending just makes the money you do put into LinkedIn Ads less effective.

What is frequency factor and how do I choose the right one?

Frequency factor is the number of times each person in your audience should see your ads per month. Smaller audiences (10k–50k) need a lower frequency factor (around 10x) because the ad platform can serve impressions more efficiently. Larger audiences (1M+) need higher frequency factors (14–17x) because LinkedIn's delivery algorithm spreads impressions more thinly across bigger pools. For more guidelines on what frequency factor you should aim for, check out the calculator at the top of this page!