How Much Should You Spend on Ads for Your SaaS

The question isn't how much to spend on ads - it's whether you know what a customer is worth before you decide how much to pay for one. 63% of early-stage SaaS founders start paid ads before calculating their LTV:CAC ratio. Spending without that number means you can't tell if the channel is working, even when it's generating clicks, trials, and signups.

Why this happens

The pull toward paid ads is understandable: they're fast, measurable at the surface level, and feel like action. But fast feedback on the wrong metric - clicks, CTR, signups - creates the illusion of progress while the actual question (is this channel profitable?) goes unanswered.

The deeper problem is that ad platforms are designed to show you the metrics that look best, not the metrics that matter. A campaign with a $3 CPC and a 5% click-through rate can still be destroying capital if the customers it generates churn in 60 days. You don't know whether paid ads are working unless you know your LTV, your CAC from the channel, and your payback period - three numbers most early-stage founders haven't calculated before they start spending.

What to check first

Before committing to a paid ad budget, run through these diagnostic questions:

Do you know your current CAC from other channels? If you've been acquiring customers through content, referrals, or outbound, you already have a CAC benchmark. Paid ads need to beat or match that number to be worth the additional complexity.
Do you know your average LTV? LTV is average contract value multiplied by average customer lifetime in months. If you don't know either of those numbers, you're not ready to set a paid budget - you're guessing.
Have you validated your conversion funnel with organic traffic before paying for traffic? If your landing page doesn't convert organic visitors at a rate that would be profitable under your target CAC, it won't convert paid visitors either. Organic traffic validation is the prerequisite, not an optional step.
Do you have a specific audience hypothesis to test? "Let's try Facebook ads" is not a testable hypothesis. "VP of Marketing at 50-500 person B2B SaaS companies respond to creative about marketing attribution" is.

How to fix it

Three steps, in order:

Step 1: Calculate your LTV. Average monthly contract value multiplied by average customer lifetime in months. If you don't have enough data to calculate average lifetime, use your best estimate and revisit it every 90 days as more data accumulates.

Step 2: Set your CAC ceiling. Target a 3:1 LTV:CAC ratio at minimum - meaning you can spend up to one-third of LTV to acquire a customer while staying profitable. A 3:1 ratio means you recover CAC in approximately 4 months of customer lifetime. More conservative targets (4:1 or 5:1) are appropriate for early-stage companies with limited runway.

Step 3: Start with $500-1,000 to test, not to scale. The goal of the first month of paid ads is to answer two questions: does this audience respond to this creative, and does the traffic convert at a rate consistent with your CAC ceiling? You don't need $10,000 to answer those questions. You need enough budget to generate 50-100 clicks to a page where you can observe conversion behavior.

Paid ads amplify what's already working. If your landing page converts 0.5% of organic visitors and you need 2% to hit your CAC ceiling, more traffic is not the solution. Fix the conversion rate first - through better positioning, clearer value proposition, stronger proof points - then scale spend on a funnel that converts.

The founders who spend confidently on paid ads are the ones who know their LTV:CAC ratio before they open the campaign manager.

Remove the guesswork

Knowing whether your ad spend is producing profitable customers requires attribution that goes past the ad platform's last-touch reporting. RightAd connects spend to LTV-adjusted revenue so you can see your real CAC and payback period by channel, campaign, and creative.

See how RightAd works