Calculate ROAS, CPA, LTV:CAC ratio, and marketing ROI. Compare your ad performance against industry benchmarks for Google, Facebook, LinkedIn, and more.
Every marketing dollar should work harder than the last. Online marketing ROI analysis converts raw ad spending data - clicks, impressions, conversions - into actionable financial metrics that determine whether your campaigns are profitable or bleeding money. It is most useful when a channel is driving traffic but you still need to know whether that traffic is actually paying back after acquisition cost and margin.
The key metrics include ROAS (Return on Ad Spend), CPA (Cost per Acquisition), and the LTV:CAC ratio (Customer Lifetime Value divided by Customer Acquisition Cost). ROAS tells you how many revenue dollars each ad dollar generates. CPA reveals the true cost of each customer. The LTV:CAC ratio determines whether your business model is sustainable - most investors want to see 3× or higher. Those figures mean different things for e-commerce, SaaS, and lead-gen businesses, so the calculator keeps them visible together instead of reducing everything to one headline ratio.
This calculator computes the core marketing metrics, provides a quick ROAS readout, shows improvement scenarios, and benchmarks performance across the major paid channels. The result is a cleaner view of whether the campaign is creating durable profit or only producing expensive top-line growth. It is especially helpful when you need to compare channel performance after accounting for customer lifetime, not just the first conversion.
Marketing without measurement makes it easy to overspend on channels that look busy but do not pay back. This calculator translates campaign inputs into ROAS, CPA, and LTV:CAC so you can see which channels deserve more budget, which ones need optimization, and which ones should be paused before they burn more cash. It also helps you separate short-term revenue from long-term customer value, which is the difference between a campaign that looks good and a campaign that is actually scalable.
ROAS = Revenue / Ad Spend ROI = (Revenue − Spend) / Spend × 100 CPA = Ad Spend / New Customers LTV:CAC = Lifetime Value / CPA CTR = Clicks / Impressions × 100 CPC = Ad Spend / Clicks CPM = (Ad Spend / Impressions) × 1000
Result: ROAS: 1.2×, CPA: $100, LTV:CAC: 12×
$6K revenue on $5K spend gives a modest 1.2× ROAS monthly. But with $1,200 LTV and $100 CPA, the LTV:CAC ratio is 12× — extremely healthy. The initial campaign is nearly break-even but customer lifetime value makes it highly profitable.
A campaign can post a respectable ROAS and still destroy value if gross margins are thin, returns are high, or fulfillment costs eat the contribution profit. Use the calculator with a clear view of contribution margin so you can judge whether the campaign actually produces cash instead of only top-line revenue.
Prospecting, retargeting, branded search, and lifecycle campaigns should not be judged on one headline number. Retargeting often wins on short-term ROAS, while prospecting may create the first touch that pays back later. Review CPA and LTV:CAC by channel before cutting spend just because one campaign has a lower immediate ROAS.
Monthly attributed revenue can understate value for subscription, repeat-purchase, or lead-generation businesses. If acquisition payback happens over multiple months, compare initial performance with expected lifetime value and cash payback period. That gives you a more realistic basis for deciding whether to scale or stop.
It depends on margins. For e-commerce with a 50% margin, 2× ROAS can break even. For SaaS with an 80% margin, 1.25× may be breakeven, and many businesses still target 3-5× as a comfort zone.
3:1 or higher is considered healthy by VCs and growth experts. Below 1:1 means you lose money on every customer, while above 5:1 may mean you are underinvesting in acquisition.
CPA is better for customer-focused businesses such as SaaS and subscriptions where lifetime value matters. ROAS is better for transactional businesses like e-commerce with lower repeat rates, but the right choice depends on the business model.
Use UTM parameters, conversion tracking pixels, and multi-touch attribution models. Platform-reported conversions may overcount due to attribution window overlap, so the attribution method should be stated alongside the result.
You are spending more than you earn from ads. Either optimize creative and targeting, reduce spend, or calculate whether lifetime value makes the acquisition profitable over time.
Benchmarks vary significantly by industry, geography, and product. Use them as directional guides, not absolute targets, and compare them with your own historical data before making budget decisions.