Ad Budget Calculator for Lead Generation

Lead gen is the goal teams default to when they don't know what else to pick — and that's the problem. Real lead gen means a tracked form fill, demo booked, or call generated, attributed back to a specific ad, with a known SQL rate. Without that loop closed, you're not running lead gen, you're running brand awareness with a contact form.

The channel mix that actually works in 2025. Lead gen budgets behave nothing like ecommerce or app install budgets. You're not chasing scale curves or ROAS — you're buying intent and qualification. Google Search is the anchor for almost every lead gen account because keyword intent does most of the qualifying work for you. Expect $40-$180 CPL on non-branded search, climbing to $200-$600 for competitive verticals like legal, insurance, and B2B SaaS.

LinkedIn is the only place where targeting by job title actually works at scale. CPLs run $100-$400 on Lead Gen Forms and $150-$600 on conversion campaigns to a landing page. It's expensive per lead but the leads pre-qualify themselves by being VP of X at a 500-person company. If your ACV is under $3K, LinkedIn math rarely works.

Meta is your channel for B2C services and lower-ACV B2B ($25-$120 CPL), but quality drops fast — expect a 15-30% SQL rate versus 40-60% from Search. Reddit ($40-$150 CPL) is genuinely strong for technical audiences if you have someone who can write native ad copy; if you can't, skip it.

Bidding strategy. Use Maximize Conversions only until you have ~30 conversions/month per campaign — below that threshold, smart bidding has no signal and burns budget. Once you're past it, move to Target CPA set roughly 15-20% above your current CPL average (Google clamps performance if you set it too aggressive on day one). On LinkedIn, manual CPC is still often better than automated bidding because conversion volume is too low for their algorithm to learn.

The confused-goal trap. Lead gen is the wrong goal for at least three common situations. If you're a SaaS company with a free trial, you should be running app installs / sign-ups as your conversion event, not form fills — the trial is the lead. If your sales cycle is under a week and the buyer self-serves, run sales/conversions, not lead gen. If your audience doesn't know your category exists yet, lead gen will look broken because nobody fills out forms for things they don't understand — you need awareness or content-led demand gen first.

The other version of this trap: teams pick lead gen, optimize toward CPL, then wonder why revenue is flat. CPL is a vanity metric in isolation. A $40 lead that closes at 2% costs $2,000 per customer. A $180 lead that closes at 25% costs $720. Optimize toward the conversion event closest to revenue that you have enough volume to optimize on — usually MQL→SQL or SQL→Opportunity.

Attribution windows. B2B lead gen has long, messy paths. Default 7-day click / 1-day view windows on Meta will undercount lead gen by 30-50% for any sales cycle longer than two weeks. Set Meta to 7-day click only (drop view-through), use 30-day click on Google, and accept that LinkedIn's reporting will overstate its contribution. The truth lives in your CRM with UTM tags and self-reported attribution surveys on the demo form ("How did you hear about us?") — the latter is the single most useful free data source most teams ignore.

What success looks like. A working lead gen account has: blended CPL stable within ±20% month over month, SQL rate above 35%, sales cycle and close rate documented, and CAC payback under 12 months for SaaS or under 3 months for services. If you don't know your SQL rate, you're not ready to scale spend — fix measurement first.

Example

A B2B SaaS company with a $15K/month lead gen budget puts $8K on Google Search (branded + high-intent non-brand), $5K on LinkedIn targeting Director+ titles at companies 200-2000 employees, and $2K on retargeting across Meta + LinkedIn. Result: ~80 leads/month at $185 blended CPL, 42% SQL rate, $440 cost per SQL.

Questions