About Signal PPC

Signal PPC is a free resource for marketers, built around two things: calculators that answer specific campaign-math questions, and guides that explain the reasoning behind them. The goal is straightforward — help people make decisions based on numbers that actually hold up, not vanity metrics or inflated claims.

The site covers Google Ads and paid media, Meta Ads and social advertising, marketing profitability and economics, e-commerce marketing, conversion rate optimization, marketing analytics and attribution, SEO, email marketing, AI and marketing automation, and campaign experimentation and testing.

What's live right now

Signal PPC is in its early, foundational stage. Right now there are three working calculators — ROAS, Break-Even ROAS, and Conversion Rate — and two introductory articles in the Learn section. More tools and articles are added over time.

Calculator roadmap

These calculators are planned but not yet built. They're listed here for transparency, not as working links:

• Profit-Based ROAS Calculator — ROAS targets based on profit goals rather than revenue.
• CAC Payback Period Calculator — How many months it takes to recover customer acquisition cost from gross margin.
• Discount Profitability Calculator — How a discount affects margin, and the sales lift needed to offset it.
• Daily Budget Calculator — Convert a monthly or campaign budget into a daily spend target.
• Required ROAS Calculator — The ROAS needed to hit a specific profit or revenue goal.
• Lead Value Calculator — Estimate the value of a lead from close rate and average customer value.
• A/B Test Sample Size Calculator — How many visitors per group you need before checking a test for significance.
• Email Conversion Rate Calculator — Click-to-open rate and email conversion rate for email campaigns.
• Social Engagement Rate Calculator — Engagement rate from likes, comments, shares, and reach or followers.
• UTM Builder — Build consistent, trackable campaign URLs.

What you won't find here

No fabricated case studies, no fake reviews or ratings, and no invented statistics. Where we don't have firsthand data, we say so.