Conversion tracking is the system that records when a visitor completes a valuable action on your website. You define what counts as a conversion—could be an e-commerce transaction, a contact form submission, a phone call, a PDF download, or a newsletter signup—then install tracking code (pixels, tags, or scripts) that fires when that action occurs. The data flows back to platforms like Google Ads, Meta, GA4, or your CRM so you can see which traffic sources and campaigns generate actual business outcomes, not just clicks. The technical setup varies by platform. Google Ads conversion tracking uses a global site tag plus event snippets on thank-you pages. GA4 uses events configured in Google Tag Manager or directly in the analytics property. Meta Pixel tracks actions like Lead or Purchase. All rely on cookies or first-party data to attribute the conversion back to the original ad click or session. With third-party cookie deprecation accelerating, server-side tracking and consent mode are becoming essential for accurate attribution, especially in Canada where PIPEDA applies. Why it matters: without conversion tracking, you're flying blind. A campaign might deliver 10,000 clicks at $0.50 CPC, but if zero convert, you just burned $5,000. Conversion data lets you calculate cost per acquisition, return on ad spend, and lifetime value per channel. You can pause underperforming keywords, scale winners, and shift budget to what works. At Ottawa SEO, we see clients who launch Google Ads without conversion tracking enabled—they optimize for clicks, not revenue, and wonder why their ROI is terrible. Common gotchas: tracking fires on the wrong page, duplicate conversions from page refreshes, cross-domain issues if your checkout is on a subdomain, and iOS privacy features blocking pixels. Always test in preview mode, confirm the conversion shows in your platform within 24 hours, and reconcile tracked conversions against actual orders or CRM entries monthly. If your tracked conversions are 30 percent higher than reality, you have a data hygiene problem that will wreck every optimization decision downstream.