How to improve conversions on a website

Conversion improvements start with understanding your actual user behavior through data. Most agencies make the mistake of optimizing based on assumptions rather than what visitors are actually doing. Set up proper analytics tracking—not just Google Analytics, but heatmaps, session recordings, and form analytics tools that show where people drop off. A form field that 80% of users abandon tells you something's wrong before you ever test a headline. Once you identify friction points, you can prioritize which problems to solve first. A checkout page with a 40% abandonment rate will almost always produce better ROI improvements than tweaking headline copy on a landing page.

The second lever is intent alignment. Your traffic source, landing page messaging, and offer need to work together. If you're driving high-intent search traffic from "buy blue widgets," but your landing page talks broadly about "widget solutions," conversion rates will suffer. Similarly, if your CTA says "Learn More" but the page is clearly a sales page, you're creating cognitive friction. For agencies managing multiple client campaigns, audit whether the landing pages match the ad copy and keyword intent. This is often where you find quick wins without touching design or copy—just realigning what people expect with what they find.

Third, remove friction from your conversion action itself. This means fewer form fields, clearer value propositions before the conversion point, and visible trust signals. Test removing optional fields from forms—most agencies find that dropping secondary fields increases submissions more than any headline change. If you're asking for a phone number on a content download, you're likely killing conversions. Address the actual objection preventing conversion. Sometimes that's a pricing objection (add a price comparison or ROI calculator), sometimes it's trust (add testimonials or guarantees), and sometimes it's clarity (clarify what happens after they convert).

Run small, focused tests on one variable at a time, but start with the changes that address identified friction points from your data, not vanity tests. A designer might want to test button colors, but if your data shows people are leaving because they don't understand your value proposition, that's what you test first. The clients who see real conversion lift are those treating it systematically—data discovery, prioritization, then testing.