A/B testing (also called split testing) is a method of comparing two versions of a marketing asset—Version A and Version B—to see which one generates more leads or conversions. You send similar traffic to both versions and measure which performs better based on a clear goal.
Why A/B testing matters for lead gen
Small changes can make a big difference in calls, form submissions, and booked appointments. A/B testing helps you make improvements based on data instead of guesswork.
Common things to A/B test
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Headlines (benefit-focused vs. question-based)
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Call-to-action buttons (text, size, placement)
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Forms (short vs. long, multi-step vs. single-step)
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Offer wording (coupon vs. “free estimate” vs. “same-day service”)
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Page layout (reviews near the top vs. lower on the page)
Examples
Example 1: Landing page headline
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A: “Get a Free Estimate Today”
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B: “Get a Free Estimate in 60 Seconds”
You test which headline leads to more form submissions or calls.
Example 2: Call-to-action button
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A: Button says “Submit”
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B: Button says “Schedule My Free Estimate”
You measure which button produces more completed forms and booked appointments.
Key metrics to track
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Conversion Rate (CVR): Conversions ÷ visitors (or sessions)
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Cost Per Lead (CPL): Ad spend ÷ leads (if running paid traffic)
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Click-Through Rate (CTR): Clicks ÷ impressions (for ads or buttons)
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Cost Per Acquisition (CPA): Spend ÷ signed customers (best if you can track it)
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Lead-to-Appointment Rate: Appointments ÷ leads
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Close Rate: New customers ÷ leads or appointments
Best practices (quick)
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Test one major change at a time so you know what caused the result.
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Use a clear goal (calls, form fills, booked appointments).
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Run the test until you have enough data to trust the result (not just a handful of conversions).