How to Run Your A/B Test

Detailed walkthrough of how to compare Slopeside audiences against your existing Meta audiences.

🎯 Purpose

Learn the best way to evaluate Slopeside’s high-intent audiences against your current Meta targeting methods.

💡 Overview

Slopeside’s trial process is designed to give you clear, measurable proof of performance. By testing only one variable — the audience — you’ll see the true impact of intent-based targeting on key performance metrics like CTR, CVR, and CPL.

🪜 Step-by-Step Setup

  1. Duplicate your top-performing ad set.
    1. Keep everything identical: creative, copy, placements, and budget.

  1. Replace the audience only.
    1. Use your new Slopeside Audience synced to Meta.

  1. Run both ad sets simultaneously for 14 days.
    1. This ensures consistent delivery and data accuracy.

  1. Compare performance metrics: CTR, CVR, CPL, and Demo Booking Rate.
💡

Use Meta’s “A/B Test” tool if you want to automate split testing, but running two live ad sets manually works just as well.

💵 Trial budget framework:

  • Start with your current top-performing campaign budget and mirror it for the Slopeside test.
  • Minimum: $50-$100/day for 14 days (per ad set).
  • Ensure both ad sets hit at least 50 conversions to exit the learning phase.

💲 Bid guidance:

  • Use Meta’s lowest-cost bidding during trial testing — this ensures both audiences get even delivery.
  • Once Slopeside proves lift, switch to cost cap bidding for your scaled campaigns (usually 10–15% above your target CPA).

📊 Key Metrics to Watch

Metric
Description
Goal
CTR (Click-Through Rate)
Measures engagement — how well your ads resonate
Expect 20–40% lift
CVR (Conversion Rate)
Indicates lead quality and intent
Expect improvement within 7–10 days
CPL (Cost per Lead)
The most telling efficiency metric
Aim for 15–30% reduction
Demo Rate
For SaaS or lead-gen offers
Track post-click quality
🧠

Need help interpreting results? Chat with the in-app AI Assistant and ask, “How’s my Slopeside audience performing compared to Meta interest targeting?” It can summarize key differences automatically.

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