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Chapter 25 of LiftKit

A/B Testing Flywheel

Raw data is not leverage. Actionable next steps are.

This chapter turns your best-performing assets into launchpads for future growth. Instead of fixing what’s broken, we now compound what’s working.

🔹 Why This Chapter Exists 

Data isn’t leverage until it’s used to scale. At this point, GPT has:

  • Access to your content architecture, traffic strategy, and funnel setup

  • Familiarity with your tone, audience, and product positioning

  • Visibility into what’s working via Chapter 24’s diagnostic summaries

This chapter builds on that foundation to generate strategic A/B tests, repurpose top assets, and expand trust across the funnel.

🔸 Step 1: Identify Top Performers by Funnel Stage

📝 Prompt: Top Performer Recognition 

You are my A/B reinforcement strategist. Based on the last 2–4 weeks of funnel data, return:

  • Top 2–3 winning assets (ad, page, email, CTA)

  • Why they worked (hook, structure, timing, trust)

  • What psychological trigger or user type they resonated with

📌 Paste your recent data below using the diagnostic format from Chapter 24.

🔸 Step 2: Generate High-Variance A/B Tests (Not Tiny Tweaks)

📝 Prompt: Strategic A/B Variants 

Using the top performers identified, create:

  • 1 version with a different emotional trigger

  • 1 version with a restructured CTA or funnel step

  • 1 version optimised for a different channel or format

  • 1 version adapted for a new awareness level (cold/warm/hot)

📌 These variants should meaningfully differ—not just cosmetic changes.

🔸 Step 3: Forecast Channel-Asset Fit

📝 Prompt: Asset-to-Channel Fit 

For each new A/B variant above, return:

  • Best-fit platform (Meta, YouTube, Email, Organic)

  • Budget or time to validate

  • Early signals to track (e.g. CTR, scroll depth, replies)

📌 Use the funnel budget context already defined earlier in your system.

🔸 Step 4: Recursive Reinforcement Strategy

📝 Prompt: Compounding Content Loop 

Based on my top-performing content and funnel architecture:

  • Recommend 3 ways to repurpose the best content into new funnel stages (e.g. from ad → nurture email → LP block)

  • Suggest 1 spinoff lead magnet, based on what resonated

  • Identify 1 proof gap to reinforce with a new quote, stat, or visual asset

📌 This locks in compounding performance and brand congruency.

Want the Full System?

This is just one of 26 LiftKit chapters.
If you want to build a working marketing funnel—ChatGPT-powered and strategy-backed—this is your shortcut.

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Includes all prompts, frameworks, and structured outputs to replace your agency stack—using just GPT.

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