November 6, 2025
Welcome Back,
Hi there
Good morning! In today’s issue, we’ll dig into the all of the latest moves and highlight what they mean for you right now. Along the way, you’ll find insights you can put to work immediately
— Ryan Rincon, Founder at The Wealth Wagon Inc.
Today’s Post
A/B Testing: The Secret Weapon Behind Smarter Marketing Decisions 🧪
Imagine if you could peek inside your audience’s mind before launching an ad or campaign — to know exactly what headline, color, or button would make them click. Sounds like magic, right?
Well, that “magic” already exists — it’s called A/B testing, and it’s one of the most powerful tools in modern marketing.
Whether you’re sending emails, designing landing pages, or running social ads, A/B testing helps you make data-backed decisions instead of guesses. Let’s break down what it is, why it matters, and how you can use it to improve every part of your marketing.
🧠 What Is A/B Testing, Really?
A/B testing (also called split testing) is when you compare two versions of something — version A and version B — to see which performs better.
You change one variable at a time (like a headline, button color, or image) and test it with two audience groups. The version that drives more engagement, clicks, or conversions “wins.”
For example:
Version A: “Start Your Free Trial Today”
Version B: “Try It Free — No Credit Card Needed”
You send each version to half of your audience, track results, and learn which call-to-action (CTA) gets more sign-ups.
Simple, right? But the insights you gain can completely transform how you write, design, and market.
⚡ Why A/B Testing Matters
In marketing, tiny changes can lead to huge results. According to HubSpot, brands that run regular A/B tests see an average 37% higher conversion rate than those that don’t.
Here’s why it works:
It removes the guesswork. You stop relying on opinions and start relying on data.
It helps you learn faster. Every test teaches you something about your audience — what they like, what they ignore, and what motivates them.
It compounds over time. One 5% lift in performance here, a 10% lift there… and suddenly your campaigns are twice as effective.
As marketer Avinash Kaushik put it best: “The best data-driven companies aren’t smarter — they just test more often.”
🧩 What You Can Test
A/B testing isn’t just for ads. You can test almost anything that involves user interaction:
1. Website and landing pages
Headlines and subheadlines
Button text or color
Form length (short vs. long)
Page layout and images
2. Emails
Subject lines
Send times and days
CTA placement
Personalization (“Hey Sarah” vs. “Hi there”)
3. Ads and social media
Ad copy
Visuals or video thumbnails
Target audiences
Offers (discount vs. free trial)
Pro tip: Test one thing at a time. If you change too much at once, you won’t know what actually caused the difference.
📊 How to Run an Effective A/B Test
Follow this simple step-by-step plan to run smarter experiments:
Pick one clear goal.
Decide what success looks like — clicks, sign-ups, purchases, or time on page.Form a hypothesis.
Example: “Changing the CTA color to orange will increase conversions by 10%.”Create two versions.
Keep everything identical except the one variable you’re testing.Split your audience evenly.
Randomly assign users to version A or B. Tools like Google Optimize, HubSpot, or Optimizely can automate this.Run the test long enough.
Don’t stop too soon — you need a statistically significant sample size. Usually 7–14 days is a good window.Analyze the results.
Use analytics to see which version performed better — and by how much.Apply your learnings.
Roll out the winning version, then plan your next test.
🧠 What Great Marketers Test (That Most Don’t)
If you want to go beyond the basics, try testing these overlooked factors:
Pricing models: Monthly vs. annual, or “$9.99” vs. “$10.”
Social proof: Test testimonials, reviews, or trust badges.
Storytelling styles: Emotional storytelling vs. logical product features.
Page load speed: Even a one-second delay can drop conversions by 7% (Akamai study).
These “small” experiments often uncover the biggest wins.
⚠️ Common A/B Testing Mistakes
Testing without enough data. A few dozen clicks aren’t enough to decide.
Changing too many things at once. Keep it simple — one variable per test.
Stopping early. Wait until the results are statistically significant (usually 95% confidence).
Ignoring what you learn. Every “failed” test is a data point that gets you closer to success.
🚀 Final Thought
A/B testing isn’t just for tech giants — it’s for anyone who wants to make smarter marketing decisions.
Think of it like this: every test is a peek into your customer’s brain. The more you test, the clearer the picture becomes.
So before you launch your next campaign, ask yourself: “Am I guessing… or am I learning?”
Start small, stay curious, and test your way to better results — one experiment at a time.
That’s All For Today
I hope you enjoyed today’s issue of The Wealth Wagon. If you have any questions regarding today’s issue or future issues feel free to reply to this email and we will get back to you as soon as possible. Come back tomorrow for another great post. I hope to see you. 🤙
— Ryan Rincon, CEO and Founder at The Wealth Wagon Inc.
Disclaimer: This newsletter is for informational and educational purposes only and reflects the opinions of its editors and contributors. The content provided, including but not limited to real estate tips, stock market insights, business marketing strategies, and startup advice, is shared for general guidance and does not constitute financial, investment, real estate, legal, or business advice. We do not guarantee the accuracy, completeness, or reliability of any information provided. Past performance is not indicative of future results. All investment, real estate, and business decisions involve inherent risks, and readers are encouraged to perform their own due diligence and consult with qualified professionals before taking any action. This newsletter does not establish a fiduciary, advisory, or professional relationship between the publishers and readers.