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A/B Test Your AI Chatbot to Maximise Conversions

23 March 202610 min readBy Brain Buddy AI

# A/B Test Your AI Chatbot to Maximise Conversions

Your chatbot is live, Brian is answering questions, and customers are engaging. But here's the question worth asking: is Brian performing as well as he possibly could?

The welcome message that feels right to you might not be the one that gets customers to book an appointment, request a quote, or make a purchase. The only way to know for certain is to test. Brain Buddy AI Studio's built-in split testing takes the guesswork out of chatbot optimisation, letting you run clean A/B experiments and let the data decide.

This guide walks you through exactly how to set up A/B tests on your chatbot, what to test first, and how to read your results like a pro.

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Why A/B Testing Your Chatbot Actually Matters

Most small business owners set up their chatbot once and leave it running. That's completely understandable. You're busy running a plumbing company or a dental practice, not a conversion optimisation lab.

But small wording changes can produce surprisingly large differences in outcomes. Consider two welcome messages for a physio clinic:

  • Version A: "Hi there! Welcome to Bayside Physio. How can I help you today?"
  • Version B: "Hi! I'm Brian, your Bayside Physio assistant. Are you looking to book an appointment or find out about a specific injury?"

Version B gives the visitor immediate direction and signals that Brian can handle specific tasks. In real-world testing, a message like Version B commonly outperforms a generic greeting by 20 to 40 percent on conversion rate. You wouldn't know that without testing.

Brain Buddy AI's split testing runs these experiments automatically in the background, splitting your incoming conversations between variants and tracking which one leads to more bookings, more form completions, or more enquiries.

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What You Can A/B Test in Brain Buddy AI

Before jumping into setup, it helps to understand the three core elements available for split testing.

Welcome Messages

This is the first thing a visitor sees when Brian appears on screen. It sets the tone, signals what Brian can do, and either invites engagement or gets ignored. Welcome messages are the highest-leverage place to start your testing because they affect every single conversation.

Call-to-Action (CTA) Buttons

CTAs are the buttons Brian presents when suggesting a next step. "Book Now" versus "Check Availability" versus "See Our Services" can produce very different click-through rates depending on your industry and customer mindset. A real estate agency, for example, might find "See Available Listings" outperforms "Talk to an Agent" for cold visitors, while the opposite is true for warm referrals.

Quick Chips

Quick chips are the pre-set response options that appear below Brian's messages, like buttons the user can tap instead of typing. Examples include "Get a Quote", "Opening Hours", "Book an Appointment", or "Speak to Someone". The order, wording, and number of chips you display all affect which path customers take through the conversation.

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Step-by-Step: Setting Up Your First A/B Test

Step 1: Access the Split Testing Panel

Log in to your Brain Buddy AI Studio dashboard and navigate to Conversations in the left sidebar. Select the chatbot you want to test, then click the Optimise tab at the top of the screen. You'll see the Split Testing section listed under Optimisation Tools.

If you're on the Growth or Scale plan, split testing is included. Starter plan users can run one active test at a time.

Step 2: Choose the Element You Want to Test

Click Create New Test and select your test type from the dropdown:

  • Welcome Message
  • CTA Button
  • Quick Chips Set

For your first test, we strongly recommend starting with your Welcome Message. It has the broadest impact and gives you useful data quickly.

Step 3: Write Your Variants

You'll see two fields: Variant A (your current version, shown by default) and Variant B (your challenger).

Write your challenger message in the Variant B field. Here are some proven frameworks to try, with examples for different industries:

For a cafe or restaurant:

  • Variant A: "Welcome to The Grounds! How can we help you today?"
  • Variant B: "Hey there! Want to check our menu, book a table, or find out today's specials?"

For a law firm:

  • Variant A: "Welcome to Hargreaves Legal. What can we assist you with?"
  • Variant B: "Hi, I'm Brian from Hargreaves Legal. Are you looking for help with a specific legal matter or would you like to book a free consultation?"

For a gym or fitness studio:

  • Variant A: "Welcome to Iron & Grace Fitness! How can we help?"
  • Variant B: "G'day! I'm Brian. Thinking about joining, or are you already a member looking for class times?"

Keep your test focused. Change only one thing between variants, otherwise you won't know what caused any difference in results.

Step 4: Set Your Traffic Split

By default, Brain Buddy AI splits traffic 50/50 between Variant A and Variant B. This is the right setting for most tests. If you're nervous about testing a dramatically different message on half your visitors, you can adjust to a 70/30 or 80/20 split using the traffic slider.

Step 5: Define Your Success Metric

This is the most important step. You need to tell Brain Buddy AI what "winning" looks like. Select your primary conversion goal from the list:

  • Booking completed (connects to your booking integration)
  • Contact form submitted
  • Phone number revealed or clicked
  • Specific conversation path reached (e.g., user reached the "Get a Quote" flow)
  • Conversation length (measured in messages exchanged)

For a dentist, "Booking completed" is the obvious choice. For a plumber without an online booking system, "Phone number clicked" is the right metric. Be honest about what actually moves the needle for your business.

Step 6: Set a Minimum Sample Size and Duration

Brain Buddy AI will prompt you to set a minimum before declaring a winner. The platform defaults to 200 conversations per variant before surfacing a result, which is a statistically sound threshold for most small businesses.

You can also set a maximum test duration (we recommend 30 days as a ceiling) so tests don't run indefinitely on low-traffic sites. If you haven't hit 200 conversations per variant in 30 days, the platform will show you the trend data with a note that results aren't yet statistically significant.

Step 7: Launch the Test

Click Activate Test. Brian will now serve Variant A to roughly half your visitors and Variant B to the other half, rotating automatically. You don't need to do anything else during the test period.

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Reading Your Results

Once your test hits the minimum sample size, Brain Buddy AI flags the result in your dashboard with a green Winning Variant badge.

You'll see a results table showing:

  • Conversations served per variant
  • Conversion rate per variant
  • Statistical confidence (expressed as a percentage)
  • Projected monthly impact if you adopt the winning variant

Aim for 95 percent confidence or above before making a decision. Brain Buddy AI won't declare a winner below 90 percent, and it will tell you clearly if a test is inconclusive.

When you have a winner, click Apply Winning Variant and Brian will switch to using it as the new default. You can then archive the losing variant or save it for future reference.

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How the Self-Learning Engine Works Alongside Your Tests

Here's where Brain Buddy AI does something other chatbot platforms don't. While your A/B test is running, the Self-Learning Engine is still active and reviewing nightly conversations. It's analysing the actual language customers are using, the questions they're asking, and the points in the conversation where they drop off.

This means Brian isn't just statically serving your two variants. He's getting smarter about how to respond within each variant's conversation flow. By the time your test concludes, the winning variant has also had its underlying responses refined by the Self-Learning Engine, so you're adopting a version that's been optimised at two levels simultaneously.

For example: your gym's Variant B welcome message wins the test, and you apply it. But the Self-Learning Engine has also noticed that visitors who ask about casual passes are dropping off without converting, and it's already updated Brian's responses in that part of the flow. You get a better opening message and better mid-conversation handling at the same time.

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Testing Quick Chips: A Practical Walkthrough

Quick chips are worth a dedicated test once you've completed your welcome message experiment. Here's a practical example for a real estate agency.

Current chip set (Variant A):

1. View Properties

2. Contact an Agent

3. Get a Valuation

4. About Us

Challenger chip set (Variant B):

1. See Homes For Sale

2. What's My Home Worth?

3. Speak to an Agent

Variant B reduces chip count from four to three (removing "About Us", which rarely converts), rewords options to be more customer-benefit-focused, and elevates the valuation offer, which is a high-intent action for vendors.

In this scenario, the conversion metric would be set to "Specific conversation path reached" targeting the valuation or agent contact flows.

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Common A/B Testing Mistakes to Avoid

Testing too many things at once. If you change the welcome message, the chip set, and the CTA in the same test, you can't attribute results to any single change. Test one element at a time.

Ending tests too early. You see Variant B is winning after 40 conversations and you switch it on immediately. Three days later, Variant A would have caught up. Wait for the 200-conversation minimum.

Ignoring segment differences. If your business gets very different traffic on weekends versus weekdays (common for cafes and gyms), consider running tests over full weeks rather than short bursts to capture that variety.

Only testing once. The winner of today's test becomes the new Variant A for your next test. Continuous testing compounds over time and produces chatbots that are dramatically more effective than a set-and-forget approach.

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Suggested Testing Roadmap for New Users

If you've just set up Brain Buddy AI, here's a sensible sequence to follow over your first 90 days:

Month 1: Test your welcome message. Focus on personalisation (naming Brian, being specific about what he can do) versus a generic greeting.

Month 2: Test your quick chips. Focus on reducing options and strengthening the language around your highest-value action.

Month 3: Test a CTA button in your most common conversation flow. For most businesses, this is the booking or quote flow.

By the end of 90 days, you'll have a chatbot that's been validated by real customer behaviour, continuously improved by the Self-Learning Engine, and tuned to your specific audience.

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Final Thoughts

A/B testing isn't just for enterprise marketing teams with dedicated analysts. Brain Buddy AI makes it practical for a busy plumber or a two-person dental practice to run proper experiments without a statistics degree or extra staff.

The goal is simple: let your customers tell you, through their behaviour, what works best. Set up your first test today, let Brian do the heavy lifting, and check back when you have a winner.

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Frequently Asked Questions

How many conversations do I need before A/B test results are reliable?

Brain Buddy AI requires a minimum of 200 conversations per variant before declaring a winner, which ensures your results are statistically meaningful. The platform also shows a confidence percentage alongside results and won't flag a winner below 90 percent confidence. For low-traffic businesses, we recommend setting a 30-day maximum test duration so you can review trend data even if the minimum hasn't been reached.

Can I run more than one A/B test at the same time?

Growth and Scale plan users can run multiple concurrent tests, but we recommend testing only one element at a time per conversation flow. Running simultaneous tests on the welcome message and quick chips, for example, can make it difficult to attribute results accurately. If you do run concurrent tests, make sure they target distinct parts of the conversation.

Will A/B testing affect how the Self-Learning Engine improves my chatbot?

No, the Self-Learning Engine continues its nightly review process across both variants during a test. It improves Brian's responses within each variant's conversation flow independently, so when you adopt the winning variant it's already been refined by the Self-Learning Engine as well. This means you get the benefit of both controlled testing and ongoing automatic improvement at the same time.

What should I use as my conversion goal if I don't have online bookings set up?

If your business doesn't use an online booking system, the best conversion metrics are "Phone number clicked", "Contact form submitted", or "Specific conversation path reached" targeting your quote or enquiry flow. For trades businesses like plumbers or electricians, tracking phone number clicks is usually the most accurate measure of genuine customer intent.

Can I A/B test Brian's name or personality, or just specific messages?

Currently, Brain Buddy AI's split testing covers welcome messages, CTA buttons, and quick chip sets. Agent name and personality tone settings apply globally across your chatbot rather than per variant. If you want to test personality tone, the best approach is to write your two variants with noticeably different tones in the welcome message and opening responses, and use that as a proxy for the broader personality difference.

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