What is A/B Testing? Start easily To increase sales on the e-commerce website

Every owner of the E-Commerce shop! Have you ever felt like this? You have a huge marketing budget to draw people into the website. But why the sales return "completely silent", not moving anywhere? You try to change the new product, adjust the message on the web page according to the "instinct", but the results are still "the same". Customers come in ... and then leave. Leaving only suspicion that "What did I do wrong?"

If you are facing the situation "Guess the customer" that is a headache ... You have come to the right place! Because today I will introduce you to the "secret weapon" that will change the marketing of "Durai" into a "science" that can actually measure. This weapon is "A/B Testing" tools that will help you "Stop guessing" and "Start sales" from real data! Let's see what it is. And how to change your E-Commerce website to make money?

The real problem in life: "A lot of traffic ... but the sales didn't come."

This is a reflection that many online business owners encountered. We spend a lot of time and funds on SEO, shoot Google, make content on social media. To bring people to Our "digital shop", but instead had to sit and hold the temples with these classic problems:

• Cart Abandonment: There are a lot of people pressing to add products to the basket. But when the process of paying ... it disappeared quietly
• CONAVERSION RATE Low Low Clay: The ratio of people who come to see the website compared to people who actually bought are too little, although our products are not as good as anyone.
• Change the website ... sales fall everywhere: would like to improve the website to be more beautiful But every time you change the new design according to the feeling Sales are worse!
• Don't know where to start solving: What is the problem? The picture is not beautiful? The color purchase button is not outstanding? Or the words do not satisfy? These questions are all in the head.

Feel like "Stuck in the maze" that can't find a solution like this Is a clear sign that you are relying on "guessing" more than "information" and understanding Psychology that makes people click on the Landing Page is the beginning of finding a solution from this circuit.

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Why does that problem occur: Decisions without "data" support

The real cause that caused us to solve the problem directly. Not because we are not good or not trying But because we are deciding by living "Comments" and "personal feelings" as the world of online business It is the most dangerous trap. Most problems are caused by:

• Believing too much instincts: "I think this color is more beautiful." Or "I think this word should be pleasing to the customers." These opinions, even from good intentions. But there is nothing guaranteed that customers will think like us.
• Hippo Effect (HIGHT PAID PERSON'S OPINION): The decision depends on the opinions of those with the highest position in the organization. Which may not be close to the information or real customers Causing the change to not meet the market
• Designed as I wish (Design by Committee): Everyone in the team has their own opinions. Making the webpage coming out as the result of "Compromise" that does not have a clear position and cannot create a real impact.

When we change the website without real information to confirm Is no different from "Close your eyes, scratch" We may be lucky to the destination. But most often end up "waste time" "waste of money" and "losing opportunities" unfortunately

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If left, how will it affect: more than just "sales do not grow"

Ignoring the use of data and continues to continue marketing "Damn Random" will cause negative effects that are domino like Domino. And bite your business slowly:

• Burning the marketing budget: You are pouring money into the "leaky tank", the advertising budget to pull people into a website that is not effective in closing the sale. Is the loss of funds in vain
• Business stops and overtaking: while you are still "Stomp in" because you can't add a conversion rate. Your competitors that use data and A/B Testing are developing their websites every day and gradually vie for your market share.
• Loss of team confidence: when working hard to improve the web, never seen concrete results The team will begin to run out of power and lack confidence in making decisions.
• The profit that is missing in the air: Every click that does not lead to the purchase is "lost income". Left the Conversion Rate is continuously lower. Is to leave the profits that should be yours every day

improvement on a webflow platform or conversion rate optimization on the Shopify all needs information from experiments to create the best results.

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Is there any solution? And where should it start: Get to know "A/B Testing"

The solution from this randomization circuit is to bring "Scientific processes" come in to market, which is "A/B Testing".

What is A/B Testing? Speaking the easiest, it is "compare". We create 2 versions of the webpage (or more) to see which version is working better, such as:

• The version A (Control): is the traditional webpage that we are using.
• Version B (Variant): is the webpage that we "Change" some elements only "one", such as changing the button color, changing the text on the button.

Then we will use the tools to "divide" the visitor into 2 groups, one group. The other version of the group will see the version B and we can measure which version can make people "click" or "buy" more. The result is not "Comments" anymore, but is a "empirical information" that tells us what customers like.

And where should it start?

1. Clear hypothesis: Start with the "belief" that you want to prove, such as "I believe that changing the color button 'buy now from gray to green. Will help increase click Because the green color is outstanding and can convey the connection. "
2. Choose a high impact: Start with the test with the most important and most important pages, such as Homepage, Product Page, or Cart Page.
3. Tested one by one. Variable: Do not change many things at the same time in version B because if it's better You don't know what the factor that made it really better.

A reliable source of information like Harvard Business Review and VWO explained these principles thoroughly. Which is an important foundation of Cro (Conversion Rate Optimization)

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Examples from the real thing that used to be successful: cases, leather bags with 12% additions from changing "buttons"

In order to be clearer Take a look at the E-Commerce case that sells handmade leather bags.

• Problems: This shop has a lot of people in the product. But someone pressed the "immediately buy" button to enter the payment process (Add-to-Cart Rate is low).
• Assumption: The team believes that the "BUY NOW" button is black. It may look too pressure and serious for customers who are still hesitant. They think that changing into a button "Add the basket" (Add to Cart) that is friendly and less pressure. Should make people dare to click more
• Experiment A/B Test:
  • Version A (Control): Black button with "buy immediately"
  • Version B (Variant): Bright green buttons with text "Add to the basket"
• Results: After running the test for 2 weeks, the results show that ** version B (green button 'adds the basket') with a click rate higher than the version A to 25%! ** And when looking at the results to the actual payment Found that this small change causes ** The overall sales of the shop increased up to 12%** without having to pay even one additional advertising fee!

This is the power of the experiment that changed from "guessing" to "to do with information".

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If wanting to follow, what to do? (Can be used immediately): 5 easily for your first A/B Test

Read here You probably want to start experimenting with your own website, right? You don't have to wait! Here are 5 simple A/B Test experiment ideas, but powerful that you can do immediately:

1. Test the "main topic" (Headline): Try changing the Headline on your product page. From the emphasis on "features" (such as "100%genuine cow leather bags") to focus on "benefits" (such as "trusted bags for every trip Which is even more beautiful ")
2. Test the "text on the CTA": compare between different words, such as "order now" VS ". See product details" VS ". Shop this collection"
3. Test the "CTA button": Try using the color "cut" with the background color of the website clearly (such as white background, fresh orange button) compared to the original color you are using.
4. Test the "main picture of the product": compare between the product on the white background (Product Shot) and the product images with models/models in real life (Lifestyle Shot).
5. Test "Trust Badges": Try adding a symbol that creates reliability near the purchase button, such as icon "free delivery nationwide", "Guaranteed satisfaction", or "100%safe" compared to the model without

Choosing these ideas to experiment Is an important first step in changing your website into growth tools . If you need help from experts, the E-Commerce Optimization Audit service can help point the point that you should start experimenting.

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Questions that people tend to wonder And the answers that are cleared

So you can start confidently I have compiled a common question about A/B Testing to answer. I wonder here.

Q1: There are not many people in my website. Can you do A/B Testing?
A: Can do it, but it may take a long time to run for a statistical significance or another option is You have to choose to test the changes that are expected to be able to make the effect "strong" and "clear", such as changing the entire page instead of changing the color button.

Q2: Is A/B Testing negatively affecting SEO?
A: It doesn't have a disadvantage. As long as you follow the correct practice, Google understands and encourages the web owner to do experiments to develop users (User Experience). The important thing is that it must not use a technique called "Cloaking" or intentionally showing the content to Googlebot to see. But let the user see another thing

Q3: How long should I run?
A: There is no fixed answer. But the principle is "Run until it gets statistical credible results" (most often set up at 95% Confidence Level) and should be covered with users' behavior in a full week (at least 7-14 days) to avoid different behavior in each day. Do not hurry to summarize the results after just 1-2 days.

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Summary to be easy to understand + want to try to do

The A/B Testing is a change from "Work according to the feeling" comes to "work with information". It is a bridge that connects "What we think customers want" to "what customers really want" Is the most important step to unlock the growth potential of your E-Commerce stores

Don't be afraid to start. The little changes you try today may become a "turning point" that creates enormous sales for your business tomorrow. Try choosing a simple idea. Which we gave in this article to start making your first A/B Test. And you will discover that vision sales grow from data in your own hands How exciting is it!

Ready to change to guess to sales yet? If you want an expert partner to help you plan and conduct experiments to increase web efficiency, our Conversion Rate Optimization service is ready to help you at every step! Begin to create growth at the measurement from today!

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