What is React AB testing?
At certain times, we need to give two variations of the same web page to different segments of website visitors at the same time to compare. This process is called React AB Testing or Split Testing. More the visitors on your website, the more opportunities you have to expand your business. A/B testing decides whether your websites have more visitors or not. Conversion rate is the rate at which a site can drive the attention of visitors towards your website. If you want your business to get a higher conversion rate then your site should function well.
A/B testing typically checks which variant is better and assigns it as a source of achieving higher conversions. This particular variant later will help you to optimize your site in a much better way for getting excellent results.
Conversion metrics are unique for different websites. If your website is an E-commerce website, then the total number of sales will be considered during a/b testing. For a B2B website, the generation of qualified leads is considered.
Why do AB test?
A/B test helps in understanding CRO (Conversion Rate Optimization). With the help of this, you can get both qualitative and quantitative insights from users. This makes it easy to understand your customer requirements and improve your sites. Using a/b test one can:
Solve visitor pain points
Visitors visit your website to achieve a specific goal and understand your product details. Some basic problems a consumer may find can be,
- A confusing copy of a product
- Not finding CTA buttons like demo, buy now, etc.
- No fulfilling products were available.
These things result in bad reviews for your sites. Eventually, it will increase friction and affect your conversion rate. You can check the reviews received from visitors and use them to improve website efficiency and functionality. Gather data from different sources and check at what parts you back lag from others and try to cover those faults.
Get better ROI from Existing Traffic
Sometimes the cost of acquiring any quality traffic is high. Through a/b testing you can increase your conversion rates with less penny. Even very small changes can result in excellent outcomes.
Reduce bounce rate
It is important to check the bounce rate as it judges your performance. Too many options, expectations mismatch are a few of the many reasons that result in higher bounce rates. To overcome this you’ll need to test different variations on your site and find the best of all.
Make low-risk modifications
It is better to make the required changes in your website rather than modifying the entire site. This can be easily done with the help of A/B testing as it lets you target maximum output with minimum changes. It will also reduce the risk of jeopardizing your current conversion rate.
Achieve statistical and significant improvements
It is easy to determine the winner and loser as it is completely data-driven. We can check users’ priority by checking where users or visitors spent most of their time.
Profitably redesign your websites
The decision to improve any particular part of your website should always be based on data-driven A/B testing. Keep on testing even if the other version goes live until you are sure that the most optimizing and efficient version of your website is provided for your visitors.
Installation:
react-ab-test is only compatible with two versions viz. React 0.14x and React 0.15x.
It is installed via npm,
npm install react-ab-test.
Usage:
Here we will see the basic usage of react ab testing with its few components.
Standalone component
var Experiment = require(“react-ab-test/lib/Experiment”);
var Variant = require(“react-ab-test/lib/Variant”);
var emitter = require(“react-ab-test/lib/emitter”);
var App = React.createClass({
onButtonClick: function(e){
this.refs.experiment.win();
},
render: function(){
return <div>
<Experiment ref=”experiment” name=”My Example”>
<Variant name=”A”>
<div>Section A</div>
</Variant>
<Variant name=”B”>
<div>Section B</div>
</Variant>
</Experiment>
<button onClick={this.onButtonClick}>Emit a win</button>
</div>;
}
});
emitter.addPlayListener(function(experimentName, variantName){
console.log(“Displaying experiment ‘” + experimentName + “’ variant ‘” + variantName + “’”);
});
emitter.addWinListener(function(experimentName, variantName){
console.log(“Variant ‘” + variantName + “’ of experiment ‘” + experimentName + “’ was clicked”);
});
Coordinate multiple component
var Experiment = require(“react-ab-test/lib/Experiment”);
var Variant = require(“react-ab-test/lib/Variant”);
var emitter = require(“react-ab-test/lib/emitter”);
emitter.defineVariants(“My Example”, [“A”, “B”, “C”]);
var Component1 = React.createClass({
render: function(){
return <Experiment name=”My Example”>
<Variant name=”A”>
<div>Section A</div>
</Variant>
<Variant name=”B”>
<div>Section B</div>
</Variant>
</Experiment>;
}
});
var Component2 = React.createClass({
render: function(){
return <Experiment name=”My Example”>
<Variant name=”A”>
<div>Subsection A</div>
</Variant>
<Variant name=”B”>
<div>Subsection B</div>
</Variant>
<Variant name=”C”>
<div>Subsection C</div>
</Variant>
</Experiment>;
}
});
var Component3 = React.createClass({
onButtonClick: function(e){
emitter.emitWin(“My Example”);
},
render: function(){
return <button onClick={this.onButtonClick}>Emit a win</button>;
}
});
var App = React.createClass({
render: function(){
return <div>
<Component1 />
<Component2 />
<Component3 />
</div>;
}
});
emitter.addPlayListener(function(experimentName, variantName){
console.log(“Displaying experiment ‘” + experimentName + “’ variant ‘” + variantName + “’”);
});
emitter.addWinListener(function(experimentName, variantName){
console.log(“Variant ‘” + variantName + “’ of experiment ‘” + experimentName + “’ was clicked”);
});
Weighting variants
var Experiment = require(“react-ab-test/lib/Experiment”);
var Variant = require(“react-ab-test/lib/Variant”);
var emitter = require(“react-ab-test/lib/emitter”);
emitter.defineVariants(“My Example”, [“A”, “B”, “C”], [10, 40, 40]);
var App = React.createClass({
render: function(){
return <div>
<Experiment ref=”experiment” name=”My Example”>
<Variant name=”A”>
<div>Section A</div>
</Variant>
<Variant name=”B”>
<div>Section B</div>
</Variant>
<Variant name=”C”>
<div>Section C</div>
</Variant>
</Experiment>
</div>;
}
});
Debugging
var Experiment = require(“react-ab-test/lib/Experiment”);
var Variant = require(“react-ab-test/lib/Variant”);
var experimentDebugger = require(“react-ab-test/lib/debugger”);
experimentDebugger.enable();
var App = React.createClass({
render: function(){
return <div>
<Experiment ref=”experiment” name=”My Example”>
<Variant name=”A”>
<div>Section A</div>
</Variant>
<Variant name=”B”>
<div>Section B</div>
</Variant>
</Experiment>
</div>;
}
});
Server rendering
require(“babel/register”)({only: /jsx/});
var express = require(‘express’);
var session = require(‘express-session’);
var React = require(“react”);
var ReactDOMServer = require(“react-dom/server”);
var Component = require(“./Component.jsx”);
var abEmitter = require(“react-ab-test/lib/emitter”)
var app = express();
app.set(‘view engine’, ‘ejs’);
app.use(session({
secret: ‘keyboard cat’,
resave: false,
saveUninitialized: true
}));
app.get(‘/’, function (req, res) {
var reactElement = React.createElement(Component, {userIdentifier: req.sessionID});
var reactString = ReactDOMServer.renderToString(reactElement);
abEmitter.rewind();
res.render(‘template’, {
sessionID: req.sessionID,
reactOutput: reactString
});
});
app.use(express.static(‘www’));
app.listen(8080);
Conclusion:
AB testing is a very efficient tool for testing the efficiency of your site. It becomes easy to understand your backlogs and improve accordingly. It decides whether your websites have more visitors or not. Conversion rate is the rate at which a site can drive the attention of visitors towards your website. With the help of this, you can get both qualitative and quantitative insights from users. Using a/b test one can solve visitor pain points, get better ROI, reduce bounce rate, make low-risk modifications, achieve statistical and significant improvement, and profitably redesign your websites. We have also seen a few uses of a/b testing tool on different components like standalone, coordinate multiple, debugging, weighting variants, server rendering.