This PHP tool will help you compute, for different versions of a split test, their probability to be the best one.
It is a PHP port of the JS tool used on AB split test graphical Bayesian calculator.
A Variation
object is composed of 3 informations:
- A
key
to identify it (the Landing page / banner id for instance) - The total number of actions (let's say, the unique visitors)
- The number of successful actions (let's say, the conversions)
Now you can compare those 3 objects and compute their probability to be the best.
use BenTools\SplitTestAnalyzer\SplitTestAnalyzer;
use BenTools\SplitTestAnalyzer\Variation;
require_once __DIR__ . '/vendor/autoload.php';
$variations = [
new Variation('LP #1', 8686347, 932),
new Variation('LP #2', 7305026, 804),
new Variation('LP #3', 4592639, 371),
new Variation('LP #4', 4590186, 402),
new Variation('LP #5', 4532325, 470),
new Variation('LP #6', 4531653, 494),
];
$predictor = SplitTestAnalyzer::create()->withVariations(...$variations);
foreach ($predictor->getResult() as $key => $value) {
printf('%s has %d%% chances to be the best one.' . PHP_EOL, $key, $value);
}
print PHP_EOL;
printf('The best one is: %s', $predictor->getBestVariation());
Output:
LP #1 has 15% chances to be the best one.
LP #2 has 43% chances to be the best one.
LP #3 has 0% chances to be the best one.
LP #4 has 0% chances to be the best one.
LP #5 has 7% chances to be the best one.
LP #6 has 34% chances to be the best one.
The best one is: LP #2
Because of the randomness used in Bayes calculator, results may slightly vary.
To improve performance you can lower the amount of samples with SplitTestAnalyzer::create(100)
, but then you'll have to choose between performance and reliability.
This library requires PHP 7.0+.
composer require bentools/split-test-analyzer
./vendor/bin/phpunit