With the growth of the e-commerce market and people's demand for convenient and fast shopping methods, more and more companies are turning to online sales and establishing their own e-commerce platforms. In a mall platform, the device indicator statistics function is very important. By counting users' access devices, it can help the platform formulate strategies for website optimization, advertising, and marketing for different users. As a popular server-side programming language, PHP can easily implement such functions.
First, you need to embed a piece of JavaScript code in the Web page to obtain the current user's device information. Using JavaScript code, you can easily obtain information such as the user's device model, operating system, browser model and version, and then conduct subsequent analysis and statistics.
For the mall platform, there may be many different pages that need statistics, so we need to establish a global device information table to store device information. The device information table must contain at least the following fields:
Every time the user requests a page, the JavaScript code will obtain the user's device information and send it to the server for storage. On the server side, we can use PHP scripts to receive and process this device information and store it in the device information table.
The next step is to design and implement the device indicator statistics function. Here we take statistics of visits to the mall platform by different device types as an example, which is divided into two parts:
2.1 Device type statistics
We can write a PHP function to count visits by different device types Quantity, as shown below:
function countDeviceType($deviceType) { // $deviceType为设备型号,如iPhone、华为等等 $mysqli = new mysqli("localhost", "username", "password", "database"); if ($mysqli -> connect_errno) { echo "Failed to connect to MySQL: " . $mysqli -> connect_error; exit(); } $sql = "SELECT count(*) AS count FROM device_info WHERE device_type LIKE '%" . $deviceType . "%'"; if ($result = $mysqli -> query($sql)) { $row = $result -> fetch_assoc(); echo "设备型号 " . $deviceType . " 的访问数量为:" . $row['count'] . "<br>"; } else { echo "查询失败"; } $mysqli -> close(); }
The function of this function is to count the number of records containing a certain keyword in the device model in the database, where the $mysqli->query() function is used to execute SQL query statements, $ The result->fetch_assoc() function is used to obtain a record in the query result, and the parameter is an associative array. Finally, we can output the number of visits per device model.
2.2 Device type proportion statistics
You need to calculate the access proportions of different device types. You can write a PHP function to count and output these proportions, as shown below:
function countDeviceTypePercentage() { $deviceTypes = ["iPhone", "华为", "小米", "vivo", "OPPO"]; // 这里列出了常见的一些手机品牌,可以根据实际情况进行修改 $total = 0; $data = []; $mysqli = new mysqli("localhost", "username", "password", "database"); if ($mysqli -> connect_errno) { echo "Failed to connect to MySQL: " . $mysqli -> connect_error; exit(); } foreach ($deviceTypes as $deviceType) { $sql = "SELECT count(*) AS count FROM device_info WHERE device_type LIKE '%" . $deviceType . "%'"; if ($result = $mysqli -> query($sql)) { $row = $result -> fetch_assoc(); $total += $row['count']; $data[$deviceType] = $row['count']; } else { echo "查询失败"; } } foreach ($data as $key => $value) { echo $key . " 占比为:" . number_format($value / $total * 100, 2) . "%<br>"; } $mysqli -> close(); }
The function of this function is to count the number of records of each element in the array containing the device model in the database, and calculate the proportion of total visits. Among them, the $data array is used to store the number of visits for each device model, and the $total variable is used to count the total number of visits. Finally, we can output the proportion of each device type.
In this way, we have implemented the device indicator statistics function of the mall platform. We can use these data to guide us in formulating product strategies for different terminal device users and improve user satisfaction and sales.
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