PHP development of WeChat public account: how to perform data statistics

Developing WeChat public accounts with PHP: How to perform data statistics, specific code examples are required

Introduction: Today, WeChat public accounts have become a way for enterprises to communicate and promote with users one of the important platforms. However, it is very important for operators to understand user behavior and statistics. This article will introduce in detail how to use PHP to develop WeChat public accounts for data statistics, and attach specific code examples.

1. Obtaining user information

In data statistics, obtaining user information is a very important step. We need to obtain the user's attention, gender, region and other information in order to better profile and push users. The following is an example of using PHP code to obtain user information:

<?php
$access_token = "这里填写你的access_token";

$user_openid = "这里填写用户的openid";

$url = "https://api.weixin.qq.com/cgi-bin/user/info?access_token=".$access_token."&openid=".$user_openid;

$result = file_get_contents($url);

$user_info = json_decode($result, true);

//打印用户信息
print_r($user_info);
?>

The above code uses the interface provided by the WeChat API to obtain user information based on the user's openid and returns it in JSON format.

2. Message statistics

In the operation of WeChat public accounts, it is very important to understand the user’s message interaction. We can count the number of messages sent by users, time and other information to analyze users' interests and behavior. The following is an example of PHP code to obtain user message statistics:

<?php
$access_token = "这里填写你的access_token";

$start_date = "2022-01-01";
$end_date = "2022-01-31";

$url = "https://api.weixin.qq.com/datacube/getupstreammsg?access_token=".$access_token;

$data = array(
    "begin_date" => $start_date,
    "end_date" => $end_date,
    "msgid" => 0
);

$options = array(
    "http" => array(
        "header" => "Content-type: application/x-www-form-urlencoded",
        "method" => "POST",
        "content" => http_build_query($data),
    ),
);

$context = stream_context_create($options);
$result = file_get_contents($url, false, $context);

$msg_stats = json_decode($result, true);

//打印消息统计信息
print_r($msg_stats);
?>

The above code uses the data statistics interface of WeChat API to obtain user message statistics according to the specified time range.

3. Menu statistics

For public accounts with customized menus, understanding the clicks on the menu is also a very important part. The following is an example of PHP code for obtaining the click statistics of the public account menu:

<?php
$access_token = "这里填写你的access_token";

$start_date = "2022-01-01";
$end_date = "2022-01-31";

$url = "https://api.weixin.qq.com/datacube/getusercumulate?access_token=".$access_token;

$data = array(
    "begin_date" => $start_date,
    "end_date" => $end_date
);

$options = array(
    "http" => array(
        "header" => "Content-type: application/x-www-form-urlencoded",
        "method" => "POST",
        "content" => http_build_query($data),
    ),
);

$context = stream_context_create($options);
$result = file_get_contents($url, false, $context);

$menu_stats = json_decode($result, true);

//打印菜单统计信息
print_r($menu_stats);
?>

The above code uses the data statistics interface of the WeChat API to obtain the statistics of the user's clicks on the menu according to the specified time range.

4. Summary

Through the above example code, we can see how to use PHP to develop WeChat public accounts for data statistics. Obtaining user information, message statistics and menu statistics are commonly used data statistics methods. Through these data, we can better understand user behavior and interests, so as to carry out more optimized operations and promotion.

Of course, in addition to the above, there are many other aspects of data statistics on WeChat public accounts, such as picture and text statistics, fan changes, etc. I hope the above content can be helpful to everyone’s WeChat public account development and data statistics.

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