How to do product target audience analysis?Website/APP user behavior data analysis

doInternet marketingFor promotion, only by thinking about the user group clearly can I know what kind of selling point I have to attract this user group.

Don't be asked, just say "I'm good quality"

?‍?‍?How to understand the target user group of the product?

How to understand the user groups of cat food and dog food?It can be analyzed like this:

• Is cat food and dog food sold to users who buy it for the first time, or to users who have replaced it?
• any industryE-commercePromotion can be subdivided according to this logic.
• Some brands do hundreds of millions of sales a year, and this issue has not been deeply thought about.

The online marketing team of a certain brand revealed the results of user analysis:

• With limited brand awareness and high prices, it is difficult for direct-selling brands to sell to first-time pet customers.
• Once you've analyzed and understood your user base, don't sell to first-time buyers.

?How to analyze user data?

Users are the most important part of an enterprise's digital assets;

User data analysis guides operational operational decisions and can play a vital role in lean growth.

User data is divided into several parts:

1️⃣Basic user data

Companies certainly want super-detailed data, but the worst option.That is to obtain basic data, because a user's sales leads are likely to be sold;

• User's basic data, including: name, phone, email, birthday, etc...
• These basic data revolve around the basic attributes of the main object of the person.
• More basic data should be extended to user behavior records.
• User analysis, including: content consumption record and frequency, offline interactive activity data, online real-time broadcast participation data, etc.

2️⃣User enterprise attribute data

• Company attributes bring value to people, such as company, job title, and business email.
• If user basic data is a must, then enterprise data is the value of data.

3️⃣ Social attribute data

Including WeChat, Weibo,LinkedIn, pulse and other data.

• This part of these data is value-added data, which is very helpful for burning user portraits.
• When doing user data analysis, users are orders of magnitude.
• We will not conduct in-depth analysis of users, but will analyze a group of users subdivided.

?Website/APP user behavior analysis

Analyze website and APP user behavior from the following directions:

First, look at data changes triggered by user behavior, including bounces, exits, activities, daily activities.

• These data will have a monitoring effect on operations, trends indicate growth or decay, anomalies react to problems;
• These website data can be analyzed globally using Google Analytics;

Second, users are grouped according to user attributes, touchpoint behavior classification and predictive analysis results obtained using online marketing automation.

• For example: Guess the associated recommendation you like;
• For example: customers who frequently buy mother and baby products are more likely to need early education products.