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Website data analysis refers to the process of integrating and analyzing large amounts of collected data using appropriate statistical analysis methods, extracting useful information and forming results to conduct detailed research and summarize the data. How to analyze Baidu bidding promotion landing page-what data should be analyzed? Let’s learn more about it with Feng Chao from Dongguan Network Promotion ! How to analyze Baidu bidding promotion landing page-what data should be analyzed? 1. Do you know how many people visit your website every day and every month?
2. What time of day does your website receive the most visitors?
3. Do you know where your visitors come from?
4. Do you know which channels your visitors come from are most useful to you?
5. If your website traffic decreases, who is not coming?
6. If traffic increases, where do the extra people come from?
7. Did the money you spent on promotion really achieve the expected goals?
8. Is the money you spend on promotion used to attract new visitors or to retain old visitors?
9. When your designer changes the design of the website, does it really make people feel more convenient and improve efficiency?
10. Do you know where your most profitable products should be placed on your website?
11. Do you know where your visitors leave your website?
12. Do you know what your visitors are looking for on your website? How to analyze Baidu bidding promotion landing page-what data should be analyzed? 1: What is data analysis? Website data analysis refers to the process of using appropriate statistical analysis methods to integrate and analyze large amounts of collected data, extract useful information and form conclusions to conduct detailed research and summarize the data. This process is also a supporting process of the quality management system. In practice, data analysis can help people make judgments so that they can take appropriate actions.
Why do we need to do website data analysis:
1. When you start operating a website, you must first know what stage of development the website is currently in. To put it simply, it is to collect and analyze the number of clicks and number of users on the website, which can be clearly known through the website itself or third-party free tools.
2. Through the first point, we have obtained the current indicator data of the website and know the development status of the website, so we need to integrate and analyze the data collected in the previous step, for example, where the traffic comes from, why the conversion rate is not high, the bounce rate is very high, etc. We need to know all these.
3. After understanding the current situation of the website and analyzing the reasons from all aspects, these important data will be able to influence our decision-making, allowing us to know what to do next, to have a clearer idea of the development and planning of the website, and to implement necessary strategies and adjustments.
2. Website data analysis process: Establish a data system, clarify goals, determine data indicators, collect website data, specify analysis tools, add code and collect log files, remove invalid and false data, create analysis reports, interpret data and make decisions, establish data analysis models, interpret and implement data reports!
Three: Website data analysis indicators
1. SEM related indicators: impressions, clicks, consumption, click-through rate, average click price
2. Basic website indicators: page views (PV), number of visits, number of visitors, number of new visitors
3. Traffic quality indicators: average visit duration, average number of pages visited, bounce rate, arrival rate
4. Related conversion indicators: consumption, revenue, return on investment, average conversion cost
5. Online inquiry indicators: number of inquiries, number of effective inquiries, inquiry rate, effective inquiry rate How to analyze Baidu bidding promotion landing page-what data should be analyzed? Bidding related indicators:
Display volume: When netizens search for a query, if a keyword in your account that meets the netizens' search needs is triggered, the creative corresponding to the keyword will appear on the search results page, which is called a display of keywords and creatives. The number of impressions you get within a period of time is called "impression volume" (abbreviated as "impression").
Clicks: When your promotion results are displayed, if netizens are interested in your promotion results and want to further understand your products/services, they may click to visit your website. The number of clicks you receive within a period of time is called "clicks" (abbreviated as "clicks").
Click-through rate: The number of clicks divided by the number of impressions is called the click-through rate.
Basic website indicators:
Pageviews: refers to the number of page visits or clicks. Each time a user visits a web page on a website, it is recorded once. The number of visits to the same page by the user is accumulated. +1 for visiting and refreshing the page
Unique Visitor (UV): refers to a natural person who visits and browses this webpage through the Internet. Cookies
Traffic quality indicators:
Average visit duration: The ratio of the total time a user spends browsing a page of a website or the entire website to the number of visits to the page and the entire website. (The total stay time of a website in a unit of time is 1000 seconds. During this period of time, the total number of visits is 100 times. Then the average visit time of this page or website is 1000 seconds/100=10 seconds.)
Average number of pages visited: The average number of pages visited refers to the average number of pages visited by visitors within a unit of time.
Bounce rate: Bounce rate refers to the percentage of visits that leave after visiting only the entrance page (such as the homepage of the website) to the total number of visits generated.
Arrival rate: The rate of successful entry after clicking on a promotional ad. Arrival rate = number of visits/number of clicks
Four: Website data analysis tools Baidu Statistics, CNZZ, and various promotion background data collection methods:
1. Add tags to the tracking page and embed JS on the page. When the user visits, JS is triggered to send a request to a separate log collection server to record the access data.
2. Web server log collection is automatically generated by the server, with low cost. The disadvantage is that the data source for processing and extracting the required data is complex and interactive. For example, the log of this site: http:/www.yunmajp.com/
5. Third-party data resources Baidu Index: a data sharing platform based on Baidu's massive Internet user behavior data. Here, you can study keyword search trends, gain insight into netizens’ interests and needs, and identify audience characteristics.
6. Daily website data analysis case to establish a data system: clarify the bidding (landing page, website) data analysis mind map:
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