In Baidu bidding techniques, data analysis is of paramount importance. Only after conducting a detailed Baidu bidding data analysis can you know where your money is spent and how to make more money! But now 90% of Baidu bidding is just a simple price adjustment, and no data analysis is done at all. Don’t worry, Dongguan Fengchao Bidding Hosting will teach you how to learn it quickly. Baidu bidding data analysis skills, what aspects should be considered in bidding data analysis? 1. Baidu bidding data analysis formula The relationship between Baidu's bidding promotion data and the following data: display - click - consumption - conversation - resources - transaction. Impressions: The number of impressions of the promoted ad. Clicks: The number of times the ad was clicked. Consumption: The cost of Baidu bidding promotion. Dialogue: refers to the dialogue between customers and customer service staff. There are many ways to do this: 1. Use online chat communication tools, 2. Directly dial an Internet phone call, 3. Leave messages online, etc. Resources: It means leaving effective information of customers, with the purpose of further promoting transactions. Transaction: It is the number of products or services that customers have purchased. Baidu bidding data analysis formula 2. Five big data indicators for Baidu bidding data analysis The 5 data indicators are clicks, views, bounce rate, average visit time, and conversions. In the actual practice of bidding skills, what is an expert? What is the level of experts in the above five bidding data indicators? Below, Chengdu Bidding Hosting will analyze the average visit time and conversion number: 1. According to the official Baidu bidding data, the average visit time of a good web page is about 12 seconds. The average visit time for front-line data analysis experts is more than 10 minutes. It is not difficult to imagine that, for example, if there are 500 people visiting your website in one day, and each person spends more than 10 minutes on it, this means that there are 500 very potential customers who are trying to understand you and want to cooperate with you, right? Therefore, the Baidu bidding data of average visit time is very important. 2. Why is the number of conversions in bidding techniques so important? What is the standard for the number of conversions set by bidding techniques? Suppose my conversion goal is: Submit an order for a free trial. The conversion rate is as high as over 15%. For every 100 people who browse, 15 will apply and submit. Our goal is to submit an application for a trial. Thus, out of 5,109 visitors, 675 of them were converted. It also shows that these customers have strong cooperation and purchasing intentions, and it is very easy to close a deal! Baidu bidding data analysis 5 big data indicators Total cost = number of clicks * average click cost Number of clicks = total cost / average click cost Average CPC = Total CPC / Number of Clicks Total cost = conversion volume * average conversion cost Conversion volume = total cost / average conversion cost Average conversion cost = total cost / conversion volume Order conversion rate = order volume/inquiry volume Number of inquiries = number of orders * order conversion rate Order volume = consultation volume / order conversion rate Click-through rate = clicks/impressions Clicks = impressions * click-through rate Impressions = Click-through rate/Clicks Conversion rate = conversion volume / click volume Click volume = conversion rate * conversion volume Conversion volume = conversion rate / click rate Daily Baidu bidding data analysis steps 3. Daily Baidu bidding data analysis steps 1. Find the best day and the worst day Baidu bidding data for comparison, excluding objective reasons of the natural environment, such as vacation time, etc. Then we have to start from the worst and see where the difference lies? Peel off the layers until you trace back certain keywords. 2. Bidding techniques from back to front: (1) There are few effective resources but many customer service conversations, which indicates that there is a problem with consultation conversion. (2) There are few effective resources and customer service conversations, indicating that there is a problem with the bidding data from clicks to customer service conversations. Factors affecting this data include: the website content is not attractive enough to customers, there is a problem with the customer service conversation software, the website opens too slowly and is closed, the customer service conversation setting guide is not attractive, the website setting does not match your Baidu bidding creativity, and it attracts irrelevant junk keywords, etc. (3) There are many customer service conversations but relatively few clicks, which means that the accuracy of single words is improving. That is to say, the promoted words are exactly what our potential customers of Baidu bidding search for, and the creative description of Baidu bidding promotion is very consistent with the website. (4) Few clicks but high consumption indicate that the unit price of keywords is rising. The principle of bidding skills is that the higher the consumption, the more clicks there will be, but if there are few, it will be due to the above reason. There are two main reasons for the increase in unit price. One is the increase in competition price, and the other is the low quality of keywords. |
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