First we cameFacebook analytics (pixels)and check to see the corresponding pixels (provided there is cumulative to a certain amount of pixel data), through data analysis, we will have a certain understanding of the traffic architecture and visitor characteristics. The crowd characteristics of the ad will be tentatively determined.

(Student sharing case)

How can you save money if you choose CPM (cost per thousand people) for how your ads are delivered?

In fact, select "Active Users" in facebook analytics, you can view different device types, different delivery platforms (facebook or instagram) click-through rate data, it is recommended that you compare the data analysis, find the direction of image optimization, or then split the devices, platforms, etc., to further improve the click-through rate, so as to achieveReduce click-through costspurpose.

(Student sharing case)

      The main factors that affect the conversion rate of users areTrust, the price of the product, and the willingness of visitors to buywhether strong, etc. There are two main factors here. In fact, we can target different groups of different delivery strategies, that is, targeted delivery, effectively improve user conversion rate. Here's how to set up targeted ad serving with the price of the product and your willingness to buy it.

      Deliver price range products that are acceptable to different audiences. We can choose "Percentiles" in facebook analytics to see the overall spending habits of different channels or audiences in different countries, and suggest that ads with small amounts of data can choose top 40% of the audience data as a reference (the data volume of advertising accounts can be followed).The law of twenty-eight, focusing on TOP20% of the audience data, plays a vital role in our targeted marketing. If there is an A product price of $100, B product price of $50, we can put B product to the people with lower spending power. This will result in a relatively large turnover rate. Here is a student in the United States and the United Kingdom comparison data, we can clearly see that the audience in the two regions there is a certain difference in spending habits.

(Audience data in the U.S.)

(Delivering audience data in the UK)

      For the general population of intention can be converted through promotion and other means. Now we're going to analyze the willingness of audiences across the region to buy. It is recommended that the willingness to buy be divided into general willingness to buy and strong willingness to buy, defining the general willingness to buy as the audience that triggers the "AddToCart" event, and defining the strong purchase intention as the audience that triggers the "AddPaymentInfo" event. Then in the "boutiques" column to select countries, devices, etc. to obtain relevant data, so that we can target targeted advertising, for example, visitors are not very strong willing to buy, may not be too eager to use, or just first understand, perhaps he will first join the shopping cart, give yourself a little time to consider, when you put promotional ads to this part of the user, this promotion to inform them, it is likely to arouse the customer's desire to buy, Here also remind the data volume is relatively small advertising accounts can try to increase the conversion time limit, in order to get a larger amount of ad delivery, if the data volume is relatively large advertising account can control the conversion time limit should not be too long, becauseThe user's desire to buy is likely to disappear over time。

(Student sharing case)

      Here's just a simple targetFacebook AnalyticsSome of the features are presentedPracticality is strongThere are other powerful data analytics features in Facebook Analytics that provide a quantitative basis for optimizing ad conversions.Sunflower IslandHope to use this article to provide you with some optimization ideas.

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