As Douyin exploded in 2019, more and more attention has been paid to this new trendy online shopping community. Today I will briefly analyze the growth strategy of this product from the perspective of new user activation. Let me first briefly introduce the product "Dewu (Du)":
1. Dewu (Douyin) User GroupSince this article starts from the perspective of new user activation, we have to first analyze the user group of "Douwu (Du)". Data source: iResearch It is not difficult to see from the above picture that the users of "Douwu" are mainly concentrated under 24 years old and between 25 and 30 years old, which are the people often referred to as post-95s and post-90s. Among them, users born after 1995 account for as high as 31.88% of the user share. The consumption views of users born after 1995 are as shown in the figure below: Data source: iResearch in short:
The above points happen to be in line with the product concept and value of "Douwu (Dou)", and also indirectly confirm the reason why "Douwu (Dou)" can rise to the occasion. 2. New user activation behavior and corresponding indicators of "Douwu (Douwu)"First, let me briefly explain: What is new user activation behavior?
"Douwu (Dou)" currently focuses on e-commerce monetization, so the editor will only discuss the e-commerce attributes of "Douwu (Dou)". Due to practical limitations, the author is unable to determine the new user activation behaviors of "Douwu (Du)" through user surveys. He can only guess what the new user activation behaviors are by asking key questions. 2.1 Asking Key Questions (Buyer)2.2 Key issues in qualitative analysisThrough the analysis of the above table and combined with the product functions of "Douwu (Douwu)" (e-commerce + community), we can speculate on the possible activation behaviors: For the above possible activation behaviors, analyze them one by one:
2.3 ConclusionAmong the buyer users of "Douwu", since there is no real data of "Douwu", the activation behavior of new users cannot be obtained through quantitative data analysis. We can only speculate through qualitative analysis that " completing a product selection and placing an order " may be an important behavior for activating new users. When "Douwu" is an e-commerce platform, the user life cycle is longer, and the frequency of use of e-commerce products is lower than that of social products. You can set:
3. Analysis of the new user activation process of "Douwu (Douwu)"3.1 New User Activation Process of "Douwu (Douwu)"From the above figure, we can see that the process of activating new users of "Douwu" (from obtaining products from channels to users placing orders) includes multiple product means and operational strategies that support activation. The following discussion focuses on these support behaviors and strategies. 3.2 App Acquisition: Product Introduction in App Stores (Operational Strategy)After entering the mobile app store and opening the product introduction of "Douwu (Dou)", 5 product posters will appear (the first 4 are for the appstore). The posters highlight the core highlights of "Douwu (Dou)" and inform new users that they can get high-value red envelopes by using the product. It uses the users' "greed", "getting a bargain" and "curiosity" psychology to induce users to download the APP. 3.3 Opening the app for the first time: Confirming user notification (operation strategy)During the user notification stage, compared to other mobile apps’ pop-up notification behavior when the app is first launched, “Douwu” gives users a more friendly experience in copywriting, and gains a stronger sense of user trust than other apps. Emphasis is placed on items 1-4 which are specially mentioned. This lays a more humane foundation for obtaining system permissions in the application in the future. 3.4 Application landing page: display of new user gift package and one-click registration (operation strategy + product means)When a new user enters the APP for the first time, the landing page is displayed as a floating layer showing the cover of the new user gift package. The highlighted amount of 520 yuan captures the user's "greed" and "getting a bargain" mentality very well. Click the [Get] button and the login page will pop up. Log in/register and use the [One-click Registration] product method, which is convenient and fast, and reduces the possibility of loss due to the cumbersome registration process and reduced user experience. Psychological characteristics of users who take advantage of small opportunities: The higher the discount value, the more it can attract users' attention and purchasing desire. Whether it is targeted consumption or non-targeted shopping, except for those extremely wealthy tycoons, the more favorable the discount on the product, the more attractive it will be to users. Greedy user psychological characteristics: As long as the prize is tempting enough, users will try it even if the probability of getting it is small. Anyway, even if the user does not get a prize, he does not have to pay any (or very small) cost. And users appear to want to "give it a try", but in fact they really hope to win the prize in one go. 3.5 Guiding users’ first purchase intention: page structure in red envelope details (operation strategy + product means)When the user successfully registers, he will enter the details page of the new gift package:
3.6 Product Details Page Usage Guide (Operation + Product Methods)When you first enter the product details page, a floating window will appear to prompt you to use the function. The floating window will last for about 2-3 seconds and will gradually disappear, giving users a good guidance effect and friendly experience. Cultivate users' usage habits and provide user retention and stickiness through collection and purchase functions. 3.7 Coupon grabbing/lottery activities (operation strategy)
3.8 Personalized Recommendation: (Product Method)Allow users to select content of interest, further improve the accuracy of customized recommendations for purchasing related products, increase user stickiness by increasing the number and duration of user readings, and more easily trigger ordering behavior, thus reaching the activation moment. 3.9 Novice Tasks: Task System (Operation Strategy)The core logic of "Newbie Tasks" and "New User Red Packets" is similar, using the psychology of "getting a small bargain" to encourage users to complete a series of simple operations and enhance user stickiness in "Dewu (Du)"; 3.10 SummaryFirst, let’s briefly talk about the thinking logic of user behavior: According to the behavior formula, the above-mentioned product means and operation strategies to support the completion of activation behavior are classified as follows: 4. Comparison of the activation process between Dewu (Doudu) and competing products4.1 Comparison of the activation process between "nice" and "get things (poison)"Let me first briefly introduce the product "nice":
Nice new user activation process: Compared with "Dewu (Du)", the relevant strategies designed for the activation process of "nice" are not as friendly and smooth as "Dewu (Du)". Here are a few simple examples:
4.2 Comparison of activation process between "Youhuo" and "Dewu (Du)":Let me first briefly introduce the product "Youhuo":
The strategy design of "Youhuo" in the activation process is different from that of "Dewu (Du)". Here are a few simple examples:
5. Growth optimization strategy for the existing activation behavior of "Dewu (Du)"5.1 Possible optimization solutions obtained through HMW methodThe activation behavior for "Dewu(Du)" is the behavior of " completing a product selection and placing an order ". Conduct demand analysis, here we use the HMW method to analyze and get the following figure: 5.2 Analyzing the value, cost, and difficulty of optimization strategies5.2.1 Negative Optimization Strategy 5.2.2 Alternative Optimization Strategies 5.2.3 Recommended Optimization Strategies The short-term recommended optimization strategy mainly focuses on pre-order operation copy guidance + post-order operation strategy undertaking, which can be divided into the following two points:
The optimization strategies recommended in the medium and long term are mainly: Based on the recommendation engine, we formulate accurate recommendations for similar products that users like based on their browsing history, favorites, likes, and comments through information push channels (in-site messages, push notifications, recommended spots on the first screen of e-commerce modules, etc.). This is the end of the analysis of Dewu’s growth strategy (new user activation stage). Author: Yang Sanji Source: Yang Sanji |
<<: April Fool’s Day is coming, and I’m giving you a marketing guide and promotion minefields!
>>: The secret of high ROI advertising—data analysis and optimization
Information flow advertising style - large image ...
How to write more attractive creative ideas Excel...
Wenchang Tower is one of the common Feng Shui orn...
An old friend of mine from the media industry sta...
Why do the giants all want to make short videos? ...
There are three participants in an advertising ca...
The previous article said that "marketing is...
Previously, whenever we talked about business and...
In the video age, live streaming is one of the mo...
We will teach you how to create short videos on y...
The AARRR model describes the five processes in t...
Beidou Heart's accuracy is off by 1 second ev...
Before the Spring Festival, I met with the market...
In recent years, H5 has been very popular, and th...
Chen Nian's Low-Risk Financial Management Cou...