This article takes product status, user growth and user retention as the starting point, combines PMF, AARRR model , HE AR T model and HOOK model to analyze the growth points and operation methods of the " Get " APP, and tries to give optimization suggestions, aiming to sort out and consolidate the framework of the operation knowledge system . First, the article mind map: If we look at 2017 and talk about knowledge payment , many people in the industry would say: The seemingly booming knowledge payment wave this year is essentially caused by the anxiety of contemporary users and their panic about the changes in modern society. At this time, most of the products on the market that are packaged as knowledge payment do not provide clear value to users. As of December 2017, the number of monthly independent devices and the total monthly effective usage time of knowledge payment platforms reached 143 million and 4.1 hours, respectively, an increase of 73.7% and 100.3% compared with the beginning of 2017. On the one hand, after being baptized by the capital market, users' tolerance for paying for knowledge has gradually decreased, which in turn has driven more service providers to come up with products that can provide users with clear value expectations. On the other hand, the earliest users who purchased knowledge-based paid products out of a desire to “try something new” gradually stayed away from these products after they received less-than-strong positive value and feedback after the purchase. This has led to a easing of the market. The Get APP , launched by the Luoji Siwei team of Luo Zhenyu , the host of the self-media video talk show " Luoji Siwei ", has gradually established itself as a star product in the industry by building user awareness through the slogans "Knowledge is at Get" and "Serving lifelong learners" as well as its own highly targeted product mechanisms and operational actions. According to the official statement of the "Get" team: In the past two years, it has launched 71 knowledge products and has more than 20 million users. According to rough estimates, its annual revenue in 2017 was at least over 1 billion. The following takes product status, user growth and user retention as entry points, combines PMF, AARRR model, HEART model and HOOK model to analyze the growth points and operation methods of APP, and try to give optimization suggestions. 1. Determination of PMF status1.1 Identify target usersAlthough product- market fit (PMF) is one of the most important concepts in Lean Startup , it is also the least clear one. In 2007, Marc Andreessen coined the term in his blog and defined it as:
In the PMF concept, there are also different splits for the entire market, which are generally divided into the following three types:
1.2 Identify target users
1.3 Discover potential user needsTo sum it up in one sentence: quickly, proactively and efficiently acquire high-quality, systematic knowledge and skills in fragmented time. 1.4 Define the product value propositionDedao is a knowledge service platform that serves those who are willing to learn actively and are keen on lifelong learning. It specifically helps users to efficiently acquire systematic knowledge in fragmented time based on functions and interests. Unlike other knowledge payment platforms on the market, it can strictly control the quality of content, allowing users to acquire effective knowledge in a short time. The model of Dedao tends to be the third type of PMF model. From the beginning of the product launch and in his speech at the end of the year, Luo Zhenyu has been conveying the idea to readers and the public: Dedao is aimed at lifelong learners and provides knowledge services. It attempts to draw a line between itself and other paid knowledge products on the market and occupy the minds of users - to become the best knowledge service provider in China. In Luo Zhenyu’s own words: The users of the GetApp are not what many Internet people call traffic , but rather the objects of service delivery. Knowledge services do not end with sales, but are a complete experience process. In the future, the Duoduo App will deliver knowledge services to users with a larger lineup, more rigorous logic, a larger system, and a better experience. 1.5 Design product MVPWhen designing a product MVP, pay attention to providing only one function and solving only one problem. 1.5.1 Define the primary goal of the product Acquire high-quality, systematic knowledge and skills quickly, proactively and efficiently in fragmented time. 1.5.2 Define the user flow of the product Register/Login——Search/View Column Content——Browse Course Content——Purchase/Subscribe——Learn 1.5.3 List product features according to each stage of the user flow
1.5.4 Prioritize features 1.5.5 Building the final feature set Register, Login, Audio player, Payment method, Course catalog, My purchases, My learning progress, Course introduction, Personal center, Underline notes, Update reminder, Search, Category details, Memory playback, Continuous playback, Speed playback 1.5.6 Key indicator quantification standards <br />The key indicators for verifying MVP are:
2. Current Operation Status2.1 Product IntroductionGet APP, a knowledge service app produced by the Luoji Siwei team, gathers the top domestic quality resources. It is mainly aimed at users of lifelong learning. It focuses on using fragmented time to learn systematic high-concentration knowledge. It serves users through paid columns, quality courses, master classes, listening to a book every day and other high-quality content, ultimately allowing users to complete the learning of systematic knowledge. slogan: Knowledge is available. Self-definition: Provide you with the most time-saving and efficient knowledge services. Self-description: Advocate fragmented learning methods to allow users to acquire effective knowledge in a short period of time. 2.2 User portraits and characteristics
2.3 Version iteration recordThe Get app updates its basic functions almost every month, such as optimizing the audio player, e-book layout and other functions. It pays great attention to and attaches great importance to the user experience when listening to audio, and achieves user retention. 2.4 User Feedback and CommentsFive-star reviews: One-star negative review : The most common problems with the DuoDe App are "crash crash, unreasonable recharge levels, and inability to export to Evernote". The operation, payment and learning functions were criticized the most by users. As a learning tool , users also care about the "audio experience" and "reading experience". These two modules are also the basic functions and are also the parts that have been continuously optimized.
2.5 Product Structure Layer ArchitectureExample of star module: (1) Listen to this book every day Functional description: Functional analysis: This is consistent with the product introduction, "Use fragmented time to obtain high-concentration knowledge." Users can learn about a book in a very short time, make quick choices and improve efficiency. (2) Today’s Learning Function description: The top of today's learning module displays the number of updated articles and the number of articles studied today in the form of a progress bar. The updated article content is displayed in a timeline format, and users can slide the pages. Click on the updated content to read it, the small circle on the content will turn into a check mark, and the task progress bar will change. Continuously scrolling down will take you to earlier content. The display method is the same as today's learning, and it will show the updated articles of the day and the number of articles you have learned. Functional analysis: Display learning progress in the form of a task progress bar, and give users feedback after reading the article (with a check mark and task bar progress changes). This method of giving users timely feedback can stimulate their enthusiasm for reading, and users are likely to read more in order to complete the progress bar. (3) Knowledge Ledger The knowledge ledger is divided into two modules: learning records and knowledge list. The learning record shows a seven-day learning time curve; the knowledge list includes history, my favorites, my notes, article comments, new knowledge list and created list viewing functions. Audio + text format: Provide users with different experience services to prevent users from missing content in audio, and provide timely prompts through text display, which helps users understand and transform knowledge. 2.6 Product Life CycleSince its launch in December 2015, the number of user downloads has been steadily increasing until August 2018, indicating that it is still in its overall growth stage. According to the data released by the team itself, the total number of users of the product is currently 5.29 million, with 420,000 daily active users. 2.7 Determine whether PMF is achievedAs of now, there are two data that I think can reflect the PMF value of the product:
Conclusion: Judging from the number of monthly active devices and the figures released by Get, it can be judged that the Get app has now reached the P/MF status. The operation and growth status of the Duode APP has realized its PMF positioning. Users recognize and accept Duode’s value proposition of lifelong learning: “quickly, actively and efficiently acquiring high-quality, systematic knowledge and skills in fragmented time.” 3. Analysis of the AARRR model obtained3.1 Introduction to AARRR Model
3.2 Acquisition: User AcquisitionOther channels for diversion
Brand Cooperation
Operational activities
Site functions
3.3 Activation: User Activation
3.4 Retention: User RetentionProduct function optimization
Content polishing and optimization
Build user migration costs
Create a UGC light community
Material Incentives
3.5 Revenue: Increase revenue
At present, there are 34 column subscriptions, with a cumulative subscription volume of more than 2.6 million, priced at 199 yuan each, which will generate more than 500 million yuan in revenue each year; there are 28 high-quality courses, with a unit price of 19.90-29.90 yuan, and a total of more than 2 million people purchasing them, which roughly contributes 50 million yuan in revenue; there are more than 1,000 audiobooks, priced at 4.99 yuan each. 3.6 Referral: Spreading recommendation
3.7 The complete process of new user experience product3.8 Weaknesses and SuggestionsUser Activation: There are currently only 25 paid columns, so there is no need to make precise recommendations for the columns. The larger the user base of knowledge services, the more segmented and vertical user learning needs there will be. As more and more course categories appear, optimized recommendation algorithms should be adopted to improve the efficiency of users actively acquiring information. User Retention:
About learning investment:
Recommended for dissemination:
4. Analysis of the HEART addiction model4.1 Heart Model ConceptGoogle builds an indicator system to measure user experience along the value transmission direction of goal-signal-indicator, and uses the HEART model to conduct quantitative research on user experience. As shown in the figure above, based on the above system scope, different products or services can define specific indicators to monitor user experience. 4.2 Happiness User Satisfaction
Net Promoter Score = (number of recommenders/total sample size) 100% - (number of detractors/total sample size) 200% After sampling 20 users who frequently use the app, the final calculated net recommendation score (NPS) is 60. 4.3 Engagement User Activity
Since its launch in December 2015, the number of user downloads has been steadily increasing until August 2018, indicating that it is still in its overall growth stage. According to the data released by the team itself, the total number of users of the product is currently 5.29 million, with 420,000 daily active users. 4.4 Adoption New User Acceptance
After checking the app store reviews, it was found that users' reviews of the new version were similar to those of the historical versions. 4.5 Retention
According to data from iResearch Qianfan, in March 2017, the number of active users of the Duoduo APP reached 3 million, an increase of 17% from February. It has been activated 69.87 million times and used for 9.02 million hours. 4.6 Task success
According to the latest data released by "Get" in March this year, as of March 5, the weekly opening rate of the column in the "Get" APP was 63.1%, and the daily opening rate of the column was 29.3%. Compared to the beginning, there has been a significant drop in data. On the one hand, there are irrational purchases caused by user anxiety in the era of knowledge payment, and on the other hand, there is the unpredictability of user service quality of knowledge payment products. When "Li Xiang's Business Insider" was first launched, the opening rate was over 90%, but one year later it was less than 15%. According to the official data released by Luo Pang, the average opening rate of the column is exactly 15%. For example, the average opening rate of popular WeChat public accounts in the past few years was only 4.63%. 5. Analysis of HOOK Addiction Model5.1 Introduction to HOOK Addiction ModelUser activation and retention are very important, and when it comes to user retention, the highest level is to make users addicted! The Hook model is divided into 4 stages. In simple terms, it is a 4-step process:
5.2.1 External trigger diversion
Brand Cooperation
Operational activities
Site functions
5.2.2 Internal trigger mood
Habit
Scenario
Place
5.3 Action5.3.1 Motivation Seek hope, avoid fear
Seek pleasure and avoid pain
5.3.2 Difficulty of Execution time
money
Physical labor
5.4 RewardSocial Rewards
Resource Rewards
Self-emotional rewards
5.5 InvestmentStore of Value
Loading the next bait at the same time
Social Relationships
5.6 User Retention Suggestions
Finally, it is worth mentioning that the university has recently enrolled its 0th batch of students. Apart from the good revenue brought by the high average order value, it is another attempt to build community attributes in addition to the knowledge city-state and users following, liking and commenting on each other. Create opportunities for user interaction, thereby bringing more word-of-mouth and dissemination. Source: |
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