Sunday, August 28, 2016

Operation irregularities Facebook WhatsApp with handling the full data were

Operation irregularities! Facebook WhatsApp with handling the full data were complaints

Last week, Whatsapp announced a major adjustment of its privacy provisions, will be shared with parent company Facebook includes the user's private information, email and other related data. Lei feng's network (search for "Lei feng's network" public attention) did report on the matter. I thought that WhatsApp is the first step to enter the commercial, however, now have a new twist. MIU MIU iPhone 5 Case MIU MIU iPhone 5 Case

MIU MIU iPhone 5 Case

Recently, the United States the electronic privacy information center (EPIC) pointed out that WhatsApp practices violate United States Federal Trade Commission (FTC) consent order, and that the Government was prepared to complain to the FTC asking WhatsApp to stop sharing with Facebook user data. EPIC 2014 WhatsApp is acquired by Facebook, has said the acquisition would not affect its own privacy and security policies, but now they promise.

In this regard, WhatsApp explained their reasons for sharing with Facebook user data is to allow users to communicate with interested companies, and their communications will still be end-to-end encryption. However, in addition to the terms set, how the user's data will be used, and will cause unpredictable legal issues. EPIC President Marc Rotenberg said, many users choose to register your WhatsApp is because WhatsApp can provide better privacy and security policy, so he thought the FTC to protect the privacy of users had been promised.

Not only is the EPIC, United Kingdom Information Commissioner, is also investigating the policy update WhatsApp compliance with data protection law in the country. However, Facebook still seems confident about the adjustment, the company spokeswoman said the company planned the operation, have to fulfil obligations are taken into account.

Read on:

After giving Facebook data, WhatsApp still safe?

Sunday, August 21, 2016

India proposed to allow Apple to shop 2 3 years are not required to purchase

According to tech site MacRumors reported, India Times published an article saying, India Government planned to allow the Apple first opened 3 stores in the country, in 2-3 years after opening does not require Apple purchasing locally. According to India laws and regulations, foreign companies in India sold products, must be 30% in the country of production or manufacture. Its products are mainly manufactured in China, Apple does not meet this requirement. Paul Frank iPad Air Case

Paul Frank iPad Air Case

India proposed to allow Apple to shop 2-3 years are not required to purchase local components

India flag

Last year, Apple in India have opened retail stores in this disorder appears to have been removed. At that time, the India Government sales of advanced technology products retailer fails to comply with these laws and regulations, and Apple has to India has opened retail stores in the new application materials submitted by the Government.

However, the India Department of industrial policy and promotion (hereinafter "DIPP") Apple "special" proposal was negatived by the Treasury, which Apple product is not a product of advanced technology.

Now, the DIPP and the Ministry of finance does not seem to allow Apple to do not comply with the laws and regulations of the cases opened retail stores are open. This will enable growth considering Apple sales in India manufacturing products, purchase components.

There are media reports that Apple has notified the India Government, it began in India buy charger. Apple India purchased charger for export.

India times, sources say, "insisted Apple locally produced product is fair, give 2-3 year exemption period can be considered reasonable, 5 years may be too long a time. "

Previously, Apple's Chief Executive, Tim Cook (TimCook) to India for a week-long visit, met with all parties, including the Prime Minister MODI. During Cook's visit, Apple announced a Maps set up in Hyderabad Development Center in Bangalore one iOS application and design of accelerator. Last quarter, Apple India revenues 56%, more than $ 1 billion.

Original link: cnbeta Paul Frank iPad Air Case

Wednesday, August 10, 2016

Experts talk about AI industry in China with those in academic strengths and

Though the robots discussed at the end of May fair has just ended Summit said its upcoming third China robot, is also a big brother at home and abroad gathered in, the same interpretation of top experts, is also a network of Lei Feng (search for "Lei feng's network", public interest) to just two summits within half a month, seems to be a bit overwhelming.

But after every summit, all ideas for tough wave of sound, is one of our most evocative place, is where the significance of the Summit. For example, what are the AI industry in China in terms of academic advantages and disadvantages of such a timeless topic--should listen to some tough collective opinion.

Discuss gentlemen, Korea Association of large data charge Hanseok Ko, the Carnegie Mellon Professor Xing Bo, Vice President Robert Weideman of Nuance company, Chinese Academy of Sciences Du Jiangfeng, seiche, business development General Manager IBM investment, small I robot CTO Chu repeatedly.

Experts talk about | AI industry in China with those in academic strengths and weaknesses

Moderator: AI industry in China with those in academic strengths and weaknesses, how to improve?

Hanseok KO: I think that a healthy ecological system, combined with many stakeholders, including universities, research institutions, and Government. Might want to look at a number of startups, many startups have a lot of energy and has a great vision for the future and views, create new business models. There should be some new business models to be developed, so that Governments and other stakeholders together to participate in construction of ecological system.

In private conversations, XING said a very clear answer, give the AI industry in China under his academic strengths and weaknesses.

Xing Bo: artificial intelligence market in China is very big, demand is large, starting relatively low, based on this scale, enter a good business, the threshold is easy to overcome, many entrepreneurs are willing to challenge.

My personal feeling is now industry is blind, with Oriental culture, or the interaction of media, Government and civil society as a whole, there are some unique characteristics.

Like on recently artificial intelligence of some results, including like AlphaGo of people machine contest of results, like some large company, like Google or Facebook and on some products of declared, I personal of observation is in China set off of restlessness than United States big, this is is good, can caused is big of concern, also makes noise very big, this to Government and research institutions of positioning, and to development personnel self target of set and path of set are caused has must of difficult or must of challenge.

Improvement is a long-term task, is not much of a problem. We say listen, hear the dark. For an entire layout, or research and development activities are the best layering. Instead of a honeycomb-style agitation, so you can have a bottom, or bottom up two-way interaction to achieve. Need people with good wisdom and patience to lead this State, also needs to researchers and the general public, or the force of old, the students develop their own taste and, for different information. Especially from these permissions are strong figures, or their information, has a cool ability to observe, it has opportunities for you, making your business or view has a better track.

Michael Kors Case for iPad

Governments expressed their concerns on many levels, and give some support experts to give them more platform or a say, experts from industry and academia to achieve a better distribution. I personally feel, it might not be accurate, most heroes are successful business people in the country. This is a very controversial topic. There are many school teachers have this thinking, also want to be able to have the opportunity to be able to publish.

Host: how to make AI better in China?

Robert Weideman: China is now used and other examples to inspire the industry, this is a very challenging thing, encouraging this environment, and let a lot of people to research things, I also agree very much, great job market in China, innovative spirit is also very strong, not only the Alibaba and Tencent's large companies, like other small companies.

What we can do, is to continue to confirm that what we will bring benefits in the field of artificial intelligence? While we understand what AI can get into the industry? Such as privacy concerns, people may be more concerned about. These link the Chinese Government to go into balancing the whole situation, to set standards, identify all the development will get a good result, rather than a negative result.

I think the current bottleneck in China, each country has encountered. Every country is doing just fine, though it is a very new thing. I think the entire government organizations and business organizations are in constant progress. Countries should be committed to the no-win situation, from my understanding, organizational aspects of the Government of China is in a leading position. From the business side, I think the Chinese Government should take a certain balance.

Host: what should China do basic research and study of quantum intelligent?

Du Jiangfeng: generally speaking from science to apply to industry, this is a complete set of chains, although much of the technology is scientifically to get. For example, went to the hospital to check such a technology, are very regular checks. Many companies in the industry are doing now, the 70 's already has, from a scientific discovery, to a technology, to form the size of an industry, there is a relatively long process. So to say that science is the source of technical, otherwise will be original or new technology found that has some basis in science. Which is why any country or any country must have strong technological strength? As you can see, in this regard, does very well in the world is the United States.

In the last century before, basically did very well in Europe, Europe in about the last 100 years is very good. But First century United States do very well, there is a strong underlying hardware capability.

China hardware in recent years, the development of science and technology of China, mandamansuan 50 years ' time. From the past decades, from a beginning is entirely, I research institution in China, inside the University experimental research, basically doing research, because the country's economic capacity, now some economies, gradually, gradually a certain degree of influence, there are certain basic research results appear.

Such as Huawei, is an original, there are some original innovations, there is a core intellectual property capabilities of enterprises, but not a lot, he's a film. Now why is economic restructuring? The road is long, without a very good tracking technology lead? Need for society as a whole, science is not 1:30, it must have been accumulated for a long time. Advances in technology will promote the progress of science, and the two complement each other. Industry, such as small I, centuries of history of the University, but in an enterprise may be years, decades, and business life in China is probably much lower, what is the cause?

Once you see an opportunity to make money, we have to fight, it's not a right way, must be the best thing to do, solidly down doing the best thing. No matter what industry, this is the same. Technology must be at the frontiers of science are studied, and value is a myth, it is not, good technique you have, I have, and you're gifted, it is better.

I as a researcher of scientific research, our goal is to train personnel, personnel training is more critical and more basic, if talents do not come out, is not the future of innovation, new technologies in the future. Mission to give people from generation to generation, in China anyway, and developed rapidly from scratch has been established based on a scientific mission.

Let us think about Japan, Japan from the Meiji era, the modern enterprise, we are rather late, let alone compared to Western countries like, along with the efforts of everyone, tomorrow will be better and better.

Moderator: current management, taxation, and so on a series of changes to improve the investment environment, development of artificial intelligence industry in China will be better?

Zhu frequently: last I participate in China industry Union Conference, has a consensus, now artificial intelligence of battlefield is United States and China two a main participation, China relative technology research aspects slightly explicit impetuous, not special solid, after all development not special long, now in fast run, because China special of market environment, has more of user group, has very big of market, may in some products and application Shang, also will go in market forefront. Just scads of newspapers already mentioned economic in China actually done quite a long time, not because of domestic problems, issues or market environment. Overseas customer service center has been developing for a long time, will this cost, reminiscent of the voice of this interaction, automatic in telephone customer service voice navigation feature much lower human capital. Customer service center of China weak point, as China's demographic dividend prior to the beginning of the end, the development of mobile Internet is not better than United States how much slower.

Mobile Internet is developing rapidly, there have been many world class enterprise, not necessarily how much slower will lead us more to think through the Internet and mobile Internet how to triage customer service pressure. Application in the virtual machine before, is micro-APP-wide channels, and so on, first appeared in China to do such a thing, is China's largest industry, no matter what kind of environment? Eventually converge.

Overseas again, launching many new channels, such as Facebook, is some text interactively, it is known as the newspaper's economic development. In China, more than 10 years starting when the environment is relatively poor, when registering a company, and registered capital is basically putting money in, then stamp out the money. Registration doesn't need the money now, relatively in terms of venture capital in China, have been doing a lot of work, in imitation of some practices in Silicon Valley, Zhongguancun in Beijing have very similar approaches, we also learn advanced methods of learning. Overall development time is short, outside of the study, many of them superficial things, runs very fast, but is not so solid. Must be the entire path is getting better, I feel all aspects of entrepreneurial path environment is getting better, and now artificial intelligence is very hot, so the current environment is particularly good.

Moderator: AI has begun to replace some of the customer service call center, experts predicted in this respect?

Hanseok KO: I think zhiqian has IBM,Watson laboratory and other guest by mentioned of machine capacity, and media Shang by mentioned of capacity, this actually are is on capacity strength and accuracy, on these artificial intelligence of tool and related of machine, more big degree Shang is with forecast of quality has relationship, and AI machine quality has relationship, if to replaced still also to is long of time. Especially into the AI software in certain specific areas, specific to the application. Such as different database might use such a tool, in a specific case are still very complex, very challenging. To get there very early, no way to say exactly what year would be, but it certainly is a very long time.

There are other speakers mentioned before on the other hand, there will be more opportunities for new, instead of being replaced. We do not need to consider because the machines instead of humans, and loss of jobs, we are more concerned about how new technologies can be used to create new employment opportunities? I think that once the training system, training system to sound was developed, whether the Government or a university-related training, there will be a new opportunity, I don't worry about my machine to beyond.

Xing Bo: artificial intelligence with other technological developments, in fact, not necessary to carry out the torture, or to pursue, in the social and ethical dimensions, because any development of a new technology will replace some functions in some way, and create new opportunities for activities or work. Such as auto-pilot instrument, now installed on the aircraft, but never worried about the pilot's job will disappear, but the quality of the work and level of comfort will be greatly improved. Pilots sit down and fly more than 20 hours a day, no one could imagine this thing. AI is the same, do not believe that it is humanity's career or to direct threats of such work may replace some us look dull and boring, and some of the more intense work. Such as legal instruments or the court clerk can make a robot, or a strange device to see the things, like allowing a judge and a doctor, people still play a key role.

A very high degree of difficulty, a high IQ to be competent.

Arbitration Arbitration than people may need to machine OK, I did not see this trend points to, there is an alternative relationship or the relationship between competition, it's just a function of the show. Now have the computer draw than artists well, but painters did disappear? Tears of the activity is not mechanically, binary result, I believe that individuals should have more to think about, let AI do what kind of thing? How to do better? Or is fear of artificial intelligence, artificial intelligence is an opportunity in itself, both in the work environment is a very good scene. I personal see not out produced has a opposition of situation appeared, certainly any a technology are has a adapted period, I see workers to hit machine, this situation will appeared, but cannot blame machine, also cannot blame invention machine of workers or research personnel, actually is a policy of problem, blame of is those capitalists, and commercial decision makers, problem should to they to asked, and not to produced artificial intelligence of people to questions.

Many people now have artificial intelligence can replace reporters write up, suddenly AI came out, do this for your brain, this challenge is different from the past, writing. Itself could make, I reserve me to think out and replace the human brain is a very fuzzy definition, is writing, still thinking, now called the nature of artificial intelligence software to write articles, basic cut and cut, rehabilitated, and will be very well written. Women knitting machines better than people now, even better. If people want to do, selling more expensive, called the original, handmade products. So it's not a competition, it is impossible to underestimate the human capacity and overestimate the ability of the machine, who before the threat, found his early ideas and valuable activity, not rigidly adhere to the old range, this is within a social and psychological reasons. We will not make the journalists disappeared in this industry, we will provide more information and better fake news, people of creative activities to be more cautious, more quality, and not a question of who will be replaced.

Host: will there be giant master AI technology while controlling the other technology in the future?

Robert Weideman: any time worried that too much, although artificial intelligence many breakthroughs have been made now, before today, heard a lot of artificial speech. While this concept appears in 1930-1940, but in 1980 had a breakthrough achievement now smart has some productive, for example in the world in the academic world, 2011-2012 has developed the AI is smart enough, so as to create productive force, these breakthrough results are not our own making, but academia offers the ability to break through, the breakthrough more widely. Funds for large companies more and faster feedback. Artificial intelligence is a concept that is too big, nothing is controlled, the power to develop into what for us, it is still too early. For us, understanding the science behind even aware of available technology, and deep, whether large companies or small companies are developing quickly, such as small companies and even responded very positively, than some of the Giants responded very quickly. That are applied on a global scale. Michael Kors Case for iPad

Look at the situation now, the information is shared. We have the desire to take advantage of this technology is increasing, concern is not an independent company, but the world should be concerned about.

Moderator: mastered the core technologies, influence on society has a lot of tilt, what?

Seiche: this problem should not say a technical development of inequality, or technology development to better serve the quality of life, new technologies appear unstoppable, was well as long as there is a technology will be widely used, you do not refuse phone or a good environment. A technical invention or produce, to our standard of living must be promoted, inequalities are two different things. Technology, whether it be public or scientific and technical workers, we work hard every day, every work is to better technology, exploring the future, let us learn more knowledge. To apply this knowledge to better place, make people's lives better, from a society more and more beautiful. The inequality of social equality? I don't think so from the development of science and technology, but the system. Health data such as IBM, and I think this AI Wu technical development, unlikely to exceed human intelligence, artificial intelligence is not a new subject, is the subject of an historical period, preferably in a right time and place for the emergence of such a thing would promote development in this area, use this opportunity. Instead of rising to such a chance with a good ethical thing, with some emerging technology there is no difference. Michael Kors Case for iPad

Do you think this is not really a technical issue, but a matter of policy?

Yes, I think it is not a concept, I think any technical invention and creation of certain people's quality of life, health, social, getting better and better, and if you think about it, for a long time to do some mechanical work, any machine can do such a thing, free people. Can find a new job, let the machines do, why don't you? You can work four-day, three-day holiday.

Summary:

As the Robert Weideman Mr said, China AI industry currently by at of bottleneck, each national are has encountered, we has himself of advantage, also has himself of disadvantage, but we special to note of, AI is one relates research close cooperation to out results of national movement, regardless of past we how to contributed to a industry, this once, we should abandoned China in past outlet rise Shi of impetuous and shortsighted, abandoned past attention commercial not attention academic of bias, Abandoned AI will have a tremendous threat to our social development bias, with "any new technology development, will replace some functions in some way" attitude to meet it.

Wednesday, August 3, 2016

Growth Hacking really allows the user to quickly grow

Lei feng's network (search for "Lei feng's network" public attention): author of North Sea, from the calculation, public advertising (ID:Comp_Ad)

Growth Hacking really allows the user to quickly grow?

The saying goes, "good wine needs no Bush"; they also said, "wine is also deeply afraid of the alley." Then, they said, his wine not fragrant Bush is not deep, just get an abacus weave his magic skills, accountant, data scientists, wine can be sold. This is called data-driven rapid user growth, jargon called "Growth Hacking."

First heard about "Growth Hacking" this word, is in the last year a meeting of big data. (I forget, because now all the conferences are called data conferencing. ) When I got a Pocket full of negative energy, ready to power released a cacophony of comments, suddenly found a former Facebook engineers how to use data analysis to drive user product "Growth Hacking."

In fact, the engineer's speeches are one of the fair, and no advertising material is not a panacea, as also stressed that only products can improve retention rates. But then, this thing was out of shape, the Internet community there beliefs, data analysis is the Midas touch of magic. As you did for many years on the streets before the tabloid publicity: through the clothing acupuncture, can cause increased breast. As a code for so many years to deal with data and livestock, has said nothing on the issue, is the throat. Today we'll talk about, data analysis can really drive the rapid growth of consumer products?

For data and methods in the Jurassic and Cretaceous periods, the Chinese market, emphasized the role of data in General is a meaning of. Look at the data, rather than simple thanks to the wealth of useful, but then again again, data are really not made of money, does not mean that you believe in him and receive eternal life. Saint Cloud, "all number than many" useful in data operations in those scenes, how to make it useful, is the public's highly qualified readers to figure out the problem.

| Data management of the three axes

About using data-driven business growth, there have recently been many books and lectures. In fact, the way there is no mystery here, most data operations, methods can be summed up in the following three axes:

A, building conversion funnels

The so-called conversion funnel, is a step by step how your business users to cheat. Following; a few, you know at a glance:

Advertising: show-> click-> transform

Games: download-> activation-> retirement pay->

Sister: shaking it kissing dating->-> hand->-> bed

Regardless of the business above, can be broken down into a series of stages, after each stage, users are only part preserved. On every aspect of the funnel and accurately record data in order to analyze and optimize all aspects of the adoption rates, data operations infrastructure.

Second, multi-dimensional data report to find the problem

Common pain points in data operations, is an aspect of knowing conversion funnel through rate is low, but can not find the way to improve the. Common solutions, is playing fine data down to each dimension were observed, which often can be found on the product or system problems. If more than one dimension can be flexibly combined observation data into a data cube (data Cube). The funnel and Internet product operation the figure below data it doesn't matter, but the principles are the same.

Growth Hacking really allows the user to quickly grow?

For example, you find the ad click rate is low, which is found on the Chrome browser hits down the overall statistics, then delve into causes at the Chrome browser, the result is likely to be your Flash advertising materials directly to shield by Chrome.

The multidimensional data reports to locate and find the problem quite effectively, it is actually an efficient debug, is still a "taking" strategies.

Third, using a/b testing to guide product evolution

Is there any data-driven "attack" strategy? There are, of course, develop more products may improve, putting them on the line, who falls in the real data to decide. This a/b testing methods, tend to be all lies in the ideal can optimize the magic of good products, but also "better" one of the foundations of the theory.

Speaking of A/B system, but is not a simple thing. How to build both the accuracy and efficiency of the experimental framework, and write a long article, and we will not go into here.

Growth Hacking really allows the user to quickly grow?

The three axes above, for running a product is very important. But if you think you have this kind of thinking of data, you can use data analysis to make great products, it might as well wash sleep. Victorias Secret iPhone 5 Case

Victorias Secret Case

| Data operation can not solve the problem

Users on how to choose and evaluate a product, different areas have different rules. In simple terms, we can divide the products into rational and emotional products. For example, 3C, is typical of the rational products and apparel merchant, is the perception of relative products. Calculating advertising and recommendation system, although the technology stack have similarities, but the former is the rational products, the latter sensibility is much stronger.

For rational products, due to the objective of a stable and easy to quantify, data is one of the most critical optimization techniques. Advertising products, advertisers use its purpose, in order to obtain higher profits (of course this profit may be long-term or short-term), rather than to spiritual joy or pleasure. Thus, when two advertising platform is very big difference in the input-output ratio, clients will not be taken into account which experience superior, but did not hesitate to choose that makes more money.

But when it comes to sensitive products, it is not so simple. Remember the app just fire up when a wave from the side of the line officers will be diverted over the Internet analysts have Lotus at the mouth, with analysis of why the app is the end product of human social, why people still use QQ is the obstacle of the wheel of history. But last year, about the same analysts, and discuss why after the app transfer to mobile QQ users are having. So what is QQ good or micro-well? So problems at different times, under different users have different answers, and we're never going to such mobile IM products, give a general quantitative targets. Operating in sensitive products, since it is difficult to determine the optimal target is given, data optimization is the ceiling.

So, data operations under what circumstances could experience significant bottleneck? Generally speaking the following aspects.

Direction, product innovation cannot be obtained through data

A few years ago, there was a popular gaming company Zynga. It is said that Zynga's boss does not encourage innovation, adhere to the "-ISM", others copied game ideas, fast operating system with its own set of data ahead of the competition. What kind of data operating system? After all is a lot of a/b testing. Design: grass is green. Product manager says: no, green red data that counts! Then they really will flow into red grass and green grass in two configurations, if the data reflecting the Red meadow high user fees, then into the grass, red, botanists can go to hell! Relying on such a system, prolonged occupation within Zynga Facebook games top three. What happened to it? Answer is very clear – who know Zynga?

Growth Hacking really allows the user to quickly grow?

Zynga of decline certainly reasons many, but had to said only data on the of products operation thought is pushing one of: you of data test system again mature, also but on can make make grass coated red coated green such of tricks, and game of new mode, and new plot, and new design such of real innovation direction, not you has has data operation system on can has, even also cannot through data system to judge high. Take the iPhone for example, large screen interactive, Multi-touch, store these shine product features, painted by his faith in the products and insight, rather than markets and demand for research results.

Even when small short-term improvements, total reliance on an a/b test also does not work. We are able to pick out the data of a good plan, but if you only X/Y/Z option, then how do you measure a also can't get out. Someone asks: If all listed all the possible choice of products, data to choose? Operation is not playing mahjong, cards that combine the total number of children, will truly have the potential products need to have systematic and innovative thinking, product manager, coffee and others go to the bathroom on time trying, it is possible to find. Besides, even products like tiles, so clearly, when the product direction and becomes a lot, due to "dimension curse" exists, we can't accumulate sufficient statistical data to make decisions within a limited time.

Here actually have when it comes to the user product is truly the most important engine of growth, that is, product manager of insight and creativity.

Second, long-term user feedback it is difficult to judge

The Facebook engineer in his speech spoke of a vivid example: Facebook for years insisted on rigorous a/b testing framework decision if a new feature is been used in online systems. However,; what is it? He said Facebook actually PC version of Home for three years without any significant upgrades. In fact, the result is thought-provoking in itself: is Facebook becomes the end product of human social networks, and has been optimized to a global optimum and cannot be improved?

Conclusion clearly is not the case, I think even in that three-year abandoned many of the revised programmes, not necessarily manslaughter version: current a/b testing framework, data for only a relatively short period, and long-term trends and conclusions, if there is no faith in the product adheres to, the day it is hard to wait to come to fruition.

I heard about it from the traditional print journal rule: generally, the magazine for the first few months after the revision, all stink. And then a few months later, the new version may lead to significant increases in circulation. It can also be used as a case of short-term data deficiencies.

Growth Hacking really allows the user to quickly grow?

Three, game scene cannot use data decision

Game sex scenes are very common in the Internet products. For example, you might know, Explore and Exploit problem for Internet products, is part of stochastic-flow to explore unknown space, another part of the flow according to the statistically optimal decisions. Friends familiar with this area knows that if we have two E&E strategy is through a/b testing to determine their advantages and disadvantages. As to why, it is recommended that you settle E&E background knowledge on their own, when one questions the right now!

In addition to E&E, still many other game scenarios, such as advertising in mechanism design problem (that is, the rules of the bidding market how to formulate); another example has some social gaming strategy, are in principle not through simple flow can be effective a/b test.

Growth Hacking really allows the user to quickly grow?

Of course, understanding the game questions, needs deep product insight and macro-thinking skills, there are many product managers adhere to the rough hard, rather pretend that this problem does not exist.

| What do fast user growth?

Data this cashier, while essential, is not the anchor pin for user growth. It can really drive a product's users is growing rapidly, and by what methods? From the perspective of successful products in the history, here are some ideas worthy of note:

First, make a truly outstanding products

To put it bluntly, rapid user growth, the core issue is to do everything possible to make good wine. Product is good is really good, this is fundamental to all products and operations should be pursued. As mentioned above some of the data issues, excellent product manager's intuition and judgment, not findings consistent with short-term data. On the fork, adhere to the principle of product first, data feeds to the second sex, is more reasonable in the long term.

In particular, really good products generally are not based on the analysis of stock market came up, so there is no ready statistics can support. Pokeman recent fires Go, rapid user growth staggering, but I don't think it has established a comprehensive data operating system, even if there are not key to its growth.

Fast user growth in almost all of the great products, all from "good products" within the power, much like Google, Facebook, iPhone, such as taxi and broadcast applications.

Second, find a strategic promotion channels

What is strategic marketing channels? Simply put, are "cheap, full" channel. Many Internet users of the fast-growing, often in foot work. Victorias Secret Case

For example, the rise of cross-border e-commerce, and early they strategically a lot purchased from the Facebook traffic has a lot to do with it. And to this day. Facebook advertising prices have been pushed up a lot, it the opportunity isn't there any more.

In China, many of the fast-growing mobile Internet products non-BAT, most rely on pre-installed channels of this strategy. Manufacturers have pre-installed, operators have pre-installed, solution providers also have preinstalled. Pre-installed in the year cost of one-fifth positive spending today's products, today has grown into a big company.

Undervalued strategic channels keep a keen sense of smell, the rapid growth of the product is essential.

Third, using viral tools

Viral distribution, there are two classes, one is infected and one is a pyramid scheme.

So-called infection was induced and bundled installation through a already has a large installed capacity of products, by means of coercion or even secret operations, bringing another product to the user's Terminal is often more economical way. Even in the ordinary channels of advertising to do good results, for example: cleaning or security products on the move, often directly in advertising intimidating user "your phone memory low" or "your cell phone can be risky", users feel a daisy a tight, was installed.

Pyramid schemes are all familiar. After social networks, MLM-style promotional programme is more convenient. All kinds of variety group fight mode, and forwarded the draw mode, although it cannot be said to be pyramid schemes in the strict sense, the essence of which is to mobilize the masses the masses, this way if used well, will do wonders, who with who knows what.

Four, branding the users cognitive

Community awareness of the importance of this is lacking. Products stand to keep GE Uncle lying like that attitude can also earn money, core user awareness is critical.

In the Internet sector, people often direct communication to Minister creed, insufficient emphasis in brand-building. However, the recent success of companies like oppo, began re-examining the role of branding and user awareness. In my opinion, successful brand building user growth, may be fast and healthy.

Talk so much, it doesn't mean that data management is important, but rather to achieve rapid growth in product, in fact, there are more important things. All of today's Internet practitioners, to master the correct data management methodology, and data do not blindly worship teach religious. A popular and successful products, although the data operations indispensable, but to focus on core "wine" and "moved to the alley" on the two key points.

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