Под продвижением понимается комплекс маркетинговых мероприятий, целями которых являются увеличение доли товара, услуги, компании или бренда, занимаемой ими на рынке; вывод товара на рынок; увеличение их узнаваемости; привлечение новых клиентов. В практическом маркетинге есть достаточно много способов продвижения. Условно их можно разбить на две категории: традиционный маркетинг и интернет-маркетинг.
1. Огромный опыт использования программного инструментария. 2. Более 100 своих собственных проектов. 3. Эксперименты в белом продвижении, постоянный поиск новых методик. 4. Опыт работы копирайтером в своих проектах. 5. Постоянно трачу время на аналитику в сети, есть друзья которые сделали аналитику своей второй жизнью, обращаюсь к ним как к экспертам. 6. Есть доступ к инсайдерской информации в внутреполитической жизни страны. 7. Большой жизненный опыт и понимание "кто есть кто" в политике, финансовой и экономической деятельности страны. 8. Способность работать на "поток". 9. Усидчивость и концетрация на текущем проекте/задании. 10. Полностью обеспечен технически и прогаммно. Огромнейший опыт в хардверном и софтверном обеспечении, практически знаком с Win, Mac, Linux на уровне администратора и в теории готов осваивать другие платформы если это того потребует. 11. Пользуюсь более чем десятком сервисов по СММ и готов вкладывать финансы в эти сервисы для улучшения показателей за свой счет. 12. Работаю удаленно и предпочитаю работать удаленно для обеспечения лучших результатов, выработки и мобильности. 13. Опыт работы в РА с 1997 года (БлицИнформ) 1999 (Строительство и Реконструкция) 2001 (телеканал O-TV) Арт-Дизайн (2013). 14. Свои новостийные проекты. 15. Экспертные и аналитические статьи как автор. 16. Консультант по вопросам в досудебных делах по вопросам тяжб с банками.
Cheat views or other numerical parameters on YouTube has existed for a long time. Someone strongly opposed, someone silently uses it. I came across the cheat and worked for 3 years and during that time I collected a large amount of information.
Let's start to analyze the main myths in terms of their realism:
11) Cheating increases only the number of views, while reducing retention and other factors.
Basically it is true. But, it concerns the cheapest options for cheating views. At the moment there is a technical possibility to set the desired hold when you scroll through views, both as a percentage and in absolute terms.
For other factors - the truth. Views, as such, devoid of any other activity, social cues or behavioral factors, even with high retention, give extremely little result.
22) Cheating leads to the pessimization of the channel and the subsequent channel ban.
Of course, such a risk exists. I read about it too, but! I used wrap hundreds and hundreds of times for my work.
Even tests were conducted, during which I bought cheap views on the test channel, in the amount of 10 to 40 thousand, with low retention and massively organized complaints about these videos for the reason - Invalid traffic.
I did not receive a channel channel even once. Not even a warning was received. But I do not urge to use cheat. There is no guarantee that in one day, YouTube will not decide to start fighting it actively.
You should always keep in mind such a moment - to see statistically watched views is very easy. Even taking into account the fact that it is now possible to expose the source of the traffic, and in the statistics of the channel they will be reflected with a given parameter, in any case, YouTube’s algorithms can easily understand the fact that the views are cheated. There are a lot of related parameters, ranging from the percentage of retention and ending with the deviation from the standard ER-indicators for the channel as a whole with the video being screwed up, for which it is easy to isolate the fact of cheating.
Channel pessimization. Also, in the course of repeated testing, I did not see the relationship with cheating with the pessimization of the channel or video. There have been many tests for this. But, the important point is that especially many positive moments were not noticed either. But about the positive moments - more!
33) Cheating additional parameters, such as likes, reposts, comments and so on, will immediately help me to rise in the issue or in the recommendations.
There is very little truth in this. Cheating these parameters gives a short-term effect. In addition, to achieve a good result, you need to cheat in large quantities. But here in the course comes such a thing as behavioral factors. In the concept of YouTube is not that good movie, which has 10,000 likes, a lot of reposts, add to favorites and comments, but one that has all these actions were taken from a smaller number of users.
The ranking of the movie depends largely on behavioral factors. This parameter is rarely taken into account (a separate article will be written about it) and is completely in vain. For a YouTube ranking system, a very important indicator is the fact that one user makes as many actions as possible with a video — like, comment, repost, watch the next video or switch to a channel. This parameter, when cheating, is very low, despite the large number of actions.
Therefore, the effectiveness of this method is also close to zero.
44) I’m going to wind up 100.000 views and go to the TOP.
Everything is more complicated and interesting. I have had positive experiences in this direction. 6 or 7 clips were displayed in the TOP by a high-frequency key for a short time. Lifetime in the TOP was extremely short, regardless of the quality of the content. 3 to 8 hours. In the future, all the videos showed poor results on a set of views.
It should be understood that in addition to cheating views, to achieve this goal, a whole complex was used on cheating other parameters.
But, for the most part, these are already stories from the past. It still works, but everything is getting worse and worse, and the scale for entry must be increased.
55) I will buy subscribers and the channel will spin.
Alas, to buy real subscribers, at the moment, you can only through advertising channel. You can consider the option of cheating cheap bots - this is easily calculated by the algorithm and written off; You can buy real through the stock exchanges, but the effect of this act will be quite a bit.
66) Cheating in the first moments, after the publication of the video helps a lot.
It's more interesting here. I can say that in narrow niches, with little competition, this way of reality gives a certain impetus to the growth of the video, both in the search and in the recommendations. And there is certainly BUT. But not always and not in any niche)
Use or not use - your choice. As mentioned earlier, the effect in the long term is difficult to predict.
In conclusion, I want to say such a thing - the effectiveness of cheating is constantly decreasing. This is influenced by the change in the ranking algorithm in the direction of behavioral factors and other "human parameters".
At the moment, I almost refused to use this technology. I use it as an additional tool on test or new channels.
When you take someone else's channel into promotion or you want to change something on your own, then first of all you need to conduct a competent audit. In this article, I will share some case studies from my own practice that are completely based on YouTube Analytics . I hope that this will help to find some technical flaws and raise the views in the least cheap way. If you are interested in promotion, it is better to read the article about promotion on YouTube .
Studying spikes on graphs of main metrics
The first step is to conduct a basic analysis. Usually for this, I study the charts of the main metrics (views, subscribers, likes) and I look for there if there are any sharp rises and falls. Studying spikes makes it clear:
Was cheat used on the channel
What videos bring views (regular or some specific)
Is there a correlation between different graphs
Let's look at an example. Here are the graphics of two channels that release videos with the same frequency. Chart 1.
Chart 2
What conclusion can be made? The second graph shows a sharp increase in views on certain days. Most likely, the channel has a permanent audience, which follows the release of commercials. When the video comes out, they watch it.
On the first chart there are no sharp rises and falls. One of the initial hypotheses is that the channel has several videos that generate organic traffic, while the audience does not follow the rest of the content. Most likely, the channel has several videos with a huge number of views, and the rest of the video are gaining a couple of thousand. Those. surely the channel has a large variance in views from the video.
Example 2
Here we see a very sharp rise in views on a particular day. If these were real people, then the schedule of the fall would be more gentle. Advertising and crops also always have a smoother drop. Right there, views the day before and the day after have almost the same value. My hypothesis was - cheat or deception service crops. But of course we must check.
2. We study playback devices
Studying the devices from which people watch video content helps me improve image pictures and increase the amount of recommended traffic in the future. Consider an example. Below are the devices of two different channels. Channel 1.
Channel 2.
On the first channel, the number of views from mobile phones is 46%, on the second channel - 24%. If the number of views from the phones is quite large (for me it is now 35% +), then rather large text should be made on miniatures. If there is a lot of desktop traffic, then the emphasis should be placed on the image (although the text should also be)
3. Check the channel for cheat.
If you undertake a channel on a commercial basis, then you should definitely check it for cheating. Twisted channel can move much worse. He may not fall into the recommendations, as well as with great difficulty to move to the top.
Cheat, I advise you to look for the following algorithm:
See if there are jumps in the graphs of metrics up and a sharp drop on the initial value (as in the example of the first item).
We study external sources of traffic and try to find “left” sites.
We study the sources for deviations (both up and down) from the retention of the channel or roller.
To make it easier, let's take an example. We found a graph with a metric which has a sharp jump and the same sharp fall.
Next, go to the analytics of this particular day and analyze the traffic. On that day, when I found the jump, there was no great hold on external sources.
After examining external sources, we see that the traffic comes with the Safari app and the Apple Messages app.
Having studied the information on the Internet, it becomes clear that the cheat was used. This should be immediately discussed with the client. There is a likelihood that the channel is already under pessimization, and that this could happen in the future. I had such a case: they started growing the channel to the client, everything went well, but one day YouTube wrote off a certain number of subscribers who were fakes. Before me, the channel was wound up, and, in fact, the final number of subscribers after 2 months of work turned out to be less than it was at the beginning. In my case, there was an adequate client, but otherwise everything could turn out to be worse. Therefore, always be sure to check the channel for cheating!
4. Check the number of subscribers who watch your channel.
If more than 10% of views are from subscribers, then you can increase the views after a while by optimizing the time and day of the videos. According to my calculations, every 10% of views from subscribers can increase the total views by 4-5%. For example, if you have not optimized the time and day of the commercials, and subscribers account for 30% of all views, then you can raise the total views to 15% more. You can find out the number of views from subscribers in the “Views” tab and then “Status”
In this example, it makes sense to spend time optimizing the output of commercials.
In this example, it will not do anything.
I will write a separate material in the near future about optimizing the release time, but in general it is based on two components:
Report “Real-time data”
Your own observations
Take a test: release the same type of video on different days of the week and track user behavior in the analytics in the “Real-time data” report. The main task is to find the day and time when users are most active and the video is gaining more views.
5. We are looking for a correlation between different types of traffic.
One of the most difficult points, but at the same time the most effective. Without practice, it is rather difficult to find something here, but when you “put your hand on”, such things will strike the eye that, for example, the channel has a wrong correlation between some indicators. After analyzing the lower value, you can find some problems that will help increase traffic.
Here you need an example.
I once worked with a channel that has almost all traffic from a YouTube search.
But there was almost no traffic from google
The picture when organic from YouTube is more than organic from Google is quite normal. But here the ratio was 141: 1. This is a lot and take a look at organics from Google for sure.
In my case, the problem was the following: translation of descriptions and titles into other languages was used on the channel. The English version of the vidos got into the Russian issue, but there was no Russian-speaking version at all.
I checked different sites for this problem, but at that time (and even now too) there was no solution. Seeing that there is no English-speaking Google traffic either, I simply deleted the English version.
Traffic in a few days began to grow and grows until now. Indicators of course miserable, but for commercial subjects not so bad.
If this type of material is interesting, then a little later I can write a material on a more complex audit of YouTube channels. Ask questions in the comments, it's always interesting to discuss some
