[00:02] could afford large teams and years of development, now anyone can create their own full-fledged app or agency business literally in a conversation with GPC chat.  Now is the best time to
[00:14] dozens of employees, designers, or full-time programmers. A couple of strong tools with a subscription and a clear understanding of the market's pain points are enough to launch a pilot project and test a hypothesis.  The generative market is
[00:27] already growing by billions annually and is estimated to reach trillions of dollars by the end of the next decade.  My name is Pavel.  I am the are engaged in content production using e avatars.  And this year, we've already
[00:41] helped our clients collect over 50 million reach and attract more than 150,000 leads.  I see every day how the right idea and a well-thought-out process allow small companies to compete with the biggest players.  And
[00:54] now is the best time to start.   The first area we'll discuss today is, of course, the content factory.   You can probably hear from every corner that it’s a content factory, a content factory.  Some people claim that without it, business will die.
[01:07] magic pill that doesn’t actually work.  We'll talk about how this works in practice and how to implement a content factory and use it in a real business.  After all, the potential here is enormous.  Content Factory is a
[01:20] system for producing large volumes of multi-format content to attract new customers.  Thanks to modern networks, the process can be radically simplified by one person using a combination of several tools, who
[01:33] can manage the entire chain and create a significant volume of content for clients or for themselves.  Yes, this model cannot be fully autonomous at the moment.  We need specialists and real people.  But I think that in the
[01:45] , I think one person could easily control this entire chain.  At potential for automation.  The first is training, the so-called search for come up with ideas out of our heads, but have a
[02:00] that we can take and work with? Here we have a combination of neural networks and automation, where our task is to find competitors.  And then the videos.  it turns out to be such a huge knowledge base.  Then Neroset
[02:15] studies this based on certain indicators and finds those cool, viral ideas that we can then take into work. Next, there is the content production process tools is connected from services that create simple carousels, doha for
[02:30] generating video ads, and LMLS for dubbing your voice, voice, or What three books will help you become a millionaire?  The first book is Thinking Fast and Slow.  Daniel Kahneman.  A Nobel laureate explains
[02:43] how the brain works when making decisions. This eliminates the need to constantly shoot new material.  At the same time, it is possible and necessary to work with live content. For example, you can cut one podcast episode into dozens of new
[02:56] video formats and upload them to gain additional reach.   The next stage is distribution and scaling of content.  And the content is posted through a network of accounts or a farm of accounts that operate on the
[03:08] database.  Specialized software simulates user actions.  And, for example, 30 original videos can be distributed across 16 platforms, 10 accounts, and this is already 1,800 publications, and, from the original 30, 30 units of content.  This direction as a
[03:22] popular.  Brands and companies are actively looking for people who can set up and manage a content factory and deliver measurable results.  I will answer the question anyway: why strategically?  This is very important.  Because paid
[03:35] traffic channels are becoming more expensive every year, while organic promotion, on the contrary, better over time.  That is, you create more content, and if you develop in this direction, then, accordingly, your content most likely improves.  And
[03:49] your results grow exponentially, meaning that with the right amount of effort, your results will grow.  If we're talking about targeted advertising, most likely, there is a certain number of impressions, the price will only
[04:01] increase and increase.  The next direction is ipping.  You may have such as Stroy and the like, offer their audience pay for a certain number of views.  This scheme is called the
[04:16] content reward model.  It is very popular in the West .  Many bloggers and brands work on this principle.   The main goal here is media reach for brands.  for example, or betting, and they make videos, so-
[04:29] called stickers.  And they take a video, put the company name on top, and amount of content like that, with movies, with memes, with interesting materials, and make money from it .  The task here is to find an
[04:42] company that can offer to work in this format.  In this direction, it is cool to work with non-growths. That is, we can upload long units of content there, for example, to
[04:54] services like Opel Clip, and it will cut it all into short videos.  Next, scale, you can use networks of accounts and software that simulate user actions.  This way, we can uniquely and duplicate content across a
[05:07] additional traffic and, consequently, additional income.  Here are some figures on this topic.  If we are talking about dash 3 countries, then this is approximately a 50-200 dollar fork for 1 million views.  If we're talking about a dash2 dash country, there's
[05:21] We're currently developing Bürger Lessons—a platform that brings together company offers and connects them with brands and creators ready to create the description, be sure to go and
[05:35] want to develop in this direction. So if you want to do this, write to us, we will help you.  Next, these are autonomous systems of Yaagents.  These are no longer the usual report bots, but full-fledged virtual employees who
[05:48] make their own decisions, learn from their mistakes, and work without interruption.  Such solutions are already being implemented.  For example, legal assistants can prepare documents there in minutes for a nominal fee, or
[06:00] operators can automatically process orders and transfer them to warehouses. any industry to address a specific task.  Imagine an assistant who receives a bill from a clinic, calls the appropriate department, negotiates,
[06:15] and secures a discount, and you receive a percentage of the savings. You can create such an assistant even without programming skills.  A basic understanding of logic and a few days of working with platforms like
[06:28] Voice Flow and its analogues is enough.  And the last big.  Here I would recommend focusing on lists of ideas from well-known accelerators, such as Y KoBor.  And from it came
[06:41] companies such as Airbnb, Striple, Open, and then Global, or Google for Startups.  But I would look at what companies are going there and draw inspiration from there.  Here, I would also advise combining
[06:57] content factories.  This is currently working very well in the AI ​​app market, where we initially approach our idea selection from a virality perspective.  That is, we understand that the potential of the idea that we want to introduce to the market is that
[07:12] it will attract people through social networks.  What could it be? There, I don't know, there are simple applications like, I don't know, ah, neurophoto session, do their own neurophoto session, it's very cool and can create a
[07:26] show how it works and, accordingly, attract an audience there.  It could also be some simple app for counting found some direction that has the potential for virality, quickly
[07:40] created it, the so-called MVP version, and begin testing it, content factory there.  a large amount of content on social networks and thereby attract the first users to your application.  Today we discussed, and my
[07:54] main advice is not to lose focus, choose one thing, a specific pain point, a specific target audience and try to solve it.  And good luck to will be all the useful links.  Also come to my Telegram channel, there is a lot of
[08:08] useful information there. See you.  M.