# Programar com chatgpt Marketer Vs Machine: We need to train the marketer to train the machine
1. Introdução: a importância da IA no marketing digital
2. O que são leads orgânicos?
3. Como os leads orgânicos diferem dos leads pagos?
4. Por que gerar leads orgânicos é importante para o seu negócio?
5. Dicas práticas para otimizar seu site para os mecanismos de busca
6. Como criar conteúdo engajador para gerar mais leads orgânicos
7. Como usar as redes sociais para gerar leads orgânicos
8. O papel da inteligência artificial na geração de leads orgânicos
9. Como treinar a máquina para gerar mais leads orgânicos
10. Como construir uma lista de e-mails com leads orgânicos
11. Como usar chatgpt no marketing para gerar mais leads orgânicos
12. O futuro do marketing digital: o papel da inteligência artificial na tomada de decisões de marketing
13. Como medir o sucesso da geração de leads orgânicos?
14. Quais são os desafios de trabalhar com chatgpt no marketing?
15. Conclusão: A importância do treinamento do profissional de marketing para trabalhar com chatgpt.

# FAQ sobre geração de leads orgânicos.
1. Como os leads orgânicos geram mais resultados para meu negócio?
2. Como posso melhorar meu posicionamento orgânico nos mecanismos de busca?
3. Quais são as melhores práticas para criar conteúdo engajador?
4. Como posso utilizar as redes sociais para gerar mais leads orgânicos?
5. Como posso acompanhar e medir o sucesso da minha estratégia de geração de leads orgânicos?

Para treinar o chatgpt no marketing, é preciso ter uma equipe de marketing bem treinada e com conhecimentos técnicos em IA. O chatgpt pode ajudar a equipe a gerar insights e impulsionar decisões estratégicas, mas é fundamental que a equipe entenda como utilizá-lo da melhor forma para gerar resultados. Gerar leads orgânicos é essencial para qualquer negócio que busca crescer de forma sustentável e assertiva. Investir em conteúdo de qualidade, em uma estratégia de SEO sólida e em boas práticas nas redes sociais é o primeiro passo para alcançar esse objetivo. O futuro do marketing digital é cada vez mais orientado pela inteligência artificial, mas ainda assim é preciso lembrar que o toque humano e a criatividade são fundamentais em qualquer estratégia de marketing bem-sucedida.

br>Join us on Wednesdays for ChatGPT, CRO and AI: 40 Days to build a MECLABS Marketing SuperFunnel –

Note: We have closed out the last Cohort, but we have a new one beginning in January 2023.

This is not a FastClass. This is an urgent message. It’s a warning. It’s a discovery. The pace of innovation is accelerating so fast that it is hard for marketers to keep up.

To illustrate this point, MECLABS Institute recently ran an experiment pitting a human marketer against artificial intelligence (AI) and machine learning (ML) tools in digital advertising.

It was akin to a famous chess battle. IBM’s Deep Blue chess-playing supercomputer originally lost to world champion Garry Kasparov in 1996. But after it was upgraded in 1997, the machine beat the man.

So, does AI and ML digital advertising technology only have the capacity of the original version of Deep Blue? Or is already able to perform like the upgraded version?

In other words, can the marketer outperform the machine? What happens when we put them head-to-head? What can the marketer do better than the machine? What can the machine do better than the marketer?

Watch our latest video as Flint McGlaughlin explains who won in our own competition and spurs your curiosity for this ever-more-important topic with six key observations. Plus, Flint reveals a new research program designed to help you solve this problem and get your funnel ready for what’s happening next.

You can watch the entire video, or jump ahead to these key moments:

0:00 Marketer Vs Machine: We need to train the marketer to train the machine
0:46 A chart showing the range of cost per acquisition
2:56 Can the algorithm outperform the experienced marketer?
3:56 Six observations about machine learning and artificial intelligence in marketing and digital advertising
4:47 About the MECLABS Super Funnel Research Cohort

#Marketing #Business #MarketingMessages

Este vídeo foi indexado através do Youtube link da fonte
programar com chatgpt ,

[vid_tags] ,

https://www.youtubepp.com/watch?v=PLjVHE0tPbk ,

Marketer which one of these ads will produce the highest conversion rate think about it they’re actually part of a funnel that we tested let’s think about the question in a different way one of these ads was optimized by an experienced marketer one of these was optimized with machine learning

Which version do you think will perform best can machine learning outperform a seasoned marketer let me tell you a story but first let’s consider the challenge we’re facing today the marketer versus the machine there is an important pattern in this line graph study it with me it may be hard to detect

But let’s see it with some numbers what strikes you first the first thing that strikes me is the spread from a cpa of 1600 to a cpa of 83 dollars what are we looking at actually this is four campaigns combined the red line is cost the blue line is

Conversions the time frame is july 26 through august 23rd but this is more than a line graph it is a story and it is a story of the marketer versus the machines as the story unfolds we’re going to discover six essential observations but for now let’s study the data

And so the campaign begins but right at the start there’s no data there’s no tags there’s no conversions the machine has to learn this is why the cost per acquisition is at sixteen hundred the machine doesn’t have enough information yet so we have to spend and as we spend the costs soar but

As we move on the machine begins to learn we see a few conversions but can the algorithm learn from such a small number in truth it’s shocking to see how fast it begins to quote unquote understand and how it does so with such scant data but the outcome is that costs go down

Then we make a sort of intentional mistake we pause the campaign we slightly change the messaging but this corrupts the data set that we’ve already used to train the machine it impacts the cycle now if you look at the second set of spikes in the blue lines can you see a pattern

The machine has to learn again but again conversions follow that same spike so now we see the remarkable power of machine learning but it still doesn’t answer this lectures question can the algorithm outperform the expert marketer well let’s look at the end results let’s just review the bottom line on the left you

See cpa cost per acquisition the machine was able to get cpa down to 53 dollars and seven cents but our best campaign was only able to get it down to 113 dollars and seven cents and the machine drove a combined total of 65 conversions whereas which is 13.

Now i’ve ran 10 000 experiments i have been doing this for more than 20 years and no matter how much we do to get the psychology right if we don’t get the technology right especially as machine learning is beginning to take over this entire space we’re in trouble

It is shocking and it points to the problem and that leads us to six observations here they are in rapid fire one ai or machine learning is real in the advertising space it is now and it is already transforming our industry two there is no way a marketer can

Process or even comprehend the title wave of needed tools three classical marketing and conversion expertise is not enough for our funnels everywhere are going to decline or break i’m not being alarmist this is going to happen until we get our data sets right until we learn how to train the funnel

As much as we must train the marketer five we must concentrate our energy on the essential skills we need to survive in this new environment six we need to train the marketer to train the machine what are we going to do about this in the light of these great changes what

Can we do as a team how can we stand together mech labs is forming a new super funnel research cohort we’re selecting a special group of people to workshop a next generation machine-tuned superfunnel it’s not just a course we’re learning together but we will learn as we test and build and we are

Limiting the first cohort to 50. becklabs and its partners are underwriting the cost to participate so there is a selection process and to get involved here’s what you need to know one you need a product for which you can create a funnel two you need two hours

Of extra energy per week three you need a few tools most are free for a willingness to collaborate and work with others five you need to have a deep desire to grow and learn from a standpoint of budget you just need what you need for your little ads or tools

300 to 600 a month mech labs is charging nothing to do this as we try to help you we hope that we can somehow make this work financially for everyone but we need to research and test together and you can join this and you don’t need to give us a dime if

You’d like to learn more just email me i don’t want to send you to a special processor carter landing page reach out to me i’ll send you back a real note and if we can get you in if you can qualify you could come and be a

Part of this new way to think about our funnels in light of machine learning thank you for your trust let’s help each other let’s stand together you

,00:05 [Music]
00:10 marketer which one of these ads will
00:11 produce the highest conversion rate
00:14 think about it
00:15 they’re actually part of a funnel that
00:17 we tested let’s think about the question
00:19 in a different way
00:20 one of these ads was optimized by an
00:22 experienced marketer one of these was
00:25 optimized with machine learning
00:27 which version do you think will perform
00:30 best
00:30 can machine learning outperform a
00:33 seasoned marketer
00:35 let me tell you a story
00:36 but first
00:38 let’s consider the challenge we’re
00:39 facing today
00:45 the marketer versus the machine
00:48 there is an important pattern
00:51 in this line graph study it with me it
00:52 may be hard to detect
00:54 but let’s see it with some numbers
00:57 what strikes you first the first thing
00:59 that strikes me is the spread
01:01 from a cpa of 1600 to a cpa of 83
01:06 dollars
01:08 what are we looking at
01:10 actually this is four campaigns combined
01:12 the red line is cost the blue line is
01:14 conversions the time frame is july 26
01:18 through august 23rd but this is more
01:20 than a line graph it is a story
01:23 and it is a story of the marketer versus
01:25 the machines
01:27 as the story unfolds we’re going to
01:28 discover six essential observations but
01:31 for now let’s study the data
01:35 and so the campaign begins
01:37 but right at the start there’s no data
01:39 there’s no tags there’s no conversions
01:41 the machine has to learn this is why the
01:44 cost per acquisition is at sixteen
01:46 hundred
01:47 the machine doesn’t have enough
01:49 information yet so we have to spend
01:52 and as we spend the costs soar
01:55 but
01:56 as we move on the machine begins to
01:58 learn
01:59 we see a few conversions
02:01 but can the algorithm learn from
02:04 such a small number
02:06 in truth it’s shocking to see how fast
02:09 it begins to quote unquote understand
02:12 and how it does so with such scant data
02:16 but
02:18 the outcome is that costs go down
02:21 then
02:22 we make a sort of intentional mistake we
02:24 pause the campaign
02:26 we slightly change the messaging but
02:28 this corrupts the data set that we’ve
02:30 already used to train the machine it
02:33 impacts the cycle
02:35 now if you look at the second set of
02:38 spikes in the blue lines can you see a
02:40 pattern
02:42 the machine has to learn again but again
02:44 conversions follow that same spike
02:48 so now we see the remarkable power of
02:51 machine learning
02:52 but it still doesn’t answer
02:54 this
02:55 lectures question
02:57 can the algorithm outperform the expert
03:00 marketer
03:01 well
03:02 let’s look at the end results let’s just
03:04 review the bottom line on the left you
03:05 see cpa cost per acquisition
03:08 the machine was able to get cpa down to
03:11 53 dollars and seven cents
03:13 but our best campaign was only able to
03:16 get it down to 113 dollars and seven
03:18 cents
03:20 and the machine drove a combined total
03:22 of 65 conversions
03:25 whereas which is 13.
03:27 now i’ve ran 10 000 experiments
03:31 i have been doing this for more than 20
03:33 years
03:34 and no matter how much we do to get the
03:36 psychology right if we don’t get the
03:39 technology right especially as machine
03:41 learning is beginning to take over this
03:44 entire space
03:45 we’re in trouble
03:47 it is shocking and it points to the
03:49 problem
03:50 and that leads us to six observations
03:53 here they are in rapid fire one
03:56 ai or machine learning is real
03:59 in the advertising space it is now and
04:02 it is already transforming our industry
04:05 two there is no way a marketer can
04:07 process or even comprehend the title
04:10 wave of needed tools three classical
04:13 marketing and conversion expertise is
04:15 not enough for our funnels everywhere
04:18 are going to decline or break
04:20 i’m not being alarmist this is going to
04:22 happen until we get our data sets right
04:24 until we learn how to train the funnel
04:26 as much as we must train the marketer
04:28 five we must concentrate our energy on
04:30 the essential skills we need to survive
04:32 in this new environment six
04:34 we need to train the marketer to train
04:36 the machine
04:38 what are we going to do about this
04:40 in the light of these great changes what
04:43 can we do as a team how can we stand
04:45 together mech labs is forming a new
04:47 super funnel research cohort
04:49 we’re selecting a special group of
04:51 people to workshop a next generation
04:54 machine-tuned superfunnel
04:57 it’s not just a course
04:59 we’re learning together but we will
05:01 learn as we test and build and we are
05:04 limiting the first cohort to 50.
05:07 becklabs and its partners are
05:09 underwriting the cost to participate
05:12 so
05:13 there is a selection process and to get
05:15 involved here’s what you need to know
05:17 one you need a product for which you can
05:18 create a funnel two you need two hours
05:20 of extra energy per week three you need
05:23 a few tools most are free for a
05:25 willingness to collaborate and work with
05:27 others five you need to have a deep
05:29 desire to grow and learn from a
05:31 standpoint of budget you just need what
05:33 you need for your little ads or tools
05:34 300 to 600 a month mech labs is charging
05:37 nothing to do this
05:39 as we try to help you we hope that we
05:41 can somehow make this work financially
05:43 for everyone but we need to research and
05:46 test together and you can join this and
05:48 you don’t need to give us a dime if
05:50 you’d like to learn more just email me i
05:53 don’t want to send you to a special
05:55 processor carter landing page
05:57 reach out to me i’ll send you back a
05:59 real note and if we can get you in if
06:02 you can qualify you could come and be a
06:04 part of this new way to think about our
06:07 funnels in light of machine learning
06:09 thank you for your trust
06:11 let’s help each other let’s stand
06:13 together
06:33 you
, , , #Marketer #Machine #train #marketer #train #machine , [agora]