How Much We Each Spend on Content Marketing

4 Jul 2023 · 8 min

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In short

Podcast Summary: Marketing School - Episode #2502

Episode Title

How Much We Each Spend on Content Marketing

Hosts

Neil Patel & Eric Siu

Overview In this episode, Neil and Eric dive into their monthly expenses related to content marketing, sharing insights on the diverse types of content they produce. They discuss how they leverage AI to optimize their content creation process, reduce costs, and enhance efficiency. This episode aims to provide listeners with actionable strategies to improve their content marketing efforts.

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Key Takeaways

Monthly Content Output

  • Type of Content Produced:
  • Blog articles
  • Podcast episodes
  • Videos
  • Email blasts
  • Webinars
  • Ideal Daily Output:
  • One podcast episode daily
  • At least three long-form videos weekly
  • One short-form video daily for major social platforms
  • 6-7 email blasts weekly (three main segments)

Monthly Expenses

  • Total monthly expenditure for content marketing ranges from $80,000 to $90,000.
  • Breakdown of expenses includes:
  • Podcast production costs (shared)
  • Video editing team
  • Email marketing management (using Beehive)

Use of AI in Content Creation

  • AI tools, including ChatGPT, are leveraged for:
  • Content translation and transcription
  • Reducing content creation costs by about 50-80%
  • Enhancing efficiency and quality of output
  • AI helps in the rapid generation of content, minimizing lag time in the production process.

Webinars as Lead Generation

  • Conduct two webinars monthly, which have proven to be the highest-performing content format.
  • Emphasis on technical topics attracts more qualified leads, leading to higher conversion rates.
  • Specificity in topics leads to:
  • Higher revenue generation
  • Engagement from enterprise-level clients

Advertising Strategies

  • Use of Twitter and Meta ads to increase email sign-ups.
  • Focus on nurturing an existing audience rather than just acquiring new subscribers.

Audience Targeting

  • Efforts to attract the right companies that align with their business model.
  • Acknowledgment that not all potential clients are ideal, emphasizing the need to focus on profitable engagements.

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Tools and Technologies Mentioned

  • Beehive: For email marketing management.
  • Riverside.fm: Podcast hosting.
  • ChatGPT and BARD: For AI-driven content enhancement.

Call to Action

Listeners are encouraged to

  • Rate and review the podcast.
  • Subscribe for more content marketing insights.
  • Engage with the Marketing School YouTube channel for additional resources.

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Conclusion This episode provides valuable insights into the costs and strategies behind effective content marketing, highlighting the importance of leveraging technology and focusing on a targeted audience. Neil and Eric stress the significance of producing high-quality, relevant content to attract and convert the right clients.

For more information, visit [Marketing School](https://www.marketingschool.io).

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Transcript

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0:00content updating like blog refreshes. you and I end up doing podcasting together, which doesn't cost much a few thousand bucks a month. It's our cost on the podcast. And then we also have people that help replicate our text-based content into multiple different languages. We've saved a lot of money due to chat GPT because chat GPT helps translate and transcribe. And then we have a human go in and modify it. But overall on a monthly basis, we spend somewhere between 80 ,000 on the low end, $90 ,000 on a high end per month. And we're producing more than 30 updated blog articles on a monthly basis.

0:38We do at least a podcast episode each and every single day. Technically, we only do a podcast episode each and every single day. We are creating at least three long form videos a week. So that would be 12 plus long form videos in a month. And we're also creating at least one short form video for every single major social platform per day as well. I think we made an episode on talking about the ideal content output we'd want per day. Did we talk about that? We did, right? Does that sound familiar? Yeah, we did. We've talked about that quite a bit. And then the other thing that we do is we send out at least three email blasts per week.

1:17In total, we probably send out six or seven. It depends which segment of the list you're on. So I'll go in reverse here. I believe our expense is around 40 to 50 grand a month or so. So we have someone that's dedicated just to the emails. We use Beehive for that. And he sends three emails a week, a Monday, a Wednesday, and a Friday one. And we're just trying to add as much value as we can. And maybe we layer on some native ads in there just so we're not just trying to sell all the time. So emails one. And then for our video stuff we have a handful of editors that we use for video stuff so for shorts for long form videos we crank out maybe two long form videos per week and then we try to do for it shorts every single day keep in mind this is for leveling up but also for marketing school we do that and then neil and i shared a cost on that we shared a cost on this podcast editing too and we shared a cost on hosting and all that too and the other side of things is we are ai enhancing the other content that we So for example, for this podcast, maybe it's five minutes, but this is enough content for a chat GPT to expand on it.

2:21And then we run it through a duplicate content checker. And that basically brings our cost down. I don't know what it's like for you, Neil, but it brings our cost down anywhere from 50 to 80 % or so. And the rotation, the time to get something done, the, you know, in gaming, there's a thing called latency. Yep. So when you lag too much, your ping is too high. Back when we used to have modems, it was just like, you can't play. It's untenable. Right. But my point of saying that using this analogy is that now the lag time to getting something done, the latency, it's like quick. You don't need to wait anymore.

2:51And so our output's a lot more. The quality is still really high while our costs have gone down. And so we're doing the same thing as well. And we basically use a combination of Riverside.fm, which is our hosting for the podcast. Take the AI transcription, run it through a chat GPT or a BARD. And then we run it through a duplicate content checker. And then we use a human to enhance the last mile. and that's what it is. But it's kind of the same stack. There's a lot of video stuff. There's a lot of audio stuff. We're still attacking blog, and now our blog's actually reviving finally because of this AI-enhanced stuff, and it's outperforming pure human writers.

3:26And the other form of content I forgot that we produce on a monthly basis as well as we do two webinars a month, which, funny enough, I didn't mention it earlier. I don't know why, but it's actually our highest-performing content by far. And it's original webinar, original webinars. So our team will come up with topics. I look at the deck the day before, sometimes actually 30 minutes before the webinar. And I go over the slides that they assign me and I talk. I know most of the content like the back of my hand. The big thing that we found out from our webinar content, the more technical we get.

3:57So more specific, which typically means less attendees. Funny enough, the more revenue we tend to generate. Yeah. Cause you know why? It's like, oh, you know, it's like, oh my God, he sounds so smart. We need to do everything he's talking about. It's not so smart. It's more so what we've seen from our leads is when we do generic type of webinars that are on all topics, like how to start with SEO or even how to grow your SEO in 2023 or 2024, whatever it may be, you just get a lot of people attend. But when we do very specific webinars, like the last one I ended up doing, and I did it here a few days ago was on data privacy and how it affects your marketing and how you need to adapt.

4:38We've got a lot of enterprise leads from that because it's very specific to our ideal customer. And the more specific we get to our ideal customer, the more likely we found to not just generate leads, but for that lead to convert into a customer because we're educating them on problems that they're already facing. And there's like, well, we learned from you guys, so let's just become a customer. And there's not a ton of people that are writing content on this stuff because it's not sexy, but those are some of the problems that corporations are facing. Well, speak for yourself. They think I'm smart.

5:08I'm just kidding. So you are smart. So thank you, Neil. But let me ask you this. When you do the webinars, you're promoting it to your, you have a lot of people that a let's establish that you get a lot of new people that come through your list every day. Right. But you're promoting it primarily to your list. You're not using paid ads. No. Yeah. Our list on a bad day. Maybe we get six, 7 ,000 new opt-ins, maybe 5 ,000 on a really bad day. This is mostly organic. No, no, it's all organic. 10 ,000 new subscribers on a good day. There you go. So for us, because we can't get, We don't have that much volume from an organic standpoint.

5:39We are running ads on Twitter and meta to drive more email signups. That is the way to do it. It's hard nowadays to say you don't have an audience because I think the way is a newsletter. That's my opinion. Yeah. And we spend majority of our time with our content creation, not trying to attract new people, but to farm, right? Because we have a massive audience. What we need to do is farm and pick out the right people. we love everyone who follows us, but it's more so we need to focus our energy on the right type of people that we know would convert into a customer. And it's not really the right type of people.

6:13It's the right type of companies, because for us, it's hard to do what we do. If someone was paying us 300 bucks a month, I would love to help people who can only pay$300 a month. I would just lose a ton of money. I just can't do it profitably. So we have to focus on the clients that we know that can pay us the money and we can do it in a profitable manner. Yep. All right. So that is it for today. Hope you enjoyed this one. Please don't forget to rate, review, subscribe, five stars, please. And we'll see you tomorrow. Thank you very much.

From the publisher
In episode #2502, we fill you in on our monthly content marketing expenses. Our diverse range of content includes blog articles, podcast episodes, videos, email blasts, and webinars. Discover how we leverage the power of AI to enhance our content, reduce costs, and improve efficiency, and what tools we use for our email marketing campaigns. Tune in for insight into how we attract and nurture the right audience, and subscribe to level up your content game! TIME-STAMPED SHOW NOTES: [00:00] Today’s topic: How Much We Each Spend on Content Marketing. [00:33] The quantity and type of content we create each month. [00:54] Our ideal daily output. [01:28] What we use for email marketing management. [01:45] The size of our video editing team. [01:58] Our shared costs for the Marketing School podcast. [02:09] How we use AI to enhance our content, reduce costs, and improve efficiency. [03:27] How we use webinars to attract targeted leads and generate revenue. [05:34] Why we’re running Twitter and Meta ads to drive more email signups. [06:32] That’s it for today! Don’t forget to rate, review, and subscribe! Go to https://www.marketingschool.io to learn more! Links Mentioned in Today’s Episode: Don’t forget to help us grow by subscribing and liking on YouTube! ChatGPT Beehiiv Riverside Leave Some Feedback: What should we talk about next? Please let us know in the comments below Did you enjoy this episode? If so, please leave a short review. Connect with Us:  Single Grain << Eric’s ad agency NP Digital << Neil’s ad agency Twitter @neilpatel  Twitter @ericosiu Learn more about your ad choices. Visit megaphone.fm/adchoices See omnystudio.com/listener for privacy information.

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