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Category: Uncategorized

Uncategorized

Can AI-generated Content Be Detected

When you think of AI, the first thing that comes to mind probably isn’t an automated content creator. Yet, as digital marketers well know, this has become a reality in recent times. From auto-generated blog posts to algorithmically created tweets and Instagram posts, AI content creation is becoming more common. Even websites like Reddit now have entire sub-forums dedicated to AI-generated content. And companies like Narrative create a dedicated platform for users to share automated stories with one another – a sort of “robo-TGIF” if you will. This rising trend raises an important question: how can we detect if someone is using AI to generate content? After all, when anyone can generate text documents or even entire books with just a click of a button, how will we know when someone isn’t human?

Detecting Automated Content Generation

The first step in detecting automated content is simply knowing what to look for. In order to do this, we have to understand how automated content generation works. In general, there are two main ways in which automated content can be generated. The first way is through natural language generation. In this process, an algorithm is fed human language which it then uses as a “seed” to create new content with similar stylistic and linguistic properties. This is often used for simple blog posts and similar types of content, where the goal is simply to create large amounts of relatively low-quality but easily digestible content. The second way is through artificial intelligence. In this case, algorithms are fed large amounts of data and used to “train” a program to think and write like a human. This is more commonly used for longer pieces of content like books or academic papers, where the goal is to produce high-quality content that would normally be difficult to produce manually.

AI Detection Strategies

When trying to detect if an article or other piece of content was generated by an AI program, there are a few telltale signs to look for. Typically, if you see that an article has little to no human emotion or other stylistic nuances and seems to have a robotic “flow” to it, it’s a likely candidate for being generated by a computer rather than written by a human. Another common technique is to look at the numbers. Human-written content is more likely to contain certain patterns or numbers – such as numbers that correspond to data points or statistics being discussed in the article. For example, if you see a sentence in an article about the economy that ends with “(data for this is sourced from…”, there’s a good chance that this sentence was generated by an algorithm. This is because such a sentence would be extremely unusual for a human to write naturally but is a common feature of automated content.

The Rise of Generated Content and Why It Matters

While generated content may seem like a harmless novelty, it does have serious implications for the way we consume information online. As mentioned, one of the primary uses of generated content is to create large amounts of content that is relatively low quality but easily digestible. This sort of automated content may be helpful for online publishers looking to scale their business rapidly, but isn’t very useful to readers. Even the best AI programs can’t compete with the creativity and nuance of a human writer. They lack the ability to think outside the box, to create unexpected metaphors and similes, and to weave together a narrative that is both intellectually stimulating and emotionally engaging. More importantly, the rise of this generated content will likely make us more suspicious of information on the web. When we can’t trust that an article or a blog post or even a book review is genuine, it becomes harder to discern what is real and what is false.

Detecting AI Bloggers

When it comes to spotting AI-generated blog posts, the best way to tell is by looking at the numbers. As mentioned, one of the telltale signs of generated content is that it often contains numbers that correspond to data points mentioned in the article. When spotting automated blog posts, then, you can try searching the article for numbers and statistics and see if the numbers seem to be “sourced” from an arbitrary source or if they make any logical sense. If you see that the numbers don’t seem to make any sense or if they appear to have been pulled out of thin air, there’s a good chance that the article was generated by a computer program.

Detecting AI on Twitter

When it comes to detecting AI on Twitter, one of the easiest ways to tell is by examining the profile of the account. If the person or company running the account has a hilariously low number of followers for how long they’ve been tweeting but goes on a posting spree all at once, you should probably raise an eyebrow. If this account suddenly starts posting links to articles with a “source” that links to some random webpage with a bunch of gibberish, you should definitely be suspicious. If you notice that a “person” on Twitter is only retweeting other bots and never human beings, you should definitely be suspicious.

Detecting AI on Instagram

When it comes to detecting AI on Instagram, you can look at a couple of different things. First, you can examine the account’s follower-following ratio. If you see that the account has a ton of followers but only follows a few people (or no one at all), that’s a pretty good sign that the account is automated. Another thing to look for is the account’s posting frequency. AI Instagram accounts tend to post extremely frequently – some even post as much as 10 or 20 times per day. If you notice that an account posts this frequently and doesn’t seem to have any sort of “personality” or followers, there’s a good chance that the account is automated.

Conclusion

As AI technology continues to advance and more people find ways to use it, it will become increasingly important to be able to tell the difference between true human-generated content and the artificially generated kind. Having the ability to spot the signs of automated content will allow us to avoid being fooled by false information and being tricked into believing that a computer program has some sort of insight or creativity it simply doesn’t have. It will also help us to avoid being swindled by unscrupulous online content creators who use AI to generate large amounts of low-quality content in order to scale their business quickly and cheaply.

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Jon November 14, 2021 0 Comments
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Business Case for Amazon FBA Aggregators to Acquire Amazon Affiliate Sites – IRR over 50% Case Study Data

This article looks at the business case for Amazon FBA Brands or Aggregators to acquire Amazon Affiliate Sites in order to…

  1. Grow their brands sales velocity on Amazon
  2. Increase the moat around their brand(s)
  3. Deploy capital into the Amazon ecosystem at an attractive return

I have included both a Google Slide template you can modify and a Google Sheet financial model you can modify for your specific hurdle rates / cost of capital etc. 

TLDR – For someone looking to review the viability of deploying capital to acquire an affiliate site to grow an FBA brand this post should help you present the business case and model the return. If an Amazon FBA brand deployed $1M in acquiring an affiliate site that drove 20% of its sales to the Brand it would result in a IRR of over 50% 

  • Google Slides – Presentation to modify to present this business case
  • Google Sheets – Financial return model to modify

This graph shows the challenge FBA buyers are going to have where a ton of money has entered the space but the total value of FBA businesses sold in 2020 was a fraction of the funds that have been recently raised. 

Where will the money need to go?

This post argues it will in part go into Amazon Affiliate sites…

My personal experience… This is a strategy I have personally executed converting an Amazon Affiliate site to launch and push an Amazon FBA brand which resulted in an incredible return. The results included…

Previous Case Study – Read Here

Some of the assumptions used in the analysis below are from the actual results of this case study. 

In another case I used an Amazon Affiliate site and turned it into an ecommerce Brand resulting in a significant increase in the workload but also a huge increase in earnings.  

Let’s take a deeper dive into the viability of buying affiliate sites to grow ecommerce businesses (specifically FBA businesses) at scale…

Business Case Definition:

We are looking at the business case for an Amazon FBA business to deploy capital and acquire Amazon affiliate sites in order to… 

  1. Grow their brands sales velocity on Amazon
  2. Increase the moat around their brand(s)
  3. Deploy capital into the Amazon ecosystem at an attractive return

Strategic Benefits:

With almost $7B raised and 98% of it in the last 12 months for Amazon FBA aggregators to acquire Amazon FBA businesses and the estimated number of deals done in the previous year being a fraction of that $456 million (<7% of the funds raised!!) These aggregators are faced with several opportunities/challenges…

  1. With $7B raised in the space the competition to acquire good FBA businesses has gotten tight and expected to only get more competitive with multiples increasing.
  2. There is a need to find another location to deploy capital and help accelerate brands growth.
  3. There is a desire to differentiate from other brands/aggregators to demonstrate the ability to grow a brands/deploy capital at attractive returns in order to make the next round of fundraising easier. 
  4. On Amazon the competition remains fierce and the ability to build a moat driving off amazon sales to Amazon to supplement other sales strategies is significant! 
  5. Need to deploy the capital raised at attractive rates of return into the Amazon ecosystem

Financial Benefits:

To analyze the numbers I will walk through the analysis and then provide a link to a Google Sheet where the assumptions can be changed based on your unique situation. 

Affiliate Site:

  • Growth Rate = 5% 
    • For the actively managed site a low target growth rate of 5% per year is modelled. 
  • Acquisition Multiple = 3.5x
    • Based on the current industry numbers an assumed 3.5x multiple to acquire Amazon Affiliate sites is assumed. 
  • Exit Multiple = 3.5x 
    • Assuming no change in the multiple while holding it.
  • Affiliate Site Management Fee = 25% of earnings
    • Whether you use a management service or build an in-house team there will be costs to manage the portfolio. This model assumes the costs will be 25% of the affiliate sites pre-acquisition revenue. 
  • Affiliate Commission on Amazon = 6%
    • Amazon has a history of changing the affiliate commission and it depends on the site but using a 6% average commission should be accurate for the purposes of this model. 
    • Amazon has recently announced the Brand Referral Bonus program which might turn out to have significant savings when a Brand drives its own sales compared to a 3rd party affiliate on Amazon. 
  • % of Product Sales Driven to the target FBA Brands = 20%
    • This is the key to this entire strategy. The 20% is taken from a couple of case studies I have done using this strategy. 

FBA Business:

  • Gross Margin = 25%
    • The gross margin for each marginal unit sold for the target brand is assumed to be 25%. This will be very different for many brands and like all these assumptions can be easily adjusted. 
  • Sales Increase due to Velocity Increase = 10%
    • For every additional unit sold through external traffic what will the increase in organic sales on Amazon be? In this model we assume for every 10 units driven by the affiliate site the increased sales velocity will drive 1 additional organic on Amazon sale. 

Other Assumptions:

  • Cost of Capital = 10%
    • Each business will have their own cost of capital. Used a simple 10% for this model. 
  • Inflation Rate = 3%/year
    • Definitely debatable if you have bought a used car or lumber in the last year but it is still the target and the simplest # to use for this model. 

Example:

Now let’s work through an example given the assumptions above…

Lets say you are an Amazon FBA aggregator and you just bought an Amazon FBA brand selling a line of kids lunch containers (water bottles, lunch boxes, lunch bags etc) which have an average of a 25% gross profit margin. 

You have found an Amazon affiliate site for sale ranking for many of your products making $285,714/year in earnings selling for 3.5x or $1,000,000. You agree to purchase and plan to close Dec 31, 2021. 

Here is a simplified return profile given the assumptions above…

IRR = 52%

NPV = $1.65M

I am not an investment analyst so there could be some errors in my model. However, the assumptions put in here including closing on the last day of year 1 and picking assumptions that are below what the actual results were in case studies has me fairly confident these numbers should be able to hold. 

Non Financial Benefits:

Although this strategy is primarily focused on the financial impact for deploying capital to acquire affiliate sites. For FBA brands there are additional benefits including…

Leverage for Future Product Launches or Brand Acquisitions 

With an aggregator having a portfolio of affiliate sites it gives them the ability to create/update existing content to help push sales to either new products or a newly acquired brand. 

In addition to having sales driven from the pages of the website the additional ability to build an email list and an audience to advertise to by using pixels to retarget on key pages becomes very interesting.

Differentiate vs other Aggregattors 

Investors are looking to deploy capital into the aggregators that are able to multiply their dollars invested. Having another place to deploy capital to increase their FBA brand returns is an advantage when it comes to the competitive landscape of raising money.

Expand the Brands Moat

Finding a product with a defensible moat is a challenge on Amazon. Having the ability to drive sales velocity to your brands products and away from your competitors is one more tool in your toolkit. 

Implementation Approach:

Option 1 – In House Team

For many FBA brand operators/aggregators it will make sense to build out an entire team to source, complete due diligence, close, onboard, maintain and grow affiliate sites.

Finding a successful affiliate site operator to lead the effort will always be a challenge but one many aggregators have had to overcome with their FBA brand management. 

The most challenging portion of the process is likely the ability to acquire the right affiliate site, using advisors like FBACommerce.com can help with this step.  

Option 2 – Outsource

Turnkey portfolio management solutions exist like BrandBuilders. With the amount of capital raised and how quickly it has been raised I am sure there are many of these aggregators looking to add a turnkey amazon affiliate portfolio to their operation. BrandBuilders has unique experience building thousands and managing hundreds of Amazon Affiliate sites. 

If a partial outsourcing solution is required one of the most commonly outsourced tasks is content writing. One service specializing in Amazon Affiliate sites is ContentRefined.com which handles everything from strategy to publishing. 

Service Providers:

Here is a partial list of some of the main service providers that could help an Amazon FBA Brand or Aggregator build up their affiliate site portfolio. 

Brokers:

  • EmpireFlippers.com 
  • Flippa.com – a challenge if not extremely experiences
  • MotionInvest.com – Focuses exclusively on content sites and has the most Amazon Affiliate sites listed. 
  • List of website brokers here & here

Site Management:

  • BrandBuilders.io – Complete Amazon Affiliate Site Management Solution
  • Many other solutions if the purchase price of the site is $500k+ 
  • Ross at FBACommerce.com for a complete solution including sourcing and diligence
  • Guide to Website Operators

Content Creation:

  • ContentRefined.com 
  • UpWork
  • Top 10 Content Writing Services

Other Tools:

  • SiteBuddy.io – Great for reviewing an Amazon Affiliate site to make sure all the links are working and identifying the lowest hanging fruit to improve a site
  • Ahrefs  – Needed for anything related to backlinks 
  • Change over Amazon Affiliate Links – Free Plugin
  • Amazon Link Management – AAWP, AMALinksPro

Additional Reading:

  • Amazon affiliate due diligence
  • Website buying guide
  • How to operate an amazon affiliate site (too detailed to mention here)
    • NichePursuits.com
    • Hekkup
    • AuthorityHacker.com
    • Many others

Summary:

The wave of funds being raised by Amazon FBA Aggregators compared to the amount of businesses available for sale (FBA deals that closed in 2020 equaled ~6% of the capital raised in the last 12 months) will force aggregators to find creative ways to…Deploy capital into the Amazon ecosystem at an attractive return.

The logical place for FBA aggregators to look is at acquiring Amazon Affiliate sites. 

The financial results that a well executed Affiliate Site portfolio will generate for an FBA brand is extremely attractive. 

Based on this financial model FBA brands that deploy capital acquiring an amazon affiliate site will achieve an IRR over 50%! 

If you are an Amazon FBA Brand and are looking to learn more about executing this strategy contact…

  • Ross at FBACommerce.com
  • Kelley at MotionInvest.com
  • Narcis at ContentRefined.com
  • Amel at BrandBuilders.io

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Jon July 23, 2021 0 Comments
Recent Posts
  • Business Case for Amazon FBA Aggregators to Acquire Amazon Affiliate Sites – IRR over 50% Case Study Data
    Business Case for Amazon FBA Aggregators to Acquire Amazon Affiliate Sites – IRR over 50% Case Study Data
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