How to avoid MLM scams online

Fast money, huge potential. Too good to be true?

Avoiding a scam

Everyone has at least one friend from high school trying to sell them something. Whether it’s doTerra’s essential oils or LuLaRoe’s yoga pants, you’ve probably seen multiple ads from friends and family on social media.

Some may even have asked you if you’re interested in becoming a consultant for one of these companies and selling their products yourself. Before getting involved in these companies, however, you should learn a little bit more about them. Specifically, you should learn more about their business model as an MLM and what to do if someone wants you to be a consultant for them.

So what is MLM exactly?

Lularoe

MLM stands for multi-level marketing. It’s basically a pyramid scheme disguised as an entrepreneurial opportunity. A pyramid scheme is an illegal investment model that recruits members via a promise of payments for enrolling others into the scheme.

It may seem at first glance that MLMs are just companies that hire independent consultants to sell their products. While that is true, they are so much more than that.

The real money in an MLM comes from recruiting people under you as new consultants since you get a profit from their buy-in fees and performance. Most MLMs require you to buy a large stock of product before you can become an actual consultant for them. Many of the most successful MLM consultants barely sell any of the product. Instead, they focus on spreading their network of consultants so they can rake in money without risking any more of their own.

Spotting an MLM

pyramid scheme

MLMs are usually easy to spot for two reasons.

First, since everyone is looking to recruit people under them, they are often overhyped on social media.

Second, MLMs are a type of direct-selling where you can only buy products from consultants, instead of being able to get them on the web or in a retail store.

The only difference between the two main types of direct selling (multi-level marketing and single-level marketing), is that MLMs pay you for commission and recruitment. SLMs (single-level marketing) pay you a commission. This may seem like MLMs are better, but recruitment is far harder to get than commission, and MLMs incentivize recruitment much more.

Product Quality

Woman checking quality

While there are some MLMs that are decent quality (Tupperware is a good example of this), many MLMs are known to be deceptive in their product quality. LuLaRoe had to change their products after a class action lawsuit was filed due to the defective quality of their material. Essential oils are a common MLM product that faces frequent scrutiny. There are very few studies conducted on whether essential oils actually work or not. The authenticity of these products is often called into question because of it.

As a potential customer or consultant, it’s important for you to research an MLM before getting involved with their product.

Should you join?

Questioning a choice

No matter how good the product or the community a multi-level marketing company has, it is an incredibly risky business. In fact, it is often less risky to create your own business than to join an MLM. Creating your own business lets you decide the quality of your products, and can even be cheaper than the buy-in price that it costs to join an MLM. It costs between $5,000 and $6,000 to join LuLaRoe. Nearly all of that money goes toward buying your start-up inventory. 

That being said MLMs give you the luxury of having a “reputable” name and an easy source for your products. That’s part of how they reel you into becoming a consultant. These perks make MLMs seem easy. However, you need to feel comfortable putting other people below you in debt. Even then, it is an incredibly high-risk venture. There are already so many consultants for each brand, and most people know that these companies are scams.

If you are going to try a direct-selling company, you should make sure they follow an SLM plan. These businesses are still risky to get involved in, but it is far easier for consultants to make a profit than MLM plans. Even then, we recommend you look into starting your own business if you’re looking for entrepreneurial experience since it’s far less risky.

The state of AI in advertising

AI is changing the ads you see. Is that a good thing?

AI 700

Don Draper should be worried. As AI becomes more sophisticated, companies are letting computers try their hands at advertising. Lexus, for example, turned to AI to create a script for a commercial. How’d it do? Judge for yourself.

Sure, it was a stunt, but it did reveal that artificial intelligence is a viable technology for advertisers. Marketing and advertising have changed a lot in the past decade or so. The main shift has been in the sheer volume of data that advertisers now have at their fingertips.

We’re now entering a phase where advertisers have better, faster ways to process that data, and put it to work.

Here’s a little more about where we’re at in 2019 — and some thoughts about where we might be in the near term.

Data analysis and algorithmic action

In most cases, data comes from several sources and is kept in silos. Marketers benefit from accessing all data from one location. This allows them to connect the dots and understand the customer experience from all possible angles.

Many companies are now using a form of AI called Natural Language Processing (NLP) to read and understand human language. The most common example is digital assistants like Siri and Alexa — who deliver intelligent responses to human questions.

From an advertising point of view, NLP may be applied to identify customer sentiment on social media or identify which parts of an email campaign were most likely to generate a response. This allows marketers to quickly ID what works and what doesn’t — without having to tag specific actions or feedback manually.

Algorithms are the core of our favorite apps — they help Netflix recommend movies, give Amazon clues to items we might like, and determine the quality of news that shows up in our Facebook feeds.

But advertisers don’t always openly share information about the algorithms they use to target customers. When customers don’t know why algorithms make a decision, there’s a lack of transparency at play because they don’t know what data that algorithm collects or how the platform works.

How AI is changing Google Ads

Last April, Google announced that they would start offering ad suggestions on their ads recommendation page.

The announcement received little attention, but the update actually is a big deal. Google now uses AI to create text-based ads for advertisers, and these ads will automatically go live after 14 days of inactivity.

You can choose to opt out of this feature. Google frames this auto-drafting feature as a way to make advertising easier. Still, this means advertisers lose control over campaigns unless they make sure to take the extra step and opt out.

On the flip side, AI may be able to make smarter decisions about word choice, helping advertisers generate more leads and rack up revenue. It’ll be interesting to see the statistics (man vs. machine) after this practice has been in the mainstream for a while.

Whether we admit it or not, personalized recommendations are manipulating us. The consulting firm McKinsey & Company estimates that algorithms determine 35% of Amazon purchases and 75% of Netflix choices. Research has shown that algorithms can negatively affect us.  They may promote complacency, perpetuate bias, and offer differential pricing based on a variety of unknown factors.

More marketers will experiment with AI

advertising future

This year and beyond, marketers are likely to start experimenting more with AI and automation. The influx in data means more opportunities to tailor advertisements to individual customers.

Adding AI to advertisers’ toolkits means that they’ll be able to create new revenue opportunities by allowing consumers to choose how they interact with a brand.

The main benefit for this group is that they’re entering this new era of data application. The past several years, marketers have had to be smart about which metrics they analyze. Failure to do so meant sifting through a massive dataset from all of these disparate locations, manually, which includes pulling Google Analytics reports, reviewing social media statistics, and setting up alerts to stay on top of brand mentions.

AI promises to free marketers from this information overload and help them identify big-picture action items that allow them to improve customer relations.

Consumers should be aware of the changing landscape, too

Consumers need to learn more about the techniques used to market to them — and they should have the ability to decide whether they want to participate in those campaigns.

Initiatives like Europe’s GDPR are a step in the right direction, requiring companies to explain, in simple terms, why they need to share their data and how that data will be used and stored.

Customers should have a clear understanding of what they give up when they share their data and what they stand to receive in return. Advertisers have long benefitted from gaining an understanding of human behavior. But the fact that they have access to location-based data, transactional data, and search habits along with powerful algorithms arguably puts marketers at a considerable advantage.

With that in mind, we’ll need to think more carefully about the ethical implications. Consumers may be used to all this tracking and targeting, but that doesn’t make it okay.