WEBVTT - The Fake Reviews and Counterfeits That Amazon's Trying to Quash

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<v Speaker 1>It's that time of year again, Mistletoe, Santa Claus being

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<v Speaker 1>crosby on heavy rotation in the soaper household and the

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<v Speaker 1>holiday shopping season. And with every year that goes by,

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<v Speaker 1>it becomes more and more likely that you'll be spending

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<v Speaker 1>more of your hard earned dollars on a little site

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<v Speaker 1>called Amazon dot com. Yes, Alexa has been playing a

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<v Speaker 1>lot of being crosby in our household. And if you're

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<v Speaker 1>a vendor who sells on Amazon, this is an all

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<v Speaker 1>important time of year for your business. You're hoping for

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<v Speaker 1>a rush of Christmas sales and you'll be doing everything

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<v Speaker 1>you can to make sure that customers browsing on Amazon

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<v Speaker 1>can find your goods. And occasionally people go to really

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<v Speaker 1>really extreme lengths to try to get that edge over

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<v Speaker 1>all the other vendors competing for business. That's what our

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<v Speaker 1>story is about today, the rough and tumble vendor on

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<v Speaker 1>vendor hand to hand click to click combat going on

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<v Speaker 1>behind the scenes at Amazon Marketplace. Yeah, things like pumping

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<v Speaker 1>your customer reviews with five star ray eetings is a

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<v Speaker 1>way to game the algorithm and appear higher in the

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<v Speaker 1>list of search results when customers are looking for a

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<v Speaker 1>given product and counterfeiting popular items. That's something else that

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<v Speaker 1>happens all the time. We'll tell you about Amazon's never

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<v Speaker 1>ending quest to shut down this activity. It's like an

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<v Speaker 1>epic game of whack a mole, where just as Amazon

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<v Speaker 1>manages to crack down on one kind of bad behavior,

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<v Speaker 1>another practice springs up in its place. But first, let's

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<v Speaker 1>explain what exactly is Amazon Marketplace. Yeah, the name might

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<v Speaker 1>not sound familiar, but if you shopped on Amazon, chances

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<v Speaker 1>are you've already browsed products being sold on the marketplace.

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<v Speaker 1>Amazon operates like a traditional retailer such as Walmart or Target.

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<v Speaker 1>They buy things in bulk at wholesale prices and resell

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<v Speaker 1>them to shoppers. But it also operates like a consignment shop.

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<v Speaker 1>It lets more than two million merchants post their own

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<v Speaker 1>things on its site and give Amazon a cut of

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<v Speaker 1>each sale. That's the marketplace and is a major part

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<v Speaker 1>of Amazon's business. By letting third party merchants sell goods

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<v Speaker 1>on its marketplace, Amazon has been able to expand that's

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<v Speaker 1>inventory far more quickly than it would have been able

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<v Speaker 1>to if it operated only as a traditional retailer that

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<v Speaker 1>buys stocks and then sells its own merchandise. In an

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<v Speaker 1>annual letter to shareholders, CEO Jeff Bezos said that marketplace

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<v Speaker 1>sales account for nearly half of all units sold on Amazon. Yeah,

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<v Speaker 1>the marketplace is fifteen years old, but because of the

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<v Speaker 1>way all the search results in Amazon are listed, it's

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<v Speaker 1>not always clear which items are being sold by Amazon

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<v Speaker 1>and which are being sold by independent merchants. A lot

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<v Speaker 1>of our listeners probably buy from marketplace every week and

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<v Speaker 1>and may not even know they're doing it right, But

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<v Speaker 1>one of the best ways you can tell that a

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<v Speaker 1>given product is coming from the marketplaces by the customer reviews.

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<v Speaker 1>It's hard to overstate just how important these reviews are

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<v Speaker 1>for vendors, how much lots of great reviews helps them

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<v Speaker 1>boost sales, and how much negative reviews can really sink

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<v Speaker 1>a product. Reviews are the currency of Amazon. That's right.

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<v Speaker 1>Amazon really can't afford for shoppers to stop trusting the

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<v Speaker 1>authenticity of reviews. A recent report from the research from

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<v Speaker 1>feedwisor found that nine of Amazon shoppers wouldn't buy a

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<v Speaker 1>product at all if at a fewer than three stars.

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<v Speaker 1>So there's a lot of incentive to try to gain

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<v Speaker 1>the system, especially on Amazon, which drives so much more

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<v Speaker 1>commerce than other sites, and that's where all these underhanded

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<v Speaker 1>tactics really come into play. At stake are the billions

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<v Speaker 1>of dollars people spend on Amazon Marketplace every year, and

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<v Speaker 1>as we do more and more of our shopping on

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<v Speaker 1>the internet, the stakes are really only getting higher. I'm

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<v Speaker 1>Brad Stone and I'm Spencer Soper, and in this week's

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<v Speaker 1>episode of Decryptid, we'll hear from some of the people

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<v Speaker 1>who make Amazon Marketplace work. We'll hear from a vendor,

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<v Speaker 1>someone who has faced threats to his business because of copycats,

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<v Speaker 1>as well as one of Amazon's top reviewers to understand

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<v Speaker 1>just how influential those customer reviews can be. And we'll

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<v Speaker 1>off to the businesses trying to spot and stop customers

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<v Speaker 1>from getting duped by the fake reviews. Let's start by

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<v Speaker 1>taking a trip to South Carolina. Come in, all right,

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<v Speaker 1>so you're ready to talk Amazon reviews totally. It's my

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<v Speaker 1>favorite topic and you don't know what to do with me.

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<v Speaker 1>That's me arriving in Greenville, South Carolina to meet you

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<v Speaker 1>sell A Houseman. Just Sella is a top reviewer for Amazon,

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<v Speaker 1>and she's even written a book about it called Naked

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<v Speaker 1>Truths about getting Product reviews on Amazon dot com. Seven

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<v Speaker 1>insider tips to boost sales. One of the first things

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<v Speaker 1>to Sella explained to me is why these reviews matter

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<v Speaker 1>so much to merchants. A cool side effect of these

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<v Speaker 1>reviews is that sellers can get direct feedback on what

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<v Speaker 1>their customers like and don't like about their products. But

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<v Speaker 1>the real reason is landing a high ranking in Amazon

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<v Speaker 1>search results. Here's Gacella. This is a computer system that

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<v Speaker 1>works purely on algorithms. So the second you go and

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<v Speaker 1>buy any product, the sales ranking of this product is

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<v Speaker 1>going to improve. At the same time. You may designed

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<v Speaker 1>to review this product. Now it gets a review. And

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<v Speaker 1>here's why this is important. If a product has a

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<v Speaker 1>good sales rank and also a lot of reviews, Amazon's

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<v Speaker 1>s c O ranking pushes this product on its own.

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<v Speaker 1>Seeing her in her home in the Greenville suburbs, ge

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<v Speaker 1>Sella comes off like a college professor, passionate about her

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<v Speaker 1>subject matter and eager to share her knowledge. We chatted

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<v Speaker 1>over coffee while her cats lurked nearby, and Gescella told

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<v Speaker 1>me that she first got interested in Amazon reviews as

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<v Speaker 1>a book author because she knew they would be key

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<v Speaker 1>to her success. So she figured the best way to

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<v Speaker 1>learn about them was to begin writing them herself. Being

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<v Speaker 1>a top reviewer on Amazon has to be a pretty

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<v Speaker 1>odd business to be in. Just Selah told you she

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<v Speaker 1>gets two fifty emails a month from sellers hoping she'll

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<v Speaker 1>write a good review of their products. Yeah, she's become

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<v Speaker 1>quite a magnet. And because she gets pitches from so

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<v Speaker 1>many sellers, she also has some insight on the schemes

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<v Speaker 1>they come up with to help boost their ratings. Here's

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<v Speaker 1>one anecdote she had about how she was approached by

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<v Speaker 1>a Chinese seller. They said, hey, we're going to offer

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<v Speaker 1>you a couple you buy this product for ten percent

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<v Speaker 1>of the price, some of them for one percent of

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<v Speaker 1>the price, but you had to buy it was reduced ridiculously,

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<v Speaker 1>and then please review. If they went through the entire

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<v Speaker 1>is killed out top reviewers and they offered these some

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<v Speaker 1>digital device or Christmas lads in this time of the year,

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<v Speaker 1>they'd suddenly have a huge spike in which they sold

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<v Speaker 1>at one percent of the price, which Amazon ignores, sold

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<v Speaker 1>is sold regardless of how much yourself had. A huge

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<v Speaker 1>bag of a hundred and fifty product is coming in

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<v Speaker 1>over three days as a purchase oh, so this is

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<v Speaker 1>a key detail. Even if you buy something at a

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<v Speaker 1>steep discount, Amazon's algorithm does not care exactly. All Amazon

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<v Speaker 1>sees is that you paid for it. It doesn't matter

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<v Speaker 1>how much. Amazon is not a person. That algorithm says,

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<v Speaker 1>oh my god, this book is this product is in demand,

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<v Speaker 1>in demand, in demand, and it shows the same product

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<v Speaker 1>and all kinds of sites as if it were a

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<v Speaker 1>best seller. Other people see this product and they go,

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<v Speaker 1>oh my god, look at that product shoots up and

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<v Speaker 1>regiuss in the best seller category group area of vicinity.

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<v Speaker 1>And now you have the reviews coming in on top

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<v Speaker 1>of it. And that's when everybody else spies. And that's

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<v Speaker 1>why I think that Almason be the way with it,

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<v Speaker 1>because they realized what's happening. Okay, that last point is

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<v Speaker 1>really important. Last month, Amazon changed the rules for customer reviews.

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<v Speaker 1>Now Amazon gets to decide who's allowed to leave what

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<v Speaker 1>they call a quote incentivized review. That's right. Amazon is

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<v Speaker 1>something called the Vine program, and it's Amazon's way of

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<v Speaker 1>deciding which customers can receive promotional products and review them. So,

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<v Speaker 1>if I recall correctly, previously incentivized reviews were allowed, but

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<v Speaker 1>the reviewer had to disclose that they received the product

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<v Speaker 1>at a discount for their review. The problem was the

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<v Speaker 1>disclosures were becoming so prolific on the site, so ubiquitous,

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<v Speaker 1>it was actually tough to find that authentic review from

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<v Speaker 1>someone who just bought the product with no strings attached exactly.

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<v Speaker 1>And some consumers are actually getting frustrated by seeing all

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<v Speaker 1>of these disclosures about getting free products, and that undermine

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<v Speaker 1>this review system. That's so important because for customers sometimes

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<v Speaker 1>the hardest part about buying something online is not being

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<v Speaker 1>able to see it and touch it first. Consumer reviews

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<v Speaker 1>help eliminate that guesswork, but only if they're authentic. And

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<v Speaker 1>we should point out that reviews aren't just important to

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<v Speaker 1>Amazon and their companies like Yelp and trip advisor and

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<v Speaker 1>eBay and open table that rely on customer reviews to

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<v Speaker 1>drive traffic, and they also grapple with complaints about gamesmanship

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<v Speaker 1>and authentic reviews. Yeah, the gamesmanship has been relentless. And

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<v Speaker 1>get this, just weeks after Amazon made those changes, Gessella

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<v Speaker 1>told me sellers are already finding ways around it and

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<v Speaker 1>are trying to keep Amazon in the dark so I

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<v Speaker 1>can approach from a Chinese game up who writes to me,

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<v Speaker 1>please review this product. We will send you a gift card,

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<v Speaker 1>and then we pray that you don't tell. The phrase

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<v Speaker 1>we pray that you don't tell already implies that they

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<v Speaker 1>know they're doing the wrong thing. The same system is

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<v Speaker 1>happening as before. The band that gives me the product,

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<v Speaker 1>the gift card. I I'm buying the product, I'm driving

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<v Speaker 1>up the products rank, and then they want my review

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<v Speaker 1>and basically the same thing happened that before. Now we

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<v Speaker 1>put ourselves into Amazon's position. They probably know them. They

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<v Speaker 1>cannot say we're gonna stop selling gift cards, so that's

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<v Speaker 1>not gonna happen. Obviously they cannot. So what they do

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<v Speaker 1>is they come in break to Active and try to

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<v Speaker 1>find these reviews with the algorithm. And that's the only

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<v Speaker 1>thing that they can do. Now. Jo Selah wasn't the

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<v Speaker 1>only one to notice something fishy happening with Amazon's reviews.

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<v Speaker 1>So I took a trip to Brooklyn, New York. I

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<v Speaker 1>just do what I do. SEE have to do what

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<v Speaker 1>I think I can do what I think. I don't

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<v Speaker 1>know what I do. I just do without change. Before

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<v Speaker 1>we were all buying helps from Amazon around this time

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<v Speaker 1>last year, and we kept not noticing that it would

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<v Speaker 1>come really late, or it would come without Amazon packaging,

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<v Speaker 1>or it comes with stamps from foreign countries that we

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<v Speaker 1>didn't realize it was coming. So it looked really weird

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<v Speaker 1>and suspicious. That's MINGUI Minx companies called fake Spot. It's

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<v Speaker 1>a website that rates the authenticity of Amazon's product ratings

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<v Speaker 1>and reviews. Basically tells customers whether they can trust the ratings.

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<v Speaker 1>So an entire company dedicated to spotting fake ratings and reviews.

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<v Speaker 1>It gives you some sense of just how widespread the

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<v Speaker 1>issue is. If there's a cottage industry developing around online

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<v Speaker 1>customer reviews. Yeah, and the timing of it to fake

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<v Speaker 1>Spot only launched last year, but it's already getting millions

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<v Speaker 1>of users. It works by cutting and pasting the u

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<v Speaker 1>r L for an Amazon product into its search engine. Here,

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<v Speaker 1>let me show it to you. Okay, so you've got these.

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<v Speaker 1>You've got an Omega fish oil up on Amazon dot

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<v Speaker 1>com and it's got three two reviews, mostly positive. It

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<v Speaker 1>looks good. So how can fake spot help us? So here,

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<v Speaker 1>we're gonna cut and paste the u r L for

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<v Speaker 1>this product. Go over to fake spot, which looks like

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<v Speaker 1>your normal search engine. You're you're entering the r L

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<v Speaker 1>into a search bar and you click analyze Wow, an

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<v Speaker 1>F grade of failing grade, just like an F on

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<v Speaker 1>a term fail. The Omega fish oil with three two

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<v Speaker 1>reviews and four and half stars, that those were bogus. Yes,

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<v Speaker 1>So if you just counted on Amazon reviews alone as

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<v Speaker 1>a time strap shopper, you might see those reviews and

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<v Speaker 1>decided to buy the product. But if you take an

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<v Speaker 1>extra step over at fake spot, you might have second thoughts.

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<v Speaker 1>And I picked that Omega three fish oil because Ming

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<v Speaker 1>said that healthcare products and beauty products in particular are

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<v Speaker 1>susceptible to fake reviews. My wife is getting all these

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<v Speaker 1>recommendations from our friends and like usually buy this cream

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<v Speaker 1>or by that oil. And as we started reading and

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<v Speaker 1>poking through the reviews, we realize that we weren't looking

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<v Speaker 1>at reviews with with a more critical eye, and that

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<v Speaker 1>we were just randomly accepting that that five. You know,

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<v Speaker 1>this thing has one or two views and it has

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<v Speaker 1>four stars, it mustn't be good. So we just and

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<v Speaker 1>as you start digging in deeper, as when you realize, oh,

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<v Speaker 1>sometimes people leave a review, it says, oh, I just

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<v Speaker 1>got this product, will update my review, you know, once

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<v Speaker 1>I tried the product, but they will leave it four stars,

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<v Speaker 1>And like, well, you're leaving four stars from a product

0:13:28.160 --> 0:13:30.800
<v Speaker 1>we haven't try it. But I think being in tech,

0:13:31.000 --> 0:13:33.319
<v Speaker 1>you're probably trained to think about They started this in

0:13:33.480 --> 0:13:37.520
<v Speaker 1>every all each of us started to see patterns. For example,

0:13:37.679 --> 0:13:41.920
<v Speaker 1>you would see that everybody used the same language to

0:13:42.000 --> 0:13:45.360
<v Speaker 1>describe the product. So for example and beauty, almost every

0:13:45.400 --> 0:13:47.320
<v Speaker 1>review would say with things like oh my skin was

0:13:47.360 --> 0:13:50.840
<v Speaker 1>so soft and supple, or the reviews would all be

0:13:50.920 --> 0:13:53.320
<v Speaker 1>clustered around the same date and no of a suddenly

0:13:53.400 --> 0:13:57.480
<v Speaker 1>look like twenty people dropped the review on this on

0:13:57.480 --> 0:14:00.120
<v Speaker 1>one same day. It was like and these were like

0:14:00.280 --> 0:14:03.959
<v Speaker 1>to us early early telltale sigence where something is wrong

0:14:04.160 --> 0:14:13.840
<v Speaker 1>or that the reviewers would leave seemingly long uh reviews

0:14:14.000 --> 0:14:16.760
<v Speaker 1>of the product, but it would make no mention specifically

0:14:16.760 --> 0:14:19.120
<v Speaker 1>of what the product was. It would just say I

0:14:19.160 --> 0:14:21.560
<v Speaker 1>loved it, I use it every day, It's fantastic, O

0:14:21.680 --> 0:14:24.680
<v Speaker 1>I reckon highly recommend everybody use it, with like, well,

0:14:24.720 --> 0:14:26.760
<v Speaker 1>that looks like a review that I'll go right for anything.

0:14:27.320 --> 0:14:31.000
<v Speaker 1>So I found two things interesting here. First, both ming

0:14:31.120 --> 0:14:34.320
<v Speaker 1>and gessella feel like these phony reviews are a fairly

0:14:34.320 --> 0:14:37.400
<v Speaker 1>new thing, like in the last year or two. That's interesting.

0:14:37.440 --> 0:14:40.240
<v Speaker 1>I mean, we've had customer reviews on the internet now

0:14:40.280 --> 0:14:43.600
<v Speaker 1>for twenty years. The probably have been fake reviews all along.

0:14:43.720 --> 0:14:46.760
<v Speaker 1>It's just that the stakes are so high and the

0:14:46.880 --> 0:14:49.680
<v Speaker 1>levels of online commerce are so significant now that the

0:14:49.960 --> 0:14:53.160
<v Speaker 1>problem is getting more attention exactly, becoming more prominent and

0:14:53.160 --> 0:14:56.240
<v Speaker 1>and and not getting washed out. The second thing is

0:14:56.360 --> 0:14:59.920
<v Speaker 1>Ming says, this product market for his business exists because

0:15:00.000 --> 0:15:03.400
<v Speaker 1>consumers are conditioned to respond to and trust products with

0:15:03.400 --> 0:15:05.960
<v Speaker 1>a lot of positive reviews. It's probably similar to the

0:15:05.960 --> 0:15:08.720
<v Speaker 1>Pavlovian response that we experience when we see the word

0:15:08.800 --> 0:15:11.760
<v Speaker 1>sale right. We feel like we're getting a good deal,

0:15:11.840 --> 0:15:13.560
<v Speaker 1>even if the price may not be all that great.

0:15:14.440 --> 0:15:17.240
<v Speaker 1>I fall for it all the time. And fake Spot,

0:15:17.280 --> 0:15:19.920
<v Speaker 1>which has created a hundred and fifty million Amazon reviews

0:15:19.960 --> 0:15:22.760
<v Speaker 1>to date, makes money from ad sales, but only enough

0:15:22.760 --> 0:15:25.320
<v Speaker 1>to maintain its web servers. Min said he and his

0:15:25.400 --> 0:15:28.640
<v Speaker 1>partners have some seed money, and they're primarily focused on

0:15:28.680 --> 0:15:31.120
<v Speaker 1>the product right now, and they worry about monetizing the

0:15:31.200 --> 0:15:35.360
<v Speaker 1>concept later. But here's how this search algorithm actually works.

0:15:36.040 --> 0:15:39.120
<v Speaker 1>The engine does two things. When you click for an analysis.

0:15:39.320 --> 0:15:43.280
<v Speaker 1>It goes and logs every review that the product has.

0:15:43.280 --> 0:15:46.520
<v Speaker 1>So let's say the product has five reviews, for example,

0:15:46.800 --> 0:15:49.520
<v Speaker 1>it will look through all five hundred reviews and then

0:15:49.640 --> 0:15:51.400
<v Speaker 1>at the same time, while I was looking for through

0:15:51.520 --> 0:15:56.560
<v Speaker 1>the reviews, it will then also take the profile of

0:15:56.680 --> 0:16:02.160
<v Speaker 1>each reviewer at all their reviews and his into account.

0:16:02.480 --> 0:16:05.280
<v Speaker 1>If you have a lot of unverified purchases, which our

0:16:05.360 --> 0:16:09.400
<v Speaker 1>purchases made outside of Amazon, but you leave the review

0:16:09.440 --> 0:16:12.880
<v Speaker 1>on Amazon, that's a big telltale sign for us. If

0:16:12.920 --> 0:16:16.240
<v Speaker 1>you have the date cluster thing, and so we have

0:16:16.400 --> 0:16:20.160
<v Speaker 1>things that we put in place to to track aggressive marketing.

0:16:20.200 --> 0:16:22.720
<v Speaker 1>So if you have a lot of date clusters, if

0:16:22.720 --> 0:16:25.560
<v Speaker 1>you have a lot of reviewers, then because we go

0:16:25.600 --> 0:16:28.000
<v Speaker 1>through the history. So let's say you have one reviewer

0:16:28.120 --> 0:16:31.440
<v Speaker 1>that posted a product A, and then as we go

0:16:31.520 --> 0:16:33.640
<v Speaker 1>through a check their history, we noticed that they were

0:16:33.720 --> 0:16:37.200
<v Speaker 1>on products see this category product D the other category

0:16:37.240 --> 0:16:40.080
<v Speaker 1>will know that they were a professional reviewer. Part of

0:16:40.080 --> 0:16:41.880
<v Speaker 1>the problem here has to be that there's just so

0:16:41.960 --> 0:16:44.240
<v Speaker 1>much for the merchants to gain as as well as

0:16:44.320 --> 0:16:47.960
<v Speaker 1>the reviewers who probably are enjoying their their freebees. Exactly,

0:16:48.000 --> 0:16:50.200
<v Speaker 1>they go hand in hand. Me and I talked about

0:16:50.240 --> 0:16:52.800
<v Speaker 1>how much the lure of the freebee is driving all

0:16:52.840 --> 0:16:56.160
<v Speaker 1>of this. We checked out the profile of one reviewer

0:16:56.200 --> 0:16:59.040
<v Speaker 1>who was really cleaning up this guy and I won't

0:16:59.080 --> 0:17:03.640
<v Speaker 1>name the name. Look at this review is starting from here.

0:17:05.520 --> 0:17:07.919
<v Speaker 1>Here's another one on the twenty four. Here's not a

0:17:07.920 --> 0:17:09.800
<v Speaker 1>one of the twenty four. Here's a not a one

0:17:09.920 --> 0:17:12.840
<v Speaker 1>twenty four. Here's any one twenty four. Here's another one

0:17:12.840 --> 0:17:17.639
<v Speaker 1>on the twenty four. So they're reviewing Spatula, pizza cutter,

0:17:19.119 --> 0:17:26.080
<v Speaker 1>garden Staples, EO plugs, Essential Oils, and two days two

0:17:26.160 --> 0:17:29.359
<v Speaker 1>days ago, drinking straws two more days ago. So you

0:17:29.440 --> 0:17:32.399
<v Speaker 1>look at this and you already can even if I

0:17:32.440 --> 0:17:34.840
<v Speaker 1>don't know who the person is in real life, I

0:17:34.880 --> 0:17:38.160
<v Speaker 1>can make you and I can make it an informed

0:17:38.200 --> 0:17:40.680
<v Speaker 1>judgment that says, who has time to sit down and

0:17:40.680 --> 0:17:46.520
<v Speaker 1>write ten reviews on ten different kinds of products in

0:17:46.560 --> 0:17:49.800
<v Speaker 1>ten different categories, And then two days ago did the

0:17:49.840 --> 0:17:55.359
<v Speaker 1>same thing on a bike pump. Who's got room for

0:17:55.400 --> 0:17:58.119
<v Speaker 1>all this? And they're all five stars? Love it? Love it, guys,

0:17:58.280 --> 0:18:00.320
<v Speaker 1>love it. I don't care if they are real people.

0:18:00.440 --> 0:18:02.520
<v Speaker 1>The engine books at this, and the engine will say

0:18:02.920 --> 0:18:08.920
<v Speaker 1>something is wrong with Ultimately, though, is it ever going

0:18:08.960 --> 0:18:12.040
<v Speaker 1>to be possible to catch all the fake reviews? Is

0:18:12.040 --> 0:18:15.920
<v Speaker 1>fake spots algorithm or is Amazon search engine good enough

0:18:15.960 --> 0:18:20.520
<v Speaker 1>to capture all of them? When you're accompany as big

0:18:20.560 --> 0:18:25.640
<v Speaker 1>as Amazon, maybe it's like steering at large tanker. There's

0:18:25.640 --> 0:18:34.720
<v Speaker 1>only so much you could do. Fake reviews aren't Amazon's

0:18:34.760 --> 0:18:37.600
<v Speaker 1>only problem. The company is also fighting fake products from

0:18:37.720 --> 0:18:40.879
<v Speaker 1>entering the marketplace. And this is one of those persistent

0:18:41.000 --> 0:18:44.080
<v Speaker 1>issues that can be very difficult to really permanently put

0:18:44.119 --> 0:18:47.240
<v Speaker 1>an end to, but a can dent customer trust in Amazon,

0:18:47.480 --> 0:18:49.840
<v Speaker 1>and it's been in the press recently yet it has

0:18:50.480 --> 0:18:53.520
<v Speaker 1>Most notably, Apple filed the lawsuit last month against an

0:18:53.520 --> 0:18:57.159
<v Speaker 1>Amazon merchant that it alleges sold fake Apple products, some

0:18:57.240 --> 0:18:59.880
<v Speaker 1>of them in safe, and Bergen Stocks announced it would

0:19:00.000 --> 0:19:03.879
<v Speaker 1>off selling its footwear and Amazon in Now Amazon is

0:19:03.960 --> 0:19:07.800
<v Speaker 1>upping the anti Earlier this month, Amazon filed to lawsuits

0:19:07.800 --> 0:19:11.600
<v Speaker 1>against its own vendors for allegedly selling counterfeits on its site.

0:19:12.160 --> 0:19:15.160
<v Speaker 1>This problem isn't just unique to Amazon. In China, Ali

0:19:15.200 --> 0:19:18.320
<v Speaker 1>Baba has had a knockoff problem for years. eBay probably

0:19:18.359 --> 0:19:20.160
<v Speaker 1>has just a big of a problem, but it doesn't

0:19:20.160 --> 0:19:23.639
<v Speaker 1>get as much attention, and it's it's it's bad for customers,

0:19:23.640 --> 0:19:26.359
<v Speaker 1>frankly because it hurts the merchants who are trying to

0:19:26.400 --> 0:19:29.800
<v Speaker 1>sell authentic products on sites like Amazon. Yeah. To get

0:19:29.800 --> 0:19:32.560
<v Speaker 1>a better sense of that, I spoke to Brett Rosenswag,

0:19:32.960 --> 0:19:36.880
<v Speaker 1>who sells something called the Urban Shelf on Amazon. It's

0:19:36.880 --> 0:19:40.159
<v Speaker 1>a product he invented himself, a small plastic shelf that

0:19:40.200 --> 0:19:42.560
<v Speaker 1>connects to a bed and you can store your cell

0:19:42.600 --> 0:19:45.439
<v Speaker 1>phone while it keys and other items close at hand

0:19:45.480 --> 0:19:49.560
<v Speaker 1>while sleeping. See, I'll pull it up here. Oh I see,

0:19:49.600 --> 0:19:52.600
<v Speaker 1>so it so Yeah. Well, so they're trying to disrupt

0:19:52.640 --> 0:19:55.600
<v Speaker 1>the lucrative night table industry, I see, by just replacing

0:19:55.600 --> 0:19:58.879
<v Speaker 1>it with this little kind of cafeteria tray thing that

0:19:58.920 --> 0:20:01.080
<v Speaker 1>you'd stick into your bed. Yeah, and I think they're

0:20:01.160 --> 0:20:04.440
<v Speaker 1>they're geared more towards the you know, bachelor or the

0:20:04.880 --> 0:20:07.760
<v Speaker 1>college dorm student, that sort of thing where there might

0:20:07.760 --> 0:20:09.480
<v Speaker 1>not even be room for a night's stance. Okay, So

0:20:09.520 --> 0:20:12.359
<v Speaker 1>how's Brett doing with the Urban Shelf? He says, sales

0:20:12.400 --> 0:20:14.359
<v Speaker 1>of the Urban Shelf tend to spike in the summer

0:20:15.040 --> 0:20:17.600
<v Speaker 1>July and August, when students are getting ready for college,

0:20:17.840 --> 0:20:21.040
<v Speaker 1>and sales were growing, but then he noticed copycat products

0:20:21.040 --> 0:20:24.080
<v Speaker 1>selling on Amazon for much less than his Here's Brett

0:20:24.080 --> 0:20:25.919
<v Speaker 1>telling me about how he decided to buy one of

0:20:25.920 --> 0:20:28.119
<v Speaker 1>these counterfeits to see it for himself. He got it

0:20:28.160 --> 0:20:31.960
<v Speaker 1>shipped to his home. When the package arrived, it actually

0:20:32.040 --> 0:20:37.600
<v Speaker 1>came in a box and the box had our label

0:20:38.720 --> 0:20:41.960
<v Speaker 1>super imposed on the ex chair of the box. So

0:20:42.880 --> 0:20:45.840
<v Speaker 1>they actually gone the distance to construct their own Urban

0:20:45.840 --> 0:20:49.720
<v Speaker 1>Shelf box for the Urban Shelf send it over and

0:20:49.760 --> 0:20:51.399
<v Speaker 1>it was also rand wrapped in nice I mean it

0:20:51.440 --> 0:20:55.560
<v Speaker 1>looked very you know, very professional, aside from few spelling

0:20:55.560 --> 0:20:58.160
<v Speaker 1>mistakes on there. You know, imitation is a sin, serious

0:20:58.200 --> 0:21:00.480
<v Speaker 1>form of flattery. I was a little adder, but at

0:21:00.480 --> 0:21:03.159
<v Speaker 1>the same time I was like, oh, these these rats

0:21:03.240 --> 0:21:07.720
<v Speaker 1>just stole my design. I feel I feel cheated. I feel,

0:21:09.359 --> 0:21:13.439
<v Speaker 1>you know, like someone took my took kind of like

0:21:13.480 --> 0:21:16.440
<v Speaker 1>my baby in and and ran away with it. So now,

0:21:16.480 --> 0:21:19.399
<v Speaker 1>Brett said he checks Amazon every day for the Urban Shelf,

0:21:19.720 --> 0:21:22.040
<v Speaker 1>looking to see who's selling it. He keeps an eye

0:21:22.040 --> 0:21:25.000
<v Speaker 1>out for potential fakes. His biggest worries that the fakes

0:21:25.000 --> 0:21:28.240
<v Speaker 1>are inferior, so customers buying them who confused them with

0:21:28.280 --> 0:21:30.880
<v Speaker 1>the original will be displeased and his product will get

0:21:30.880 --> 0:21:33.160
<v Speaker 1>a bad reputation based on the knockle. Has he had

0:21:33.240 --> 0:21:35.920
<v Speaker 1>any success at all trying to keep these copycats off

0:21:36.119 --> 0:21:38.880
<v Speaker 1>off the web in general or Amazon in particular. Yeah,

0:21:39.080 --> 0:21:42.080
<v Speaker 1>in Amazon particularly, said he spotted counterfeits about five times

0:21:42.080 --> 0:21:44.160
<v Speaker 1>and that Amazon is generally quick to knock them down

0:21:44.200 --> 0:21:46.679
<v Speaker 1>after he reports them. They have an automated system, and

0:21:46.680 --> 0:21:49.080
<v Speaker 1>he said sometimes he's had to go through that system

0:21:49.080 --> 0:21:51.600
<v Speaker 1>and report the fakes multiple times, but generally Amazon is

0:21:51.640 --> 0:21:55.320
<v Speaker 1>quick to act. Well. At first, I was like, you

0:21:55.320 --> 0:21:56.600
<v Speaker 1>know what, this might go away, and me they just

0:21:56.640 --> 0:22:00.159
<v Speaker 1>have a few of them. Then after a month, I

0:22:00.160 --> 0:22:02.000
<v Speaker 1>I still saw that our sales started to dip a

0:22:02.040 --> 0:22:04.800
<v Speaker 1>little bit because people were buying this lower price shell.

0:22:05.440 --> 0:22:09.840
<v Speaker 1>So this got me concerned and we began to figure

0:22:09.880 --> 0:22:12.920
<v Speaker 1>out how to get them off of the listening so

0:22:13.000 --> 0:22:15.800
<v Speaker 1>I had. Eventually I ordered one as a test sample.

0:22:16.280 --> 0:22:18.800
<v Speaker 1>I received it in the mail, I took some pictures,

0:22:19.440 --> 0:22:23.760
<v Speaker 1>I sent it in to Amazon fraud department and ended

0:22:23.800 --> 0:22:27.440
<v Speaker 1>up getting that seller's listing removed. That's the only guaranteed

0:22:27.440 --> 0:22:29.040
<v Speaker 1>way that you can. You can make it happy. You

0:22:29.040 --> 0:22:32.600
<v Speaker 1>can call, you can, you know moan and the emails,

0:22:32.600 --> 0:22:34.800
<v Speaker 1>but they want to see physical evidence of an order,

0:22:34.880 --> 0:22:37.720
<v Speaker 1>which is a test by pictures of the fraudulent shell,

0:22:37.840 --> 0:22:42.719
<v Speaker 1>pictures of the legitimate product, and actual concrete proof so

0:22:42.760 --> 0:22:45.760
<v Speaker 1>that you're they're not just kicking off some seller by

0:22:45.840 --> 0:22:49.960
<v Speaker 1>word of mouth. Given all these headaches of selling on Amazon,

0:22:50.080 --> 0:22:52.560
<v Speaker 1>it's pretty incredible so many merchants stick to the site.

0:22:53.080 --> 0:22:55.520
<v Speaker 1>But it's also not that surprising. I mean, it speaks

0:22:55.520 --> 0:22:58.760
<v Speaker 1>to how huge Amazon's customer bases and how large the

0:22:58.840 --> 0:23:01.120
<v Speaker 1>commerce on the site is, and the fact that there's

0:23:01.160 --> 0:23:03.879
<v Speaker 1>really no other website in the Western world that comes

0:23:03.920 --> 0:23:07.000
<v Speaker 1>close to this kind of traffic. You can say that again,

0:23:07.440 --> 0:23:12.160
<v Speaker 1>Amazon attracts three hundred million shoppers and it's marketplace model.

0:23:12.200 --> 0:23:14.960
<v Speaker 1>That's pretty much anyone who wants to sell something get

0:23:15.000 --> 0:23:17.199
<v Speaker 1>access to that giant pool of people. And it is

0:23:17.200 --> 0:23:20.119
<v Speaker 1>pretty easy for sellers. I mean, it's much less capital intensive,

0:23:20.200 --> 0:23:23.760
<v Speaker 1>time intensive, resource intensive than say opening up a traditional

0:23:23.880 --> 0:23:26.840
<v Speaker 1>brick and mortar store or even launching your own website

0:23:26.880 --> 0:23:29.080
<v Speaker 1>from scratch and then having to go market the site

0:23:29.119 --> 0:23:33.080
<v Speaker 1>yourself on on search engines like Google exactly. And because

0:23:33.160 --> 0:23:35.720
<v Speaker 1>of all that traffic Amazon brings these sellers, the money

0:23:36.000 --> 0:23:37.840
<v Speaker 1>to be made as one of these third party vendors

0:23:37.840 --> 0:23:41.200
<v Speaker 1>can be sizeable. Amazon has said more than seventy thousand

0:23:41.480 --> 0:23:45.960
<v Speaker 1>marketplace entrepreneurs had annual sales exceeding one hundred thousand dollars.

0:23:46.000 --> 0:23:48.440
<v Speaker 1>And there is a whole equosystem of other companies growing

0:23:48.520 --> 0:23:50.920
<v Speaker 1>up around these sellers to support them, to help turn

0:23:50.960 --> 0:23:55.200
<v Speaker 1>their distribution through Amazon into sustainable business. Yeah. In any

0:23:55.240 --> 0:23:58.560
<v Speaker 1>given month, dozens of Amazon merchants can be found sitting

0:23:58.640 --> 0:24:02.120
<v Speaker 1>in hotel conference rooms in Las Vegas, Seattle, and Los

0:24:02.160 --> 0:24:06.359
<v Speaker 1>Angeles swapping ideas and listening to consultants discussed strategies. I

0:24:06.400 --> 0:24:09.760
<v Speaker 1>actually caught up with one such consultant, Eric Heller E

0:24:10.000 --> 0:24:12.960
<v Speaker 1>R I C H E L L E R and

0:24:13.080 --> 0:24:18.560
<v Speaker 1>your title with Marketplace Signition CEO and founder. Eric actually

0:24:18.600 --> 0:24:21.080
<v Speaker 1>used to work at Amazon, so he gives his clients

0:24:21.119 --> 0:24:24.560
<v Speaker 1>tips from the inside. At Amazon, Eric used to manage

0:24:24.600 --> 0:24:28.400
<v Speaker 1>the company's merchant strategies, but now he advises them independently

0:24:28.680 --> 0:24:32.840
<v Speaker 1>through his company called Marketplace Ignition. Even when I got there,

0:24:33.040 --> 0:24:38.479
<v Speaker 1>in that was well known even then, that idea of

0:24:38.520 --> 0:24:42.239
<v Speaker 1>the virtuous cycle at Amazon of adding selection, and by

0:24:42.280 --> 0:24:46.760
<v Speaker 1>adding selection, you add you add traffic because people want that,

0:24:46.920 --> 0:24:49.760
<v Speaker 1>and then you add scale and and you know, add

0:24:49.800 --> 0:24:51.960
<v Speaker 1>nose until you get to the next level, and you

0:24:52.040 --> 0:24:54.679
<v Speaker 1>sort of level up the site and you can lower

0:24:54.760 --> 0:24:57.679
<v Speaker 1>price and that will bring more people and start the

0:24:57.680 --> 0:25:00.800
<v Speaker 1>cycle over again. The marketplace was of the ways Amazon

0:25:00.960 --> 0:25:03.919
<v Speaker 1>was able to grow its product offering so fast. It

0:25:04.040 --> 0:25:07.040
<v Speaker 1>was really clear even early on that people were always

0:25:07.080 --> 0:25:10.360
<v Speaker 1>searching for items that we just couldn't stop fast enough.

0:25:10.760 --> 0:25:12.960
<v Speaker 1>You know, we started with just books, music and books

0:25:13.000 --> 0:25:15.560
<v Speaker 1>and books music video and the books music video DVD.

0:25:16.000 --> 0:25:18.320
<v Speaker 1>And as we started to just add in, you know,

0:25:18.359 --> 0:25:20.560
<v Speaker 1>let's try and consumer like tracks, let's try that. Thinks

0:25:20.840 --> 0:25:23.000
<v Speaker 1>it was amazing what the search terms would tell you

0:25:23.040 --> 0:25:26.400
<v Speaker 1>people still wanted and you couldn't grow that possibly fast enough.

0:25:26.640 --> 0:25:29.680
<v Speaker 1>What's interesting is that, in comparison with the early days

0:25:29.680 --> 0:25:32.359
<v Speaker 1>of the marketplace, he says he's now seeing online merchants

0:25:32.400 --> 0:25:36.400
<v Speaker 1>paying ever more attention to getting good product reviews. So

0:25:36.840 --> 0:25:39.560
<v Speaker 1>here's another person saying that's a new development. Here he

0:25:39.640 --> 0:25:42.960
<v Speaker 1>is again, we've seen a complete shift over the last

0:25:43.920 --> 0:25:46.480
<v Speaker 1>six to eighteen months where brands will come and we'll

0:25:46.520 --> 0:25:49.280
<v Speaker 1>say you've got to help us with Amazon and say, oh, okay,

0:25:49.680 --> 0:25:51.960
<v Speaker 1>are you having distribution challenges there? And they'd say, no,

0:25:52.359 --> 0:25:53.920
<v Speaker 1>you know, we're being until we need to be more

0:25:53.960 --> 0:25:57.720
<v Speaker 1>involved with Amazon because products have bad reviews. So there's

0:25:57.720 --> 0:26:00.440
<v Speaker 1>a stat that Amazon talks a lot about. You've seen,

0:26:00.480 --> 0:26:03.080
<v Speaker 1>and it's been around, probably in some form or fashion.

0:26:03.119 --> 0:26:06.439
<v Speaker 1>I can remember um since since I was there, but

0:26:06.480 --> 0:26:09.280
<v Speaker 1>I have seen it recently to that a dollar on

0:26:09.400 --> 0:26:13.040
<v Speaker 1>Amazon Translate send us more than seven dollars off Amazon

0:26:13.160 --> 0:26:17.000
<v Speaker 1>in terms of influence sales. But you know, the good

0:26:17.000 --> 0:26:21.080
<v Speaker 1>the good reviews on Amazon help you elsewhere. I also

0:26:21.119 --> 0:26:24.160
<v Speaker 1>asked Eric about preventing fake reviews, something we already heard

0:26:24.520 --> 0:26:28.680
<v Speaker 1>Ming and Jocela talking about earlier. Can Amazon ever get

0:26:28.760 --> 0:26:31.760
<v Speaker 1>full control over this? This is always going to be

0:26:31.800 --> 0:26:34.040
<v Speaker 1>bleeding edge and they're gonna be people pushing the edges

0:26:34.080 --> 0:26:36.720
<v Speaker 1>of this system. If you said, do I think that

0:26:36.880 --> 0:26:41.840
<v Speaker 1>at scale this is going to UM, this is going

0:26:41.880 --> 0:26:46.080
<v Speaker 1>to influence UM Amazon to a point where we should

0:26:46.119 --> 0:26:48.440
<v Speaker 1>all be concerned. I think Amazon has tamped down on

0:26:48.480 --> 0:26:50.720
<v Speaker 1>the biggest component, and I think there will be some

0:26:50.800 --> 0:26:53.720
<v Speaker 1>of this happening at the peripheral UM. I do think

0:26:53.720 --> 0:26:55.720
<v Speaker 1>it will be harder for someone to get to scale

0:26:56.000 --> 0:26:58.080
<v Speaker 1>using a system. We're getting a gift card. It's just

0:26:58.080 --> 0:27:01.080
<v Speaker 1>hard to get a thousand great reviews that way, you know,

0:27:01.160 --> 0:27:03.119
<v Speaker 1>I still think, for example, that there's probably gonna be

0:27:03.119 --> 0:27:05.520
<v Speaker 1>review clubs going on. It'll be hard to track. I

0:27:05.560 --> 0:27:07.879
<v Speaker 1>think what you're talking about with gift cards still going

0:27:07.920 --> 0:27:10.439
<v Speaker 1>to be hard to track. And I think further the

0:27:10.520 --> 0:27:12.800
<v Speaker 1>idea that you won't be able to really advertise that

0:27:12.840 --> 0:27:17.080
<v Speaker 1>you're doing that without risking getting a lawsuit from Amazon.

0:27:17.160 --> 0:27:19.399
<v Speaker 1>I think we'll will help tamp down some of it

0:27:19.440 --> 0:27:21.399
<v Speaker 1>as well, but I think it will probably continue to

0:27:21.440 --> 0:27:23.120
<v Speaker 1>exist and it will be a cat and mouse game.

0:27:28.760 --> 0:27:31.440
<v Speaker 1>So what do you think, Brad, You're gonna take an

0:27:31.440 --> 0:27:33.800
<v Speaker 1>extra critical look at those reviews this year when you

0:27:33.800 --> 0:27:36.000
<v Speaker 1>shot for the Twins on Amazon? Or do you think

0:27:36.000 --> 0:27:38.000
<v Speaker 1>you'll be cutting and pasting U r L s into

0:27:38.000 --> 0:27:40.480
<v Speaker 1>fake Spot? Well? Fake spot is a great tool, and

0:27:40.520 --> 0:27:42.960
<v Speaker 1>I'm appreciative that you pointed it out to US Spencer,

0:27:43.080 --> 0:27:46.240
<v Speaker 1>but I think it's unlikely that Amazon's hundreds of millions

0:27:46.240 --> 0:27:49.520
<v Speaker 1>of customers will will go to another site to bet reviews.

0:27:49.920 --> 0:27:51.399
<v Speaker 1>I mean, I think you know, one of the reasons

0:27:51.400 --> 0:27:53.919
<v Speaker 1>why people do flock to Amazon is because it's simple,

0:27:54.040 --> 0:27:56.320
<v Speaker 1>it's easy to use it, have their payment info stored,

0:27:56.560 --> 0:27:58.400
<v Speaker 1>it's one stop shopping, and they never have to leave

0:27:58.440 --> 0:28:01.240
<v Speaker 1>their house. So you know, ultimate the Amazon has to

0:28:01.359 --> 0:28:05.240
<v Speaker 1>keep pursuing these bad actors who exploit its platform, and

0:28:05.280 --> 0:28:07.720
<v Speaker 1>we've seen them make some aggressive changes and big changes

0:28:07.760 --> 0:28:09.280
<v Speaker 1>to the platform. But do you think that they're ever

0:28:09.280 --> 0:28:11.720
<v Speaker 1>going to be able to fully contain this problem? Maybe not.

0:28:11.920 --> 0:28:14.919
<v Speaker 1>I mean it's like everything on the internet. You know, spam,

0:28:14.920 --> 0:28:17.400
<v Speaker 1>you know, misinformation. It's a cat and mouse game and

0:28:17.760 --> 0:28:19.480
<v Speaker 1>you know, and this is sad to say, but I

0:28:19.480 --> 0:28:22.680
<v Speaker 1>think that consumers have to get a little smarter about

0:28:22.800 --> 0:28:25.160
<v Speaker 1>online reviews. I mean we can no longer take them

0:28:25.160 --> 0:28:28.640
<v Speaker 1>as genuine expressions from other customers. I mean, they are

0:28:28.680 --> 0:28:32.040
<v Speaker 1>what they are, and some reviews might not be authentic. Uh,

0:28:32.200 --> 0:28:34.879
<v Speaker 1>some might be gamed, and it might be, in effect,

0:28:35.000 --> 0:28:44.280
<v Speaker 1>just another form of marketing. And that's it for this

0:28:44.320 --> 0:28:48.160
<v Speaker 1>week's episode of decryptod. Thanks for listening, and tell us

0:28:48.440 --> 0:28:50.960
<v Speaker 1>have you ever had an experience with fake reviews or

0:28:51.000 --> 0:28:53.800
<v Speaker 1>products on Amazon? You can write to me on Twitter.

0:28:54.080 --> 0:28:57.480
<v Speaker 1>I'm at brad Stone and I'm at Spencer Soper. And

0:28:57.480 --> 0:28:59.360
<v Speaker 1>if you're not a Twitter user, you can also write

0:28:59.360 --> 0:29:02.200
<v Speaker 1>to our producer or Pio or even better, record a

0:29:02.280 --> 0:29:04.680
<v Speaker 1>voice memo and send it to her at p G

0:29:05.000 --> 0:29:08.720
<v Speaker 1>A D K A R. I at Bloomberg dot net.

0:29:08.920 --> 0:29:11.680
<v Speaker 1>If you haven't already subscribed to our show on iTunes

0:29:12.200 --> 0:29:14.920
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0:29:15.400 --> 0:29:19.440
<v Speaker 1>please take a moment to leave us an authentic rating

0:29:19.520 --> 0:29:23.120
<v Speaker 1>and review. It really helps. This episode was produced by

0:29:23.200 --> 0:29:27.640
<v Speaker 1>Pia Gutkari aki Eto, Liz Smith and Magnus Hendrickson, and

0:29:27.680 --> 0:29:31.320
<v Speaker 1>Emily Buso edited Spencer Soper's accompanying print story on the

0:29:31.360 --> 0:29:34.440
<v Speaker 1>Amazon Marketplace, which you can check out at Bloomberg dot com.

0:29:34.520 --> 0:29:38.880
<v Speaker 1>Slash Technology Alec McCabe as head of Bloomberg Podcasts. We'll

0:29:38.880 --> 0:29:39.680
<v Speaker 1>see you next week.