Launching today
Dupely
The trust layer for online shopping
156 followers
The trust layer for online shopping
156 followers
Most shopping tools chase coupons. Dupely tackles trust. Online shopping is full of manipulation: artificial price drops, fake reviews, paid influencers, and sketchy white label sellers reselling the same product at a markup. DupeScore finds identical products for less. Trust This Price flags fake savings using 90 days of price history. Seller badges show you who's actually credible. Now on iOS, Android, and Chrome. Dupely is the trust layer online shopping has been missing.
Hello world! We built Dupely because we kept getting frustrated with duplicate listings on Amazon. There are a million tools out there for resellers to get on the first page but none to help consumers cut through the dupes.
Today, we ship a fully functioning app + extension to help consumers get the best deal from reputable vendors on iOS, Android and Google Play!
As your using Dupely, feel free to tag me with some of your top dupes, feature ideas and if there's anything we can do to make the user experience that much better.
Thank you very much for your support and we look forward to building this into the trust layer for eCommerce!
@jacob_galajda Congratulations! wide reach "Now on iOS, Android, and Chrome"
Genuine question, not a knock: once sellers know a trust score exists, isn't the badge itself just the new thing to optimize around? Feels like the arms race just moves up a level instead of ending.
@logan_pierce2 100% You're right that once a score exists, it becomes a thing to optimize around. But that's actually the point. The badge isn't sold to sellers, it's earned from real buyer feedback: did they ship on time, did the item arrive in the condition advertised, was it packaged well, any damage, and so on. So to "optimize the badge," a seller basically has to ship on time and not lie about their product. That's the behavior we want anyway.
Will sellers eventually try to game it the way people buy fake product reviews today? Of course. "Instead of buying reviews, just buy seller reviews." That's a real future problem we will solve for. One thing that would be really difficult for a seller to game would be the "Is this Item returned frequently" at scale.. This is something that marketplaces track and we can elucidate
The way I think about it: a good trust layer doesn't end the arms race, it raises the cost of cheating and shrinks the payoff. When that next wave shows up, we'll be built to catch it.
@logan_pierce2 Not a knock at all, great Q Logan! I don't think the reseller market will go away but we'll definitely help change the tide for the consumer. We're using signals like # of returns and overall seller rating to help offset that push today. These can be gamified but we'll continue to stay vigilant on the trust signals🫡
Downloaded the iOS app and was surprised how often "fake savings" tags popped up on stuff I'd been eyeing. DupeScore saved me like $12 on a serum that's literally identical to the pricier one.
@naimefidan5e7b That's awesome Naime! Glad we could save you $12, thanks for using Dupely! :D
@naimefidan5e7b You're going to find that this happens more often then you think. We're saving users on average $16 on their carts. Return rates are 5x lower than industry standard
how does the trust this price feature actually pull that 90 day history for smaller or niche brands that dont have a ton of listings tracked yet
@umuto39k Great question Umut! Currently, the data we get from our vendor maintains a decently comprehensive history on all products. There are some gaps in coverage today, but we'd like to develop our data program further to address the smaller/more niche brands that are just getting started. Thanks for using Dupely! :D
How do you actually get the 90 days of price history for every product, do you scrape retailers directly or pull from some third party API?
@baharws54 Great question Bahar, we use APIs from multiple data vendors to get the data quickly. From experimentation, scraping in real-time at volume has a lot of latency issues that make it difficult to support a free user model. Thanks for using Dupely! :D
How does Dupely decide which sellers get the credibility badges, and is there any way for a legit seller to dispute one if it looks off?
@zehracimenb9f8 Great question Zehra, we use a couple of factors like seller rating and product return volume. These are signals Amazon puts out for each seller. Thanks for using Dupely! :D
How does the DupeScore actually verify that two listings are truly identical, since so many white label sellers tweak the title or one tiny spec to dodge comparison tools?
@yeimsurett79dy Great q Yesim! We use a variety of signals on the product listing like the images and description. We're able to tell if the differences are just tiny tweaks or totally distinct. The score we render is a synthesis of those signals. Thanks for using Dupely! :D