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[-] CameronDev@programming.dev 73 points 6 months ago

So, advertising the things I have already bought? Not sure thats gonna be super successful...

[-] missphant@lemmy.blahaj.zone 31 points 6 months ago

Amazon has done that for the past 2 decades and it has somehow worked.

[-] elvith@discuss.tchncs.de 44 points 6 months ago

We noticed you bought a fridge yesterday. Are you interested in these fridges, too?

[-] Zedstrian@lemmy.dbzer0.com 7 points 6 months ago

Perhaps more like what fridge companies do via incessant water filter replacement reminders: Enjoying your Super Deluxe CoolPlus™ Fridge? Don't forget to check out the CoolPlus™ Fridge Magnetic Spice Rack and CoolPlus™ Fridge Juice Dispenser Add-on!

[-] jaybone@lemmy.world 0 points 6 months ago

Also enjoy your device randomly breaking every few years.

[-] pdxfed@lemmy.world 2 points 6 months ago

At some point the bigwigs will realize that a working item is worth more in future potential ad dollars than a broken one with a limited 1 year warranty and start asking their engineers why quality is so bad.

/The screams of 1,000 poor souls per second for 50 years

[-] jaybone@lemmy.world 1 points 6 months ago

They did that like 60 years ago. Then they stopped.

[-] ours@lemmy.world 6 points 6 months ago
[-] half@lemy.lol 3 points 6 months ago

pictures someone trying to catch fridges like in some kind of video game

[-] CameronDev@programming.dev 10 points 6 months ago

Has it worked? Its never led to a repeat purchase for me. :/

[-] nossaquesapao@lemmy.eco.br 8 points 6 months ago

Maybe they won't suggest things you already bought, but will estimate what you're going to buy next, based on the statistical analysis of people who bought the same things.

[-] Poayjay@lemmy.world 7 points 6 months ago

Yeah it’s more like, hey you just bought stabilizing jacks and a water hose for a travel trailer. You must have just bought a new camper. Let’s bombard you with add for stick-up-hooks, rv-mattress sized sheets, cheap plastic dishes, etc.

[-] Evotech@lemmy.world 8 points 6 months ago

If only it was smart enough. Make its like oh you bought a newtv, you would like this new surround system

[-] CameronDev@programming.dev 4 points 6 months ago

That would be actually valuable for consumers and advertisers. Shame its impossible.

[-] ours@lemmy.world 7 points 6 months ago

The "people usually both this with this product" suggestions can be pretty good to cover this.

[-] ramirezmike@programming.dev 4 points 6 months ago

with stuff like this, usually the objective is to advertise based on patterns across purchase histories

[-] CameronDev@programming.dev 8 points 6 months ago

I'm sure thats the theory, and whats being sold to the ad buyers, but my money is on it ending up like the ads you get after buying something from amazon/ebay: same item you just bought.

[-] ramirezmike@programming.dev 1 points 6 months ago

you probably just notice that because it doesn't make sense from your perspective.

it's probably more cost efficient for advertisers to just throw relevant ads at potential groups. Determining whether an individual already has the item is a waste of resources, and you probably don't notice when the ads are things you don't own.

[-] CameronDev@programming.dev -1 points 6 months ago

Last time I observed this I was getting the exact same item that I bought being advertised to me constantly, across multiple sites. No variation at all. It was a pair of hiking shoes. If it had then offered me hiking poles or rain coats or anything else that would have been useful, but instead it was the same pair of shoes I had already purchased.

If the ad network had actually suggested useful paired items that i dont already own, then those ads should actually stand out, as they are actually relevant to me.

If its not cost efficient to actually target to the individual (and I dont doubt that it isn't), im not sure what Paypal is bringing to the table here that Amazon etc can't already do.

[-] Aopen@discuss.tchncs.de 3 points 6 months ago

More like using your past purchases to predict what you will most likely be prone to buy next

this post was submitted on 29 May 2024
452 points (98.5% liked)

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