Burc, the E-Commerce Pricing Guy

Email, @klaviyo. Support, @gorgiasio. Shipping, @ShipBob... Well, Pricing, @PrisyncCom! There are 1329 #pricing-related apps on @Shopify & we're proudly the #1. And knowing what is yet in the making for the coming months/quarters/years, we're still barely scratching the market's surface! 🚀

Hey all - we just requested an app listing URL slug change for our app, where a 301 redirect for the old URL was part of the promise - yet our new URL is now live without the redirect - has anyone had a similar experience? Or can anyone from the team help?

Has anyone ever had any luck with the 15% rev share talks with the @ShopifyDevs team at all?? I pitched some flexible ideas like committing ad $$s instead of direct revenue cut or a few other ideas that may be more direct win-win - but only had generic support responses - it does not feel Shopify to me, and it did not feel great to have this kicking just as we were scaling Prisync %100 Shopify.

@levie I would add sth like “tolerance for error” to this. AI essentially would shine “where the activity is high value, high volume” and the tolerance for error is high.

One of the biggest questions in AI right now, especially in talking with investors, is where it will have the most amount of impact across the enterprise software landscape. It's critical to first start with what AI is good at and why it is so important. AI --at least in its forms for the foreseeable future-- has the ability to provide a reasoning engine for working on information (text, audio, video, or images, etc.) in service of bringing automation to small or large bodies of non-deterministic work. Critically, however, it's useful to separate which areas of software will have the most amount of potential upside from AI, and which areas will AI be mostly just a nice-to-have improvement. When AI is used to automate a small area of work, like we saw in a mad rush right after the launch of ChatGPT (let's say helping a user navigate software via a prompt interface vs. a GUI), we can imagine that this level of automation has a fairly incremental amount of value. Customers likely won't pay extra for this value proposition, and we likely wouldn't see much lift in customer demand for that particular area of service. Conversely, if we could instead automate an entire type of work in a piece of software that otherwise might take hours of high-priced labor to accomplish, we can see this as being fairly valuable. Even better, is if this is the type of work that happens frequently and has no particular upper-limit to the amount of time that could be spent on the activity. As such, we can imagine at least 3 major axes (and there are definitely more) that will determine the vast majority of value that will be generated with AI: 1. What is the level of automation being applied to the work? The smallest area of work would essentially be an autocomplete in a text field or a chatbot, and the largest area of work would be an AI Agent that automates an entire process or does a substantial amount of research and work to return information back to the user. Both ends of this spectrum can certainly be valuable, but largely depending on how the AI is leveraged and what types of ROI you can generate with the automation itself. 2. What is the "cost" of the work that's being automated? Every task in the economy has a different level of cost associated with it, either because the task itself is very time-consuming or because the level of specialization to complete the task is very high, and thus labor tends to be more expensive. Whether it's writing software code, generating text for a blog post, reviewing a contract, or providing synthesis of equity research, each of these tasks are valued differently. Fairly intuitively, the more that AI is applied to otherwise expensive activities and tasks, the more valuable it is. 3. What is the volume or frequency of the work that's being automated? If it's something that is done somewhat infrequently, like changing the settings of an application via a chatbot, then obviously AI is going to offer a limited amount of value. If, instead, the AI is being applied to a process that is executed hundreds or thousands of times a day in an organization, like QA testing software or routing invoices, then the value is much more meaningful. The pinnacle, of course, would be to go after software categories where the activity is high value, high volume, and offers the opportunity for a substantial amount of automation. Conversely, the worst spot to be would be relatively low cost activity, that is infrequent, and just experiencing the AI through a basic chatbot. But there can of course be different optimizations available: for instance, bringing heavy automation to a high volume low cost activity could be just as valuable as bringing a medium amount of automation to a medium volume, high cost activity. What is clear is that while not all AI opportunities will be the same, and we're only in the earliest stages figuring out which ones will bring the greatest amount of upside, the potential is insane.

Thanks @getMESA for this brilliant swag from Editions - made the day. :)

I had 20 or so 1-1 conversations with various @Shopify employees at Editions today and almost every single one of them used this phrase with no exception: “So, how can we help you grow @PrisyncCom further?” Respect! 🙏

@TRPage_dev @vlaurenlee No way!! I posted this an hour earlier than this and somehow missed this AMA!! 🤓

Impromptu AMA with @vlaurenlee and team on Global Catalogs Product showcased today Still some seats over in Masterclass 5

From what I see/hear in the room today, an impromptu Shopify Catalog AMA would be great! @tobi @harleyf @ShopifyDevs

My precious..💎 @ShopifyDevs @PrisyncCom

Looking fwd to chatting with the Merchandising team today and discuss where #pricing & well, @PrisyncCom may sit in that domain within @Shopify @ShopifyDevs. 🤓

Finally, the cherry on the cake of this Shopify week in Toronto: Heading finally to my first Editions event!! See you all @ShopifyDevs in town!!

@BurcTanir @Shopify no ticket swap needed — dev pass holders can float into biz mode sessions too. see you at Editions.dev 👋

@ShopifyDevs @Shopify Awesome - thanks!

I am signed up for the “Dev” track for tomorrow’s @Shopify Editions but would be much happier if I could get the “Biz” access - well, because I am not technically a dev - email help did not work - so trying my chances here @ShopifyDevs..

@saasromm @MathewGramovich @shashankkr9 @stoychev_m2630 Team @PrisyncCom liked this! 👍

@BurcTanir @MathewGramovich @shashankkr9 @stoychev_m2630 Ahahaha 😅 see you too! Thanks for coming! by the way, look what socks I’m sporting today 👀

Great to see so many familiar and new faces at Wasabi Talks yesterday. Thanks to everyone who came to share and ask questions and massive thanks to our speakers and sponsors @MathewGramovich @shashankkr9 @stoychev_m2630 We will be back!

@hcaz32000 @Shopify @ShopifyDevs Fingers crossed then - hope “someone” from @Shopify may confirm that. :)

@BurcTanir @Shopify @ShopifyDevs Someone posted you have access to both track with the tickets.

True story from Toronto - the @Shopify magic continues 👇 I bought a banana from a supermarket in Toronto yesterday. A day later, a marketer from that store signed up for @PrisyncCom free trial. Maybe I should spare some time for shopping today - before Editions kickoff.

@jasonnmyers @heymantle @ShopifyDevs @Shopify @EmiliHorncastle @celispj @l8r_graham @aaron_wadler @erkswerks @bold_commerce @blairbeckwith @joshgosse Loved the advice at the very end of the panel, Jay - left my computer home today for Techtonic & will also do so on Friday. :)

What a night! #Techtonic was packed full of energy! Kudos to @heymantle for putting on a BANGER of a @ShopifyDevs event. No better way to kick off @Shopify Editions 🙌 So thankful to be a part of this special community. @EmiliHorncastle, @celispj , @l8r_graham , @aaron_wadler it was a blast to be up on stage with you all! #shopifyeditions

Great talk today at Techtonic btw. Hope to see you again @celispj!

Team @judgeme & @celispj are definitely setting the “pricing” tone for the Shopify app ecosystem - a recent chat transcript with a merchant today as a proof 👇