
Consio
The AI phone platform for Shopify merchants.
AI & Machine Learning·E-Commerce·Customer Support
About
Consio is an AI-powered phone platform built specifically for Shopify merchants to turn phone calls and texts into high-converting revenue and support channels. It combines 24/7 inbound AI voice agents with outbound power dialing capabilities, allowing brands to handle inquiries, recover abandoned carts, and upsell VIP customers seamlessly.
The platform integrates natively with Shopify to sync products, customer segments, orders, and tracking information automatically. When a call connects, full customer context surfaces instantly, letting AI agents resolve common requests like returns and FAQs, or smartly escalating to human team members within a unified inbox when needed.
Designed for sales and support teams alike, Consio provides enterprise-level analytics and revenue attribution down to the exact call or SMS checkout link. It helps merchants scale operations without increasing headcount, ensuring fast resolutions and measurable financial impact.
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
Launch NowFounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
People say 'web attribution is broken.' It's better than iOS. Yes it's imperfect — but you can see in hours what took weeks on iOS. For creative testing, for audience testing, for algorithm optimisation — the speed of web feedback has no equivalent on the App Store side.
Web attribution isn't perfect either — but it enables faster feedback loops than iOS ever could
Petit rebuts the attribution-quality objection to web2app: iOS post-ATT attribution is not a high bar. Web attribution (server-side events, first-party cookies, probabilistic matching) is imperfect but delivers purchase signals in hours versus the 14-day SKAdNetwork windows on iOS. For teams running continuous creative and audience experiments, this speed difference is compounding — more learning cycles per unit time means faster improvement.
I'm going to say something radical right now — I think it could be a fit for anyone's business and I think there's something out there that is a good fit for consumable... if you're very early stage and you're a subscription model a year or two in that might not be the right time.
Consumables Can Fit Any Business — Start With Pricing Experiments Before Virtual Currency
Sarah argues consumables — often dismissed as a gaming mechanic — have analogs in almost every app category. The sequencing matters: start with pricing and plan experiments (low complexity), then layer in small consumables (a podcast bundle, a 7-day pass), and only move to virtual currencies at maturity. The trap is jumping to full IAP ecosystems before mastering simpler monetization primitives.
There's a play for whatever you're stuck on.
Read all 2722 playbooks