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Purchase Automation between Kit and ThriveCart. Bespoke Kit automation connecting a ThriveCart checkout to a full onboarding sequence. The automation applies customer tags on purchase, routes buyers through conditional logic based on upsell behaviour, and delivers the appropriate welcome and onboarding sequence to each segment. Both paths complete with a tag confirming onboarding status, keeping the subscriber list clean and accurately segmented throughout
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Connect with clients, get discovered, and run your business 100% commission-free
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branding for Elevate, a Shopify A/B testing app
The wordmark works really well for an A/B testing tool. The signal icon embedded in the letterform reads as both a data/analytics reference and something more dynamic than a typical SaaS logo. Seeing it on the conference stage makes a strong case for how it holds up in large-format use.
Purchase Automation between Kit and ThriveCart. Bespoke Kit automation connecting a ThriveCart checkout to a full onboarding sequence. The automation applies customer tags on purchase, routes buyers through conditional logic based on upsell behaviour, and delivers the appropriate welcome and onboarding sequence to each segment. Both paths complete with a tag confirming onboarding status, keeping the subscriber list clean and accurately segmented throughout.
I joined this year's Config Makeathon and decided to build something inspired by a problem I've repeatedly encountered while working in CRM and lifecycle marketing.
CRM platforms are built around flows, campaigns, and automations. Customers are not.
When trying to understand what a customer actually experienced, I often found myself jumping between multiple journeys, templates, campaigns, and reports just to answer a simple question:
What happened, why did it happen, and what happens next?
So I built Trace.
Trace is a lifecycle debugging tool that helps teams:
• Replay customer journeys in a single timeline
• Understand why communications were triggered
• Simulate future customer experiences before launch
• Review every message in one place
• Identify journey conflicts and lifecycle issues before they impact customers
The idea came from real CRM consulting work. To bring it to life, I used ChatGPT to refine the concept, challenge assumptions, and iterate on the product structure, then used Figma Make to rapidly turn those ideas into a working prototype. After several rounds of prompting, testing, and revisions, the concept evolved into the MVP shown here.
The project was designed and prototyped entirely in Figma Make.
Would love to hear your thoughts!
🎥 Try the demo: https://tracedebug.figma.site/dashboard
🧩 Figma Community: https://www.figma.com/community/file/1647280144583934618
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