The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
My client was struggling to understand how users were interacting with a part of their checkout flow. I was able to configure professional data collection and conversion tracking across their site and checkout to drill down and find answers to their questions. From insights derived from that data we were able to make informed business decisions to increase conversions.
Checkout flow tracking is where most of the real diagnostic work happens. The gap between what GA4 shows and what's actually costing revenue is usually biggest right there. Curious what patterns you found once the tracking was clean — did the data surface anything the client didn't expect?
Checkout friction diagnosis is underrated — most stores look at the aggregate drop-off number but never isolate which specific step is doing the damage. What did the data end up showing?
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Small preview of my free Framer template for weddings 💒👰🏽♀️
Remix for free (and use as you wish!): https://framer.link/OVLj7Ay
That deep wine band framing the hillside shot gives it such an invitation-card feel. Giving this away for free is really kind. Have you seen what people end up doing with it once they remix, or does it mostly disappear into the wild?
A business owner shared a Shopify website she built with AI assistance and I couldn't resist doing a quick audit.
The site looked fancy, but..
The homepage was slow
No FAQs or reviews on the product page,
Important policy pages were still templates,
The brand contact email was a Gmail etc..
E-commerce is not so forgiving.
It's not just about what looks good. It's about what looks premium, builds trust, and actually helps people buy.
If you knew the cost of a poor website could be thousands of dollars in missed revenue, would investing in a proper one still feel expensive?
Do you also use Lighthouse as an additional audit? I find it helpful for spotting performance, accessibility, and SEO issues, especially on mobile. I’d compare those results with real user performance data and manually test key flows like navigation, add to cart, and checkout, since an automated audit won’t catch everything.
Working on the Lovable challenge and just dropped the initial draft for this dental clinic web app!
Here’s a quick UX decision I made during the wireframing stage: I originally considered a live chatbot, but ended up replacing it with a structured, interactive FAQ-to-booking funnel instead.
Why the pivot?
Conversion Optimization: Patients visiting a dental site usually want instant answers on pricing, insurance, or immediate availability. A streamlined FAQ that leads straight into a clear "Book Now" CTA reduces friction and drives higher conversion rates.
Implementation Speed: Let's be honest, setting up a full conversational chat integration within a tight challenge timeframe isn't practical.
By prioritizing high-intent UI elements like interactive prompt chips ("Routine check-up?", "Can I book this week?"), the user journey stays fast, clear, and focused on booking appointments.
Building this whole design system and prototype using Lovable and Figma. Wish me luck! 🤞
Really inspiring work.