Case Study

SuperSwipe: release drops with millions of entries.

Shopify application development and high-volume release infrastructure, with bot filtering, payment workflows, and Google Ads.

Shopify Apps Release Infrastructure Bot Filtering Payment Workflows Google Ads
superswipe.com
SuperSwipe website
Millions
of release entries handled
Launch days
without a hiccup
Real buyers
bots filtered out

The challenge

Launch-day traffic that breaks normal stores.

High-demand releases attract two things: enormous traffic spikes and armies of bots. A standard Shopify setup melts under both, carts get hoarded, real customers lose, and payment failures pile up at the worst moment. SuperSwipe needed infrastructure built for the drop, not the average Tuesday.

What we built

Infrastructure built for the spike.

Shopify application development

Custom Shopify apps powering the release experience end to end, built inside the platform merchants already run on.

High-volume release infrastructure

Entry queues and inventory controls engineered for millions of release entries without falling over.

Bot filtering

Detection and filtering that keeps automated buyers out so real customers get the product.

Payment workflows

Authorization and capture flows tuned for spike volume, failed-payment recovery included.

Google Ads

Campaigns timed to releases, converting drop hype into qualified traffic.

The results

Drops that sell out clean.

Millions of release entries processed across high-demand drops
Launch days handled without downtime or cart chaos
Bots filtered so inventory goes to real customers
Payment workflows that hold up under spike volume

Methodology

How results were measured.

Entry volume is counted directly by the platform: cumulative release entries processed across all drops.
Launch-day stability is measured by uptime monitoring and error rates during release windows.
Bot filtering effectiveness is measured by the share of flagged entries removed before draws, validated against payment and fulfillment data.

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