Qasr Al Awani is a Saudi brand with deep roots in local tradition and a strong focus on delivering quality to its customers. As Snapchat became a key performance channel, the brand's campaigns were limited by incomplete data reaching the platform. First-party events weren't flowing reliably to Snapchat's AI, capping what the algorithm could learn and how precisely it could target. Journify connected Qasr Al Awani's backend to Snapchat through server-side Conversion API delivery, improving event quality and giving the platform the signals it needed to optimize effectively.

The problem

Qasr Al Awani's Snapchat campaigns were generating real customer activity that the platform couldn't fully see. Targeting accuracy was limited, measurement was incomplete, and the Event Quality Score sat at 4.3 out of 10. When the platform's AI learns from degraded signals, it finds the wrong buyers and allocates budget less efficiently.

The issue wasn't the campaign setup. It was the data reaching the platform.

What changed

Journify connected Qasr Al Awani's first-party data to Snapchat's Conversion API through server-side infrastructure. Purchase and conversion events that were previously incomplete now reached Snapchat reliably, enriched with hashed identifiers and formatted to platform specifications.

The impact on signal quality was immediate. Event Quality Score rose from 4.3 to 8.8 out of 10. With richer, more complete data flowing server-side, Snapchat's AI had what it needed to find better-fit customers, improve targeting precision, and measure campaign performance accurately.

The results

With higher-quality signals reaching Snapchat consistently, the platform's algorithm optimized more effectively across Qasr Al Awani's campaigns:

80% increase in attributed purchases 26% increase in attributed ROAS 17% decrease in cost per purchase

What this means for performance teams

Qasr Al Awani didn't change its creative direction or restructure its media spend. It fixed what the platform was receiving. When Snapchat's AI had access to complete, validated signals from the backend, it could allocate budget toward buyers who actually convert.

An Event Quality Score of 4.3 is a signal problem. A score of 8.8 is that problem solved. The performance difference between the two is what the results show.