How Odass Paris measured 37% more PageView data and 33% lower CAC

Odass Paris wanted a direct comparison between its existing Shopify Conversions API setup and Bily’s Edge Pixel. Instead of replacing the original setup immediately, the team ran both paths through separate Meta pixels and compared the event records.

The test design

Pixel 1 received events through the standard Shopify CAPI connection. Pixel 2 received events through Bily’s Edge Pixel. Because the pixels were separate, the team compared the same event types and time windows inside Meta Events Manager.

37% more PageView data in the matched hour

Between 2 and 3 p.m., the Shopify-connected pixel recorded 609 PageView events. The Bily-connected pixel recorded 834. That is 225 additional PageViews, or 37% more data for the same event and hour.

Standard Shopify CAPI pixel: 609 PageViews between 2 and 3 p.m.

Bily Edge Pixel: 834 PageViews in the matched hour.

More event coverage and stronger match quality

The standard pixel exposed seven event types. The Bily pixel exposed ten, including more actions after Add to Cart. Nine of the ten Bily-connected events had reached Meta’s Great Event Match Quality rating, compared with one event on the standard pixel at the time of the record.

Standard tracking: seven event types.

Bily tracking: ten event types, nine at Great Event Match Quality.

The campaign result after one month

For the media comparison, the source record isolates an acquisition campaign that the team says was not modified during the month. Its customer acquisition cost fell 33% after Bily was introduced.

The prospecting campaign before Bily.

The same prospecting campaign one month later.

What the comparison shows

This case has unusually concrete measurement evidence: two pixels, a matched event window, preserved Events Manager screens, and an unchanged campaign identified for the media comparison. It is still not a randomized experiment, so the record cannot rule out every external influence on CAC.

Creative, offer, audience, auction conditions, and demand can all affect performance. These figures describe Odass Paris’s 2023 account and are not a guarantee of future results.

Next steps

Extend the two-pixel comparison across a longer matched window, verify event deduplication and taxonomy, and reconcile both pixels against paid orders and refunds. Then run one controlled budget step with campaign changes frozen and a predeclared CAC stop condition. That would show whether the signal difference remains useful beyond the original hour and one-month account record.