Boost Klaviyo performance with Attriubly's First-Party Pixel Data

•  A potential customer visits your store through a Google advertisement
• User signs up via a pop-up offering a 10% discount.
• User leaves your store without making a purchase.
• A few days later, the potential customer returns and adds several products they like to their cart but does not complete the payment.
  
  

You might expect your Klaviyo abandoned cart flow to help recover these users. However, unfortunately, on iOS or other browsers, the Klaviyo cookie may be cleared or blocked by ad blockers (there are over 300 million Safari users in the U.S., which is more than half of the entire U.S. population!). This results in the cart flow's inability to accurately identify these users and trigger abandoned cart flow.

It is estimated that unidentifiable profiles may account for 70% of the total. If we can identify these visitors, we could potentially double the sending volume and possibly double the revenue.

This is why you need Attribuly Conversion Feed. The Attribuly pixel records customer interactions for as long as 360 days. This means more profiles are included in a flow to generate more revenue. 

Before/after comparison

In a recent deployment, we discovered that Attribuly generates 196% addtioinal revenue compared with original flows.

For "added to cart" events, Attribuly sent around 50% more number of unique profiles, compared with the original Klaviyo pixel. 

For "viewed product" events, Attribuly identifies significantly more profiles, approximately 2-3 times more.

The diagram below illustrates the "browse abandonment" flow, which is triggered when a user views a product but does not add it to their cart or make a purchase. The blue area represents the revenue generated by the Klaviyo pixel-triggered flow. We replicated the same flow, changing the trigger to Attribuly server-side events, and ensured that emails were not resent to users who had already received them.

Over a period of 9 weeks, we observed that the additional revenue generated by Attribuly was nearly double that of the blue section!

When observing events added to Profiles in Klaviyo metrics, the performance of Attribuly SS is approximately twice that of the Klaviyo pixel.

Currently, we have found that the most effective flows are:

1. Browse abandonment flow.

2. Cart abandonment flow.

Interested in boosting your Klaviyo flow? 

Sign up or schedule a demo with us.