Fixel

Scale with confidence by using AI-based audiences in your ad campaigns!

Already adopted by leading stores like Watches.com, Athletic Greens, and more!

What is Fixel?

Fixel uses cutting-edge AI technology to score visitors based on their engagement with your website.

Fixel takes into account 60+ data points and turns them into a simple, actionable metric.

• Basic - Targeting visitors who have reached a Basic engagement level filters out unengaged visitors from your campaigns
• Medium - Targeting visitors who reached a Medium engagement level and viewed a product page with dynamic product ads to remarket beyond abandoned cart
• High - Visitors who reached a high engagement level can be used to create granular lookalike audiences

Fixel has helped industry leaders like GaiaStock, and Watches.com go above and beyond their expectations. For more customer success stories, visit our website.

Ways to Work with Fixel:

With the help of Fixel, you’ll be able to vastly increase the volume of your retargeting campaigns, honing in on audience segments reserved for enterprise-level teams. Fixel is easy for any business to implement! It works right out of the box and allows you to focus on what’s really important, which is knowing that your retargeting efforts are working at maximum efficiency.

Remarketing

You can use Facebook Ads or Google Adwords to create dynamic retargeting campaigns aimed at highly engaged users, which we call Fixel High audiences.

Lookalike Audiences

You can use the Fixel High audience, which is of extremely high quality and comparable to cart abandonment, but larger, to create lookalike audience seeds with superior accuracy.

Visit our website for case studies

Learn how leading Shopify stores such as Watches.com, Shinesty, and Blush&Bar used Fixel to boost their remarketing.

Fixel in the Media:

Fixel has been mentioned on Forbes Magazine, VWO, CXL, and PPC Hero. We've also been picked by Outbrain as one of their "7 Hacks for Using Outbrain with Other Performance-Based Marketing Channels".