Get a single source of truth : All your important metrics in one unified dashboard: revenue, customers, CPA, ROAS (return on ad spend), LTV by marketing channel and more.
View the path to purchase : Understand how different channels influence each other and which series of your marketing touch points is most effective.
Simple setup : Rockerbox automatically tracks anytime a customer lands on your site, views a product, adds to cart or makes a purchase.
Marketing attribution that scales with you, from launch to IPO.
Join leading brands like Tula, Rad Power Bikes, Rhone and FIGS using Rockerbox to grow their businesses on Shopify!
With Rockerbox's attribution platform, you can:
Correctly allocate credit across your marketing activities: Our machine learning multi-touch models use your data to accurately determine the value of each marketing interaction. You can compare these to all base attribution models (first-touch, last-touch, even-wight, etc).
Get a single source of truth: Know your true conversion counts, CPAs, ROAS (return on ad spend) and LTV across all your marketing. We ingest data from both your online and offline channels. Use post purchase survey responses from apps like Enquire to enrich your customer data.
Understand how channels influence each other: Uncover the entire path to conversion on a per user level. This works cross-device and across multiple conversion events.
Get started quickly and easily: Rockerbox automatically pulls in information about your Shopify orders and customers. Need to integrate an additional data source or want a custom attribution model? Our dedicated customer success team is here to help!
Seamless workflow: use directly in Shopify admin
Speed tested: no impact to your online store
About the Author
Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.
Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.
Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.
Visit his website at [ Web Linkedin ] or contact him at email@example.com.