Billy Grace
Marketing attribution and measurement that combines multi-touch, first-party tracking and unified modeling for full-funnel insights.
Compare attribution tools around the budget decisions you need to make. Check the data they can connect, the assumptions behind their reports and how clearly they explain differences from the numbers your team already uses.
Marketing attribution and measurement that combines multi-touch, first-party tracking and unified modeling for full-funnel insights.
Marketing attribution and revenue mapping that ties ad touchpoints to closed revenue for marketers and agencies.
Product-level eCommerce attribution and profitability analytics for merchants and agencies.
An attribution platform that joins orders, ad spend and view events to measure conversion credit across channels for e-commerce teams.
Click- and conversion-tracking with server-side event forwarding, reporting and publisher management for paid media teams.
Warehouse-native marketing measurement and server-side conversion delivery for cross-channel attribution.
Server-side Shopify tracking that captures, enriches and forwards conversion events to advertising platforms.
Ecommerce analytics and attribution that brings sales, ad and partner data into a single view for Shopify merchants and DTC brands.
Attribution and conversion measurement for e-commerce teams using multi-touch models and server-side tracking.
Be specific about what you want attribution to help decide: channel budgets, campaign priorities or the role of a customer journey. Agree on the business outcome and reporting window first. That gives you a useful basis for comparing tools instead of choosing the dashboard with the most detailed path diagram.
Check which advertising, shop and CRM sources can be connected, how orders are matched and how refunds or repeat purchases are handled. Ask the vendor to explain missing data and modelling assumptions in plain language. Keep a record of those definitions when comparing results with another platform.
Bring a period your team already understands and trace a few outcomes through the tool. Ask why its allocation differs from your existing reports. Use that explanation to decide what the report can support, and consider a controlled experiment when the question is whether extra spending causes extra business.
Submit your app, script or community. I’ll take a look.