Most teams can tell you when revenue changes but not why. Traditional analytics stop at surface-level KPIs, leaving you chasing hypotheses, marketing campaigns, or A/B test results that may or may not explain the difference.
That’s why we're excited about our improved Revenue Attribution, a smarter way to analyze performance and uncover the true drivers of revenue changes. Designed for eCommerce leaders, product owners, and performance teams, this release transforms revenue reporting from a post-mortem exercise into the starting point for actionable insight.
Week-to-week swings in conversion rates, order values, or sessions often feel like a black box. Teams waste hours pulling reports, debating whether performance shifts were caused by promotions, page performance, or random fluctuations. Without clarity, the wrong fixes get implemented—or worse, no action is taken at all.
Revenue Attribution is built to answer the most important question in digital commerce: what changed, and why does it matter for revenue?
Key enhancements include:
Instead of finishing your analysis with revenue attribution, teams can now start with it—cutting through noise to focus on the areas that matter most.
One national retailer recently put Revenue Attribution to work. In a single week, their analytics team noticed a sharp drop in average order value and traffic following the end of a promotion. Normally, this would trigger lengthy debates across marketing and IT.
Instead, Revenue Attribution pinpointed the drivers immediately:
These insights helped the team shift focus from “why did sales fall?” to “how do we sustain the stability gains we just unlocked?” That clarity saved hours of analysis and redirected resources to the improvements that matter most for long-term revenue.
With Revenue Attribution, you’re not just tracking numbers. You’re uncovering the "so what" behind them. This shift enables:
The upgraded Revenue Attribution is available now. To learn more: