What metrics should I focus on when evaluating test results?

Data-Driven Decision Making for Cosmetics Brands

Data-driven decision making isn't about having more data - it's about having the right data and reviewing it on a structured cadence. Most e-commerce brands drown in dashboards but still make decisions based on gut feel because they haven't established clear decision frameworks that connect data points to actions.

Decision Framework by Metric

Avoiding Data Analysis Pitfalls

• Use 7-day rolling averages: Single-day data is noisy; daily spikes and dips from traffic variation obscure trends
• Year-over-year comparison for seasonal businesses: Week-over-week comparisons miss seasonal effects; compare to the same period last year
• Separate channel data: Don't let paid traffic mask organic problems - compare conversion rates by traffic source separately
• Establish thresholds in advance: "If CVR drops below 1.8% for 3 consecutive days, we investigate" - pre-committed thresholds prevent paralysis and late action
• Correlate, don't assume causation: A CVR drop at the same time as a new app install is correlation; test with and without the app to confirm

Revenue Attribution Data

Growth Suite's Funnel Report provides store-specific funnel conversion data from product view through purchase, allowing weekly comparison of each step's performance. Product Report breaks down revenue by product with cart behavior data - enabling identification of which products are being added to carts but not converted (indicating checkout friction or pricing issues specific to those products). These reports complement GA4's broader attribution view with conversion-stage-specific detail.