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When it comes to an increasingly competitive ecommerce market tracked through e-commerce analytics, measuring the right performance metrics using Shopify analytics and ecommerce data analytics is the difference between starry profits and mere survival. Shopify has built-in analytics in ecommerce, but the most successful stores don't stop there – they track everything within their businesses from revenue intelligence and marketing performance tracked via marketing attribution to operational excellence using ecommerce performance analytics and ecommerce tracking on their ecommerce platform.
Revenue Intelligence Metrics
1. Multi-Channel Revenue Attribution
- Why it matters: Know your highest revenue-producing channels through marketing attribution and analytics in ecommerce
- How to track: Use accurate UTM and attribution modeling via Google Analytics ecommerce and ga4 guide
- Goal: To assign 100% of revenue to a channel using ecommerce tracking and ecom analytics.
2. AOV by Channel
- Why it matters: Allocate funds to the most valuable channels tracked through ecommerce performance analytics
- Calculation: Gross Revenue / Orders of each source using Shopify analytics
- Reference: Normal 15-25% difference between channels in the commerce landscape
3. Customer Lifetime Value (CLV) on Acquisition Channels
- What it means: Prioritize customer sources to target with acquisition efforts using predictive analytics ecommerce and customer lifetime value analysis
- Calculation: (Average Purchase Value x Purchase Frequency x Customer Lifespan) tracked via ecommerce data analytics
- Goal: Find channels that produce 2-3x CLV through analytics in ecommerce and ecommerce insights
4. Revenue per Visitor (RPV)
- What to watch: You want to measure the store's natural conversion efficiency on your ecommerce website
- Calculation: Sum of All Revenues / Total Visitors using ecommerce tracking
- Benchmark: $1-$5 RPV for different verticals tracked through ecommerce performance analytics
Marketing Performance Metrics
5. ROAS by Channel
- The big picture: Budget to spend across advertising channels including TikTok analytics, social media analytics, and influencer marketing using marketing analytics
- Formula: Ads Revenue ÷ Ad Spend tracked via marketing attribution
- Goal: At least 3:1 ROAS, preferably 4-6:1 measured through ecom analytics
6. CAC by Channel
- Why it matters: Have the right customer acquisition economics tracked through analytics in ecommerce
- Formula: Total Acquisition Cost / New Customer Acquired using ecommerce data analytics
- Target: CAC to CLV should be 1/3 or lower for optimal customer lifetime value
7. Multi-Touch Attribution Analysis
- Why it matters: Know how more customers get to an end, complete customer journey tracked through marketing attribution and customer journey analysis
- Models: First-touch, last-touch and linear attribution using Google Analytics ecommerce and ga4 guide — Each model touches at least one point during the customer journey
- Insight: Find assist channels that allow for conversions using ecommerce tracking and ecommerce insights
8. Email Marketing Performance Integration
- Why it matters: Tie email effectiveness directly to the revenue it's driving through email marketing analytics
- KPIs: RER, segmented CR, lifecycle performance tracked via marketing analytics
- Integration: Integrate Klaviyo/Mailchimp data into the Shopify analytics sale tab using ecommerce performance analytics
Operational Excellence Metrics
9. Inventory Turnover and Stock-out Impact
- Why it matters: Acquire the right inventory to avoid lost sales on your ecommerce platform
- Formula: COGS ÷ Average Value of Inventory using analytics in ecommerce
- Alerts: Alarm when there is small stock level tracked through ecommerce tracking
10. Product Performance Analysis
- Why it matters: Targeting marketing and inventory at top-performing products using ecommerce data analytics and ecommerce insights
- KPI's: Product revenue, profit margins, conversion rate, rates of return tracked via ecommerce performance analytics
- Segmentation: Product category, Price point, Seasonality analyzed through analytics in ecommerce
11. Customer Behavior Flow Analysis
- Why it matters: Increase ecommerce website usability and decrease cart abandonment tracked through customer journey analysis
- Tracking: Page flow, exit points, conversion funnel performance using Google Analytics ecommerce and ecommerce tracking
- Optimization: Behavior-based A/B testing through ecom analytics and predictive analytics ecommerce
12. Cohort Analysis and Retention Rates
- Why it matters: Here's how to increase customer loyalty and predict future revenue using customer retention and customer lifetime value metrics
- Analysis: Cohort retention on monthly basis, repurchase behaviors tracked via ecommerce data analytics
- Goal: >20% retention after the first 12 months measured through analytics in ecommerce
Ready to give advanced Shopify analytics a try?
trivas.analytics for Shopify BrandAnalyticsAI as a comprehensive ecommerce analytics platform and ecommerce software provides complete Shopify analytics automatically reporting all 12 necessary metrics using ecommerce tracking, ecommerce performance analytics, and analytics in ecommerce. Our language learning experts powered by whale ai and predictive analytics ecommerce guarantee the success of every Shopify Store Advanced 219 and beyond, integrating data from triple whale, triplewhaletripple whale, and tripple whale sources!
Begin to trace these metrics today using this powerful ecommerce tool and get your first ecommerce insights in less than 60 seconds through comprehensive ecommerce data analytics, marketing attribution from TikTok analytics, social media analytics, email marketing analytics, and influencer marketing campaigns. Whether you're following a ga4 guide implementation, optimizing customer journey and reducing cart abandonment, or maximizing customer retention and customer lifetime value, trivas provides the ecom analytics and ecommerce tracking needed to drive success across your entire ecommerce platform in the competitive commerce landscape.
