How to Get This Dashboard
This dashboard is available to shops on the Advanced Plan.
To add it to your account:
Navigate to the Template Library
Search for "Multi Shop Performance"
Click Get Template to add it to your dashboards
Once downloaded, the dashboard will appear in the workspace you selected. Your dashboard will populate with the data from all of the shops you've selected in the nav.
Business Performance Summary
The top row displays your most critical business health metrics across all shops combined.
Metric | What It Tells You | Business Decision |
Net Profit | Your actual bottom line after all costs | Use this to gauge overall business health. A declining trend here should trigger immediate investigation into margins, ad spend, or operational costs. |
Gross Revenue | Total sales before any deductions | Indicates demand and market traction. Compare to Net Profit—if revenue is up but profit is flat, you have a margin problem. |
NC CPA (New Customer CPA) | Cost to acquire each new customer | If NC CPA exceeds your first-order profit, you're losing money on acquisition. Consider raising prices, improving conversion rates, or adjusting ad targeting. |
NC ROAS (New Customer ROAS) | Return on ad spend for new customer acquisition | Values above 1.0 mean you're profitable on first purchase. Below 1.0 means you're relying on repeat purchases to break even—ensure your LTV justifies the investment. |
Orders | Total order volume | Track alongside AOV. If orders drop but revenue stays flat, your AOV is increasing (potentially good). If both drop, investigate traffic or conversion issues. |
Net Margin | Percentage of revenue that becomes profit | The key efficiency metric. Compare across time periods—declining margins often indicate rising costs or excessive discounting. |
AOV (Average Order Value) | Average revenue per order | Low AOV? Consider bundles, upsells, or free shipping thresholds. High AOV with low order count may indicate pricing friction. |
Return Rate | Percentage of orders returned | Rising return rates hurt margins and indicate product quality issues, sizing problems, or misleading product descriptions. |
Sparklines: The small trend lines beneath each metric show directionality over your selected date range. A quick visual scan tells you what's improving and what needs attention.
Key Business Metrics per Shop
This table breaks down performance by individual store, allowing you to identify your strongest and weakest performers.
Key Columns
Column | What to Look For |
Ad Spend | Absolute dollars going into acquisition for each shop |
Net Profit | Bottom-line contribution from each shop |
Net Margin | Efficiency of each shop—which ones convert revenue to profit best? |
Order Revenue | Total revenue generated |
ROAS | Overall return on ad spend (not just new customers) |
Net Sales | Revenue after returns and discounts |
Discounts | How heavily each shop relies on discounting |
Total Sales | Gross sales figure |
NC Revenue | Revenue specifically from new customers |
NC ROAS | Acquisition efficiency—are you profitably acquiring new customers? |
Business Decisions You Can Make
Identify your "hero" shops: Shops with high Net Margin and strong ROAS are your best performers. Consider increasing ad spend here—they've proven they can scale profitably.
Spot underperformers: Shops with low or negative margins may need attention. Ask: Is the product mix wrong? Are shipping costs eating into margins? Is heavy discounting eroding profitability?
Find scaling opportunities: A shop with exceptional ROAS but low ad spend (like a shop showing 100+ ROAS on minimal spend) is a signal to test scaling. Gradually increase budget and monitor if efficiency holds.
Evaluate new customer economics: Compare NC ROAS across shops. Shops with NC ROAS below 1.0 are losing money on first purchases—acceptable only if your customer lifetime value justifies it.
Monitor refund patterns: High refunds on a specific platform may indicate fulfillment issues, product quality problems, or mismatched customer expectations. Compare Gross Revenue to Order Revenue—a large gap signals significant refund or adjustment activity.
Total Sales & MER Chart
This time-series chart shows your daily Total Sales (bar chart) alongside your Marketing Efficiency Ratio (MER) trend line.
MER (Marketing Efficiency Ratio) = Total Revenue ÷ Total Ad Spend
Unlike ROAS which typically measures specific campaign performance, MER looks at your entire marketing investment relative to total revenue.
How to Use This Chart
Watch for divergence: If sales are climbing but MER is dropping, you're spending more to get each dollar of revenue. This is common during scaling but should be monitored closely.
Identify efficiency sweet spots: Look for periods where both sales AND MER were high. What campaigns or strategies were running? Replicate them.
Seasonal patterns: This chart helps you understand your business cycles. Plan ad spend increases when historical data shows high-efficiency periods.
Customer LTV vs CAC per Shop
This scatter plot is one of the most strategic views in the dashboard. Each dot represents a shop, plotted by:
X-axis: Customer Acquisition Cost (CAC)
Y-axis: Customer Lifetime Value (LTV)
Reading the Chart
Upper-left quadrant (High LTV, Low CAC): Your best shops. These acquire customers cheaply and those customers spend a lot over time. Protect and scale these.
Lower-right quadrant (Low LTV, High CAC): Problem shops. You're paying a lot for customers who don't stick around. Investigate product-market fit, retention strategies, or consider reducing ad spend.
Diagonal assessment: Shops along the diagonal are breaking even on customer economics. Above the line is profitable; below is unprofitable.
Business Decisions You Can Make
Reallocate budget from low-LTV/high-CAC shops to high-LTV/low-CAC shops
For shops with high CAC but also high LTV, focus on reducing acquisition costs (creative optimization, audience refinement)
For shops with low LTV regardless of CAC, focus on retention programs, email marketing, or subscription offerings
Platform & Shop Performance
This table provides a detailed breakdown by sales platform (Shopify, Amazon, etc.) and shop combination.
Key Columns
Column | Business Use |
Gross Sales | Top-line revenue before adjustments |
Orders | Volume indicator |
Sale Taxes | Tax liability by platform |
Total Sales | Net of adjustments |
Discounts | Discount dependency by platform |
Refunds | Money returned to customers—high refunds indicate product or fulfillment issues |
Order Revenue | Revenue at the order level after discounts |
Gross Revenue | Total revenue before refunds and other deductions |
AOV | Average order value—varies significantly by platform |
NC Revenue | New customer revenue contribution |
NC Orders | New customer volume |
NC AOV | New customer basket size—often lower than overall AOV |
Unique Customers | Customer reach by platform |
Lifetime Value | Platform-specific LTV |
Business Decisions You Can Make
Platform strategy: Compare LTV across platforms. If Shopify customers have significantly higher LTV than marketplace customers, prioritize driving traffic to your owned channels.
Discount analysis: Heavy discounting on one platform but not others? This affects margin and can train customers to wait for sales.
New vs. returning economics: If NC AOV is much lower than overall AOV, your returning customers are your most valuable. Invest in retention and loyalty programs.
Product Performance by Platform & Shop
This granular view shows individual product (SKU) performance across your ecosystem.
Key Columns
Column | What It Reveals |
Units Sold | Volume by SKU |
Gross Sales | Revenue contribution |
Returned Units | Absolute return volume |
Return Rate | Percentage of units returned — critical quality/fit indicator |
COGS | Cost of goods sold — essential for margin analysis |
Business Decisions You Can Make
Identify problem SKUs: Products with return rates above 5-10% warrant investigation. Is it a quality issue? Misleading photos? Sizing confusion?
Margin optimization: Products with high COGS relative to their gross sales are margin drains. Consider price increases, supplier negotiations, or discontinuation.
Hero product identification: High-volume, low-return products are your winners. Feature them in ads, email campaigns, and homepage placement.
Inventory planning: Use this data to inform purchasing decisions. High-velocity, high-margin products deserve deeper inventory investment.
Shipping by Platform & Shop
The final section breaks down shipping economics by shop and platform.
Key Columns
Column | Business Insight |
Shipping Costs | What you're paying carriers |
Shipping Revenue | What customers are paying for shipping |
Net Shipping Margin | The difference — positive means you profit on shipping, negative means it's a cost center |
Business Decisions You Can Make
Shipping profitability: Negative net shipping margins eat into your profits. Consider adjusting shipping rates, negotiating better carrier rates, or setting minimum order values for free shipping.
Free shipping threshold optimization: If net shipping margin is deeply negative, your free shipping threshold may be too low. Test raising it and monitor conversion impact.
Platform comparison: Shipping economics often vary by platform due to different product mixes or customer expectations. Use this to inform platform-specific shipping strategies.
Geographic insights: Large negative margins on certain shops may indicate heavy shipments to distant zones. Consider regional fulfillment or zone-based shipping rates.
Quick Reference: Key Decisions by Dashboard Section
Section | Primary Question It Answers |
Business Performance Summary | "Is my overall business healthy right now?" |
Key Business Metrics per Shop | "Which shops should I invest more in vs. fix or cut?" |
Total Sales & MER | "Am I getting more efficient or less efficient over time?" |
LTV vs CAC Scatter | "Are my customer economics sustainable by shop?" |
Platform & Shop Performance | "How do my channels compare, and where are my best customers?" |
Product Performance | "Which products are helping vs. hurting my business?" |
Shipping by Platform | "Is shipping a profit center or cost center?" |
Tips for Using This Dashboard
Set a regular review cadence: Weekly for tactical decisions, monthly for strategic reviews.
Use date range comparisons: Toggle "Previous period" to see period-over-period changes and spot trends.
Filter strategically: Use the platform and shop filters to drill into specific areas when investigating issues.
Look for outliers: Both positive and negative outliers deserve investigation—they often reveal opportunities or problems.
Cross-reference sections: A shop with great ROAS but poor LTV/CAC positioning tells a different story than one metric alone. Use sections together for complete understanding.