The Products View empowers product managers and marketing specialists to dig deep into product-level performance, spot trends, and drive actions. Here are 5 common use cases and some tips for action:
🎯 Key Use Cases & How to Tackle Them
1. Identify Top Products for New vs. Returning Customers
Understand which products are best at acquiring new customers vs. retaining loyal ones.
Helpful metrics:
• Revenue ex VAT (New & Ret)
• % Revenue ex VAT (New)
• Items Sold Share % (New Customers)Tooling:
➤ Use the Deep Dive Table and filter by product segment or SKU.
➤ Apply secondary dimensions like campaign or ad to see which initiatives drove acquisition.
2. Pinpoint Which Channels or Ads Sell Which Products
Trace product sales back to channel, campaign, ad group, or ad level.
Helpful metrics:
• Revenue ex VAT
• Items Sold
• Revenue Share %Tooling:
➤ Use secondary dimensions in the Deep Dive Table (e.g. Product × Campaign).
➤ Filter to isolate Meta or Google campaigns, then compare performance.
3. Compare Similar Products to Optimize Portfolio
Find out which similar SKUs or bundles perform better.
Helpful metrics:
• Items Sold
• Revenue ex VATTooling:
➤ Use the CompareChart to benchmark up to 5 products on one key metric.
➤ Useful for A/B testing variants or analyzing seasonal demand.
4. Spot Product Drops After Website or Marketing Changes
Check if a product’s performance has dropped due to:
• End of promotions
• Loss of visibility
• Packaging or price changesHelpful metrics:
• Revenue ex VAT
• Items SoldTooling:
➤ Use the Period Trend Chart to compare the current period with the previous one.
➤ Filter by product segment (e.g. "Homepage Products") to isolate changes.
5. Understand Sales Distribution Across the Catalog
Assess product concentration and how many items actually drive performance.
Helpful metrics:
• Revenue Share %
• Items Sold Share %Tooling:
➤ Sort the Deep Dive Table to reveal top vs. low-performing items.
➤ Combine with secondary dimensions to see where long-tail products sell.
🛠 Feature Overview & How They Support Analysis
Feature | Purpose |
Deep Dive Table | Explore revenue, item volume, and audience split per product or segment |
Secondary Dimensions | Combine products with campaigns, ads, or channels |
Period Trend Chart | Detect product momentum changes over time |
CompareChart | Benchmark similar products side-by-side |
KPI Chart | Visualize two key metrics for selected products (e.g. Items Sold vs. % Revenue New) |
💡 Tips for Action
Use % Revenue New to find entry-point products for acquisition campaigns.
Combine product × ad view to align creative performance with SKU performance.
Review the Compare Chart during campaign retros or merchandising updates.
Create product segments to track key product groups over time:
🧠 Example Segments Worth Exploring
You can group products into segments based on product name patterns, variants, or marketing metadata:
🛍️ Based on Product Use or Audience
“Men’s grooming kits”
“Products with 'gift' or 'present' in the name”
“Travel-sized formats”
“Kids collection”
“Vegan skincare line”
“Products labeled ‘XL’ or ‘Family Pack’”
📈 Based on Lifecycle or Format
“Refills vs. full-size products”
“New launches (e.g. containing ‘2025’ in name)”
“Bundle SKUs vs. single items”
“Limited edition products”
📣 Based on Campaign or Promotion Relevance
“Homepage featured products”
“Products pushed in Meta ads last 30 days”
“Black Friday bundles”
“Landing page hero SKUs”
🔧 Use these segments to compare performance over time, identify best product fits for campaigns, or spot hidden gems in the catalog.
