Meta Ads Product Analytics
Product-level analytics for your Facebook and Instagram catalog campaigns. Track purchases, revenue, reach, and ROAS per SKU across Dynamic Product Ads and Advantage+ Shopping. The same dashboard components you use for Google Shopping, powered by Meta's native metrics.
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8 KPI Cards with Meta-Specific Metrics
The Meta overview page displays eight KPI cards built around the metrics that matter for Facebook and Instagram catalog campaigns: Cost, Link Clicks, Impressions, Reach, Purchases, Revenue, CPC, and ROAS. Each card includes a sparkline showing the daily trend and a percentage change badge comparing the selected period against the previous equivalent period.
These are Meta's native metrics, not Google's. Link Clicks replace Google's Clicks. Purchases replace Conversions. Reach is a metric that only exists on Meta, showing how many unique people saw your product ads. Together they give you a complete picture of your DPA and Advantage+ Shopping performance without opening Meta Ads Manager.
The sparklines surface patterns that raw Ads Manager numbers hide: a gradual reach decline as your audience saturates, a CPC spike after a creative rotation, or a purchase drop that coincides with a budget change. Pick any date range from 7 to 365 days and every card recalculates instantly.
- 8 product-level Meta metrics with automatic period comparison
- Reach metric unique to Meta shows audience saturation at a glance
- Inline sparklines reveal daily trends for each KPI
- Green/red change badges so you see direction instantly
Brand Performance Across Facebook & Instagram
If your catalog spans multiple brands, the brand performance section breaks down how each brand performs in your Meta campaigns. A top-10 bar chart ranks brands by revenue so you can see which ones are actually driving return from your Facebook and Instagram spend.
The budget allocation treemap shows where your Meta spend is going at a glance. A brand consuming 40% of your DPA budget but generating only 15% of revenue stands out immediately. Next to it, a radar chart compares your top 5 brands across five dimensions: ROAS, impressions, conversions, clicks, and conversion value. It reveals each brand's strengths and weaknesses in a single visual.
This is the same brand analysis you get on the Google Shopping side, applied to your Meta catalog. A brand might be a top performer on Google but underperforming on Facebook, or the other way around. Seeing the breakdown for each platform separately lets you make informed budget decisions.
- Top 10 brands by revenue with sortable bar chart
- Budget allocation treemap showing spend distribution per brand
- Radar chart comparing top 5 brands across 5 dimensions
Portfolio Analytics with 12 Filterable Charts
The Meta Portfolio Analytics page gives you 12 time series charts that update in real time as you filter by brand, product type, or custom labels 0 through 4. Every chart recalculates the moment you select a filter, so you can drill into any segment of your Facebook and Instagram catalog.
The 12 charts cover both standard and Meta-specific metrics: Cost, Link Clicks, Impressions, Reach, Purchases, Revenue, ROAS, Add to Cart, View Content, CPM, CPC, and Frequency. Add to Cart and View Content are funnel events unique to Meta that show how users interact with your product ads before purchasing. Frequency reveals how often the same person sees your ads, a key signal for audience fatigue.
Use it to answer questions like "How are sneakers performing on Instagram this month?" or "Is our top brand's Meta ROAS declining?" The filters narrow to the exact product segment you care about, and 12 charts give you every angle of that segment's performance.
- 12 time series charts including Add to Cart, View Content, CPM, and Frequency
- Filter by brand, product type, and all 5 custom labels
- Frequency chart helps detect audience saturation before it hurts ROAS
- Same interface as the Google Portfolio Analytics page
Product Radar — Visual Scatter Plot
The Meta Product Radar plots your top 100 products by spend on a 2D scatter chart. Each product appears as its actual product thumbnail, so you can identify items visually without reading tables. Hover over any product to see its full metric breakdown: cost, link clicks, impressions, reach, purchases, revenue, CPC, and ROAS.
The X and Y axes are fully configurable. Plot CPA vs. conversion value to find products that convert cheaply at high value. Switch to impressions vs. link clicks to spot products with high visibility but low engagement, which often points to a creative problem in your DPA template. Or map reach vs. frequency to identify products where your audience is fatigued.
Pan and zoom to explore clusters or isolate outliers. Products that are clearly separated from the main group deserve attention, whether they are outperforming and should get more budget, or underperforming and need creative updates or audience adjustments.
- Top 100 Meta products by spend with actual product thumbnails
- Configurable X/Y axes: cost, ROAS, CPC, CPA, reach, frequency, and more
- Pan, zoom, and hover for full product details
Spend Distribution by Intelligence Label
See exactly where your Meta budget goes across product intelligence labels. The same classification system used for Google Shopping — Hero, Scale, Cash Cow, Opportunity, Fix Price, Cut, Monitor — is applied to your Meta catalog automatically. The spend distribution chart shows how much Facebook and Instagram budget each label category is consuming.
A stacked bar chart gives you the overall breakdown, while a side-by-side comparison shows cost and revenue per label. If your Cut products are absorbing 20% of Meta spend but generating near-zero revenue, you have a clear action item. If Hero products are under-invested relative to their ROAS, there is room to scale.
Labels are calculated from the same rules you define on the Custom Labels page. Change a rule once and it updates across both Google and Meta, giving you a unified framework for catalog health.
- Shared intelligence labels across Google Shopping and Meta catalogs
- Stacked bar chart plus side-by-side cost vs. revenue comparison
- Daily label reclassification as new Meta performance data arrives
Portfolio Summary & Top Performers
The portfolio summary gives you a catalog health snapshot for your Meta campaigns. At a glance you see the total number of products running on Facebook and Instagram, how they break down by ROAS quadrant, and which specific products are your top performers.
The ROAS quadrant donut chart segments your catalog into four groups: high ROAS products that are driving strong returns, mid-range products with moderate efficiency, burners that spend heavily with poor returns, and zero-sale products that have consumed budget without generating a single purchase. Knowing the ratio across these quadrants tells you how healthy your overall Meta catalog is.
A top products carousel highlights your best-performing items with their full metric breakdown: cost, revenue, ROAS, purchases, link clicks, and more. Scroll through to see exactly which SKUs are carrying your Facebook and Instagram ad performance.
- ROAS quadrant donut: high, mid, burners, and zero sales
- Top products carousel with full per-product metric breakdown
- Total active product count for your Meta catalog
Revenue Concentration Analysis
The Lorenz curve shows how concentrated your Meta revenue is across your product catalog. A perfectly even distribution would follow the diagonal line. The further your curve bows away from it, the more your revenue depends on a small number of products. The Gini coefficient quantifies this in a single number.
Three concentration bars break it down further: what percentage of total revenue comes from your top 10%, top 20%, and top 50% of products. Most Facebook and Instagram catalogs are highly concentrated. If your top 10% drives 80% of revenue, those products are critical. Any issue with them — a price change, out of stock, or creative fatigue — directly impacts your overall Meta performance.
An indicator label shows whether your distribution is "Well Distributed" or "Highly Concentrated." Compare this against your Google Shopping concentration to see whether the same products dominate both channels or if your Meta catalog has a different revenue profile.
- Lorenz curve with Gini coefficient for revenue distribution
- Top 10%, 20%, and 50% concentration bars
- "Well Distributed" vs. "Highly Concentrated" indicator label
Performance Quadrant with Product Details
The performance quadrant scatter plot maps your Meta products on cost vs. conversions, dividing the chart into four zones. Products in the top-left quadrant convert well at low cost — your best performers. Products in the bottom-right spend heavily with few conversions — candidates for creative refresh or exclusion from your Advantage+ Shopping campaigns.
Hover over any dot to see the full product breakdown: cost, link clicks, impressions, CTR, CPC, conversion rate, conversions, conversion value, CPA, and ROAS. Every number you need to make a decision about that product is in the tooltip. No need to switch to a table or open another report.
This view is especially useful for catalogs running Dynamic Product Ads, where Meta's algorithm decides which products to show. The quadrant reveals which products the algorithm is investing in and whether those investments are paying off. Products with high spend and low conversions might need better images, updated descriptions, or adjusted pricing.
- Cost vs. conversions scatter plot with four performance zones
- Hover tooltip with 10 metrics per product: cost, CTR, CPC, ROAS, and more
- Reveals which products Meta's algorithm is investing in
Frequently Asked Questions
What Meta Ads metrics does SKU Analyzer track at the product level?
SKU Analyzer tracks 8 core Meta metrics per product: Cost, Link Clicks, Impressions, Reach, Purchases, Revenue, CPC, and ROAS. It also tracks Meta-specific events like Add to Cart, View Content, and Frequency. Each metric includes sparkline trends and period-over-period comparison, pulled directly from the Meta Marketing API.
How does Meta attribution differ from Google Ads attribution?
Meta Ads uses configurable attribution windows (1-day click, 7-day click, 7-day click + 1-day view, or 28-day click + 1-day view), while Google Ads defaults to 30-day click attribution. SKU Analyzer displays your account's Meta attribution setting so you can interpret purchase numbers in the correct context.
Which Facebook and Instagram campaign types are supported?
SKU Analyzer pulls product-level data from any Meta campaign that uses a product catalog, including Dynamic Product Ads (DPA), Advantage+ Shopping campaigns, and catalog-based retargeting. Any campaign type that reports at the product (retailer_id) level is supported.
Do the same intelligence labels work for Meta products?
Yes. The same product intelligence labels (Hero, Scale, Cash Cow, Opportunity, Fix Price, Cut, Monitor, etc.) are applied to your Meta catalog using the same rules you define for Google Shopping. Labels update daily as new Meta performance data arrives, giving you a consistent framework for evaluating product health across both platforms.
How often is Meta Ads data refreshed?
Meta data refreshes daily alongside Google Ads data during the automated 3 AM sync. The worker fetches the last 14 days of Meta performance data to capture any delayed attribution, and stores it at the product level for historical analysis.
See your Meta Ads product data clearly
Explore the Meta analytics pages with sample data, or apply for early access to connect your own Facebook and Instagram ad accounts.