Cross-Channel Analytics for Google + Meta

See Google Shopping and Meta Ads product performance in one unified view. Every product matched by retailer ID, with per-channel cost, clicks, conversions, and revenue side by side. No exports, no spreadsheets, no guessing which channel actually drives results.

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Cross-channel analytics dashboard showing 6 KPI cards with Google and Meta breakdown and 6 daily line charts with teal Google and purple Meta lines for cost, clicks, impressions, conversions, revenue, and ROAS

Combined KPIs with Channel Breakdown

Six unified KPI cards show your total cost, clicks, impressions, conversions, revenue, and ROAS across both Google and Meta combined. Each card breaks down the total with G: and M: labels so you can see at a glance how much each channel contributes. No mental math, no switching between dashboards.

Below the KPIs, six daily line charts plot each metric over time with teal for Google and purple for Meta. You can see exactly when one channel spiked or dipped, whether both channels trend together or diverge, and how spend efficiency compares day by day. Seasonal differences between channels become obvious when both lines sit on the same chart.

This is the view that answers the question your business actually asks: "How are our ads doing across all platforms?" Most tools show Google and Meta in completely separate interfaces. SKU Analyzer puts the combined answer front and center, with per-channel detail one glance away.

  • 6 KPI cards with total + per-channel G: and M: breakdown
  • Daily dual-line charts: teal for Google, purple for Meta
  • Compare spend efficiency, click volume, and conversion trends side by side
  • Spot cross-channel patterns: correlation, divergence, or cannibalization
Cross-channel KPI cards showing Cost, Clicks, Impressions, Conversions, Revenue, and ROAS with Google and Meta breakdown, plus 6 daily line charts with dual teal and purple trend lines
Channel overlap analysis showing Both Channels with 35 products, Google Only with 15 products, and Meta Only with 0 products, each with spend, revenue, and ROAS breakdown plus stacked bar chart

Channel Overlap Analysis

How many of your products actually run on both Google and Meta? The channel overlap section breaks your catalog into three clear segments: products active on both channels, Google only, and Meta only. Each segment shows product count, total spend, total revenue, and ROAS so you see not just the coverage gap but its financial impact.

Products running on only one channel are worth investigating. A product generating strong ROAS on Google Shopping but absent from Meta is an expansion opportunity. The stacked bar chart visualizes spend distribution across segments, making it immediately clear where your budget is concentrated and where it could be diversified.

For products running on both channels, compare per-channel ROAS to understand whether the overlap is complementary or redundant. If the same product delivers 5x ROAS on Google but 1.2x on Meta, that's a signal to shift budget. This analysis replaces the manual process of exporting product lists from both platforms and cross-referencing them in a spreadsheet.

  • Both Channels, Google Only, and Meta Only product counts
  • Spend, revenue, and ROAS per overlap segment
  • Identify expansion opportunities for single-channel products
  • Stacked bar chart shows spend distribution across segments

Per-Product Channel Comparison

Select any product to see its Google vs Meta performance broken down in full detail. The product detail view shows the product image, title, and brand from your Merchant Center feed, then a complete KPI breakdown with G: and M: labels for every metric: cost, clicks, impressions, conversions, revenue, and ROAS.

Below the KPIs, four daily line charts plot cost, clicks, conversions, and revenue with teal for Google and purple for Meta on each chart. You can see at the product level whether both channels move together or diverge, whether a Meta spend increase correlates with Google conversion changes, and how daily performance fluctuates per channel.

This level of per-product, per-channel granularity does not exist in Google Ads or Facebook Ads Manager. Both platforms show you their own data in isolation. SKU Analyzer matches the product across both platforms using retailer_id (Meta) and offer_id (Google Merchant Center), then renders the combined view automatically.

  • Product image, title, and brand from Merchant Center feed
  • Full KPI breakdown with G: and M: labels per metric
  • 4 daily charts: cost, clicks, conversions, revenue with dual-channel lines
  • Automatic product matching via retailer_id = offer_id
Per-product channel comparison showing product image and info, KPI breakdown with Google and Meta values, and 4 daily line charts for cost, clicks, conversions, and revenue with teal and purple lines
Combined product table with columns for Product, G Cost, M Cost, Total Cost, G Clicks, M Clicks, Total Clicks, G Conv, M Purch, Total Conv, G Rev, M Rev, Total Rev

Unified Product Table

Every product in one table with Google and Meta metrics side by side. Each row shows the product with its image and title, then paired columns: G Cost and M Cost next to Total Cost, G Clicks and M Clicks next to Total Clicks, G Conversions and M Purchases next to Total Conversions, and the same pattern for revenue. Sort by any column to instantly find products where one channel dominates.

Color coding keeps the channels visually distinct throughout: teal for Google columns, purple for Meta columns. A product with high Google spend but zero Meta spend is easy to spot. So is one where Meta delivers twice the revenue at half the cost. These patterns are invisible when you look at each platform's dashboard separately.

No more exporting data from Google Ads and Facebook Ads Manager, matching product IDs manually in a spreadsheet, and hoping the naming conventions align. SKU Analyzer matches products by retailer ID automatically and keeps the combined table updated every time data refreshes. This is the table that most multi-channel advertisers build manually once a month. Here, it exists in real time.

  • Google and Meta metrics in the same row per product
  • Sortable by total cost, clicks, conversions, or revenue
  • Teal for Google columns, purple for Meta columns
  • No manual exports or spreadsheet matching required

Frequently Asked Questions

How are products matched across Google and Meta?

Products are matched by retailer ID. Meta's product catalog returns a retailer_id for each product, which maps directly to Google Merchant Center's offer_id. When a product exists in both channels, SKU Analyzer combines Google and Meta metrics into a single row with per-channel and total columns.

Are there differences in how Google and Meta report conversions?

Yes. Google Ads uses a 30-day click attribution window by default for Shopping campaigns. Meta uses configurable attribution windows (commonly 7-day click, 1-day view). SKU Analyzer displays each channel's conversions as reported by that platform, so the numbers reflect each platform's own attribution model. The total column sums both, which is useful for understanding combined volume but should be interpreted with attribution differences in mind.

Do I need both Google and Meta connected to use cross-channel analytics?

Yes. Cross-channel analytics requires both Google Ads and Meta Ads integrations. If only Google is connected, you have access to the full Google analytics suite. Meta can be connected at any time from the Meta Ads page, and cross-channel data populates automatically once both channels have data.

See your full picture across channels

Explore cross-channel analytics with sample data, or apply for early access to connect your own Google and Meta accounts.

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