Analytics
Cross-channel analytics and diagnosis
Investigate performance directly, then let the workspace explain what moved and why it may have moved.
Overview
Northwind Retail — Meta Ads · USD · UTC
| Point 1 | 38 USD |
|---|---|
| Point 2 | 41 USD |
| Point 3 | 39 USD |
| Point 4 | 44 USD |
| Point 5 | 46 USD |
| Point 6 | 45 USD |
| Point 7 | 48 USD |
| Point 1 | 52 purchases |
|---|---|
| Point 2 | 50 purchases |
| Point 3 | 51 purchases |
| Point 4 | 47 purchases |
| Point 5 | 45 purchases |
| Point 6 | 46 purchases |
| Point 7 | 44 purchases |
| Point 1 | 20 per purchase |
|---|---|
| Point 2 | 21 per purchase |
| Point 3 | 22 per purchase |
| Point 4 | 23 per purchase |
| Point 5 | 25 per purchase |
| Point 6 | 25 per purchase |
| Point 7 | 26 per purchase |
| Point 1 | 40 attributed revenue |
|---|---|
| Point 2 | 39 attributed revenue |
| Point 3 | 38 attributed revenue |
| Point 4 | 36 attributed revenue |
| Point 5 | 35 attributed revenue |
| Point 6 | 35 attributed revenue |
| Point 7 | 34 attributed revenue |
Cost per purchase
vs previous 7 days| Point 1 | 20 USD |
|---|---|
| Point 2 | 21 USD |
| Point 3 | 22 USD |
| Point 4 | 23 USD |
| Point 5 | 25 USD |
| Point 6 | 25 USD |
| Point 7 | 26 USD |
Spend distribution
Needs attention
- CriticalProspecting CPA rose 24% over 7 days
- Data quality1 ad account delivered no data after the last sync window
Recommended next step
Creative fatigue in broad prospecting ad sets
Current
“Bundle offer v2” active in 3 ad sets, $12,480 of 7-day spend
Proposed
Pause “Bundle offer v2” in the two broad ad sets and reallocate 15% of their daily budget to retargeting
Figures are illustrative sample data. Nothing here is presented as a guaranteed result, and no change is executed without review.
How it works
Input → analysis → output
The same sequence runs on every surface, so a conclusion can always be traced back to its inputs.
Input
Metrics, filters, and a breakdown dimension
Analysis
Trend and distribution analysis with anomaly flags
Output
A chart and table set plus a written diagnosis that separates facts from hypotheses
Scenario. An analyst selects cost per purchase, breaks it down by ad set, and sees which segment drove the change before reading the written diagnosis.
What you can do
Capabilities and limits, stated plainly
We list what is shipped and what is not, so expectations match the product.
Supported
- Metric selector with time grain and comparison period
- Breakdowns only where the source data supports them
- Trend charts with accessible tabular alternatives
- Incomplete periods and attribution differences marked explicitly
Limitations
- Breakdown dimensions depend on what the connected platform returns
- Platform-attributed metrics are never compared against unlike definitions without a warning
Proof
From a change in the data to a reviewable action
- 1
Select an account and date range
One account, one comparison window. Every number below stays anchored to the same selection.
Northwind Retail — Meta Ads · Last 7 days
- 2
Identify a material change
CPA moved well beyond normal week-over-week variation, so it is surfaced instead of waiting to be noticed.
CPA +11.2% vs previous 7 days
- 3
Inspect the supporting metrics
Spend, conversions, ad set mix, and creative performance are shown together with the affected scope.
3 ad sets · 1 creative · 7-day window
- 4
Review a suggested action
A specific proposal with evidence, assumptions, risk, and reversibility — ready to approve or dismiss.
Pause creative · reallocate 15% budget
Make your next advertising decision with better evidence.
Request access and connect an advertising account to see the workspace with your own data.