Ruleset Analytics gives you a bird’s-eye view of how your automation rulesets are impacting performance—both across your entire account and down to individual rules.
With interactive metrics, trend charts, utilization breakdowns, and drill-downs by rule, you can quickly spot opportunities, troubleshoot under-performing automations, and fine-tune your strategy.
Overview
Account-Level Analytics
See aggregate results for all your active rulesets: which automations are firing, how linked campaigns compare to unchanged or unlinked campaigns, and which automation types are most widely used.Individual Ruleset Analytics
Dive into a single ruleset to monitor its specific performance, understand exactly which conditions are triggering, and measure its direct impact on spend, sales, and efficiency.
Accessing Ruleset Analytics
1. From the Sidebar
Go to Automation → Rule Sets.
2. Account-Level View
Click the Analytics tab at the top of the Rule Sets page.
3. Per-Ruleset View
Open any ruleset, then navigate to its Analytics tab.
Account-Level Analytics
1. Metrics Snapshot
The Metrics Snapshot gives you a side-by-side comparison of three campaign groups over your selected date range (e.g. May 1–31) versus the previous period (e.g. Mar 31–Apr 30).
All numbers and percentage deltas reflect performance in the chosen window and how it’s changed since the prior period.
Campaign Group Definitions
1. Linked Campaigns
Campaigns currently tied to one or more active automation rulesets.
AND at least one automated change fired during the selected date range.
Use this group to measure the direct impact of your automations.
2. Unchanged Campaign
Campaigns currently tied to active rulesets
BUT no automated actions met their criteria during the selected date range
A high “Unchanged” count can indicate thresholds that are too strict or that performance has shifted since rules were set.
3. Other Campaigns
Campaigns not currently linked to any active ruleset
Includes campaigns that were linked in the past but have since been unlinked
Serves as a baseline to compare manual vs. automated performance.
Note: If a campaign was previously linked but is no longer tied to automation at the moment of analysis, its metrics will roll into the Other Campaigns group.
2. Linked Campaign Performance Chart
What it shows:
A time-series plot of only the campaigns that are currently linked to an active ruleset and had at least one automated change during your selected date range.
Use cases:
Instantly correlate spikes in automation activity with shifts in spend, order volume, or cost efficiency.
3. Number of Changes by Type Chart
What it shows:
A breakdown of automated actions over time, such as:
Bid Increases
Bid Decreases
Placement Increases
Placement Decreases
Target Pauses, etc.
Displayed as separate lines (or bars) by Daily, Weekly, or Monthly granularity.
Use cases:
Balance check: Ensure you’re not only firing bid increases—healthy automations should include decreases and pauses to protect margins.
Alert on anomalies: A sudden surge in one action (e.g. bid increases) may explain corresponding ACOS jumps.
Rule troubleshooting: If you expect pauses or decreases but see none, it may indicate overly tight thresholds.
4. Number of Automated Changes by Ruleset
What it shows:
A date-by-date table listing each ruleset in your account and the number of changes made from those rulesets.
Note: It only shows automation rulesets that made at least one change in the selected period.
Use cases:
Rule health: Spot rules that are never firing (all “–”)—perhaps their criteria are too restrictive or the configuration is incorrect.
Volume tracking: Identify rules that dominate your automation volume and consider refining them if they’re too aggressive.
Audit trail: Quickly verify that each ruleset ran consistently as scheduled.
5. Automation Utilization
What it shows:
A bar chart displaying the percentage of your active campaigns or ad groups leveraging each automation type:
Bid
Target Harvesting
Negative Targeting
Budget
Placement
Use cases:
Coverage gaps: Discover under-utilized automation types—if Placement rules only cover 30% of SP campaigns, plan to expand placement boosts.
How Utilization Is Calculated?
Automation Type | Numerator | Denominator |
Bid | Total active ad groups inside active campaigns that are linked to an active bid ruleset and have the campaign-level automation toggle turned On | Total active ad groups inside active campaigns |
Target Harvesting | Total active ad groups marked as source in at least one active Target Movement ruleset | Total active ad groups inside active campaigns |
Negative Targeting | Total active ad groups in Sponsored Products campaigns that are marked as source in a Target Movement ruleset with “Negative Keyword” or “Negative ASIN” match types | Total active ad groups inside active Sponsored Products campaigns |
Budget | Total active campaigns linked to an active Budget ruleset and with the campaign-level automation toggle turned On | Total active campaigns |
Placement | Total active Sponsored Products campaigns linked to an active Placement ruleset and with the campaign-level automation toggle turned On | Total active Sponsored Products campaigns |
Individual Ruleset-Level Analytics
1. Metrics Snapshot
A mini version of the account-level summary, scoped to this ruleset’s campaigns. It breaks out your key metrics (Ad Sales, Ad Spend, Orders, Clicks, Impressions, ACOS, ROAS, CPC, etc.) into three buckets for the selected date range (with % change vs. the previous period):
Linked: Campaigns linked to this ruleset and where at least one automated change fired.
Unchanged: Campaigns linked to this ruleset but with no changes during the period.
Other: Campaigns not tied to this ruleset.
2. Linked Campaign Performance
A time-series plot of only the campaigns that are currently linked to this ruleset and had at least one automated change during your selected date range.
3. Number of Changes by Type
A breakdown of every action this ruleset has taken over time:
Bid Increases
Bid Decreases
Placement Boosts/Reductions
Target Pauses, etc.
Switch between daily, weekly, or monthly views to spot any sudden surges or lulls in specific change types, and understand how those shifts correlate with performance.
4. Automated Changes by Rule Name
If your ruleset contains multiple rules, this table shows each one across the top and a tally of how many changes it made each day (or week/month).
Quickly identify rules that never run (all “–”)
See which conditions drive the bulk of your changes
Pinpoint candidates for threshold tweaks.