> For the complete documentation index, see [llms.txt](https://help.openloyalty.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.openloyalty.io/campaigns/campaigns/monitoring-and-analytics.md).

# Monitoring & Analytics

Once a campaign is active, it’s essential to track its performance. The **Campaign Overview** (Single Campaign View) provides clear, actionable insights into how well your campaign is engaging members.

<figure><img src="https://2658975168-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FcNVX03KZzmrGwJihLiEx%2Fuploads%2Fgit-blob-84ed05e45df253d0181b719c5110f54886e53a02%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

***

### 📊 Dashboard Metrics

At the top of the overview page, two key metrics are displayed:

* **Total Engagement** – total number of times the campaign has awarded points or actions to members during the selected period
* **Engaged Members** – number of unique members who received rewards at least once in that timeframe

Beneath the summary, a line chart illustrates these metrics over time, helping you identify peaks and trends.

***

### ⏱️ Timeframe Selection & Comparison

* You can adjust the period (e.g., last 7, 30, or 90 days)
* A dashed line indicates metrics for a previous comparison period, enabling performance benchmarking (e.g., month-over-month)

Use this to assess whether engagement is increasing, plateauing, or declining.

***

### 💰 Limits & Budget Section

A lower panel tracks campaign usage and network capacity:

* **Units issued by campaign**: number of points or coupons granted
* **Remaining units**: budget left before hitting limits
* **Per-member limitations**: counts issued per individual (e.g., total or per period)
* **Completion count per member**: how many times each member can engage

This section helps you monitor whether your limit/budget settings are being reached.

<figure><img src="https://2658975168-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FcNVX03KZzmrGwJihLiEx%2Fuploads%2Fgit-blob-612ed5898479f7d29d80551dd3047dcad4ff487f%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

***

### 🔍 Interpreting Data

* 📈 **Engagement Spikes**:\
  Peaks suggest objectives are resonating—check if they align with trigger events (e.g., start of the campaign, birthday, achievement completion).
* ⚠️ **Zero Engagement**:\
  Indicates possible misconfiguration - check trigger schedule, type, active status, and rule conditions.
* 🔄 **Budget Alerts**:\
  If “Remaining units” nears zero, consider increasing budget or pausing the campaign to adjust.

***

### ✅ Best Monitoring Practices

1. **Set Alerts**: Monitor daily and weekly engagement trends to spot anomalies.
2. **Compare Periods**: Use the comparison feature to evaluate campaign tweaks.
3. **Watch Budgets**: Prevent early exhaustion or over-delivery of rewards.
4. **Use for Informed Iteration**: Adjust rules, visibility, or timing based on analytics.


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