# Configure Big Number KPIs

#### Overview

Big Number widgets are the cornerstone of executive dashboards, displaying your most important metrics in a clear, prominent format. This guide covers everything from basic setup to advanced configurations with comparisons and alerts.

**Perfect for**: KPIs, conversion rates, revenue tracking, traffic monitoring, and any single-metric focus

**Time Required**: 5-10 minutes per widget

#### When to Use Big Number Widgets

{% tabs %}
{% tab title="Executive Dashboards" %}
Show high-level KPIs for leadership review:

* Monthly revenue vs. target
* Overall conversion rate
* Total active users
* Customer satisfaction score
  {% endtab %}

{% tab title="Performance Monitoring" %}
Track critical metrics requiring immediate attention:

* System uptime percentage
* Daily sales targets
* Marketing qualified leads
* Customer churn rate
  {% endtab %}

{% tab title="Goal Tracking" %}
Monitor progress toward specific objectives:

* Revenue targets
* Growth percentages
* Cost reduction goals
* Efficiency improvements
  {% endtab %}
  {% endtabs %}

#### Prerequisites

* Access to Analytics with Edit permissions
* Existing dashboard or create new one
* At least 14 days of data (recommended for comparisons)
* Understanding of your key business metrics

#### Creating Your First Big Number Widget

{% stepper %}
{% step %}
**Add Widget to Dashboard**

From your dashboard, click **"+ Add Widget"**.

Select **"Big Number Metric"** from the widget type options.

<figure><img src="https://placeholder.com/big-number-selection.png" alt="Big Number widget selection"><figcaption><p>Big Number widgets are perfect for displaying single, important metrics prominently</p></figcaption></figure>
{% endstep %}

{% step %}
**Choose Your Metric**

In the configuration panel, click the **Metric** dropdown.

**Popular KPI Metrics**:

* Conversion Rate
* Total Revenue
* Sessions
* Average Order Value
* User Retention Rate
* Customer Lifetime Value

<figure><img src="https://placeholder.com/metric-selection.png" alt="Metric selection dropdown"><figcaption><p>Search for your desired metric or browse by category</p></figcaption></figure>

**For this example**: Select "Conversion Rate"
{% endstep %}

{% step %}
**Configure Comparison (Recommended)**

The comparison feature shows how your metric changed vs. a reference period:

{% tabs %}
{% tab title="Previous Time Range" %}
**Most Common Choice**

* Compares to the same period length before current selection
* Example: This month vs. last month, this week vs. last week
* **Use for**: Regular performance monitoring
  {% endtab %}

{% tab title="Filter Comparison" %}
**Segment Analysis**

* Compares current metric against different filter conditions
* Example: Mobile users vs. desktop users
* **Use for**: A/B testing, segment analysis
  {% endtab %}

{% tab title="Don" %}
**Simple Display**

* Shows only the metric value without comparison
* **Use for**: Absolute numbers like total users, inventory count
  {% endtab %}
  {% endtabs %}

**For this example**: Select "Previous selected time-range"
{% endstep %}

{% step %}
**Position and Save**

Your widget will auto-position in the next available spot. Big Number widgets are sized 3×3 by default, allowing 4 widgets across a standard dashboard.

Click **"Save Widget"** to add it to your dashboard.
{% endstep %}
{% endstepper %}

#### Understanding Your Big Number Display

Your Big Number widget shows multiple pieces of information:

<figure><img src="https://placeholder.com/big-number-explained.png" alt="Big Number widget components"><figcaption><p>Components of a Big Number widget with time comparison enabled</p></figcaption></figure>

**Display Components**

{% tabs %}
{% tab title="Primary Value" %}
**Main Metric**: Large, prominent number (e.g., "3.2%")

* Formatted automatically (percentages, currency, etc.)
* Updates in real-time based on selected date range
* Color coding for quick status assessment
  {% endtab %}

{% tab title="Comparison Indicator" %}
**Change vs. Reference**: Shows difference from comparison period

* **Green positive** (+0.5%): Improvement for positive metrics
* **Red negative** (-0.3%): Decline requiring attention
* **Percentage or absolute** change displayed
  {% endtab %}

{% tab title="Trend Direction" %}
**Visual Indicators**: Quick visual cues for performance

* **↗️ Up arrow**: Positive trend
* **↘️ Down arrow**: Negative trend
* **→ Flat arrow**: No significant change
  {% endtab %}
  {% endtabs %}

#### Advanced Big Number Configurations

<details>

<summary>Setting Up Multiple Related KPIs</summary>

Create a KPI dashboard section with related metrics:

**E-commerce Performance Suite**:

1. **Conversion Rate** (Primary KPI)
2. **Average Order Value** (Supporting metric)
3. **Total Revenue** (Business impact)
4. **Sessions** (Traffic context)

**Layout Strategy**:

```
[Conversion] [AOV      ] [Revenue ] [Sessions]
[   3.2%   ] [  $85    ] [$45,230 ] [12,543  ]
[ (+0.5%)  ] [(+$5)    ] [(+12%)  ] [(-2.1%) ]
```

This gives complete performance context in one view.

</details>

<details>

<summary>Industry-Specific KPI Examples</summary>

**SaaS/Subscription Business**:

* Monthly Recurring Revenue (MRR)
* Customer Churn Rate
* Customer Acquisition Cost (CAC)
* Lifetime Value (LTV)

**E-commerce**:

* Conversion Rate
* Average Order Value
* Cart Abandonment Rate
* Return on Ad Spend (ROAS)

**Content/Media**:

* Page Views per Session
* Bounce Rate
* Time on Site
* Return Visitor Rate

**Lead Generation**:

* Lead Conversion Rate
* Cost per Lead
* Marketing Qualified Leads
* Sales Qualified Leads

</details>

#### Comparison Configuration Deep Dive

**Time-based Comparisons**

{% stepper %}
{% step %}
**Same Period Last Year**

Perfect for seasonal businesses:

* Compares December this year vs. December last year
* Accounts for seasonal variations
* Shows year-over-year growth trends
  {% endstep %}

{% step %}
**Previous Period**

Most common comparison type:

* **Daily view**: Today vs. yesterday
* **Weekly view**: This week vs. last week
* **Monthly view**: This month vs. last month
* **Custom range**: Previous equivalent period
  {% endstep %}

{% step %}
**Rolling Averages**

Smooths out daily fluctuations:

* Compare today vs. 7-day rolling average
* Reduces noise from weekend/weekday patterns
* Better for volatile metrics
  {% endstep %}
  {% endstepper %}

**Filter-based Comparisons**

**Use Cases**:

* **A/B Testing**: Variant A performance vs. Variant B
* **Segment Analysis**: Mobile users vs. desktop users
* **Geographic**: Country A performance vs. Country B
* **Channel**: Organic traffic vs. paid traffic

**Setup Process**:

1. Select "Filter Comparison" in comparison dropdown
2. Define your base filter conditions
3. Set comparison filter conditions
4. Widget shows: Base metric vs. Comparison metric

#### Setting Up Performance Alerts

Big Number widgets can trigger alerts when values exceed thresholds:

{% stepper %}
{% step %}
**Access Alert Configuration**

Click the menu (⋮) on your Big Number widget.

Select **"Configure Alerts"** from the dropdown.
{% endstep %}

{% step %}
**Define Alert Conditions**

Set up your alert criteria:

{% tabs %}
{% tab title="Threshold Alerts" %}
Trigger when metric crosses a specific value:

* **Above**: Alert when metric > X (e.g., churn rate > 5%)
* **Below**: Alert when metric < X (e.g., conversion rate < 2%)
  {% endtab %}

{% tab title="Change Alerts" %}
Trigger when metric changes significantly:

* **Increase**: Alert when metric increases > X% (e.g., +25% traffic spike)
* **Decrease**: Alert when metric decreases > X% (e.g., -15% revenue drop)
  {% endtab %}
  {% endtabs %}
  {% endstep %}

{% step %}
**Configure Notification Settings**

Choose how you want to be notified:

* **Email**: Immediate email alerts to specified recipients
* **Dashboard**: Visual alerts in dashboard interface
* **Frequency**: Immediate, daily summary, or weekly digest
  {% endstep %}
  {% endstepper %}

#### Best Practices for Big Number KPIs

**Layout and Design**

**Executive Dashboard Layout**:

```
[Primary KPI ] [Secondary  ] [Supporting ] [Context   ]
[Conversion  ] [Revenue    ] [AOV        ] [Traffic   ]
[    3.2%    ] [  $45,230  ] [   $85     ] [ 12,543   ]
```

**Guidelines**:

* **Most important metric** in top-left position
* **Maximum 4-6 Big Numbers** per dashboard row
* **Group related metrics** together
* **Use consistent time ranges** across related widgets

**Metric Selection Strategy**

{% tabs %}
{% tab title="Primary KPIs" %}
**Business-Critical Metrics** (1-2 per dashboard):

* Revenue, profit, or main business outcome
* Primary conversion or engagement metric
* Customer satisfaction or retention

**Characteristics**:

* Directly tied to business objectives
* Reviewed by executives regularly
* Clear targets or benchmarks exist
  {% endtab %}

{% tab title="Supporting Metrics" %}
**Context and Diagnosis** (2-4 per dashboard):

* Traffic volume (Sessions, Users)
* Engagement quality (Bounce Rate, Time on Site)
* Efficiency metrics (Cost per Acquisition)

**Characteristics**:

* Help explain primary KPI changes
* Provide operational context
* Enable root cause analysis
  {% endtab %}
  {% endtabs %}

**Alert Threshold Guidelines**

**Conservative Starting Points**:

* **Revenue metrics**: ±15-20% change alerts
* **Traffic metrics**: ±25-30% change alerts
* **Conversion metrics**: ±20-25% change alerts
* **Quality metrics**: ±50% change alerts

**Adjustment Strategy**:

1. Start with conservative thresholds
2. Monitor for false positives over 2-4 weeks
3. Adjust based on normal business variance
4. Review and refine monthly

#### Troubleshooting Common Issues

**Widget Shows "No Data Available"**

**Diagnostic Steps**:

1. **Check date range**: Extend to last 30 days
2. **Verify metric availability**: Some metrics require specific tracking
3. **Review filters**: Remove any restrictive dashboard filters
4. **Confirm data source**: Ensure data collection is active

**Comparison Shows Unexpected Results**

**Common Causes**:

* **Different data availability** between periods
* **Date range boundaries** cutting off complete periods
* **Seasonal variations** affecting comparison validity
* **Data collection changes** between compared periods

**Solutions**:

* Use complete weeks/months for comparison
* Check for known data collection changes
* Consider year-over-year comparisons for seasonal data

**Performance Issues with Multiple Big Numbers**

**Optimization Tips**:

* **Limit to 8-10 widgets** total per dashboard
* **Use shorter date ranges** (30-90 days) for operational dashboards
* **Avoid complex filters** on multiple widgets
* **Consider splitting** into multiple focused dashboards

#### FAQ

<details>

<summary>How many Big Number widgets should I use on one dashboard?</summary>

**Executive Dashboards**: 4-6 Big Numbers maximum **Operational Dashboards**: 6-8 Big Numbers with supporting charts **Focus Dashboards**: 2-4 Big Numbers for specific area analysis

More than 8-10 total widgets can slow loading and overwhelm users.

</details>

<details>

<summary>What's the best comparison type for tracking monthly performance?</summary>

For monthly performance tracking, use **"Previous selected time-range"**:

* Compares this month vs. last month
* Accounts for month-length variations
* Shows month-over-month growth trends

For seasonal businesses, also create year-over-year comparison widgets to account for seasonal patterns.

</details>

<details>

<summary>Can I customize the number formatting in Big Number widgets?</summary>

Yes! Number formatting is automatic based on metric type:

* **Currency**: Displays with $ symbol and appropriate decimals
* **Percentages**: Shows % symbol with 1-2 decimal places
* **Large numbers**: Uses K/M/B abbreviations (e.g., 1.2K, 5.4M)

The system automatically selects the most readable format for your data.

</details>

<details>

<summary>How do I know if my KPI targets are realistic?</summary>

**Benchmark Sources**:

* **Industry reports**: Look up industry average conversion rates, etc.
* **Historical performance**: Use your own 6-12 month trends
* **Competitor analysis**: Public data or industry studies
* **Business goals**: Work backward from revenue/growth targets

Start with conservative targets and adjust based on actual performance trends.

</details>

***

**Related Guides:**

* Create Your First Dashboard
* Setup Performance Alerts
* Track E-commerce Performance
* Understand the Analytics Interface


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.crobox.com/how-to-guides/analytics/essential-guides/configure-big-number-kpis.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.