> ## Documentation Index
> Fetch the complete documentation index at: https://bundles-docs.getappfox.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Analytics

> Track bundle performance, revenue, and optimization opportunities

The Analytics page provides detailed insights into your bundle performance, helping you understand which bundles drive the most value and where to optimize.

## Analytics overview

Access detailed analytics by clicking **Analytics** in the left navigation.

## Key metrics

### Revenue generated

Total revenue from products sold as part of bundles.

* **What it measures**: Sum of all product sales where bundle discounts were applied
* **Why it matters**: Shows direct revenue impact of your bundle strategy
* **How it's calculated**: Sum of line item totals for all products in bundle orders

### Orders received

Number of unique orders that included at least one bundle.

* **What it measures**: Count of distinct orders with bundle purchases
* **Why it matters**: Indicates customer adoption of bundles
* **Insight**: Compare to total store orders to see bundle penetration

### Total savings

Total amount of discounts given to customers through bundles.

* **What it measures**: Sum of all bundle discount amounts
* **Why it matters**: Shows investment in customer incentives
* **Trade-off**: Higher savings may increase volume but reduce margins

### Bundle ROI

Return on investment from bundles, calculated as (Revenue Generated / Total Savings) × 100.

* **What it measures**: Revenue return per dollar of discount
* **Why it matters**: Indicates bundle profitability
* **Interpretation**:
  * ROI > 500%: Excellent (generating $5+ per $1 discount)
  * ROI 300-500%: Good
  * ROI \< 300%: Consider optimizing discounts

## Bundle performance breakdown

View performance metrics for each bundle:

### By bundle

* Bundle name and type
* Times viewed on product pages
* Times added to cart
* Times purchased
* Conversion rate (views → purchases)
* Revenue generated
* Total discounts given
* ROI per bundle

### Sorting and filtering

Sort bundles by:

* Revenue (highest to lowest)
* Conversion rate
* ROI
* Number of orders

Filter by:

* Date range
* Bundle type
* Active/inactive status

## Time-based analytics

View performance over time:

* **Daily**: Track day-to-day trends
* **Weekly**: Identify weekly patterns
* **Monthly**: See long-term trends
* **Custom range**: Any date range you specify

Use time-based data to:

* Identify seasonal trends
* Measure impact of changes
* Spot performance anomalies
* Plan future bundles

## Product performance in bundles

See which products drive bundle success:

* **Most bundled products**: Which products appear in successful bundles
* **Best performing products**: Products with highest conversion in bundles
* **Product revenue impact**: Revenue contribution by product

Use this data to:

* Identify hero products for future bundles
* Optimize product selection in existing bundles
* Spot underperforming products to replace

## Conversion funnel

Track the customer journey:

1. **Bundle views**: How many times bundles were displayed
2. **Add to cart**: How many times "Add to cart" was clicked
3. **Checkout**: How many proceeded to checkout
4. **Purchase**: How many completed purchase

### Funnel metrics

* **View-to-cart rate**: Percentage who add bundle to cart
* **Cart-to-purchase rate**: Percentage who complete purchase
* **Overall conversion rate**: View-to-purchase percentage

Use funnel data to identify where customers drop off and optimize accordingly.

## Comparison metrics

Compare bundle performance to store averages:

* **Average order value (AOV) with bundles** vs. store average AOV
* **Conversion rate of bundle products** vs. non-bundle products
* **Customer lifetime value** of bundle customers vs. non-bundle customers

## Insights and recommendations

The analytics page provides automated insights:

<AccordionGroup>
  <Accordion title="Top performers" icon="trophy">
    Bundles with highest revenue, conversion, or ROI. Consider creating similar bundles or increasing promotion of these.
  </Accordion>

  <Accordion title="Underperformers" icon="triangle-exclamation">
    Bundles with low conversion or ROI. Consider adjusting discount, changing products, or deactivating.
  </Accordion>

  <Accordion title="Trends" icon="chart-line">
    Increasing or decreasing performance over time. Identifies momentum or issues.
  </Accordion>

  <Accordion title="Opportunities" icon="lightbulb">
    Suggestions for new bundles based on product performance and customer behavior.
  </Accordion>
</AccordionGroup>

## Optimization strategies

Use analytics to optimize your bundle strategy:

### If conversion rate is low (\< 2%)

* **Check discount attractiveness**: May need higher discount
* **Review product selection**: Products may not be complementary
* **Improve widget visibility**: Ensure widget is prominent on page
* **Simplify offer**: Complex bundles may confuse customers

### If ROI is low (\< 300%)

* **Reduce discount percentage**: Current discount may be too high
* **Include higher-margin products**: Improve product mix
* **Increase bundle price**: Add more valuable products
* **Test different bundle type**: May need different structure

### If views are low

* **Improve product page placement**: Move widget higher on page
* **Promote bundles**: Add to homepage, collections, marketing
* **Expand to more products**: Include bundle products in more bundles
* **Use cart banner**: Remind customers of bundle opportunities

### If cart-to-purchase rate is low

* **Simplify checkout**: Remove friction in checkout process
* **Improve discount visibility**: Make savings clearer in cart
* **Add urgency**: Limited-time language or stock indicators
* **Review cart experience**: Ensure bundle discount is obvious

## Exporting analytics data

Export analytics for deeper analysis:

1. Select date range
2. Choose metrics to include
3. Click **Export**
4. Download CSV or Excel file

Use exported data for:

* Custom reporting
* Sharing with stakeholders
* Integration with other analytics tools
* Historical record keeping

## Tracking and attribution

### How purchases are tracked

Product Bundles tracks:

* When bundle widget is viewed
* When bundle is added to cart
* When bundle products are purchased
* Which specific bundle drove the purchase

### Multi-touch attribution

If a customer views multiple bundles before purchasing:

* Credit goes to the bundle actually purchased
* Views are tracked for all bundles seen
* Conversion rates reflect actual purchase bundle

## Best practices

<AccordionGroup>
  <Accordion title="Review analytics weekly" icon="calendar">
    Check performance at least weekly to identify trends and issues early.
  </Accordion>

  <Accordion title="Set benchmarks" icon="bullseye">
    Establish target metrics (e.g., 3% conversion rate, 500% ROI) and track progress toward them.
  </Accordion>

  <Accordion title="A/B test changes" icon="flask">
    When optimizing bundles, change one variable at a time to measure impact accurately.
  </Accordion>

  <Accordion title="Focus on ROI, not just revenue" icon="dollar-sign">
    High revenue with low ROI means you're giving away too much margin. Balance both metrics.
  </Accordion>

  <Accordion title="Compare time periods" icon="calendar-days">
    Look at week-over-week and month-over-month changes to spot trends beyond daily fluctuations.
  </Accordion>
</AccordionGroup>

## Understanding data accuracy

Analytics data updates:

* **Real-time**: Order and revenue data
* **Near real-time** (within minutes): View and cart data
* **Daily refresh**: Aggregated reports and insights

### Data considerations

* Orders may be refunded or cancelled, affecting historical metrics
* Test orders (if not filtered) can skew data
* Bundles with very low traffic may show volatile conversion rates

<Tip>Use analytics to run experiments. Try different discounts on similar bundles and compare ROI to find your optimal discount sweet spot.</Tip>