Comparing your results with Industry benchmarks

Multilevel sorting helps you analyze campaign and automation statistics more efficiently. It lets you apply multiple sorting criteria at once — for example, first by open rate, then by click rate — so you can better understand performance patterns and prioritize key data.

How It Works

Step 1 – Select the First Sorting Level

1. Open your Statistics => Ratings and trends.
2. Click the column header (e.g., Open Rate, Spam Rate etc.).

3. Choose Sort Ascending or Sort Descending — this sets your primary sort.

Step 2 – Add the next sorting level.

1. Click the header of the column that represents the metric you want to sort your campaigns by.
2. Click the header of another column to apply additional sorting criteria.
3. Repeat to add a third level if needed.

Example:

• Primary sort: Open Rate (highest to lowest)
• Secondary sort: Click Rate (highest to lowest)
• Result → You’ll first see campaigns with the best open rates, and within those, the ones with the highest click performance.

Changing Sorting Priority

• The first column you select is always the top priority.
• To change priority click Clear Sorting, then select columns again in your desired order.

Tips for Effective Analysis

• Combine engagement metrics to find the most successful campaigns.
  • Example: Open Rate → Click Rate → Unsubscribe Rate.
• Use sorting by date + performance to identify trends over time.
• Save frequently used sorting combinations as custom views (if available in your plan).

Limitations

• Multilevel sorting works on visible columns only — hidden metrics must be re-enabled in column settings.
• Some charts (like visual summaries or heatmaps) are not affected by sorting changes.