Pro Plan8 minutesintermediate

Custom Date Comparisons

Compare analytics data across different time periods to understand trends, measure growth, and evaluate performance.

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Last updated: January 15, 2025

Date comparisons help you understand how your metrics change over time. Compare any two periods to measure growth, evaluate campaigns, and identify trends.

Pro Plan

Enabling Date Comparison

1

Open Date Picker

Click the date range selector in the top-right.

2

Select Primary Period

Choose the date range you want to analyze.

3

Enable Comparison

Toggle on "Compare to" option.

4

Choose Comparison Period

Select what to compare against.

5

Apply

Click "Apply" to see comparison data.

Comparison Options

Previous Period

Compares to the same length period immediately before:

  • Last 7 days vs Previous 7 days
  • This month vs Last month
  • Custom range vs Equal period before

Best for: Short-term trend analysis

Previous Year

Compares to the same dates one year ago:

  • Jan 1-31, 2025 vs Jan 1-31, 2024
  • This week vs Same week last year

Best for: Seasonal comparison, annual growth

Custom Comparison

Select any date range to compare against:

  • Compare different campaigns
  • Compare before/after changes
  • Analyze specific events

Best for: Specific analysis needs

Reading Comparison Data

Metric Cards

When comparison is enabled, metrics show:

  • Current value: Primary period result
  • Previous value: Comparison period result
  • Change: Absolute difference
  • Percentage: % change (↑ or ↓)

Chart Overlays

Charts display:

  • Solid line: Current period
  • Dashed line: Comparison period
  • Hover: Both values at each point

Color Indicators

ColorMeaning
GreenPositive change (usually good)
RedNegative change (usually bad)
GrayNo significant change

Context matters! Red for bounce rate increase might be bad, but red for a spam metric might be good.

Common Comparison Scenarios

Week-over-Week

Compare this week to last week:

  • Date Range: Last 7 days
  • Compare to: Previous period

Useful for:

  • Regular performance monitoring
  • Detecting sudden changes
  • Weekly reporting

Month-over-Month

Compare this month to last month:

  • Date Range: This month
  • Compare to: Previous period

Useful for:

  • Monthly growth tracking
  • Budget period analysis
  • Report preparation

Year-over-Year

Compare to same period last year:

  • Date Range: Any period
  • Compare to: Previous year

Useful for:

  • Seasonal analysis
  • Annual growth
  • Long-term trends

Campaign Comparison

Compare two campaigns:

  • Date Range: Campaign A dates
  • Compare to: Custom (Campaign B dates)

Useful for:

  • A/B testing results
  • Campaign effectiveness
  • Promotion analysis

Percentage Change Calculation

Formula

% Change = ((New Value - Old Value) / Old Value) × 100

Examples

CurrentPreviousChange% Change
1,000800+200+25%
1,0001,200-200-16.7%
1,0001,00000%

Special Cases

  • Previous = 0: Shows "New" instead of infinity
  • Both = 0: Shows "N/A"
  • Very small values: May show large percentages

Metric-Specific Comparisons

Visitors

  • Growth indicates reach expansion
  • Decline may indicate issues or seasonality
  • Compare source breakdown

Bounce Rate

  • Lower is usually better
  • Small changes may not be significant
  • Consider with traffic volume

Session Duration

  • Higher often means better engagement
  • Context matters (quick answers vs. deep reading)
  • Compare across sources

Conversions

  • Direct business impact
  • Account for traffic volume changes
  • Calculate conversion rate change

Advanced Comparisons

Multi-Metric Analysis

Compare multiple metrics together:

  1. Enable comparison mode
  2. Note visitors change
  3. Note conversion change
  4. Calculate if changes are proportional

Segment Comparisons

Compare filtered data:

  1. Apply segment filter
  2. Enable comparison
  3. See segment-specific trends

Source-Level Comparison

Compare traffic source performance:

  1. Click on source
  2. View comparison for that source
  3. Identify best/worst performers

Interpreting Results

Significant vs Noise

Consider statistical significance:

  • Large sample: Small changes may be significant
  • Small sample: Large changes may be noise

External Factors

Account for:

  • Seasonality
  • Holidays
  • News events
  • Marketing activities
  • Technical changes

Correlation vs Causation

A change might not mean what you think:

  • Traffic up could be from bots
  • Bounce rate down could be from tracking change
  • Investigate before concluding

Comparison Best Practices

Apples to Apples

Ensure fair comparisons:

  • Same day count in both periods
  • Account for holidays in one period
  • Consider business cycles

Document Context

Note external factors:

  • Campaigns running
  • Site changes made
  • External events

Regular Cadence

Establish comparison routine:

FrequencyComparison
DailyYesterday vs day before
WeeklyThis week vs last week
MonthlyThis month vs last month
QuarterlyThis quarter vs last quarter
AnnuallyThis year vs last year

Troubleshooting

No Comparison Data

If comparison shows no data:

  • Check data exists for comparison period
  • Verify within retention limits
  • Try broader comparison period

Percentages Seem Wrong

If percentages look incorrect:

  • Verify both periods have data
  • Check for very small base numbers
  • Consider rounding effects

Chart Not Showing Both Lines

If only one line appears:

  • Both periods may have identical values
  • Check date range selection
  • Ensure comparison is enabled

Reporting with Comparisons

Executive Summaries

Include:

  • Key metric changes
  • Percentage movements
  • Context/explanation
  • Recommendations

Visual Reports

Use comparison charts for:

  • Board presentations
  • Client reports
  • Team updates

Regular Reports

Automate comparison reports (Scale+):

  • Weekly growth summary
  • Monthly performance review
  • Quarterly business review

Next Steps

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