How benchmarks are computed?

Created by Shopalyst Manager, Modified on Thu, 12 Mar at 5:26 PM by Shopalyst Manager

Benchmarks allow you to compare your current performance against historical data. By selecting a benchmark, PRISM calculates the Percentage Change (%) and Delta (Δ) between your current date range and a previous period. 


Benchmark OptionWhat it doesBest for...
Preceding PeriodCompares your selection to the immediate previous block of days.Momentum: Understanding if you are doing better this week than you were last week.
Same Period Last YearCompares your selection to the exact same dates one year ago.Seasonality: Comparing holiday sales or seasonal trends while ignoring month-to-month fluctuations.
YTD (Year to Date)Compares your selected period against the cumulative data starting January 1st.Pacing: Seeing how your current month contributes to your total annual goals.
Previous YearCompares your current selection against the entire previous calendar year (Jan 1 – Dec 31).High-Level Growth: Seeing how your current performance stacks up against last year's total average.


Real-World Examples

1. Tracking Short-Term Growth

Scenario: You are running a 14-day marketing campaign from Feb 1 – Feb 14, 2026.

  • Benchmark: Preceding Period

  • Comparison Dates: Dec 18, 2025 – Jan 31, 2026 (The 14 days immediately prior).

  • The Goal: To see if the campaign caused a "spike" compared to the two weeks before it launched.

2. Evaluating Seasonal Trends

Scenario: You want to analyze performance for December 2025.

  • Benchmark: Same Period Last Year

  • Comparison Dates: Dec 1, 2024 – Dec 31, 2024.

  • The Goal: To see if this year’s holiday performance was stronger than last year’s, accounting for the fact that December is always busier than November.

3. Analyzing Annual Pacing

Scenario: You are reviewing Q1 results (Jan 1 – Mar 31, 2026).

  • Benchmark: Previous Year

  • Comparison Dates: Jan 1, 2025 – Dec 31, 2025.

  • The Goal: To see if your current quarterly "run rate" is higher or lower than your total performance across all of last year.


Pro-Tips for Accurate Analysis

  • Day-Count Parity: When using Preceding Period, PRISM automatically calculates the exact number of days in your current selection and looks back that same number of days to ensure a fair "apples-to-apples" comparison.

  • The Weekend Effect: When comparing small windows (like 3 days), remember that consumer behavior changes on weekends. Use Same Period Last Year to ensure you are comparing similar days of the week.

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