Seasons Report Documentation¶

Menu Location: Reports > Seasons Report

Access Level: Manager and above

Last Updated: 2026-03-01

Overview¶

Seasons Report provides comprehensive analytics comparing performance across different seasonal periods defined in Seasons Settings. This powerful reporting tool helps identify trends, plan inventory, allocate marketing budgets, and make data-driven business decisions based on seasonal patterns.

Primary Functions:

Compare revenue across seasons and years
Analyze customer acquisition by season
Track seasonal product performance
Identify year-over-year growth trends
Forecast future seasonal performance
Support strategic planning and budgeting

Page Layout¶

Report Filters:

Season selector (choose multiple seasons to compare)
Year range
Report type (summary, detailed, comparison)
Customer segment filters

Report Display:

Summary statistics table
Revenue comparison charts
Customer count by season
Top products per season
Year-over-year growth metrics
Downloadable charts and tables

Report Sections¶

Summary Statistics¶

Metrics Displayed:

Total Revenue: Sum of all order revenue in season
Order Count: Number of orders during season
Average Order Value: Revenue ÷ orders
Customer Count: Unique customers who ordered
New Customers: First-time customers acquired this season
Returning Customers: Customers who ordered in previous seasons
Customer Retention Rate: % of prior season customers who ordered again

Revenue Comparison¶

Visualizations:

Bar chart comparing revenue across seasons
Line graph showing revenue trend over time
Pie chart of revenue by product category per season
Growth percentage indicators

Customer Analysis¶

Data Provided:

Customer acquisition cost per season
Customer lifetime value by acquisition season
Retention rates seasonal vs. annual
Demographics of seasonal customers

Product Performance¶

Top Products per Season:

Best-selling products each season
Seasonal product mix changes
New product launches and success
Discontinued products impact

Common Use Cases¶

Use Case 1: Year-Over-Year Growth Analysis¶

Goal: Compare Fall 2025 to Fall 2024.

Steps:

Select "Fall 2024" and "Fall 2025" seasons
Run comparison report
Review revenue change: +$50K (+25% growth)
Analyze what drove growth (more customers, higher AOV, or both)
Use insights to forecast Fall 2026

Use Case 2: Seasonal Marketing ROI¶

Goal: Determine which season delivers best marketing return.

Analysis:

Run report for all four seasons
Compare new customer acquisition by season
Calculate marketing cost per season
Determine ROI: Summer highest with $5 marketing spend per $100 revenue
Allocate more budget to summer campaigns next year

Use Case 3: Inventory Planning¶

Goal: Forecast inventory needs for next summer.

Steps:

Compare last 3 summers
Identify consistent top products
Calculate average units sold per summer
Apply growth rate to forecast next summer
Order inventory 2 months before summer based on forecast

Use Case 4: Identify Seasonal Product Opportunities¶

Goal: Discover products to feature each season.

Analysis:

Run detailed product report for each season
Notice "Burger Patties" peak in Summer (4x other seasons)
"Soup Bones" peak in Winter (3x other seasons)
Create seasonal product bundles based on patterns
Feature relevant products in seasonal marketing

Use Case 5: Customer Retention Strategy¶

Goal: Improve retention of customers acquired during slow season.

Findings:

Winter-acquired customers have 40% lower retention
Summer-acquired customers have 60% retention
Hypothesis: Seasonal product fit or onboarding differences
Strategy: Improve winter customer onboarding, offer year-round products
Test with Winter 2026 cohort

Interpreting Results¶

What to Look For:

Positive Indicators:

Consistent or growing revenue year-over-year per season
Increasing customer counts
Improving retention rates
Rising average order value
Growing mix of new + returning customers

Warning Signs:

Declining revenue same season year-over-year
Decreasing customer counts
Falling retention rates
Over-reliance on single season for annual revenue
Shrinking average order value

Strategic Insights:

If one season dominates: Develop campaigns to boost slower seasons
If retention low: Invest in loyalty programs and customer service
If new customer acquisition declining: Increase marketing spend
If AOV dropping: Create bundles, upsell opportunities

Export Options:

CSV data download (all tables)
PDF report with charts
Chart images (PNG) for presentations
Raw data for custom analysis

Use Exports For:

Board presentations
Strategic planning meetings
Investor reports
Team performance reviews
Marketing budget justification

Best Practices¶

Regular reviews - Run seasonal reports monthly during season, full analysis end of season
Compare apples to apples - Always compare same season across years, not sequential seasons
Look for trends - Three-year data provides clearer patterns than single year
Segment analysis - Break down by customer type, region, product category
Action plans - Turn insights into specific action items with owners and deadlines

Quick Reference Card¶

Task	Action
Compare seasons	Select multiple seasons, run report
Year-over-year	Select same season from different years
Export data	Click Export CSV or PDF
View charts	Charts display automatically with data
Filter by product	Use product category filter
See customer details	Click through to customer segment reports

FAQs¶

How far back does historical data go?¶

Depends on when system implemented and seasons defined. Typically 2-5 years available.

Can I create custom date ranges?¶

Seasons must be predefined in Seasons Settings. For custom date ranges, use Orders Report with date filters.

Why do season totals not equal annual total?¶

If seasons don't cover full year or overlap, totals won't match. Ensure seasons cover 365 days with no gaps or overlaps.

Can I compare more than two seasons?¶

Yes, select up to 10 seasons for comparison. Useful for multi-year trend analysis.

How do I account for growing business?¶

Look at percentage growth, not just absolute numbers. Also review "same season last year" comparisons.

Should I include cancelled orders?¶

Typically no - reports show completed orders only. Configuration option may exist to include all orders.

End of Documentation

For additional help, contact your system administrator or Kiva Logic support.