Expert Answer • 2 min read

Should I create a Mother's Day bestseller collection based on last year's data?

A Shopify merchant has historical sales data from previous Mother's Day seasons and wants to use it to build a curated bestseller collection for this year. They need guidance on how to analyze and apply the data, whether last year's bestsellers reliably predict this year's performance, and how to supplement data-driven curation with current trend information.
Muhammed Tüfekyapan

Muhammed Tüfekyapan

Founder & CEO

2 min

TL;DR - Quick Answer

Historical Mother's Day bestsellers are strong predictors of current-year performance, with top 5 products from last year converting at 60-70% of their previous rates on average. Export last year's Mother's Day sales by product from Shopify Analytics, sort by revenue and units sold, take the top 10-15 items, and verify they are still in stock and not discontinued. Supplement with 2-3 new items that match current gift trends to keep the collection fresh while anchoring it in proven performers.

Complete Expert Analysis

Using Last Year's Data to Build a Mother's Day Bestseller Collection

Historical sales data reduces the guesswork in seasonal merchandising. Mother's Day gift purchases are driven by consistent buyer psychology and product category preferences that change slowly year over year. Using prior-year data as the foundation for this year's collection is a lower-risk strategy than curating based on current feelings about which products will perform.

Data Extraction Process

  • Step 1 - Go to Shopify Analytics, set date range to the 3-week window before last Mother's Day, and export Sales by Product report.
  • Step 2 - Sort by total revenue descending, then by units sold descending to identify volume versus high-ticket performers.
  • Step 3 - Cross-reference top 20 products with current inventory levels, verifying each is in stock and available for the full campaign window.
  • Step 4 - Remove any discontinued items and fill gaps with similar new products that match the category and price point of the removed items.

Balancing Historical Data with Current Trends

Collection CompositionRecommended Split
Proven bestsellers from prior year70%
New products matching proven categories20%
Trend-forward items to test this season10%

Growth Suite: Product Report

Growth Suite Product Report shows real-time product performance data including views, add-to-cart rate, and conversion rate segmented by time period. Compare current-season performance against the same period last year to identify which historical bestsellers are tracking to repeat their performance and which may need repositioning or promotional support to match prior results.

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Muhammed Tüfekyapan

Muhammed Tüfekyapan

Founder & CEO of Growth Suite

With over a decade of experience in e-commerce optimization, Muhammed founded Growth Suite to help Shopify merchants maximize their conversion rates through intelligent behavior tracking and personalized offers. His expertise in growth strategies and conversion optimization has helped thousands of online stores increase their revenue.

E-commerce Expert Shopify Partner Growth Strategist

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