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Recipe | Autumn / Winter 2024 Season Customer Management | Shopify
Recipe | Autumn / Winter 2024 Season Customer Management | Shopify

Recipe | Autumn / Winter 2024 Season Customer Management | Shopify

Updated At:
Aug 23, 2024

Recipe Overview

  • This template/recipe is for stores, such as apparel brands, that manage customers seasonally.
  • Distinguish customers as "new" or "repeat" based on whether they made purchases before the start of each season.
  • Further segment customers into those who made multiple purchases within the season and those who made only one purchase.

How to Use

  • Real-Time Management: Create this segment group before each season starts to manage seasonal progress in real time.
  • Historical Comparison: Create data for past seasons under the same conditions to evaluate the current season’s progress.
  • Maximize Sales: Implement targeting strategies for customer segments with only one purchase within the season to maximize sales.
  • Product Analysis: Analyze which products are purchased by customers who made multiple purchases within the season using insights such as "most purchased products."
  • Post-Season Review: Use insights to analyze data from each segment after the season ends to plan merchandising strategies for the same season next year.

Segment Settings

Listed in the order created in ECPower. In ECPower, segments are displayed in descending order by creation date (as of Aug 2024).

🌎 All Customers

  • Segment Name: 🌎 All Customers
  • Description: Includes all customers.
  • Condition Settings: Customers with at least 1 purchase.
  • Tips: This segment includes:
    • 🌎 All Customers = 🔥 24AW New Customers + 🏅 24AW Repeat Customers + 👻 24AW Non-Purchasers

Create this segment in ECPower

👻 24AW Non-Purchasers/No Previous Season Purchase

  • Segment Name: 👻 24AW Non-Purchasers/No Previous Season Purchase
  • Description: Customers who did not make a purchase in the 23AW season and did not purchase in the 23SS season.
  • Condition Settings: Customers whose last purchase date is on or before August 31, 2023.

Create this segment in ECPower

👻 24AW Non-Purchasers/Previous Season Purchasers

  • Segment Name: 👻 24AW Non-Purchasers/Previous Season Purchasers
  • Description: Customers who did not make a purchase in the 24AW season but purchased in the 23SS season.
  • Condition Settings: Customers whose last purchase date is between September 1, 2023, and March 31, 2024.

Create this segment in ECPower

👻 24AW Non-Purchasers

  • Segment Name: 👻 24AW Non-Purchasers
  • Description: Customers who did not make a purchase in the 24AW season.
  • Condition Settings: Customers whose last purchase date is on or before March 31, 2024.
  • Tips: This segment includes:
    • 👻 24AW Non-Purchasers = 👻 24AW Non-Purchasers/Previous Season Purchasers + 👻 24AW Non-Purchasers/No Previous Season Purchase

Create this segment in ECPower

🏅 24AW Repeat Customers/2+ Purchases in Season

  • Segment Name: 🏅 24AW Repeat Customers/2+ Purchases in Season
  • Description: Customers who existed before the 24AW season and made 2 or more purchases during the 24AW season.
  • Condition Settings: Customers with a total purchase count (F) of 2 or more, with purchase dates between September 1, 2024, and March 31, 2025.

Create this segment in ECPower

🏅 24AW Repeat Customers/1 Purchase in Season

  • Segment Name: 🏅 24AW Repeat Customers/1 Purchase in Season
  • Description: Customers who existed before the 24AW season and made 1 purchase during the 24AW season.
  • Condition Settings: Customers with a total purchase count (F) of 1, with purchase dates between September 1, 2024, and March 31, 2025.

Create this segment in ECPower

🏅 24AW Repeat Customers

  • Segment Name: 🏅 24AW Repeat Customers
  • Description: Customers who existed before the 24AW season and made purchases during the 24AW season.
  • Condition Settings: Customers with a total purchase count (F) of 1 or more, with purchase dates between September 1, 2024, and March 31, 2025.
  • Tips: This segment includes:
    • 🏅 24AW Repeat Customers = 🏅 24AW Repeat Customers/1 Purchase in Season + 🏅 24AW Repeat Customers/2+ Purchases in Season

Create this segment in ECPower

🔥 24AW New Customers/2+ Purchases in Season

  • Segment Name: 🔥 24AW New Customers/2+ Purchases in Season
  • Description: New customers in the 24AW season with 2 or more purchases.
  • Condition Settings: Customers whose first purchase date is between September 1, 2024, and March 31, 2025, with a total purchase count (F) of 2 or more, and purchase dates within the same period.

Create this segment in ECPower

🔥 24AW New Customers/1 Purchase in Season

  • Segment Name: 🔥 24AW New Customers/1 Purchase in Season
  • Description: New customers in the 24AW season with 1 purchase.
  • Condition Settings: Customers whose first purchase date is between September 1, 2024, and March 31, 2025, with a total purchase count (F) of 1, and purchase dates within the same period.

Create this segment in ECPower

🔥 24AW New Customers

  • Segment Name: 🔥 24AW New Customers
  • Description: All new customers in the 24AW season.
  • Condition Settings: Customers whose first purchase date is between September 1, 2024, and March 31, 2025, with a total purchase count (F) of 1 or more, and purchase dates within the same period.
  • Tips: This segment includes:
    • 🔥 24AW New Customers = 🔥 24AW New Customers/1 Purchase in Season + 🔥 24AW New Customers/2+ Purchases in Season

Create this segment in ECPower

🌎 24AW Season Purchasers

  • Segment Name: 🌎 24AW Season Purchasers
  • Description: All customers who made purchases in the 24AW season.
  • Condition Settings: Customers with at least 1 purchase and purchase dates between September 1, 2024, and March 31, 2025.
  • Tips: This segment includes:
    • 🌎 24AW Season Purchasers = 🔥 24AW New Customers + 🏅 24AW Repeat Customers

Create this segment in ECPower

Author
ECPower Product Manager

Edited and supervised by Product Manager of ECPower - Shopify Customer Segment & Journey Management, supporting Shopify merchants' CLV growth, CRM strategy and data analytics.

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