🚶 4. User Journey Example & Use Cases

This section provides a practical, step-by-step example of the JaJuMa Auto Select Options extension in a real-world shopping scenario.
It demonstrates how the prioritized selection logic works to create an intelligent and seamless experience for your customers.

📝 4.1 Scenario: A Returning Customer Shopping for Apparel

For this example, assume the store has configured size and color as "Super Attributes" and has enabled the "Auto select first available option" setting.

Step 1: The First Visit & Initial Preference

A customer, John, visits the product page for the "Kenobi Trail Jacket."

• Action:
  Upon page load, the "First Available Option" rule is triggered, and the first available size and color are pre-selected.
• Customer Behavior:
  John interacts with the options and selects his actual preference: Size "L" and Color "Blue".
• Extension Logic:
  The extension immediately saves these choices to the browser's localStorage. Because size and color are Super Attributes, it remembers "L" and "Blue" as his global preferences. It also stores this specific combination for this particular jacket SKU.

Step 2: Discovering a New Product

John continues browsing and navigates to the "Proteus Fitness Jackshirt," a product he has never viewed before.

• Action:
  As the page loads, the extension checks its rules. The "Per SKU" rule doesn't apply since he hasn't visited this item. However, the "Super Attribute" rule finds a match.
• Customer Experience:
  The page loads with Size "L" and Color "Blue" already selected. The experience feels personalized and effortless, as if the store knows his preferences.

Step 3: A Different Use Case (Shopping for Someone Else)

Next, John visits the "Neve Studio Dance Jacket" page to buy a gift for his wife.

• Action:
  The extension initially applies his own "Super Attribute" preferences, selecting "L" and "Blue".
• Customer Behavior:
  John overrides this selection and chooses his wife's preference: Size "S" and Color "Orange".
• Extension Logic:
  The extension updates its stored data. The specific combination of "S" and "Orange" is now saved for the "Neve Studio Dance Jacket" SKU (the "Per SKU" rule). Simultaneously, his global "Super Attribute" preference is updated to his most recent selection: "S" and "Orange".

Step 4: The Power of Per-SKU Memory

John decides to go back to the "Proteus Fitness Jackshirt" to reconsider his own purchase.

• Action:
  The extension checks its rules again. Although his most recent global preference is "S" and "Orange", the extension finds a more specific rule that takes higher priority.
• Customer Experience:
  The "Per SKU" rule, which has the highest priority, recalls his original choice for this specific product.
  The page correctly re-selects "L" and "Blue".
  This demonstrates the intelligence of the selection hierarchy, which correctly distinguishes between a general preference and a specific product choice.

📈 4.2 Key Takeaways for Your Store

This user journey highlights several tangible business benefits provided by the extension:

• Reduced Friction:
  In steps 2 and 4, the customer did not have to re-select any options, reducing the number of clicks required to add the item to the cart.
• Enhanced Personalization:
  The store feels like it knows and remembers the customer's preferences, which increases engagement and can foster brand loyalty.
• Increased Conversion Rate:
  By making the purchasing process faster, more intuitive, and less repetitive, the extension helps guide customers more smoothly toward completing their purchase.

📞 Need Help?

Still have questions or need help with your configuration? Our expert team is here to assist. Please don't hesitate to contact our support team for personalized assistance.