Use cases for filtered blocks

Filtered blocks let you display content dynamically based on external conditions like time or store-wide metrics. By using General Filters, you can ensure your store always displays the most relevant content to your audience. Here are some practical use cases:


Time-Sensitive Promotions

  • General Filter: Date and Time Range (e.g., December 1–25).

  • Example Block: Announcement Banner with β€œHoliday Sale! Enjoy 20% Off All Items Until December 25.”

  • Why It Works: Automatically schedules promotions to appear and expire, ensuring timely and relevant messaging.


Daily Deals

  • General Filter: Days of the Week (e.g., every Friday).

  • Example Block: Image Banner displaying β€œFriday Flash Sale! Exclusive Deals on Select Items.”

  • Why It Works: Keeps customers engaged with consistent, recurring promotions.


Seasonal Content

  • General Filter: Date Range + Seasonal Campaigns.

  • Example Block: Product Collection Block showcasing seasonal items like winter clothing or summer accessories.

  • Why It Works: Ensures content is aligned with seasonal trends, boosting relevance and sales.


Special Announcements

  • General Filter: Start and End Date-Time (e.g., 9:00 AM to 5:00 PM).

  • Example Block: Announcement Banner with β€œFlash Sale! Ends at 5 PM Today.”

  • Why It Works: Creates urgency and drives immediate action with time-sensitive messaging.


Future Planned Features: Metrics-Based Filters

(Planned feature coming soon to General Filters)

  • General Filter: Store Metrics (e.g., Revenue above $10,000 today).

  • Example Block: Featured Products Block highlighting bestsellers.

  • Why It Works: Leverages real-time store data to display relevant content, maximizing engagement during peak performance periods.


Why Use Filtered Blocks?

  • Dynamic Scheduling: Automatically manage block visibility without manual intervention.

  • Increased Relevance: Display content at the right time, ensuring better customer engagement.

  • Enhanced Store Management: Use data-driven filters to optimize the shopping experience and boost conversions.

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