Trending Products Recommendations

This Recommendations widget highlights items gaining momentum in your store by analyzing changes in customer engagement over time.

Tracking Popularity Growth

We track daily product view counts over a two-week period, prioritizing recent activity:

• Daily view count changes are calculated
• Recent trends carry greater weight
• Products are ranked based on growth patterns, not just total views

Delta Ranking Methodology

We compare products based on recent engagement:

Example:

Product A Daily Views: 10, 8, 6, 4, 4, 5 (most recent to oldest)

Product A Daily Change: +2, +2, +2, 0, -1

Product B Daily Views: 15, 15, 16, 14, 15 (most recent to oldest)

Product B Daily Change: 0, -1, +2, -1

Even though Product B has more total views, Product A demonstrates consistent growth. Our ranking prioritizes upward momentum.

Popularity Ranking Methodology

We apply a weighted view system to assess sustained interest:

Example:

Product A Daily Views: 10, 10, 10, 10, 10, 50 (most recent to oldest)

Product B Daily Views: 50, 10, 10, 10, 10 (most recent to oldest)

Days Weight: 1, 0.5, 0.25, 0.125, 0.0625 (most recent to oldest)

Though both products have 90 total views, Product A has 21.875 weighted views, while Product B has 58.8125 weighted views - making Product B rank higher.

Balanced Selection Criteria

We ensure accurate trend detection by considering:

• Growth Rate (Delta Ranking): How quickly a product gains views
• Baseline Popularity (Popularity Ranking): Weighted view totals over 14 days

This balanced approach ensures:

• Genuine trending products are featured
• Items with erratic low-view data are filtered out
• Reliable trends are surfaced based on substantial data

By leveraging these methodologies, our system helps customers discover products that are truly gaining traction in your store.