Product Recommendations
Algorithmically suggested products based on browsing and purchase history.
Algorithmically suggested products based on browsing and purchase history.
Why It Matters
Product recommendations can drive 10-30% of total ecommerce revenue and significantly increase AOV through cross-sells.
Practical Example
Scenario
A home goods store adds 'Complete the Look' recommendations on product pages.
Calculation
1,000 orders/month × $85 AOV = $85,000. With recommendations adding $15 per order: $100,000Result
18% increase in AOV, adding $15,000/month in revenue from recommendation-influenced purchases
Pro Tips
- 1Test recommendation placement—below add-to-cart often outperforms sidebar positioning
- 2Use 'bought together' for cross-sells and 'similar items' for alternatives strategically
- 3Exclude items customers already own using purchase history data
Common Mistakes to Avoid
Frequently asked questions
Put it to work
Related Terms
Free Calculator
See what a small lift in conversion rate or order value is worth.
Enter traffic, conversion rate and average order value. See the extra revenue and profit a lift in either one adds each month. Calculator results are available without an account.
Free calculator · Instant results
You'll talk directly to the people doing the work.
7.7x blended return at scale — seven figures attributed, across five straight quarters · Modern Prairie · Apr 2025–Jun 2026 Read the Modern Prairie case study
