One of the most effective ways to increase online store revenue isn’t by guessing what customers want—it’s by learning from what they’ve already purchased. The Magento 2 who bought this also bought approach taps into proven purchase data to make intelligent product suggestions that feel relevant and timely.
Instead of showing generic “related items,” this method uses real customer buying patterns to recommend products that other shoppers have historically purchased together.
Why Real Purchase Data Beats Random Suggestions
Generic upsell blocks often miss the mark because they rely on fixed product associations set by store admins. In contrast, who-bought-this-also-bought logic uses historical transaction data to reveal natural product pairings.
For example:
- A customer buying a DSLR camera might also purchase a memory card, protective case, and tripod.
- A shopper adding a scented candle could be interested in matching home décor or an oil diffuser.
Because these suggestions are based on actual purchase behavior, they are far more likely to resonate with customers and lead to a sale.
How It Shapes the Customer Experience
A smart recommendation engine does more than boost sales—it improves the overall shopping journey:
- Saves Time for Shoppers: Customers see relevant add-ons instantly instead of searching for them manually.
- Inspires Additional Purchases: Suggested items can spark ideas for complementary products a shopper didn’t initially consider.
- Enhances Perceived Value: Bundled or suggested products often feel like a curated experience rather than a sales tactic.
Practical Ways to Use Who Bought This Also Bought in Magento 2
To get the most from this approach, store owners can:
- Place Recommendations Strategically: Show “also bought” suggestions on product pages, in the cart, or even on CMS landing pages.
- Combine with Bundling: Offer pre-packaged sets of frequently bought together items at a small discount to increase order size.
- Leverage Seasonal Trends: Update recommendations before holidays or peak shopping seasons to reflect current buying behavior.
- Filter Out Low-Value Items: Ensure the recommended products are in stock and provide a meaningful upsell.
From Insight to Revenue Growth
The beauty of this method is that it works quietly in the background. Once set up, the recommendation rules use ongoing purchase data to update themselves, meaning your store’s cross-sell strategy stays fresh without constant manual input.
Over time, this not only increases average order value but also builds a sense of trust with customers—they see recommendations that make sense, not random add-ons.
Final Thought: By adopting a data-driven Magento 2 who bought this also bought strategy, online retailers can blend analytics and customer experience into a powerful conversion tool. When done right, it’s not just about selling more—it’s about creating a smarter, more intuitive shopping experience.