Product Recommendations

Convert recent visitors into buyers by showcasing personalized product suggestions based on their browsing behavior and purchase history.

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What are Product Recommendations?

Product recommendations are marketing campaigns that can be run to target recent visitors or buyers 2-3 days after their site visit or purchase by suggesting products they viewed or complementary items. This conversion strategy uses browsing behavior and purchase data to deliver personalized product suggestions that increase order value and drive repeat purchases through relevant, timely recommendations.

Why It Matters

Challenges

Many shoppers browse or make a single purchase but never return to explore additional products. Without personalized nudges, these missed opportunities lead to lower conversion rates and stagnant order values.

Opportunities

By recommending relevant items based on a shopper’s behavior, brands can increase engagement and conversion rates. Personalized recommendations create a sense of value for the customer while helping businesses grow AOV and repeat purchases.

Outcomes

Higher Conversion Rates

Increased Average Order Value

Better Customer Discovery

Who is it for?

Audience

Users who visited or purchased products in the past 2-3 days, excluding customers who have already seen recent recommendation campaigns.

Exclusions

Customers who already purchased the recommended item, requested a refund, or are flagged as discount-only buyers.

How It Plays Out

A sample sequence for this use case.

day

2-3

"You might also like..." Based on your last visit, we picked these just for you → [Check Them Out]

day

"Still thinking? These pair perfectly with your recent purchase → [See Perfect Matches]"

day

"Trending now! Others who bought [product] also loved these → [Discover More]"

day

"Last chance to grab these personalized picks at full price → [Shop Your Picks]"

Best Practices

Send recommendations 2-3 days after site visits when browsing intent is still fresh but needs gentle encouragement.
Personalize suggestions based on actual viewed products rather than generic best-sellers to improve relevance.
Include social proof elements like "others who bought this also loved" to leverage crowd validation for recommendations.

Product Recommendations Examples & Prompts

Channel Examples

Copy

Subject: You might also like... Body: Based on your last visit, we picked these just for you. These pair perfectly with what you were browsing. [Check Them Out]

Copy

Loved your pick? These pair perfectly → Based on your recent purchase, we think you'll love these complementary items [See Perfect Matches]

Zenie Prompt for Segment

Building personalized recommendation campaigns manually takes time and effort. With Zenie, you don’t need to set up segments or map out nudges by hand. Just drop in a simple prompt, and ZEPIC automatically generates the journey for you.

Segment Prompt

Segment users who viewed or purchased products in the past 2-3 days

Copy

Journey Prompt

Trigger product recommendations based on recent activity. Highlight trending or complementary items.

Copy

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Explore Similar eCommerce Marketing Strategies

Upsell Recommendations

Encourage buyers to upgrade or bundle for higher order value.

See Details

Wishlist Nudges

Remind shoppers to act on saved items.

See Details

Low Stock Reminder

Create urgency and accelerate decision-making when inventory is limited.

See Details

FAQs

Why are product recommendations important in eCommerce?

Personalized recommendations are one of the most effective ways to increase conversions and revenue. They help shoppers discover relevant products, encourage repeat purchases, and improve the overall customer experience. For eCommerce brands, recommendations often translate directly into higher AOV and stronger LTV.

When should I send product recommendation messages?

The best time is typically within 2–3 days after a site visit or purchase, when interest is still fresh. Quick nudges work well for complementary products, while later reminders highlight trending or related items. Adjust the timeline based on your industry’s buying cycle.

Which products should I recommend?

The best recommendations are either complementary items (e.g., matching accessories), substitutes (e.g., a similar shirt in another color), or trending products in the same category. Avoid recommending items the shopper already purchased to keep the experience fresh and relevant.

How can I personalize recommendations across channels?

Consistency is key. Email allows for detailed product highlights and bundles, while WhatsApp delivers quick nudges and reminders. By aligning both, you reinforce the same message and maximize conversion opportunities.

Do product recommendations actually increase revenue?

Yes—product recommendations can account for a significant percentage of eCommerce revenue when done right. They improve discovery, boost cross-sell and upsell opportunities, and reduce reliance on discounts, contributing to higher repeat purchase rates and a stronger bottom line.