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OnVoard: Product Recommender
Boost sales with personalized product recommendations and social proof integration.
Personalized recommendations
Social proof integration
Plug-and-play setup
Product upsell options
Meta labels display
Diverse recommendation logics
About OnVoard: Product Recommender
Categories
Built by OnVoard
Description
Frequently Bought Together, Recently Viewed
- 14 Recommendation Logics - Plenty of product recommendation options to help you showcase related products.
- Product Upsell - Use logic like frequently bought together for product upsell and boost average order value.
- Social Proof Personalization - Generate more sales by adding social proofs to personalize product recommendations.
Why choose OnVoard Product Recommendation
1) Meta Labels
The number one differentiation is that our product recommendations come with an option to display meta labels. Meta labels like "25% of customers bought this together" serves as social proofs to convince customers WHY they should add the product to cart.
Below are some examples:
- Frequently Bought Together: 25% of customers bought this together
- Also Bought: 7.6X more likely to buy
- Selling Out Soon: 3 units left
- New Arrivals: Added 5 hours ago
- Recently Sold: Last Sold 3 hours ago
- Recently Viewed: Last Viewed 5 mins ago
2) 14 Types of Product Recommendations
Gain access to our rich library of product recommendations. Each personalized recommendations can be easily set up in a plug-and-play manner.
Below are types of product recommendations that we provide.
- Frequently Bought Together
- Also Bought
- Similar Items
- Recently Viewed
- Handpicked Items
- Best Selling
- Trending
- Selling Fast
- Selling Out Soon
- New Arrivals
- Discounted Items
- Top Rated
- Recently Sold
- Recently Reviewed
1) Meta Labels
The number one differentiation is that our product recommendations come with an option to display meta labels. Meta labels like "25% of customers bought this together" serves as social proofs to convince customers WHY they should add the product to cart.
Below are some examples:
- Frequently Bought Together: 25% of customers bought this together
- Also Bought: 7.6X more likely to buy
- Selling Out Soon: 3 units left
- New Arrivals: Added 5 hours ago
- Recently Sold: Last Sold 3 hours ago
- Recently Viewed: Last Viewed 5 mins ago
2) 14 Types of Product Recommendations
Gain access to our rich library of product recommendations. Each personalized recommendations can be easily set up in a plug-and-play manner.
Below are types of product recommendations that we provide.
- Frequently Bought Together
- Also Bought
- Similar Items
- Recently Viewed
- Handpicked Items
- Best Selling
- Trending
- Selling Fast
- Selling Out Soon
- New Arrivals
- Discounted Items
- Top Rated
- Recently Sold
- Recently Reviewed
Pros
- Provides a comprehensive set of 14 recommendation logics, allowing for diverse and personalized product recommendations
- Enhances sales through product upsell features like 'Frequently Bought Together' to boost average order value
- Integrates social proof personalization to increase sales, with meta labels like '25% of customers bought this together' to encourage purchases
- User-friendly setup with easy plug-and-play functionality for personalized recommendations
- Includes meta labels that provide additional information and create urgency, such as 'Selling Out Soon' and 'New Arrivals'
Cons
- Potential reliance on meta labels may not work effectively if customer data or purchase behaviors are not accurately tracked
- The effectiveness of recommendations may vary depending on the industry and specific customer demographics
- Some users may find the multitude of recommendation types overwhelming if not clearly organized in the backend
- If integration with existing systems is complex, initial setup might be time-consuming for some users
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