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According to a survey conducted by Accenture, 41% of consumers switched brands last year over a lack of trust and poor personalization.1
In another report, 71% of shoppers surveyed admitted to being frustrated by shopping experiences that were impersonal.2
Personalization, when done right, significantly reduces shopper effort, leading to improved engagement, and increased revenues. One way to personalize the user experience is through using highly contextual 1:1 recommendations.
Recommendations are a great way to serve the needs of users who don’t necessarily know what they’re looking for. But, implementing recommendations effectively should not be limited to the top companies. For most growth and marketing teams, setting up recommendations is tedious and heavily dependent on tech teams.
Traditional marketing stacks limit the ability of marketers to use personalization effectively. Marketers are lost in the maze of tools, siloed data, and are heavily dependent on data science teams for insights.
With our tools, you can get recommendations up and running in the space of a coffee break. Start personalizing your campaigns with highly relevant product suggestions without needing technical assistance.
Our Recommendation Engine is powered by an advanced data science algorithm designed to provide relevant and novel recommendations. At their core, the recommendations provided are contextual, real-time, and personalized to each user.
Let’s look at some of the use cases that you can quickly implement with our product recommendations.
There are numerous ways that customers get distracted from purchasing items already in their carts. Supercharge your cart abandonment campaigns with similar items that are also on discount, along with the usual reminder to purchase the abandoned items.
Campaign Trigger: Product added to cart but not purchased
Recommendation Rule: Products Purchased Together or Viewed Together
Benefit: Offering exciting options on low prices to users brings them back to complete the abandoned purchase as well as buy additional products. This results in increasing conversions as well as the AOV.
Move users to purchase with in-app notifications triggered when users add products to their wishlist. Recommend similar products that are available on discount to incentivize a purchase in the moment.
Campaign Trigger: Add to Wishlist
Recommendation Rule: Products Viewed Together
Benefit: Provide value now and give users instant gratification by offering them the most relevant products in the moment of truth.
Keep users coming back to the platform to consume more content by recommending titles they are likely to watch.
Campaign Trigger: Last App Launch before 7 days
Recommendation Rule: Content Watched Together
Benefit: High level of engagement with your offering is a key determinant of long-term user retention.
Offerings on travel apps can be classified into high involvement (holiday package) and low involvement categories (flight ticket). For the former, assist users by recommending packages in the moment of consideration.
Campaign Trigger: Holiday Package Searched / Viewed
Recommendation Rule: Packages Booked Together
Benefit: Guiding users towards booking the right holiday package during the consideration phase enhances the purchase experience for users.
Users often need assistance to explore the breadth and depth of your entire catalog. Use search abandonment campaigns as an opportunity to showcase the catalog diversity.
Campaign Trigger: Products searched but not purchased
Recommendation Rule: Products searched together
Benefit: Assisted product discovery opens new avenues for users to explore new categories or products that they would not chance upon by themselves.
The future belongs to brands that curate experiences that keep customers returning. To improve the customer experience, brands are using personalization to let them know they are truly valued.
Explore more such use-case in the Playbook: Engagement with Product Recommendations for Ecommerce Brands. It covers how our Engagement with Product Recommendation capability helps brands personalize customer experience. Along with real life use cases, recommendation strategies will help growth teams build successful brands that nurture retention.
Engagement with Product Recommendations for Ecommerce Brands