5 use cases of Pleasepoint’s artificial intelligence applied in eCommerce

Personalization in eCommerce is crucial to improving the user experience and increasing conversions. Pleasepoint's artificial intelligence enables highly effective one-to-one recommendation strategies, adapting to each user's individual preferences and behaviors.

If you want to see a specific success story on the results of one-to-one personalization with Pleasepoint, here is the link to the Success story: One-to-one personalization with Condis customers.

In this post, we explore five use cases of Pleasepoint's AI to show you how one-to-one personalization transforms interactions in your eCommerce. These are the topics we will cover:

1. One-to-one on the home page.
2. Related products on PDPs.
3. One-to-one featured products on PLPs.
4. One-to-one sorting on PLPs.
5. Related products on the cart page.
6. Conclusion.

In the last post, we shared the benefits of one-to-one personalization (34 times more effective on average) during the real-time shopping experience in eCommerce, compared to traditional strategies of showing best-selling or trending products from recent days or hours.

If you’re interested in understanding how to implement one-to-one personalization in your eCommerce, here’s the link to the Technical guide to one-to-one personalization in your eCommerce with the Pleasepoint SDK.

1. One-to-one on the home page.

The home page of an eCommerce is the entry point for many users. Implementing one-to-one recommendations on the home page allows you to personalize the experience from the first interaction.

Objective: Increase visits to product detail pages (PDPs) and add-to-cart actions by offering more relevant products based on real-time behavior and the user’s purchase history if they are logged in.

Pilot: An A/B test is conducted to compare the results of Pleasepoint's one-to-one recommendation with the usual selection of products on the home page. The test may include different recommendation blocks to assess effectiveness.

Results and benefits:

• Average 35% increase in visits to product pages.
• Average 24% increase in add-to-cart actions.
• Average 17.7% increase in conversion.
• Automation of product selection on the home page, reducing manual workload.

If you’re interested in implementing this use case, here’s the link to schedule a session with our eCommerce specialists.

2. Related products on PDPs.

Showing related products on product detail pages (PDPs) is an effective strategy to increase user interaction and cross-sales.

Objective: Increase visits to other PDPs and add-to-cart actions by offering similar and/or complementary products based on the main product and the user's real-time behavior.

Pilot: An A/B test is conducted to validate the results of Pleasepoint's item-to-item recommendation on PDPs, compared to the usual selection of related products.

Results and benefits:

• Average 30% increase in visits to product pages.
• Average 54% increase in add-to-cart actions.
• Average 6.2% increase in conversion.
• Automation of related product selection, optimizing relevance and user experience.

Want to implement this use case? Here’s the link to schedule a session with our eCommerce specialists.

3. One-to-one featured products on PLPs.

Product listing pages (PLPs) can greatly benefit from one-to-one personalization, highlighting relevant products for each user.

Objective: Increase visits to PDPs and add-to-cart actions by offering personalized featured products based on real-time behavior and the user’s purchase history, if they are logged in.

Pilot: An A/B test is conducted to validate the results of Pleasepoint's one-to-one recommendation as featured products on PLPs.

Results and benefits:

• Average 32% increase in visits to product pages.
• Average 39% increase in add-to-cart actions.
• Average 11.6% increase in conversion.
• Automation of featured product selection on PLPs, improving relevance and efficiency.

Implement this use case with the support of our eCommerce specialists.

4. One-to-one sorting on PLPs.

Personalized product sorting on PLPs can significantly enhance the user experience and increase conversions.

Objective: Increase visits to PDPs and add-to-cart actions by offering products sorted in a relevant manner based on real-time behavior and the user’s purchase history, if they are logged in.

Pilot: An A/B test is conducted to validate the results of one-to-one product sorting on PLPs, considering filters applied by the user.

Results and benefits:

• Average 41% increase in visits to product pages.
• Average 46% increase in add-to-cart actions.
• Average 9.4% increase in conversion.
• Automation of product sorting on PLPs, adapting to user preferences.

Start implementing one-to-one personalization now by scheduling a session with our eCommerce specialists.

5. Related products on the cart page.

The cart page is a critical point in the purchase process. Offering related products can increase the average ticket size and the number of items purchased.

Objective: Increase average ticket size and the number of products purchased by offering relevant products based on cart content, real-time behavior, and user history.

Pilot: An A/B test is conducted to validate the results of Pleasepoint's one-to-one recommendation compared to the products selected for the cart by the eCommerce.

Results and benefits:

• Average 9% increase in average ticket size.
• Average 21% increase in the number of products added to the cart.
• Automation of product selection in the cart, improving relevance and facilitating purchase decisions.

Here’s the link to schedule a session with our eCommerce specialists and start implementing this use case.

Conclusion.

Implementing one-to-one user experience personalization with Pleasepoint’s artificial intelligence across different eCommerce pages has a significant impact on user interaction and key business KPIs.

From the home page to the cart, personalization based on a reinforcement learning neural network improves the relevance of displayed products, increases visits to product pages, add-to-cart actions, and ultimately, sales conversions.

Automating product selection and sorting not only optimizes the user experience but also reduces manual workload, allowing marketing teams to focus on higher-value, less repetitive tasks.

With Pleasepoint, real-time personalization becomes a powerful tool for any eCommerce looking to stand out in a competitive market and foster long-term customer loyalty.

Download our eBook Introduction to one-to-one marketing and learn how to execute a hyper-personalized strategy based on each customer's lifecycle and preferences. It's never been easier to start hyper-personalizing and increasing the performance of your marketing efforts.