Push Notifications are indispensable for eCommerce today. Push campaigns that serve different purposes can increase the conversion rate considerably since they are campaigns that directly reach the customer.
Push Recommendation campaigns offer the opportunity to send personalised push notifications for any period of time with Segmentify algorithms.
Smart Offers algorithm is used by default for this campaign. In this campaign, the birth data of all users who have permitted at the time selected from the panel are checked to see if they have birthday data. On the day of the user's birthday, the campaign is implemented.
Top Sellers scenario sends the top seller products in the store. It aims to show the most popular products to visitors and direct them to purchase these items. The scenario works for visitors who have viewed at least one product in the last week.
This algorithm works for the newly registered visitors, aiming to convert them to customers by completing their purchases.
1st Push: In this push notification, a randomly selected product will be displayed among the products added to the cart.
2nd Push: This push reminds the shopper of the last product the customer added to the cart.
3rd Push: With the Alternative Products algorithm, the alternative product of the last product added to the basket will be sent.
4th Push: If there is still no purchase, the coupon code will be sent at the last push. There is also a popup option here that will show the coupon code on the page when the end-user goes to the website after clicking on the push notification.
The Last Visit Alternatives scenario works when a visitor views a product and leaves the website without any basket action. For these visitors, the most related products are recommended after a specific period. The Personalised Alternative Products algorithm works here. It offers visitors the best products based on their browsing history.
Smart Offers: A personalised machine learning algorithm that recommends products based on best-matching categories and behaviour of the current visitor during the last visit.
Top Sellers: An algorithm that recommends the top-selling products from the current product category or category of current product or the overall e-commerce site.
New Arrivals: A machine learning algorithm that recommends new arrivals from the e-commerce site.
Last Visited: An algorithm that reminds visitors of all products they have visited during their lifetime on all platforms of the online shop.
Last Purchased: An algorithm that recommends the last products visitors have purchased in their last session.
Spotlights: A machine learning algorithm that intelligently sorts all the products on an e-commerce site.
Discounted Products: An intelligent algorithm that catches the price drops of all products and recommends them to the customers.
Predefined Products: A straightforward algorithm that recommends the products pre-defined for each product.