More connections – greater relevance
Why should you use Raptor personalization in combination with your Shopify CMS?
Raptor uses advanced algorithms, data mining, and machine learning to create behavioral recommendations. Our platform learns and recognizes each individual user and their interactions – making marketers able to empower relevant communication based on consumer behavior through email.
Raptor’s personalization engine seamlessly integrates with Shopify. There is no need to change CMS, Raptor can help you get the most out of Shopify by personalizing by using personalized product recommendations on your website.
Setup product catalog import (shopping feed)
Setup website tracking
Implement modules on the right pages
You are ready
Save time and manual processes choosing products
Automatically deliver personalized communication
Deliver real-time & up-to-date recommendations
Improve KPI’s & Drive Sales
Improve conversion rates
Increase Revenue Per Visit
Increase time spent on your site by delivering relevant communication
Show dynamic product recommendations that are based on your visitor’s behavioral patterns which means that all products are tailored to each of your subscribers.
Utilize 10 different machine-learning algorithms that are proven to increase sales, conversion rates, and overall engagement.
If the specific product that the customer is looking at is not what you want, then it is important to show other options that are reminiscent of the product.
The focus should therefore be on assisting the individual conversion, which is done by showing alternatives that may be more relevant than the product seen.
If a user enters a category page, the mission is to get the user to click on a product.
You might have previous behavioral patterns that can decide what products to recommend, but if you don’t, then you can recommend the most popular products within the category to inspire the user.
You have one last chance to increase the basket size, but you must also be careful and focus on the most important thing, which is that the customer converts.
A module with related products, which is most often purchased with the products in the basket is the right choice. Avoid showing similar products to the contents of the basket as it will create doubt and you risk missing the conversion.
In the power-step feature, you can choose to recommend products that are related to the specific product that has been added to the basket.
The power-step is great to increase the average order value, and quickly show the user relevant products to the product(s) already added to the basket.
Generate a list of complementary and relevant products that customers often view with a specific content category.
You can also use this the other way around to recommend content on product pages.
Make it easy for your customer to repurchase, and recommend personalized based on their previous purchases and behavioral patterns in order to increase their average order value.