Super Affinity is a balanced score composed of attributes of products a visitor engages with. Brand, color, and price range are common examples, but taking advantage of less frequently used attributes, such as sustainability ratings, enables creating truly individualized shopping experiences.

View this video to see Frosmo CEO Mikael Gummerus demonstrate how to use Super Affinity to create a hyper-personalized experience based on each shopper’s unique interests.

Track visitor behavior across the shopping funnel

• Phase in the shopping funnel
• Products viewed and bought
• Affinity

Gather contextual and statistical data

• Visitor device and location
• Popular and trending products on the site
• Products bought together
• Affinity groups

Personalize customer journeys

• Personalization for new visitors
• Relevant product recommendations
• Complementary products
• Similar products

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Start personalizing with a well-thought set of features

The Frosmo Platform is integrated into your site through a single line of code, “the Frosmo tag”. Frosmo Quick Start is a set of preconfigured platform features that serve as a tried-and-tested starting point for your personalization journey, mitigating any cold-start problems. 

The platform immediately starts collecting data relevant to your KPIs, such as visitor affinities and other contextual and behavioral data. In time, you can use the data to learn more about your visitors and enrich the visitor data in your other systems.

The setup also provides you with templates for recommendations and other content modifications, as well as segments for creating target audiences, to immediately start personalizing and optimizing your site. 

Personalize for different audiences and phases of the shopping funnel

Once the visitor data starts building up, you can tweak and create more target audiences and recommendation strategies. 

Using the Frosmo Platform, you can either create visitor segments manually, or base your target audiences on automated affinity groups. The audiences are based on contextual data (traffic source, visitor device and location, how other visitors interact with your site and products) and behavior data (new vs. repeat visitors, products viewed and bought, phase in the shopping funnel).

A recommendation strategy defines the algorithms and other settings that together determine which products are displayed to a visitor. Frosmo recommendation strategies are based on a robust set of algorithms. Some common ecommerce recommendation strategies include:

• Popular products on the site
• Popular products in the category
• Products viewed/bought by others
• Similar products
• Complementary products

Together, well-thought target audiences and best-in-class recommendation strategies ensure that you’re showing relevant recommendations to each visitor at the right phase of the shopping funnel.

Experiment, personalize, and optimize

While the Frosmo Platform relies on a set of APIs for communication and processing of data, it also provides an intuitive user interface, the Frosmo Control Panel, that gives you access to the Frosmo features. When you make changes in the Control Panel, they are reflected in the Frosmo script for your site.

In a nutshell, the Control Panel allows you to:

• Configure how the platform personalizes the user experience of a site.
• Create target audiences based on affinity and manual segmentation.
• Create and modify recommendation strategies based on a robust set of algorithms.
• Set up A/B tests and automated optimization for your site.
• Monitor how well the modifications and segmentation perform on your site.