Frosmo

Online stores that want each shopper to see different pages and product lists can use Frosmo's software, which the company describes as an AI-driven personalization engine. Frosmo says it builds a profile for every visitor from their browsing behavior, collecting data each time someone interacts with the website so the experience can be shaped to that person as they go.

Profiles built from each visitor's browsing

The company's central idea is that a website should respond to the individual rather than showing everyone the same content. Frosmo says its profiles are created automatically from what a visitor does on the site, and that these profiles keep changing as the visitor browses. The business is aimed at ecommerce companies, including those that run headless commerce and headless content management setups.

Recommendations that follow real-time behavior

Recommendations are the core of the product. Frosmo says its AI creates product suggestions from contextual signals and real-time behavioral data, so the suggestions reflect what a visitor is looking at in the moment rather than a fixed list. The company says these recommendations work at each step of the customer journey, with the aim of helping buyers choose the right products and accessories and raising the average order value.

Segments, rules and automated testing

Alongside the recommendation engine, the platform offers dynamic segmentation of website visitors, so groups of shoppers can be identified as their behavior changes. Teams can apply rule-based targeting to decide which content or products a segment sees, and combine those rules with algorithm-based suggestions. Frosmo also lists automated optimization and A/B testing, which run without a team having to set up each comparison by hand. Placements allow any element of a page to be personalized, and blueprints give a starting point drawn from industry practice that a team can adapt.

Product data models and affinity profiles

The company describes a data layer that turns the product catalog from any data source into structured product data models, so that information about what a store sells is consistent enough to drive targeting. On top of that sits an affinity profile, which scores how strongly each visitor prefers particular product types or brands and updates in real time. Frosmo says these scores also reveal trends in seasons, locations and supply and demand, which a retailer can use beyond the storefront itself.

Working with existing platforms and data tools

Frosmo says it can be added to any ecommerce platform and to headless setups. The company names WordPress, Shopify, WooCommerce, BigCommerce and Kibo among the systems it connects to. The product follows Google's standards for data tracking and product information, which the company says makes it straightforward to deploy alongside existing analytics. It also says it integrates with customer data platforms and customer relationship management systems, so the profiles it builds can feed marketing tools a business already uses.

A no-code interface and a business case calculator

Teams can build their own strategies through a no-code interface, and the company says they always keep full visibility into how each recommendation strategy works. For businesses weighing the investment, Frosmo offers a business case calculator, which it describes as drawing on more than a decade of experience implementing personalization for retail companies. The calculator is meant to estimate the likely effect of personalization on a particular online business before any decision is made.

Support through implementation

Frosmo says it helps clients choose the strategies that suit their business and supports them at each stage of the work, so that the personalization effort is tied to the aims of the business itself rather than to the software alone.