Lifestyle brand builds 1:1 shopper journeys.

Iconic lifestyle brand built 1:1 dynamic shopper journeys with, achieving an 80% increase in user engagement rate with dynamic personalization.

The big picture


of revenue directly attributable to


uplift in conversion rate for users who engage with


increase in user engagement rate

Retailers are no longer satisfied with defining customer experience within the framework of audience segmentation or in the context of individual touchpoints on the site.

This customer has built a mindful shopper and community-driven brand. The customer's site revolves around telling a story through their product and helping shoppers find items that fit a particular aesthetic and lifestyle they envision for themselves.

To help them amplify their design-led aesthetic, the customer turned to to provide their shoppers with personalized recommendations that would merge seamlessly with the site while optimizing their channels for easy discoverability and experience.

In less than a year of deployment, the customer saw 9x better conversions with recommendations.

The need

A meticulous and near-obsessive focus on building a design-led brand has helped the customer create a shopper base & community incredibly loyal to the brand. A pioneer in stand-alone lifestyle brands, the customer was looking to craft experiences that would extend the brand’s aesthetic and personalized service to the site. 

To build recommendation systems that would provide solutions to help every shopper find the right product at the right time, the retailer required a system that would:

Provide recommendations that are in line with the shoppers intent, preferences, and style profiles

Go beyond legacy recommendations by considering every shopper and every journey on the site

Rapidly analyze, tweak, and deliver recommendation strategies across the site

The natural choice for a partnership was as the solutions offered would fulfill their need to understand every shoppers' behavior while providing nuanced feedback and ability to manage engaging and relevant recommendations.


Shoppers want variety while shopping but must also align with their intent, preferences, and style profile.
They also wish to use eCommerce portals to reflect real-world conditions as closely as possible. When any irrelevant product selections are offered as recommendations, shoppers will likely abandon the site without a purchase. Exceptional customer experience includes seeing products in real-time and having recommendations reflect the shoppers’ mood and intent every time they click, swipe, or know a product.

Similar product recommendations to sustain engagement and increase the chance of purchase

The similar products recommendation boosted with dynamic personalization ensured:

  1. Modules showed users a selection of products similar at the attribute level to the product the shopper is viewing.
  2. Dynamically personalized recommendations show shoppers the most relevant product that matches their preferences and reflects changes with every click they make on the site.
  3. This strategy ensured a significant increase in revenue contribution and the number of products purchased on the site.

Dynamic personalization to ensure an increase in engagement and conversion.

  1. To ensure their shoppers got the best experience every time they came on the site, the customer worked with to implement A/B testing of dynamic personalization on their site.
  2. Data-backed testing of solutions meant showing users real-time recommendations on-site and showing a control group similar products that were not dynamically personalized.
  3. The customer saw an 80% increase in user engagement rate and a 100% increase in conversion rate with dynamic personalization.

Cross product recommendations to improve cross category purchases and thereby basket value

Cross product recommendations:

  1. Provides shoppers with an array of choices that relate to and complement the product they are viewing or have chosen.
  2. Bases the selection of products on shopper preferences, current session intent, and business rules - and makes it unique to every single shopper
  3. Enables increase in basket size by recommending products that complement the primary product.
  4. Improvements made for Cross Product recommendations in Home Category has improved CTR by 60%.’s solutions customizes recommendations based on each customers catalog.

Key takeaways

  • Customer experience and community-led interactions have always informed how lifestyle brands engage in business. The move to digital in the last few years has encouraged these brands to look at these transactions from an eCommerce lens. Limitations because of the channel and mode of delivery should not be a hurdle to users' journey on the site.
  • To ensure continuity of end-to-end retail experience and to provide the same design-led service on-site, the customer partnered with and invested in the 1:1 recommendation solution. True personalization can help deliver journeys for every single shopper every time and has a 360-degree view of the shopper and product to make the entire site experience memorable and valuable. With a dynamic personalization solution and a recommendation engine tweaked to analyze and implement solutions backed by data, every shopper on the site is ready to step in, step out, and return to the site. Loyalty to the brand continues.