Discount e-retailer DailySale increases YoY click through rate by 221% using AI merchandising strategy

A powerful merchandising strategy can be the difference between a successful e-commerce store and an underperforming one, especially when it comes to increasing your click through rate (CTR).

But without access to advanced product analytics, retailers are forced to rely on best practices and intuition alone, which can be a costly mistake in such a fast-paced market. Furthermore, retailers that don’t incorporate a data-driven approach often miss out on opportunities to improve their profits.

To avoid this problem, DailySale (an e-retailer of discounted goods) approached Kimonix with a simple need: to increase their CTR through smart collections that would empower their long-term strategy.

About

DailySale is an e-commerce site offering a diverse range of products sold at discounted prices. The company strives to save time for buyers by tracking down the best deals on their favorite items.

Its current categories include Apparel & Jewelry, Electronics, Home, Health & Beauty, Outdoors & Travel, and more.

Goals

  • Create a dynamic mix of products based on advanced product analytics
  • Promote the best performing products
  • Consider ROI-driven parameters while increasing CTR on collection pages

The Challenge

Like any e-retailer, DailySale knew that one of the keys to success was curating a product selection that entices customers and increases the number of smart collections they receive.

However, this is easier said than done—at least without a powerful tool for collecting data on product performance and using it to make informed decisions.

To make matters more complex, DailySale's site features dozens of products spanning multiple categories, making it impossible to manually determine and promote best-selling items while still tracking margin and inventory.

In a nutshell: DailySale needed a solution that could monitor data across multiple product categories, identify top-performing products, and track inventory levels.

Our Approach and Solution

DailySale’s store was designed to be a one-stop shop for all of their customers’ needs. So when they saw that customers tended to shop by product category, whether it be women's clothing or home goods, they knew they needed an automated solution that could dynamically sort their products based on real time data.

Fortunately, we had exactly what they needed.

To help DailySale sort their products dynamically based on real time data, our Kimonix AMS granted them a powerful AI merchandising strategy that considered various advanced parameters, including:

  • Sales
  • Inventory
  • Margin
  • And more!

The smart collections crafted and sorted using these parameters helped to boost profit for each, while also providing DailySale with a more comprehensive view of their overall sales performance.

The Results

"This app is extremely helpful in creating and sorting smart collections all while boosting profit for each sorted collection. The team is also very quick to accommodate, adding any specific features that you need to run your business. Highly recommended [this] app"
- Joseph Hofstatter, VP Strategy at DailySale

Kimonix's AMS AI merchandising strategy solution was successful in eliminating manual tasks for DailySale's team and increasing sales for each sorted collection. As a result, the company can now focus more on growing its business and improving the customer experience.

Thanks to these advanced product analytics, the company enjoyed the following result:

Want to test a tailor-made advanced merchandising strategy for your retail brand?

Request a demo
July 17
Don't miss our exclusive workshop!
Join!