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Case Study

Al-Ikhsan Sports

Al-Ikhsan makes uses ComeBy to collect in-store behaviourial data and makes this accessible to decision makers, building a culture of analytics to drive better user experiences.

2x

conversion rates from those that utilizes the Digital Store Assistant

50 hours

saved daily from sales assistants from each stores

alikhsan icon

INDUSTRY

Retail. Sports footwear, apparel and equipment.

PRODUCTS

Retail Analytics, Digital Shopping Assistant, Insights Dashboard

We used to think that our time to conversion was between one to three days but after looking at the data in ComeBy, we realized that 85% of the time, people were completing their booking process within just 50 minutes. This informed us to better design our user engagement to fit within this time window, instead of optimizing it for one to three days.
John Doe
Product Manager, Al-Ikhsan Sports​

Company

Al-Ikhsan Sports Sdn Bhd (Al-Ikhsan) is Malaysia’s leading Bumiputera sportswear retailer and differentiated from others by its exclusive and quality product range attained directly from the global brands and sold to its customers at competitive prices. Established in 1993 by Tuan Haji Ali Hassan Mohd Hassan, Al-Ikhsan currently commands a >35% market share in the multi-brand sports retail industry encompassing sports equipment, apparel and footwear with close to 130 corporate-owned outlets. The company retails sports equipment, apparel and footwear from major brands such as Adidas, Nike, Puma, Umbro and Lotto.

Challenges

Challenge test case here

Solutions

Solutions 1

Results

results here 

We used to think that our time to conversion was between one to three days but after looking at the data in ComeBy, we realized that 85% of the time, people were completing their booking process within just 50 minutes. This informed us to better design our user engagement to fit within this time window, instead of optimizing it for one to three days.
John Doe
Product Manager, Al-Ikhsan Sports​

Why choose us

We are retailers.

There are a dozen other “retail analytics” solutions out there, focusing either on a broad view of shoppers as they enter a store, or a very narrow view of shoppers when they reach the checkout. 90% of them are built by tech guys.

We are former retailers. We’ve made the same mistakes you have. And we realized that the problem with those existing solutions is, that none of them capture shopper insights before checkout.

We’re here to change that.

we r retailers 1

Thank you for showing your interest in our services.

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