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Geckoboard > Case Studies > Kigu.me: Keeping Up with 'Dodecadoopaling' Sales with Geckoboard
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Kigu.me: Keeping Up with 'Dodecadoopaling' Sales with Geckoboard

Technology Category
  • Application Infrastructure & Middleware - Data Visualization
Applicable Industries
  • Retail
Applicable Functions
  • Sales & Marketing
Services
  • Data Science Services
The Challenge
Kigu.me, Australia’s largest importer of animal onesies and authentic kigurumis, experienced a surge in demand when onesie-wearing celebrities made the comfortable piece of clothing the new ‘it’ item. The trend spread globally, and Kigu.me needed a tool to help them keep up with the growing demand. The company was experiencing a parabolic growth, with sales doubling or tripling every month. The founders found themselves constantly refreshing the orders page to keep up with the sales. They needed a better way to monitor the health of the business on a daily basis.
About The Customer
Kigu.me is Australia’s largest importer of animal onesies and authentic kigurumis. The company was founded in February 2012 by Aidan Lister and Daniel Labib, who met while studying Engineering at Monash University. The idea of bringing this fun and comfortable piece of clothing to Australia percolated until a second ski trip two years later. That year, the costumes had the same impact, and it didn’t take long before Kigu.me entered the Australian market with a bang. The company is based in Melbourne, Australia.
The Solution
Kigu.me turned to Geckoboard, a data visualization tool, to help them monitor their sales. They signed up for a trial and made a few custom widgets on Geckoboard to bring up the daily, weekly, and monthly sales. This allowed them to see the health of the business on a daily basis. By having the data visualized, they were able to understand more about their data. For example, they found out that Mondays and Tuesdays were their biggest days for sales. Knowing this, they started targeting their social media following on those days and sales increased even more.
Operational Impact
  • Improved understanding of sales patterns, leading to more targeted marketing efforts.
  • Increased efficiency in monitoring sales, freeing up time for other tasks.
  • Enhanced decision-making capabilities due to better visibility of business health.
Quantitative Benefit
  • Sales doubled or tripled every month.
  • Sales increased even more after targeting social media following on peak sales days.

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