Haier Kenya Live E-Commerce Case Study

DB Studio Africa supported Haier Kenya with live sales reporting and TikTok Live product promotion focused on appliances, confirmed sales tracking, strong product categories, and performance insights for future livestream growth.

Project Details

TimelineMarch 2026
Platforms
TikTok LiveWhatsApp

Key Highlights

Cookers were the strongest category: Cookers generated KES 112,343, accounting for 67.01% of confirmed revenue.
Revenue was concentrated: The top three confirmed products generated 100% of the total confirmed revenue.
Washing machines showed opportunity: A possible additional washing machine sale from 19 March was still awaiting confirmation.
More sales consistency is needed: There were six live dates, but confirmed sales came from only three live days.

The Story

DB Studio Africa supported Haier Kenya with live sales reporting and TikTok Live product promotion focused on home appliances. The live sales report tracked live dates, confirmed sales dates, confirmed revenue, units sold, daily performance, top SKUs, revenue concentration, and future recommendations. The goal was to understand which appliances were converting during livestream activity and how Haier could improve future live sales performance.

The Challenge

Haier Kenya needed to turn livestream product attention into measurable appliance sales. The challenge was not only to go live, but to understand which products were actually converting, which categories were strongest, and how live sales could become more consistent across more live days. During the reporting period, there were six live dates, but confirmed sales came from three of them. This showed that the livestream activity had clear sales potential, but needed stronger conversion systems, clearer WhatsApp tracking, and stronger product themes.

Our Solution

The solution was to turn livestream performance into a measurable sales learning system. Instead of only reviewing livestream visibility, DB analyzed confirmed sales, revenue contribution, product category strength, and product-level performance. This made it possible to identify which products should be pushed more during future lives and where the livestream structure needed improvement.