Search among the top brands by number of locations
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Managing Partner, Global Business Development
Search among the top brands by number of locations
Join us for a demo where we'll discuss how Realytics can support your business growth and adaptability in changing market conditions
Managing Partner, Global Business Development
Search among the top brands by number of locations
Join us for a demo where we'll discuss how Realytics can support your business growth and adaptability in changing market conditions
Managing Partner, Global Business Development
Search among the top brands by number of locations
Join us for a demo where we'll discuss how Realytics can support your business growth and adaptability in changing market conditions
Managing Partner, Global Business Development
Available by subscription
Available by subscription
See what factors influence Java House performance in the Kenya and how they change over time
See what factors influence Java House performance in the Kenya and how they change over time
Join us for a demo where we'll discuss how Realytics can support your business growth and adaptability in changing market conditions
Managing Partner, Global Business Development
Search among the top brands by number of locations
Discover your traffic workload during different times of the day
In Cafés & Restaurants
In Cafés & Restaurants
An analysis of Java House' competitors in the Kenya
An analysis of Java House' competitors in the Kenya
In Cafés & Restaurants
·Jul – Sep 25
Java House is ahead of most brands
Sample of brands in the same percentile
Cafés & Restaurants
Market performance percentile reveals brand's share of foot traffic, showing competitive strength and customer preference in the industry.
Java House's market performance is at the 74th percentile, indicating an above-average market standing. This means Java House captures more customer traffic than many competitors in Kenya's cafe & restaurant industry. Performance peers in a similar range include Chicken Inn, Kikao Chill & Vibe, CJ's and Pizza Inn.
Customer satisfaction (CSAT) reflects customer happiness, impacting loyalty and brand reputation. Tracking CSAT helps identify areas for service improvement.
Java House's overall customer satisfaction is 71%, a slight decrease of 1.8 percentage points year-over-year. Rift Valley shows the highest CSAT at 91%, while Coastal Kenya has the lowest at 57%. This suggests regional differences in customer experience that Java House should investigate.
Average check reflects customer spending per visit. Monitoring this KPI helps understand revenue trends and optimize pricing strategies.
The overall average check for Java House is not available. However, regional data shows Nyanza has the highest average check at 2600 KES, while Rift Valley has the lowest at 1600 KES. This variance suggests regional differences in purchasing behavior or menu preferences.
Outlet count indicates brand reach and market presence. Tracking outlet distribution helps assess expansion effectiveness and regional coverage.
Java House has the most outlets in Rift Valley (7), followed by Nyanza (4). Central Kenya has 3 outlets, while Coast and Coastal Kenya each have 2. This distribution highlights Java House's stronger presence in certain regions of Kenya.
Identifying key competitors helps understand the competitive landscape and refine strategies to attract and retain customers.
Java House's top competitors based on cross-visitation are KFC (16.04%), Artcaffé (13.24%), CJ's (9.19%), Pizza Inn (7.79%), and Galito's (3.89%). This indicates that customers who visit Java House also frequently visit these brands, suggesting they are direct competitors for the same customer base.
Traffic workload analysis reveals peak hours, enabling efficient staffing and resource allocation to meet customer demand.
Java House experiences peak traffic workload between 12:00 PM and 5:00 PM, with the highest workload at 2:00 PM (70.87%). Traffic starts increasing significantly from 6:00 AM, peaking in the afternoon, and then gradually decreasing into the night. This data helps optimize staffing levels throughout the day.
Understanding consumer segments enables targeted marketing, tailoring products and messaging to specific demographic groups for better engagement.
Java House's customer base shows a higher affinity towards women (77%) compared to men (115%). Among generations, Gen X shows the highest affinity (141%), followed by Gen Z (115%) and Gen Y (81%). This suggests that Java House resonates more strongly with women and Gen X, while Gen Y is under-indexed.