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Customer Insights
Quantitative analysis observations
Customers not buying the same styles which they used, hence recommendation model based on past behaviour wouldn’t help. | |
Male customers are most likely to be reactivated as compared to other segments. | |
Shift in purchase preference was identified across cities. Within the city, mall store shoppers behaved differently from stand-alone shoppers. |
Qualitative analysis observations
Females are largely promoters, though data suggested male shoppers are likely to come back – that is a trend and doesn’t represent the opportunity. | |
Middle-aged customers have highest penetration of promoters. | |
Higher the amount spent in past, higher the willingness to shop again at Westside. | |
Westside has not lost these customers to other retailers, most of the customers spoken had not shopped at all since the pandemic, or shopped online (Amazon, Flipkart, Myntra, Urbanic, etc.) |
Festive season is an effective theme to connect with the audience but is not universal. Hence a parallel non-festive content was created around 3 themes –
#NewEssentials
#GetTheLook
#NewInStore
Within the festive theme, 3 Cohort Driven Content Strategies to appeal to different customer segments were created:
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of total brand business was contributed by Reactivated customers, with substantially higher average spends across segments
Growth (as compared to 2019) from reactivation of Multi-timer dormant customers
Top 3 decile customers had
contributing to more than half of overall win-back
Top 3 decile customers had
as compared to other segments