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Primark Uses Predictive Insights to Model a 25% Reduction in Churn

How Adoreboard insights allowed Primark to design and deliver a better customer experience, and share best practice learnings across the entire organisation.

Primark is a global retailer of fashion goods to a range of audiences in a very fast-moving and competitive environment.

Challenge

Primark uses social listening platforms to capture data and required a solution to reduce the manual analysis to understand the drivers of customer satisfaction relative to competitors.

Key challenges included:

  • Transforming the Primark in-store Customer Experience (CX) to drive customer preference, consideration and sales.
  • The need to understand the key themes impacting customer experience to reduce churn & detractors whilst positioning brand to disrupt competitors.
  • A root cause analysis of the key themes impacting customer journey to to match investment in store refurbishments or acquisition.

Solution

Key solution included:

  • Integration of 4 million data points from social, reviews and news articles to provide a 360-view of CX.
  • A priority decision matrix to help prioritise key emotions impacting their brand in order to help direct operational decisions and build better CX.
  • ’Decision Ready Insights’ delivered for executive board members.

Primark identified that an investment in upgrading stores globally was generating 20% more Anger. On closer analysis, this Anger was driven by the new, harsh lighting and unflattering mirrors, which ultimately caused customers to abandon their purchases. 

Adoreboard’s software identified a 25% reduction in churn at purchase stage if Primark resolved the mirror and lighting issues. Ultimately, the insight translated into action, and had an impactful outcome of reducing customer churn.

Why partner with Adoreboard?

Adoreboard offers a new ability to produce more impactful, actionable insights from feedback and create a scalable solution to issues identified.

The numbers speak for themselves ↓

data points
4M
reduction in manual analysis
98%
predicted reduction in churn
25%

Customer

data points
4M
reduction in manual analysis
98%
predicted reduction in churn
25%
Industry: Retail
Company:  Large
Use Case:  Customer Experience
“Adoreboard significantly increased our ability to act on key insights to improve the NPS by reducing manual analysis.”
Emma-Louise Rea
CX Insights Manager
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