Nisum redesigned the customer preference portal to collect complete data sets, offer customers greater personalization options, and lead to more accurate product recommendations.
A redesigned customer preference portal was able to collect long-term data sets and provide greater personalization options, which led to:
+4%
|
Increase in customer loyalty |
Decrease in return rate |
Business Challenge
A Fortune 500 retailer had a customer preference portal that was only able to save data based on short-term analytic data sets and cookies, but no existing customer behavior or experiences were captured from a long-term perspective, leading to:
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Decreased growth rate caused by a stagnant eCommerce conversion rate
- Increased return rates due to constricted product recommendations made with short-term data sets that lack a holistic view of customers made over longer periods of time
Solution
Nisum redesigned the customer preference portal and implemented a high resiliency system, which was able to collect complete data sets and offered customers greater personalization options. This resulted in:
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Incremental growth created by increased conversion rates, which were stimulated by:
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A more personalized customer experience
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Predicting purchasing patterns using advanced analytics and long-term customer data
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Decreased return rates due to more accurate product recommendations
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Decreased system downtime due to a high resiliency system that can:
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Easily identify faults and their locations
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Quickly recover from faults
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Operate without interruption through failures
Feel free to contact us for more information on how Nisum can drive results for your company.
