Boosting Customer Engagement and Sales at Reiss

In a testament to the power of data-driven experimentation and strategic implementation.

How research and experimentation back with a sophisticated algorithm boosted orders and revenue for Reiss.

Year
2018
Office
London
Industry
Ecommerce
Disciplines
Research / Experimentation

The Background

Reiss, a quintessentially British fashion brand founded by David Reiss in 1971, has carved a niche for itself with stylish men's and women's clothing. With 160 stores spanning 15 countries, Reiss has become a global fashion icon. Yet, even the most iconic brands need to evolve to meet the ever-changing demands of their customers.

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The Challenge

Reiss faced a common yet critical challenge: customers were having a tough time finding relevant clothing options online. New product lines and collections often overshadowed the best-sellers, complicating the shopping experience. This wasn’t just a hiccup—it was a barrier to customer satisfaction and sales growth.

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The Solution

To turn things around, we adopted a dynamic, data-driven approach to revamp the product listing pages (PLPs):

 

1. Smart Sorting Algorithm:

  - We crafted a sophisticated algorithm to ensure customers see the most relevant products first. New arrivals from the past five days were showcased at the top, followed by best-sellers based on recent purchase data from the last seven days. 

2. Performance Overhaul:

  - A previous attempt with another CRO partner failed due to slow page load times. We took this as an opportunity to innovate, slashing load times by tenfold to under a second, making the shopping experience swift and seamless.

3. Strategic A/B Testing:

  - We didn’t just implement changes—we tested them. An A/B test was deployed to compare the new setup with the old, ensuring our approach was grounded in real-world performance data.

4. Deep Integration:

  - Built on Optimizely and seamlessly integrated with Google Analytics, our solution allowed for comprehensive post-experiment analysis. Every tweak and adjustment was backed by solid data, ensuring strategic decision-making.

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The Results

The results spoke volumes:

 - Uplift in Orders: We saw an 11% increase in orders, proving that customers were finding what they wanted more efficiently.

- Revenue Surge: Over twelve months, Reiss enjoyed are markable £5,500,000 boost in revenue. This wasn’t just a win—it was a testament to the power of data-driven experimentation and strategic implementation.

In a world where customer needs are constantly evolving, staying static is not an option. Reiss’s commitment to innovation and customer-centric improvements turned a critical challenge into a significant opportunity. By leveraging smart algorithms, enhancing performance, and grounding every decision in data, we transformed the online shopping experience, driving meaningful results and setting a new standard for customer engagement and sales growth.

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Boosting Customer Engagement and Sales at Reiss
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Boosting Customer Engagement and Sales at Reiss
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Boosting Customer Engagement and Sales at Reiss
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Boosting Customer Engagement and Sales at Reiss
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The Results

11%

increase in orders.

£5,500,000

boost in revenue over 12 months.

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