Arrk implemented an AI-powered recommender system to improve customer engagement and support revenue growth.
Customer
Our Customer operates one of the largest online platforms for discounts and brand promotions in the UK. The platform supports e-commerce, digital marketing and affiliate marketing activities across a range of brands, including product launches and sales promotions.
The Challenge
The customer found that seasonal and event-based bulk promotions were not generating sufficient engagement or revenue. A more targeted approach was needed to improve performance in both areas.
Solution
Following a period of research and analysis, Arrk recommended a personalised promotional approach supported by AI-driven tools. During the work, there were several challenges to overcome:
- Privacy Concerns: Addressed through explicit consent mechanisms and a privacy-conscious data strategy.
- Operating Costs: Controlled through bulk processing and scheduled communications during off-peak periods.
- Notification Timing: Relevance was maintained through weekly analysis and recommendation updates.
Key Outcomes
The implementation delivered measurable improvements in customer engagement and revenue. By adopting a robust recommendation system, the customer achieved positive results within a short period of time.
Enhanced Personalised Offers: Using AI and AWS Personalize, the customer increased the relevance of offers presented to users, improving engagement and user satisfaction.
Increased Revenue: The recommender system contributed to a 30% increase in offer-based revenue within the first three months.
Ongoing Improvement: Ongoing refinement of the recommendation process helped maintain engagement levels and support revenue growth.
API Integration: An API was developed to integrate the AWS Personalize engine with the customer’s websites and applications, enabling relevant offers to be delivered in real time.
Conclusion
Within weeks, Arrk had designed and implemented an AI-powered recommendation solution that transformed customer engagement and revenue.
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