The Background

A remittance provider based out of the UK was experiencing a plateau in their online transaction volume. This was due to a combination of factors like, low online visibility, app downloads, high cart abandonment rates, poor SEO repeat business.

They knew the future of remittances was digital, but their current strategies weren't delivering the results they needed.

Approach: A Deep Dive into Data

Accropolix team analyzed the hashed historical data provided by the remittance provider to uncover key patterns and opportunities for improvement across transaction history, website traffic, and app engagement and other factors.

The historical data analysis, combined with industry market research, helped us craft a comprehensive, data-driven strategy that includes:

• Identifying high-potential corridors: Pinpointing regions with the highest transaction potential to focus marketing efforts.
• Targeted performance marketing: Launching campaigns across various channels to reach specific audience segments in those corridors.
• Strategic influencer partnerships: Collaborating with key influencers in relevant communities to boost brand awareness and organic traffic.
• Inefficient Marketing Strategies: Existing digital marketing efforts were not driving desired results.
• Predictive business intelligence: Developing a predictive model to forecast transaction trends, enabling proactive adjustments to marketing and operations.

The Transformation

The impact of adopting data-driven approach was swift and substantial:

• Transaction Volume Surge: A remarkable 40-60% year-over-year increase in transaction volume, across seasons.
• Improved Conversion Rates: Targeted campaigns and personalized messaging led to a significant increase in website and app conversions, addressing the issue of cart abandonment and last mile conversions due to other factors .
• Reduced Marketing Costs: By focusing on high-impact channels and strategies informed by data insights, the provider achieved greater results with a more efficient budget allocation.
• Data Driven Data Analytics: The predictive model empowered business to make proactive, informed decisions for the future growth leading to increased efficiency and profitability.

Key Takeaway

To keep pace with digitalization, a data-driven approach to marketing and data analytics is critical to leverage critical insights, target the right audiences, and optimize ROI in real-time.

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