Payments Strategist
Payments Strategist
Podcast Description
Welcome to the Payments Strategist, the show where we explore the world of online payments, the strategies driving payments innovations, and the experts leading the way.
In every episode we invite top payment professionals to share their insights and experiences.
Podcast Insights
Content Themes
The show focuses on key themes in the payments landscape, including trends in online payments, subscription business challenges, and cross-border transactions. For example, episodes cover topics like the high costs of credit card processing for merchants, the significance of payment orchestration, and the implications of generative AI in payments.
Welcome to the Payments FM (prev. Payments Strategist), the show where we explore the world of online payments, the strategies driving payments innovations, and the experts leading the way.
In every episode we invite top payment professionals to share their insights and experiences.
In this episode, we explore how subscription and e-commerce companies can harness data, AI, and innovative payment strategies to boost growth and improve customer engagement. Andrei Rebrov, co-founder of Finsi and former CTO of Scentbird, shares practical insights on building effective analytics systems and integrating AI for smarter decision-making.
In this episode:
00:00 – Increasing e-commerce conversions through customer payment options
00:26 – Andrei Rebrov introduces his background and current focus in data analytics
01:54 – The problem of blind decision-making in subscription and retail businesses
02:24 – The rise of data-driven approaches in subscription companies like Scentbird
03:59 – Defining what analytics really means for business insights
04:42 – Moving beyond dashboards to actionable knowledge for executives
06:38 – The technique of asking ”five whys” to drill down into data anomalies
08:21 – Challenges of connecting multiple disconnected data sources
08:50 – The importance of clean, stitched data for effective AI analysis
10:17 – How AI can rapidly analyze correlations across multiple data points
11:54 – Real-world examples of anomaly detection and
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