Because the firm was based in 2019, MassPay’s singular goal has been to ship frictionless world funds that energy innovation and elevate folks, companies, and high quality of life worldwide. At the moment, the MassPay cost orchestration providing empowers firms to maneuver cash throughout borders effortlessly; enabling native cost experiences in over 175 nations and 70 currencies—together with digital wallets, domestically most popular various cost strategies, and cryptocurrencies. From hyper-localized checkout experiences to prompt world payouts, we orchestrate seamless monetary experiences that replicate how folks and companies transact world wide.
As we’ve expanded globally, so has the complexity of our information. On this weblog submit we will cowl how understanding real-time payout efficiency, figuring out buyer conduct patterns throughout areas, and optimizing inside operations required greater than conventional enterprise intelligence and analytics instruments. And the way since implementing Amazon Redshift and Zero-ETL, we’ve seen 90% discount in information availability latency, funds information out there for analytics 1.5x quicker, resulting in 45% discount in time-to-insight and 37% fewer assist tickets associated to transaction visibility and cost inquiries.
Unlocking deeper payout intelligence and world insights
To proceed our innovation—and to proceed to exceed our companions’ and clients’ expectations—we knew we would have liked to transcend fundamental reporting. We all know success depends upon growing a really data-driven group. This implies monitoring granular KPIs throughout payout success charges, cost methodology adoption, transaction velocity, buyer onboarding funnel drop-off, and assist ticket correlation. We additionally wished to higher forecast buyer cost expectations, monitor overseas trade price traits, and perceive market-specific nuances akin to how payout timing impacts vendor satisfaction in social commerce ecosystems.
“We didn’t simply need extra information. We wished quicker, smarter insights that will form selections in actual time. Being a data-driven group means our groups don’t guess. They know. And that provides us, our companions, and our clients actual operational and aggressive benefits.”
– Yossi Schlomo, Director of Fee Techniques Structure
MySQL databases, CSV exports, and third-party reporting instruments wouldn’t assist the size or pace we would have liked to ship.
Selecting AWS: A scalable and built-in analytics basis
We selected Amazon Net Companies (AWS) for our information infrastructure and to speed up our analytics capabilities.
On the core of our stack is Amazon Redshift Serverless with AI-driven scaling and optimizations enabled, which provides us scalable, quick, and cost-efficient analytics with out the burden of managing infrastructure. Coupled with Amazon Aurora MySQL-Appropriate Version as our transactional information retailer and Amazon Redshift zero-ETL integration, we eradicated guide information pipelines altogether. Transactional information flows into Amazon Redshift in close to real-time, immediately powering dashboards, alerts, and machine studying (ML) fashions.
This information feeds interactive dashboards—each internally and embedded inside our platform for purchasers. Now, executives, operations leads, and buyer success groups can drill into payout efficiency by area, service provider, or cost methodology, whereas clients get real-time visibility into their very own payout analytics as a part of our platform expertise. The structure is proven within the following determine.
MassPay Zero-ETL structure with Amazon Redshift Serverless
Why it’s totally different and what it unlocked
With out Amazon Redshift Serverless and zero-ETL, we might have needed to spend money on expensive customized information pipelines, keep separate trade, rework, and cargo (ETL) infrastructure, and manually handle information freshness. The combination with Aurora MySQL-Appropriate is seamless and reduces our analytics latency from minutes to seconds.
“Our differentiator is easy: We operationalize not simply transactions however analytics for world funds. Most platforms can let you know if a transaction went by way of. For funds and payouts, MassPay can let you know how briskly it went, what it price, what methodology was best, and what meaning for your online business in actual time.”
– Yossi Schlomo, Director of Fee Techniques Structure
Embedded intelligence, constructed for scale
Each MassPay buyer will get entry to complete cost analytics. These are accessed utilizing our API or by way of a white-label dashboard (proven within the following determine). This element is core to our product and central to our worth proposition. As a part of our go-to-market technique, we showcase these capabilities in each demo, and so they’ve confirmed to be key drivers in conversion and upsell conversations, particularly with platforms focusing on high-growth ecosystems.We use tiered pricing fashions primarily based on transaction quantity, and our embedded intelligence helps our companions and clients optimize utilization and scale effectively.
MassPay Dashboard
What we’ve gained
Since implementing Amazon Redshift and Zero-ETL, we’ve seen measurable outcomes together with:
90% discount in information availability latency and information out there for analytics 1.5x quicker
45% discount in time-to-insight throughout cost and payout intelligence reviews
37% fewer assist tickets associated to transaction visibility and cost inquiries
Actual-time Web Promoter Rating (NPS) monitoring correlates with payout success metrics, driving quicker decision paths
What’s subsequent
We’re now extending our analytics mannequin to incorporate extra superior ML-based payout failure prediction and ML-based cost authorization prediction, FX optimization alerts, partner-level and network-level benchmarking, and way more.
Conclusion
MassPay isn’t simply funds. We aren’t simply payouts. We’re the engine powering fashionable commerce. With AWS, we’re turning complicated world funds infrastructure into a wise, clear, and scalable platform for insights. For our companions, and for our clients, this implies higher selections, quicker cost processing, quicker payouts, and really world attain with out guesswork.
We encourage you to leverage beneath sources to discover these options additional
Concerning the authors
Yossi Shlomo serves because the Director of Fee Techniques Structure at MassPay. Yossi is an skilled in bank card cost methods, PCI compliance, and safe transaction structure, serving to world platforms course of funds at scale with confidence. He makes a speciality of constructing scalable, cloud-based transaction methods and optimizing world cost gateways for efficiency and reliability.
Milind Oke is a Amazon Redshift and SageMaker Lakehouse specialist Options Architect as AWS. He’s primarily based out of New York and has been constructing enterprise information platforms, information warehousing, and analytics options for purchasers throughout numerous domains over 20 years. Within the 5 years with AWS, Milind has been a speaker at worldwide technical conferences and is co-author of Amazon Redshift: The Definitive Information: Bounce-Begin Analytics Utilizing Cloud Information Warehousing 1st Version.
