For the reason that firm was based in 2019, MassPay’s singular goal has been to ship frictionless world funds that energy innovation and raise individuals, companies, and high quality of life worldwide. As we speak, the MassPay fee orchestration providing empowers firms to maneuver cash throughout borders effortlessly; enabling native fee experiences in over 175 international locations and 70 currencies—together with digital wallets, regionally most well-liked different fee strategies, and cryptocurrencies. From hyper-localized checkout experiences to on the spot world payouts, we orchestrate seamless monetary experiences that mirror how individuals and companies transact all over the world.
As we now have expanded globally, so has the complexity of our knowledge. On this weblog publish we will cowl how understanding real-time payout efficiency, figuring out buyer habits 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 knowledge availability latency, funds knowledge obtainable for analytics 1.5x sooner, resulting in 45% discount in time-to-insight and 37% fewer help tickets associated to transaction visibility and fee inquiries.
Unlocking deeper payout intelligence and world insights
To proceed our innovation—and to proceed to exceed our companions’ and prospects’ expectations—we knew we would have liked to transcend primary reporting. We all know success relies upon growing a really data-driven group. This implies monitoring granular KPIs throughout payout success charges, fee methodology adoption, transaction velocity, buyer onboarding funnel drop-off, and help ticket correlation. We additionally needed to raised forecast buyer fee expectations, monitor overseas trade price developments, and perceive market-specific nuances reminiscent of how payout timing impacts vendor satisfaction in social commerce ecosystems.
“We didn’t simply need extra knowledge. We needed sooner, smarter insights that will form choices in actual time. Being a data-driven group means our groups don’t guess. They know. And that provides us, our companions, and our prospects actual operational and aggressive benefits.”
– Yossi Schlomo, Director of Fee Techniques Structure
MySQL databases, CSV exports, and third-party reporting instruments wouldn’t help the dimensions or pace we would have liked to ship.
Selecting AWS: A scalable and built-in analytics basis
We selected Amazon Internet Companies (AWS) for our knowledge 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-Suitable Version as our transactional knowledge retailer and Amazon Redshift zero-ETL integration, we eradicated handbook knowledge pipelines altogether. Transactional knowledge flows into Amazon Redshift in close to real-time, immediately powering dashboards, alerts, and machine studying (ML) fashions.
This knowledge 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 fee methodology, whereas prospects 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’d have needed to spend money on expensive customized knowledge pipelines, keep separate trade, rework, and cargo (ETL) infrastructure, and manually handle knowledge freshness. The combination with Aurora MySQL-Suitable 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 handiest, and what meaning for your small business in actual time.”
– Yossi Schlomo, Director of Fee Techniques Structure
Embedded intelligence, constructed for scale
Each MassPay buyer will get entry to complete fee 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 price proposition. As a part of our go-to-market technique, we showcase these capabilities in each demo, they usually’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 prospects 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 knowledge availability latency and knowledge obtainable for analytics 1.5x sooner
- 45% discount in time-to-insight throughout fee and payout intelligence experiences
- 37% fewer help tickets associated to transaction visibility and fee inquiries
- Actual-time Internet Promoter Rating (NPS) monitoring correlates with payout success metrics, driving sooner decision paths
What’s subsequent
We’re now extending our analytics mannequin to incorporate extra superior ML-based payout failure prediction and ML-based fee authorization prediction, FX optimization alerts, partner-level and network-level benchmarking, and far 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 sensible, clear, and scalable platform for insights. For our companions, and for our prospects, this implies higher choices, sooner fee processing, sooner payouts, and actually world attain with out guesswork.
We encourage you to leverage under sources to discover these options additional
In regards to the authors
Yossi Shlomo serves because the Director of Fee Techniques Structure at MassPay. Yossi is an skilled in bank card fee 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 fee 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 knowledge platforms, knowledge 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: Leap-Begin Analytics Utilizing Cloud Information Warehousing 1st Version.
