Paddle accelerates financial reporting and global expansion with Fivetran

Unternehmensgröße
0-499
Region
Europe
Branche
B2B-technologie
Wichtigste Ergebnisse
  • Saved £190k annually, enabling the team to prioritise high-impact projects without needing additional data engineering resources.
  • Seamlessly integrated diverse payment sources, supporting rapid expansion into key markets like the U.S., Mexico, and Brazil.
  • Streamlined financial reporting by centralising data into Snowflake, reducing manual reconciliations and annual reporting delays. 
  • Optimised global pricing, maximised returns, and enhanced conversion rates across 150 countries.
  • Simplified a complex post-acquisition process by seamlessly ingesting 20TB of data from an acquisition in under 2 weeks.
  • Effective data centralisation and secure data ingestion bolstered Paddle’s investor readiness.
“Fivetran quickly proved its investment value for us. Now we have an entire data warehouse filled with data in weeks — not months — which gives us a lot of confidence in making timely, data-driven decisions that support our growth.”
— Jaco de Groot, Director of Data at Paddle

Founded in 2012 to simplify software sales, Paddle has grown into a global platform that manages billing, payments, tax, and compliance for SaaS companies, allowing them to focus on growth and innovation.

Paddle’s early monolithic system made data ingestion straightforward with minimal development time. However, as the company transitioned to a microservices architecture, data management became increasingly complex. Limited integrations for essential tools including leading global payment platforms, combined with the absence of a third-party data solution, often forced the team to rely on manual CSV downloads and reviews, making data access slow and labor-intensive.

This decentralised setup not only hindered real-time insights but also made financial reporting challenging. Without a data warehouse, Paddle couldn’t verify finances against independent sources, resulting in manual reconciliations with numerous spreadsheets — a time-consuming and costly process. Recognising the need for a scalable solution to manage its expanding data needs and support long-term growth, Paddle turned to Fivetran. 

Fivetran helps Paddle streamline reporting and tap into key global markets

Paddle chose Fivetran for its ease of use, wide range of connectors, and ability to drive rapid time to insights:

  • Ease of use: Fivetran’s plug-and-play setup allowed Paddle to quickly integrate data without requiring specialised expertise. Its user-friendly interface and automation capabilities eliminated the need for extensive coding, allowing Paddle’s lean team to focus on delivering actionable insights rather than managing data pipelines.
  • Breadth of connectors and support for key data sources: With a library of 600+ pre-built connectors for leading global payment platforms, Fivetran enabled Paddle to seamlessly integrate data from diverse sources without custom coding. This connectivity helped the team expand globally, supporting local payment options in key markets like the U.S., Mexico, and Brazil with minimal effort.
  • Streamlined financial reporting: By centralising data into Snowflake, Fivetran allowed Paddle to improve financial accuracy and eliminate manual efforts across multiple spreadsheets. This streamlined process reduced annual reporting delays, saving time and ensuring financial data could be easily verified against independent sources.
“Building custom code to ingest and model data would take 6 months each time. But Fivetran handles the ingestion and modelling for us, saving us tons of valuable time.”
Jaco de Groot, Director of Data at Paddle

Maximising revenue and accelerating growth with Fivetran

Since adopting Fivetran, Paddle has been able to handle a substantially larger volume of data with ease. The company has scaled from 10-20 data connections to 134, with plans to add 60 more custom connectors to support its expansion. This enhanced capacity has enabled the data team to prioritise high-impact projects. “Without Fivetran, we would need 2 more full-time data engineers, which saves us about £190k annually,” de Groot notes.

Centralising data and simplifying complex data ingestion have freed up de Groot’s team to prioritise data science projects, such as building models to optimise global pricing across 150 countries and maximise returns. For a company of Paddle’s scale, even a 1% improvement in checkout conversions could significantly boost its revenue.

Fivetran’s flexibility has also supported Paddle’s expanding data operations. For example, after acquiring ProfitWell, the team was able to import 20TB of data from ProfitWell into Snowflake in under 2 weeks. This rapid integration not only streamlined data consolidation but also aligned data architectures, resolved quality and governance issues, and reduced redundancy, making the post-acquisition process seamless.

Paddle’s efficient data management enhances its appeal to investors. Looking ahead, the company plans to implement Fivetran’s Hybrid Deployment solution to strengthen data security, supporting both growth and compliance goals.

Download this IDC report to learn how Fivetran drives millions in financial impact and enables new business initiatives for enterprises.

Die gesamtwirtschaftlichen Auswirkungen von Fivetran

Erfahren Sie, wie Sie mit automatisiertem Data Movement in Ihrem Unternehmen die Produktivität steigern und schneller Erkenntnisse gewinnen können.

Laden Sie den Bericht herunter
Zentralisierte Daten treiben das Unternehmenswachstum voran

So beschleunigen echte Fivetran-Kunden Analytics und KI

Jetzt den Leitfaden herunterladen
Why they chose Fivetran

Further reading
No items found.
No items found.
Ähnliche Kunden-Storys
Case study

Adragos erzielt mit Fivetran schnellere Erkenntnisse und treibt seine globale Expansion voran

Case study

Flaschen gespart, Effizienz gewonnen: air up® zentralisiert ihre Daten für mehr Wachstum

Case study

FELFEL beschleunigt die Datenintegration mit Fivetran um das Zwanzigfache

Case study

Raiffeisen Bank International setzt für die Gewinnung von Kunden auf Echtzeitdaten

Case study

HubSpot spart bei GenAI mit Fivetran 100.000 US-Dollar ein

Case study

Deliveroo verwandelt die Essenslieferung in eine datengesteuerte Unternehmung

Case study

Westwing steigert den Marketing-ROI mit Fivetran

Case study

MyCamper startet seine datengesteuerte Reise mit Fivetran

Case study

Condé Nast bildet mit Fivetran die Customer Journey für globale Marken ab

Case study

Exporo gibt ELT an Fivetran ab und investiert in eine Datenkultur