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Title

Transforming mobile payments into a finance super-app

quote · high
…a Demo Login Contact Us Try Databricks Customer Stories / PicPay CUSTOMER STORY Transforming mobile payments into a finance super-app $10M In savings from smarter cash-back rewards 50% Lower analytics and visualiz…

Description

PicPay, Brazil's mobile payments platform with over 60 million customers, unified data from customer interactions, sales, financial and log activity on the Databricks Data + AI Platform, replacing a complex multi-tool AWS setup. This delivered $10M in savings from smarter cash-back rewards targeting, 50% lower analytics/visualization platform costs, and a 25% increase in self-service business analytics users.

derived · high
…y to fully realize the power of their data. With Databricks Data + AI Platform, PicPay has been able to unify their data — from customer interactions and sales metrics to financial and log activity — creating a common data layer that has opened the doors to not only delivering the best mobile payment servic…
…s / PicPay CUSTOMER STORY Transforming mobile payments into a finance super-app $10M In savings from smarter cash-back rewards 50% Lower analytics and visualization platform costs 25% Increase in self-servi…

Company

PicPay

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…latform costs 25% Increase in self-service business analytics users Watch video PicPay is on a mission to become Brazil’s first fintech super-app, offering a range of services from credit cards and a digital wallet to P2P payments, e-commerce and social networking. With over 60 million customers generating more than 31 million transactions ove…

Industry

Financial Services

classification · high
…running — all powered by Databricks Data + AI Platform. Share this post Details Industry : Financial Services Use Case : Data Science , Data Warehousing Cloud : AWS Product : Databricks SQL…

Country

Brazil

classification · high
…latform costs 25% Increase in self-service business analytics users Watch video PicPay is on a mission to become Brazil’s first fintech super-app, offering a range of services from credit cards and a digital wallet to P2P pay…

Problem

Built on AWS, PicPay's previous infrastructure required a wide range of data tools, resulting in an overly complex system that was difficult for their data team to integrate and maintain. This caused issues from data access, to slow data pipelines that couldn't scale, to the inability to serve real-time insights to analysts and data science teams looking to make smarter decisions and innovate with ML.

quote · high
…ancial transactions between peers, businesses, transformation systems and more. Built on AWS, PicPay’s previous infrastructure required a wide range of data tools, resulting in an overly complex system that was difficult for their data team to integrate and maintain. This caused issues from data access, to slow data pipelines that couldn’t scale…
…caused issues from data access, to slow data pipelines that couldn’t scale, to the inability to serve real-time insights to analysts and data science teams looking to make smarter decisions and innovate with ML. “Our data infrastructure didn’t allow us to collaborate on the data and with ea…

Solution

With data pipelines sending accurate data downstream, PicPay's growth team was able to use ML to improve customer engagement and ultimately margins. By reviewing user's segmentation, added to improvements in experimentation flows developed using Databricks, PicPay managed to improve how cash-back incentives are being handled, reducing cash-back waste. By segmenting customers based on their usage patterns, they are able to serve the right cash-back promotions at the right time.

quote · high
…g adoption by 25%, all while reducing IT operations costs by an incredible 20%. With data pipelines sending accurate data downstream, PicPay’s growth team was able to use ML to improve customer engagement and ultimately margins. By reviewing user’s segmentation, added to improvements in experimentation flow…
…o improve how cash-back incentives are being handled, reducing cash-back waste. By segmenting customers based on their usage patterns, they are able to serve the right cash-back promotions at the right time, lowering the marketing effort to target and engage with a customer while fueli…

AI capabilities

Predictive Analytics, Recommendation & Personalization

classification · high
…a customer while fueling their desire to keep spending for additional rewards. The company’s ability to predict how customers are likely to use their reward points and, accordingly, market its reward programs more effectively has led to an operational savings of $10 million. All these benefits have led t…

Technology

Databricks SQL, Delta Lake

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…try : Financial Services Use Case : Data Science , Data Warehousing Cloud : AWS Product : Databricks SQL , Delta Lake Ready to get started? Try Databricks for free Learn more about our product Talk…

Deployment model

AWS

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…etails Industry : Financial Services Use Case : Data Science , Data Warehousing Cloud : AWS Product : Databricks SQL , Delta Lake Ready to get started? Try Databricks for…

Deployment options

cloud

classification · high
…etails Industry : Financial Services Use Case : Data Science , Data Warehousing Cloud : AWS Product : Databricks SQL , Delta Lake Ready to get started? Try Databricks for…

Headline outcome

derived · high
…a customer while fueling their desire to keep spending for additional rewards. The company’s ability to predict how customers are likely to use their reward points and, accordingly, market its reward programs more effectively has led to an operational savings of $10 million. All these benefits have led to Databricks becoming the go-to solution to help P…

Use case type

Personalisation

classification · high
…o improve how cash-back incentives are being handled, reducing cash-back waste. By segmenting customers based on their usage patterns, they are able to serve the right cash-back promotions at the right time, lowering the marketing effort to target and engage with a customer while fueli…
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Captured
19 Sept 2026, 19:43 UTC
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fetch-strip@1
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c784a1279d1a3e3d7463d3503118c1901a63833868247cb58d2d6d6dac1539c8