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Nextroll Case Study - Marketing and Advertising

Scaling AI Predictive Marketing Platform with 48 Nearshore Engineers

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The summary.

NextRoll needed engineers with in-depth knowledge of statistical tools to hone its machine-learning tech used to launch about 100,000 ad auctions per second on autopilot. Our data work increased the number of Shopify customers joining NextRoll's platform by 60%.

Nextroll
48
Team size
7years
Engagement length
10out of 10
NPS
Main technologies used
Engagement model

“By seamlessly integrating with the internal team, BairesDev helped achieve key objectives by performing to the same expectations as full-time employees. Their strong onboarding methods, reliable deliverables, and responsiveness continue to strengthen the relationship.”

VP of Engineering, Nextroll

About Nextroll

NextRoll's platform uses predictive analytics to create over 150 billion daily buyer predictions. The company has 2 branches. AdRoll is centered on ads and behavioral emails for the DTC market. RollWorks is an account-based marketing solution for B2B enterprises. NextRoll has 12,000 customers and an annual revenue of approximately US$200 million.

The challenge.

NextRoll's predictive analytics technology needed engineers with in-depth knowledge of statistical tools. Python is a principal language used in machine learning.

Despite being one of the most in-demand languages, CPD stated that in June 2023 there were 15,465 job vacancies for Python developers in the US. There is currently a huge shortage of Python developers on the market.

When we partnered with NextRoll, a primary concern was the speedy onboarding of Python developers. The company needed to hone its machine learning technology so they could launch about 100,000 ad auctions per second on autopilot. We brought in dozens of Latin American engineers to fill in the technical gaps in their internal teams. 

When we partnered with NextRoll, a primary concern was the speedy onboarding of Python developers. The company needed to hone its machine learning technology so they could launch about 100,000 ad auctions per second on autopilot. We brought in dozens of LATAM engineers to fill in the technical gaps in their internal teams.

The solution.

We augmented NextRoll's internal teams including Data Science, BI, Applications, RTB, Infrastructure, Solutions Engineering, and Big Data teams. Our extra engineers helped NextRoll scale quickly to meet their expectations of serving 50 billion ad impressions per day.

48 Specialists
Back-end · Data Scientists · Data Engineers

All technologies used.

The outcome

The outcome.

Our team provided the extra talent needed to scale NextRoll’s projects.

Since 2016, we: 

  • Increased the number of Shopify customers joining NextRoll's platform by 60%. 

Over 7 years we scaled our engagement to 48 nearshore engineers working with NextRoll.

10 / 10
NPS
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