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Nutrafol

How Did Nutrafol's Data Foundation Enable 60% Revenue Growth and a Successful Exit?

Unified customer data and trusted analytics set the stage for acquisition by Unilever—proving that data infrastructure is a growth multiplier.

Quick Facts

CompanyNutrafol
IndustryHealth & Wellness / DTC
Scale25,000+ customers at start
Timeline12 weeks to full stack
Tools UsedSegment, Mixpanel, Iterable, Snowflake
Key Result60% revenue growth, Unilever exit

Key Takeaways

1

Unified data infrastructure enabled 60% revenue growth by giving teams trusted numbers and actionable insights

2

Segment Personas created rich customer profiles that powered personalized marketing across all channels

3

A modern data stack (CDP + Analytics + Warehouse) is foundational for DTC brands targeting growth or exit

Who Is Nutrafol?

Nutrafol is the #1 dermatologist-recommended hair growth supplement brand, now part of the Unilever Group. The company offers personalized, natural solutions for healthy hair growth through e-commerce subscriptions, retail (Amazon, Sephora), and a network of 4,500+ healthcare and hair professionals.

But before they could scale to that point, they needed to fix their data.

What Was Nutrafol's Challenge?

25,000+ Customers, Zero Reliable Way to Understand Them

The Business Problem

Nutrafol had 25,000+ customers and clinically proven products—but no reliable way to understand customer behavior or measure marketing performance.

What Was Broken?

Key reports maintained in Excel spreadsheets requiring manual updates
Multiple siloed data sources (Magento, Friendbuy, Unbounce, Zendesk)
Marketing pulled manual GA reports to estimate CAC and ROAS
Data was inconsistent across systems
No unified view of the customer journey
Team couldn't trust the numbers

Without trusted data, Nutrafol couldn't plan for growth. Every decision was based on incomplete information.

How Did GrowthBench Solve It?

A Modern Data Stack Built for Growth

We started with deep discovery to understand Nutrafol's specific use cases and business questions. Based on that, we designed and implemented a complete modern data stack.

1

Technology Stack

Segment as the CDP (single source of truth), Mixpanel for product analytics, Iterable for lifecycle marketing, Snowflake + dbt for data warehousing, and Tableau for BI reporting.

2

Identity Resolution

The key unlock was Segment Personas (now Unify). We built rich user profiles that unified data across all touchpoints—including details like last product recommended and support ticket history.

3

Audience Synchronization

With unified profiles in place, Nutrafol could target specific audiences (high churn risk, recent cancellations) and sync messaging across email and paid digital channels.

4

Funnel Analytics

We built Mixpanel funnels visualizing the customer journey from quiz completion to purchase. The team could finally see drop-off by segment, conversion by campaign, and impact of page changes.

What Were the Results?

60% Revenue Growth and Acquisition by Unilever

60%
Revenue growth in 2020
2022
Acquired by Unilever
100%
Org-wide data trust

The data foundation we built enabled Nutrafol to trust their numbers across every tool, understand customer paths to purchase, measure which campaigns drove revenue, personalize marketing at scale, and make data-driven decisions with confidence.

This Growth Trajectory Led to Unilever's Acquisition in 2022

Trusted numbers across every tool in the stack
Clear visibility into customer paths to purchase
Accurate measurement of campaign-to-revenue impact
Personalized marketing at scale
Data-driven decision making across the organization
"When it comes to data infrastructure, clarity is everything. Nutrafol was collecting all kinds of customer data from our website and different ad campaigns, but it was difficult to use. GrowthBench helped us through a data infrastructure reset, setting up Segment as our CDP and pushing those personas to Mixpanel for detailed insights."
Callie Baker
VP of Data & Insights, Nutrafol
Frequently Asked Questions

Common Questions About This Project

The full data infrastructure build took approximately 12 weeks, from initial discovery through go-live. This included Segment CDP implementation, Mixpanel analytics setup, Iterable integration for lifecycle marketing, and Snowflake warehouse configuration with dbt models. The timeline was aggressive but achievable because we ran workstreams in parallel.

Ready to Build Your Data Foundation?

Nutrafol's 60% growth started with trusted data. Let's see what's possible when your team can finally trust the numbers.