Underoutfit saves 20+ hours per week and avoided 5 new hires with Moby Agents

Customer:
Underoutfit
Industry:
Clothing & Apparel
Features:
Moby Agents, Moby Chat
5
Open roles filled by Moby Agents
20+
Hours saved per week on data analysis
12+
Agents launched within 2 weeks

Established in 2021, Underoutfit is one of the fastest-growing D2C brands on Shopify, specializing in women's intimate apparel. Founded by industry veterans with over 25 years of experience designing for major brands like Victoria's Secret and Lululemon, Underoutfit creates bras that prioritize comfort and support without compromising on style. With a lean marketing team and complex customer journey, they needed a solution to analyze their vast amounts of data and make confident marketing decisions.

Challenges

Before implementing Moby Agents, Underoutfit struggled with data analysis paralysis and uncertainty about the accuracy of their insights.

"The biggest concern is always when you take action on data, are you analyzing it correctly? Because if you're not analyzing it correctly, then you make wrong decisions  that take a lot of time to fix." — Felix Leshno, Co-Founder & CXO at Underoutfit

With a small marketing team of just three people, Underoutfit faced several critical challenges:

  • Data overload: The team spent most of their day analyzing data across multiple platforms without a systematic approach.
  • Causality confusion: Understanding what caused performance changes was difficult when looking at siloed platform data.
  • Limited action on insights: Fear of incorrect analysis led to acting on insights only 20% of the time, leaving significant potential value on the table due to lack of confidence.
  • Human bias: Marketing decisions were influenced by personal biases and incomplete analysis.

The team spent most of their day looking at data, trying to understand what caused performance changes across Meta, Google, TikTok, email marketing, and website analytics. Despite this time investment, they remained uncertain if their analysis was correct, fearing that incorrect interpretations would lead to misguided actions that could damage business performance.

As the company expanded into TV advertising and evolved their marketing strategy, they needed a more reliable way to understand customer behavior and marketing performance.

Solution

After seeing Triple Whale's Moby Agents announcement, Felix Leshno, immediately recognized the potential to transform their data analysis approach.

"When I saw how Moby Agents intuitively presented the data and explained what caused what, it was very clear to follow the analysis. I feel much more confident to act on the recommendations from the agent, rather than acting on items that I or my team might come up with looking at the data." — Felix Leshno, Co-Founder & CXO at Underoutfit

Underoutfit implemented multiple Moby Agents to analyze different aspects of their business, from customer lifetime value to ad performance. The AI-agent-powered insights automate analysis at superhuman speeds and provide clear reasoning and action items, giving the team confidence to make data-driven decisions.

Strategy

Underoutfit implemented multiple Moby Agents running 24/7 in the background, each delivering insights on customized cadences. These autonomous agents constantly monitor different aspects of the business, surfacing actionable insights. Rather than jumping into manual dashboards and analysis, Felix checks his Agent Feed every morning, with each agent providing a unique lens into the business.

Moby Agent #1: Customer Value Compass Agent

As Underoutfit expanded into TV advertising, they needed a unified view of their marketing performance across measurable and unmeasurable channels. The Customer Value Compass Agent became their daily source of truth, providing insights into new vs. returning customer behavior, average order value, and lifetime value.

"Since we started advertising on TV and other channels that aren't easily measurable, Triple Whale is my map to see if something changes in the ratio between new customers and the value of those customers. It's the only source of truth I have." — Felix Leshno, Co-Founder & CXO at Underoutfit

How Moby Chat complements Moby Agents

Instead of waiting a week for a report from a data analyst—and then another week to get answers to follow-up questions—Moby Chat gives the team an immediate solution to answer follow-ups on their Moby Agent’s output. For example, when implementing a limited-time gift card promotion to boost repurchase rates, Felix asked Moby Chat to analyze the impact on customer behavior based on the trends uncovered by the Customer Value Compass Agent.

"The agent gives me an analysis for a specific time frame... and if I want to dig more into that, I'll go to Moby Chat and ask about it. In a couple clicks I get a great analysis that I can make a decision off of."  — Felix Leshno, Co-Founder & CXO at Underoutfit

Moby Agent #2: Ad Performance Optimization Agent

Underoutfit reviews the Ad Performance Optimization Agent twice weekly to identify trends and make strategic adjustments to their Meta campaigns. This systematic approach has allowed them to shift from chasing new customers to optimizing for overall ROAS as they expanded into TV advertising.

Moby Agent #3: Coupon and Bundle Analysis Agent

The team uses the Coupon and Bundle Analysis Agent  to monitor coupon performance, which led to an unexpected insight when the system flagged a high-AOV coupon. Upon investigation, Felix discovered the coupon was appearing on coupon sites and immediately turned it off to protect revenue.

"The agent gave me the insight that a certain coupon for 'buy 3 get one free' was being used a lot recently. I realized the coupon was appearing on coupon sites which was actually hurting us, and I was able to turn it off before it caused more damage." — Felix Leshno, Co-Founder & CXO at Underoutfit

Results

The implementation of Moby Agents fundamentally transformed Underoutfit's approach to business analytics and team structure. The most significant impact came recently, when Leshno made a critical business decision:

"We were about to start hiring a few analysts. Then I spoke with AJ and we started testing Moby Agents. I said, 'There's no way we need to hire these people.' It's mind-blowing, really." — Felix Leshno, Co-Founder & CXO at Underoutfit

Beyond financial savings, the agents elevate decision-making by delivering unbiased, comprehensive analysis that humans simply couldn't replicate. Powered by Triple Whale’s AI-optimized data platform—which pulls from every touchpoint along the customer journey—these agents offer a truly holistic view that makes them uniquely powerful.

Agents have also become an educational tool, helping the team discover new relationships between marketing activities and business outcomes. By highlighting unexpected patterns and correlations, Moby Agents have expanded the team's understanding of their business and opened new strategic possibilities.

As Underoutfit continues expanding into other traditional marketing channels, the agents provide the essential "source of truth" for understanding the blended impact of all marketing activities—measurable and unmeasurable alike.

The addictive and fun nature of Moby Agent outputs has transformed daily operations. Felix checks his agent feed every morning, reviewing outputs and acting on key insights. This instant access to high-quality analysis has become an integral part of his decision-making process, with each agent uncovering new dimensions of the business that would have been impossible to discover manually.

Ready to transform your business with AI agents? Talk to our team to see how Triple Whale's Moby Agents can scale your staff and provide superhuman insights.

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"When you have Moby Agents, you have a system that looks at all the data and gives you clear suggestions. I feel more secure trusting the AI because people are biased. It's not just the working hours saved—it's the availability of reliable data and suggestions 24/7 on an immediate basis, which isn’t even comparable or possible with humans."

Felix Leshno
Co-Founder & CXO
Underoutfit

Underoutfit saves 20+ hours per week and avoided 5 new hires with Moby Agents

Customer:
Underoutfit
Industry:
Co-Founder & CXO

Established in 2021, Underoutfit is one of the fastest-growing D2C brands on Shopify, specializing in women's intimate apparel. Founded by industry veterans with over 25 years of experience designing for major brands like Victoria's Secret and Lululemon, Underoutfit creates bras that prioritize comfort and support without compromising on style. With a lean marketing team and complex customer journey, they needed a solution to analyze their vast amounts of data and make confident marketing decisions.

5
Open roles filled by Moby Agents
20+
Hours saved per week on data analysis
12+
Agents launched within 2 weeks

Challenge

Before implementing Moby Agents, Underoutfit struggled with data analysis paralysis and uncertainty about the accuracy of their insights.

"The biggest concern is always when you take action on data, are you analyzing it correctly? Because if you're not analyzing it correctly, then you make wrong decisions  that take a lot of time to fix." — Felix Leshno, Co-Founder & CXO at Underoutfit

With a small marketing team of just three people, Underoutfit faced several critical challenges:

  • Data overload: The team spent most of their day analyzing data across multiple platforms without a systematic approach.
  • Causality confusion: Understanding what caused performance changes was difficult when looking at siloed platform data.
  • Limited action on insights: Fear of incorrect analysis led to acting on insights only 20% of the time, leaving significant potential value on the table due to lack of confidence.
  • Human bias: Marketing decisions were influenced by personal biases and incomplete analysis.

The team spent most of their day looking at data, trying to understand what caused performance changes across Meta, Google, TikTok, email marketing, and website analytics. Despite this time investment, they remained uncertain if their analysis was correct, fearing that incorrect interpretations would lead to misguided actions that could damage business performance.

As the company expanded into TV advertising and evolved their marketing strategy, they needed a more reliable way to understand customer behavior and marketing performance.

Solution

After seeing Triple Whale's Moby Agents announcement, Felix Leshno, immediately recognized the potential to transform their data analysis approach.

"When I saw how Moby Agents intuitively presented the data and explained what caused what, it was very clear to follow the analysis. I feel much more confident to act on the recommendations from the agent, rather than acting on items that I or my team might come up with looking at the data." — Felix Leshno, Co-Founder & CXO at Underoutfit

Underoutfit implemented multiple Moby Agents to analyze different aspects of their business, from customer lifetime value to ad performance. The AI-agent-powered insights automate analysis at superhuman speeds and provide clear reasoning and action items, giving the team confidence to make data-driven decisions.

"When you have Moby Agents, you have a system that looks at all the data and gives you clear suggestions. I feel more secure trusting the AI because people are biased. It's not just the working hours saved—it's the availability of reliable data and suggestions 24/7 on an immediate basis, which isn’t even comparable or possible with humans."

Explore the deep ocean of e-commerce & analytics.
Get a tour

Underoutfit saves 20+ hours per week and avoided 5 new hires with Moby Agents

Discover how Underoutfit scaled their marketing team with Moby Agents, saving 20+ hours weekly on data analysis and avoiding 5 new hires while gaining deeper business insights and making more confident marketing decisions.

THE RESULTS

5
Open roles filled by Moby Agents
20+
Hours saved per week on data analysis
12+
Agents launched within 2 weeks

THE RESULTS

5
Open roles filled by Moby Agents
20+
Hours saved per week on data analysis
12+
Agents launched within 2 weeks

THE RESULTS

5
Open roles filled by Moby Agents
20+
Hours saved per week on data analysis
12+
Agents launched within 2 weeks

Felix Leshno

Co-Founder & CXO

"When you have Moby Agents, you have a system that looks at all the data and gives you clear suggestions. I feel more secure trusting the AI because people are biased. It's not just the working hours saved—it's the availability of reliable data and suggestions 24/7 on an immediate basis, which isn’t even comparable or possible with humans."

about
Underoutfit

Discover more about

Underoutfit

Overview

Established in 2021, Underoutfit is one of the fastest-growing D2C brands on Shopify, specializing in women's intimate apparel. Founded by industry veterans with over 25 years of experience designing for major brands like Victoria's Secret and Lululemon, Underoutfit creates bras that prioritize comfort and support without compromising on style. With a lean marketing team and complex customer journey, they needed a solution to analyze their vast amounts of data and make confident marketing decisions.

Challenge

Before implementing Moby Agents, Underoutfit struggled with data analysis paralysis and uncertainty about the accuracy of their insights.

"The biggest concern is always when you take action on data, are you analyzing it correctly? Because if you're not analyzing it correctly, then you make wrong decisions  that take a lot of time to fix." — Felix Leshno, Co-Founder & CXO at Underoutfit

With a small marketing team of just three people, Underoutfit faced several critical challenges:

  • Data overload: The team spent most of their day analyzing data across multiple platforms without a systematic approach.
  • Causality confusion: Understanding what caused performance changes was difficult when looking at siloed platform data.
  • Limited action on insights: Fear of incorrect analysis led to acting on insights only 20% of the time, leaving significant potential value on the table due to lack of confidence.
  • Human bias: Marketing decisions were influenced by personal biases and incomplete analysis.

The team spent most of their day looking at data, trying to understand what caused performance changes across Meta, Google, TikTok, email marketing, and website analytics. Despite this time investment, they remained uncertain if their analysis was correct, fearing that incorrect interpretations would lead to misguided actions that could damage business performance.

As the company expanded into TV advertising and evolved their marketing strategy, they needed a more reliable way to understand customer behavior and marketing performance.

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