How Maybe* Cut Manual Work by 30% and Transformed E-commerce Data Analysis
Client Profile
Growth Society is a specialist consultancy dedicated to helping e-commerce brands navigate the complexities of modern retail.
By leveraging AI, Growth Society has significantly reduced manual workload, improved analytical depth, and provided their clients with smarter, more actionable insights.
Key Challenges
Will Anderson is the founder of Growth Society, a consultancy that works with e-commerce brands to identify opportunities, develop roadmaps, and provide insights. As part of their support to clients the company focuses on producing accurate, holistic e-commerce insights reports with a particular emphasis on sustainable growth.
A key focus of Growth Society is producing highly accurate, holistic e-commerce insights reports that go beyond surface-level metrics. However, traditional data sources often provided aggregated, unverifiable insights, making it difficult to extract meaningful trends—especially during high-traffic retail events like Black Friday and Boxing Day.
To overcome these challenges, Growth Society partnered with Maybe* to implement a cutting-edge AI-driven analytics solution. This collaboration enabled them to process and analyze vast amounts of data—tracking real-time customer behavior, marketing effectiveness, and order patterns across multiple channels—all while maintaining a high level of accuracy and security.
→ Existing market data was highly aggregated and difficult to verify for accuracy
→ Need to track multiple complex data sources including actual orders, website visits, email campaigns, and paid social advertising
→ Analysis of hundreds of marketing emails and social media advertisements
→ Limited team size for processing large volumes of data
"Maybe* puts all of our data into our own private AI workspace, then lets us create the right AI Agents to interrogate multiple data sources and provide insights and learnings, which helps us create reports faster than we thought possible "
The Maybe* Solution
Growth Society needed a way to efficiently process vast amounts of e-commerce data without the overhead of additional staff or the limitations of generic market reports. By implementing Maybe*, they leveraged AI-driven automation to streamline data analysis, integrate multiple sources, and extract precise, actionable insights.
With a private LLM environment and custom AI agents tailored to their needs, Growth Society was able to transform raw data into valuable intelligence—enhancing accuracy, reducing manual workload, and accelerating their reporting process.
→ Created custom AI agents specific to their data analysis needs
→ Integrated multiple data sources into a single platform
→ Automated analysis of thousands of data points
“We work with e-commerce brands to identify opportunities, develop the roadmap and provide insights. We wanted to produce an e-commerce insights report. And our frustrations with a lot of the data that's out there is aggregated. It's hard to see if it's accurate. Access to Maybe* changed all of that”
Results
Leveraging AI to Turn Complex E-commerce Data into Actionable Insights through the Maybe* Platform.
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→ Reduced the need for 2-3 additional staff members
→ Significantly decreased analysis time
→ Enabled processing of tens of thousands of data points efficiently
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→ Tracked 10 of the UK's fastest-growing e-commerce brands
→ More efficient marketing operations
→ Better understanding of digital strategies
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→ Estimated 30% reduction in manual work
→ More focused and accurate results compared to general AI solutions
→ Streamlined report creation process