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Boosting sales by 15% through marketing optimization for a spa franchise

  • Travel & Hospitality

Boosting sales by 15% through marketing optimization for a spa franchise

OneSix helped a luxury spa franchise optimize its marketing investments using data-driven analytics, leading to a 15% increase in prospect sales. By implementing a marketing data warehouse, marketing mix modeling (MMM), and automated budget optimization, the client gained real-time visibility into performance.
Data Science
AI & Machine Learning
Power BI

Overview

Lack of visibility and ineffective marketing spend hindered growth

For a luxury spa franchise with hundreds of locations, ensuring marketing investments drive real value across national, regional, and franchise levels was a growing challenge. Without clear visibility into spend and performance, it was difficult to optimize marketing strategies and allocate budgets effectively. The client faced two key issues:

  • Limited Visibility: Minimal and delayed reporting of channel spend at national, regional, and local (franchise) levels made it difficult to assess marketing performance.
  • Inability to Improve Marketing ROI: Due to the lack of an empirical impact measurement strategy, the client struggled to make strategic investment decisions across marketing channels.

Our Solution

Data-driven marketing optimization to enhance budget efficiency

To solve these challenges, OneSix implemented a data-driven marketing optimization framework, leveraging advanced analytics and automation. Our approach was specifically designed to support a franchise model by providing both high-level and location-specific insights. Key aspects of our solution included:

  • Implementing a structured approach that accounts for national-, regional-, and franchise-specific effects on media efficiency and non-media influences.
  • Customizing adstocking and saturation functions, with parameters adaptable to specific groups.
  • Handling missing data and uneven time series across different franchise locations.
  • Incorporating multiple methods for time-based effects analysis.
  • Developing an optimization model tailored to the client’s specific needs, including group-specific constraints and budget allocations.

To bring this strategy to life, OneSix deployed a comprehensive suite of solutions:

  • Marketing Data Warehouse: Centralized all marketing and adjacent data into a unified data warehouse. Power BI was used to enable real-time, customizable reporting across all franchise levels.
  • Marketing Mix Modeling (MMM) Pipeline: Implemented an advanced MMM framework to evaluate the impact of various marketing channels on key performance indicators (KPIs), such as sales and customer acquisition. The MMM pipeline provided:
  • A structured method to quantify the contribution of each marketing channel.
  • Predictive insights to optimize future budget allocations.
  • Actionable recommendations to shift spending to high-performing channels.
  • Automated Marketing Optimization: Our proprietary MMM tool facilitated continuous, real-time budget optimization by integrating historical performance data, market conditions, and client-specific constraints.

Results

Improved marketing efficiency and measurable sales impact

By implementing these solutions, the client gained the ability to make data-driven marketing decisions with confidence. Key outcomes included:

  • Full automation of marketing budget allocation and spend/impact reporting, eliminating manual data reconciliation efforts.
  • 15% increase in prospect sales as measured in an initial experiment, directly attributed to optimized marketing budget allocations across channels.
  • Enhanced strategic decision-making through real-time visibility into national-, regional-, and franchise-level marketing performance.

Through OneSix’s expertise in data-driven marketing optimization, the luxury spa franchise gained unprecedented control over its marketing investments. With real-time insights and predictive modeling, the client can now continuously refine their marketing strategies, ensuring maximum return on investment across all franchise levels.

Ready to unlock the full potential of data and AI?

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Unlocking new AI-powered possibilities for a global art gallery

  • Travel & Hospitality

Unlocking new AI-powered possibilities for a global art gallery

OneSix worked with a global art gallery to develop a tailored AI strategy, facilitating a collaborative workshop to identify and prioritize AI use cases aligned with their business goals. The workshop provided a clear, actionable roadmap, helping the gallery confidently move forward with high-priority AI initiatives.
Data & AI Strategy

Overview

Leveraging AI to maintain leadership and innovation in the art world

A global art gallery aimed to maintain its leadership and innovative edge in the art world by leveraging artificial intelligence (AI). Their challenge was to identify authentic ways to integrate AI into their operations without compromising the personalized service and authenticity that defined their brand.

The gallery’s leadership team sought guidance in identifying and prioritizing AI use cases that would align with their business objectives and enhance their overall strategy. Having worked with OneSix in the past, the company trusted the team’s proven expertise in data and AI, confident that the tailored approach and deep understanding of AI integration would help them achieve their vision and meet their ambitious goals.

Our Solution

A collaborative and tailored AI strategy workshop

OneSix took a collaborative approach, working closely with the gallery’s leadership team to ensure alignment with their business objectives. The team facilitated a comprehensive AI strategy workshop, guiding the client through a process of brainstorming, refining, and prioritizing AI use cases relevant to their operations.

The workshop culminated in detailed project descriptions and preliminary scopes for the highest-priority use cases, enabling the gallery to make informed decisions on the next steps. The workshop’s structure was customized to meet the gallery’s specific needs, ensuring a tailored solution.

Results

Clear, actionable AI strategy and prioritized use cases

The outcome of the workshop was a detailed list of seven AI use cases, each aligned with the business value chain for art galleries. For each use case, OneSix provided a high-level overview of how to implement the solution, including timelines, risks, costs, and expected outcomes.

The workshop’s output gave the gallery a clear vision for their AI strategy, streamlining internal discussions and enabling the prioritization of initiatives. This clarity significantly reduced the time required to act on their most important AI use case and empowered the team to move forward with greater confidence.

The client valued the workshop’s ability to transform abstract AI possibilities into concrete, actionable insights. They appreciated having a clear understanding of how each AI solution could realistically impact their business and how to move forward with a strategic, prioritized approach.

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

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Optimizing data pipeline efficiency to reduce cloud costs for an amusement park

  • Travel & Hospitality

Optimizing data pipeline efficiency to reduce cloud costs for an amusement park

By analyzing and adjusting data processing schedules, OneSix enabled a seaside amusement park to significantly reduce unnecessary cloud expenses while maintaining scalability during peak demand. This optimization improved cost efficiency and ensured the pipeline aligned with real-time business needs.
Data & AI Strategy
Data & App Engineering
Snowflake

Overview

Optimizing Snowflake costs for smarter data spend

Many organizations invest in modern cloud data platforms like Snowflake to support data-driven decision-making and innovation. However, without proper cost management, these investments can grow disproportionately to their value. A seaside amusement park client approached us with a significant challenge: their Snowflake costs were spiraling beyond expectations despite what they believed should be a relatively modest data workload. They needed clarity on cost drivers and actionable recommendations to align spending with business outcomes.

Our Solution

Executing in-depth cost analysis and actionable strategies

We performed a comprehensive analysis of the organization’s Snowflake environment, focusing on spend trends, workload efficiency, and resource allocation. The engagement included:

  • Macro-level spend assessment: Identified trends and major cost contributors within the organization’s Snowflake environment.
  • Detailed workload profiling: Drilled into high-cost applications and workloads, uncovering inefficiencies driving excess expenditure.
  • Actionable cost-saving recommendations: Delivered a set of tailored strategies to reduce costs while maintaining operational effectiveness.

Two primary inefficiencies emerged during our analysis:

  • High-cost applications with minimal value: One application alone consumed over 30% of total Snowflake costs, but didn’t represent significant business value.
  • Overly frequent processing schedules: Frequent data loads without real-time needs can inflate costs. Aligning processing frequency with business value reduces waste and maintains efficiency.

To sustain cost efficiency, we suggested leveraging Snowflake’s built-in tools, such as resource monitors, auto-suspend settings, and budgets with usage alerts, ensuring proactive cost management aligned with evolving business needs.

Results

50% cost reduction and a foundation for long-term efficiency

Our engagement delivered immediate and impactful results:

  • 50% reduction in Snowflake spend: Shutting down the underperforming application and adjusting the data pipeline frequency achieved nearly half of the total savings.
  • Improved cost visibility and control: Introducing workload-specific warehouses allowed precise tracking of resource usage, enabling better budget alignment.
  • Sustainable cost management: Implementing Snowflake’s monitoring tools created a feedback loop for ongoing optimization.

These changes not only aligned Snowflake costs with the organization’s data workloads but also created a foundation for sustainable growth. By reducing unnecessary expenses and enhancing efficiency, the organization could reinvest savings into high-value data initiatives, driving innovation and competitive advantage.

Are you looking to optimize your cloud data spend and unlock the full potential of your Snowflake investment? Contact us to learn how we can help you achieve impactful results like these.

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

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Maximizing casino player profitability with a one-to-one marketing engine

  • Travel & Hospitality

Maximizing casino player profitability with a one-to-one marketing engine

By implementing a one-to-one marketing engine with real-time personalization, OneSix helped a casino gaming provider enhance player experience and boost profitability through tailored offers.
AI & Machine Learning
Next Best Action
Snowflake

Overview

Revolutionizing loyalty marketing in casino gaming

Casino gaming is a high-energy industry that continually seeks to use state-of-the-art technology to improve the player experience. However, most loyalty marketing programs in the industry still follow traditional, tier-based direct marketing approaches. Using this model, casino patrons are evaluated based on monthly spending data, then categorized into low- to high-value tiers. Promotions like free play, restaurant discounts, and hotel perks are allocated by tier, with players receiving updates via direct mail or email.

This legacy system has significant drawbacks. Promotions are distributed only once a month, resulting in outdated information by the time offers reach players. Additionally, the process is labor-intensive and static, failing to respond to real-time changes in player behavior. Since players are grouped into broad value categories, the traditional approach also lacks personalization, preventing casinos from crafting customized offers that reflect individual preferences and engagement patterns.

In response to these limitations, our client, a leading casino gaming provider, partnered with OneSix to develop a solution capable of engaging players individually. The goal was to build a dynamic marketing engine that would automatically learn from players’ behaviors both online and in-casino, creating a personalized, real-time experience for each player.

Our Solution

Building a one-to-one marketing engine for personalized engagement

OneSix designed and implemented a one-to-one marketing engine powered by a distributed reinforcement learning platform, tailored specifically for the gaming industry’s needs. Recognizing that each player’s engagement is driven by unique behaviors, we developed a platform capable of continuously learning and adapting to individual player activity. This multi-channel “next best action” engine integrates data from multiple sources to generate a comprehensive, real-time view of each player.

The system leverages this data to make intelligent, individualized decisions, including when and how to communicate with each player. The engine streams out optimal actions that maximize engagement, offering personalized incentives and communication across various channels, such as email, direct mail, online platforms, in-app messages, and SMS. This approach allows the casino to engage each player based on their current behavior, creating a highly responsive, individualized experience that feels more relevant and timely than traditional loyalty programs.

In addition to building this powerful engagement engine, OneSix ensured that the platform would continue learning over time. Our solution includes a feedback loop that adjusts strategies based on player response, optimizing interactions to align with evolving preferences. This adaptive approach allows the casino to nurture player relationships effectively, combining the best of real-time analytics with advanced AI-driven marketing capabilities.

Results

Enhanced player experience and increased profitability

The deployment of this one-to-one marketing engine has transformed the client’s approach to player engagement, providing a more immediate and personalized experience for casino patrons. Players now receive offers tailored to their individual habits and preferences, and these offers are refreshed in near-real-time as new player data is collected.

Experimental testing of the platform has demonstrated substantial improvements in player profitability, as well as enhanced engagement and loyalty among both new players and those migrated from traditional loyalty programs. By responding to shifts in player activity and delivering customized offers across multiple channels, the casino has seen a marked increase in player satisfaction and profitability.

$450M

Annual player reinvestment

10%

Increase in player visits

6%

Increase in player profitability

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

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Optimizing restaurant inventory using demand forecasting for Relish Works

  • Travel & Hospitality

Optimizing restaurant inventory using demand forecasting for Relish Works

OneSix developed a machine learning platform for a food distributor, enabling restaurants to optimize ingredient ordering, reduce waste, and enhance profitability through data-driven inventory management.
Data Science
AI & Machine Learning
Forecasting & Optimization

Overview

Maximizing restaurant profitability by optimizing ingredient ordering

A leading food distributor sought OneSix’s expertise to create a data-driven platform that could support restaurants in managing ingredient inventory more efficiently. While many restaurants relied on manual processes and intuition to determine restocking needs, the client wanted to introduce a solution that would allow for optimal ordering strategies to balance the risks of missed demand and food wastage.

Our Solution

Building an ML platform for dynamic ingredient forecasting and optimization

OneSix developed a machine learning-powered tool to generate ingredient-level forecasts based on diners’ orders, point-of-sale data, and menu items. The platform used these forecasts to predict future inventory needs, providing optimal restocking recommendations.

By factoring in each ingredient’s shelf life, seasonality, demand patterns, and role in various menu items, the platform automated order generation, allowing restaurant operators to submit optimized orders with just two clicks. Additionally, the tool aggregated ingredient and dish-level trends, offering insights into seasonal shifts and evolving consumer preferences to further guide menu planning.

Results

Enhanced profitability through data-driven inventory management

The machine learning solution enabled restaurants to make informed restocking decisions, minimizing waste while ensuring ingredient availability for high-margin items. By automating inventory management, the platform significantly reduced manual efforts and improved restaurant profitability. The aggregated trend insights also empowered operators to adapt to seasonal preferences and make data-backed decisions in menu engineering, providing ongoing value to restaurant businesses.

“OneSix partnered with us to design a new, machine learning-powered tool for restaurant operators to manage their business. They guided us through the process of framing the problem and determining what was possible with state-of-the-art ML/AI. The solution they developed transformed a key operational challenge into an automated solution that drives new value for restaurants.”

Mandy Tahvonen, Managing Director

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

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Unlocking global sales and customer insights with for a leading restaurant chain

  • Travel & Hospitality

Unlocking global sales and customer insights with for a leading restaurant chain

OneSix created a Power BI solution for a global restaurant chain, enabling interactive, on-demand insights into sales performance and customer sentiment across international markets.
Data Analytics
Microsoft Azure
Power BI

Overview

Achieving a view of global operations for a large restaurant chain

The larger a company grows, the more difficult it is to capture a comprehensive view of its operations. Once an organization’s footprint has reached across international borders, maintaining clear visibility into every market, department and customer segment becomes challenging.

This was precisely the problem that our client, a global restaurant chain, came to OneSix to help solve. Company leaders wanted to better understand global sales performance across their core products as well as customer sentiment around their largest brands.

Our Solution

Designing a proof of concept for scalable, interactive data insights

Given the scale of the business’s operations, a new solution couldn’t simply be swapped in for the previous data warehouse platform. OneSix worked with our client’s executive leadership to design and launch a viable proof of concept that could be piloted within select business units.

Our team created a rapid prototype using Microsoft’s Power BI platform – in particular, leveraging Power Query and Power Pivot features to build dashboards and reports. Excel-based data sources were cleansed via DAX functions in Power BI.

Technologies Implemented
  • Azure DAX and Power Query were leveraged to cleanse the data and consolidate multiple Excel data files into a single data store
  • Power BI enabled interactive dashboards and reports to executive leadership

Results

Enabling on-demand insights into global sales and customer sentiment

Our client was now able to provide end users with a more interactive and visually rich way to work with their global sales and customer sentiment data.

The ability to compare global sales performance and drill into individual markets and product performance was now available on demand. The team was able to understand the capability of the new platform and identify whether or not it could be leveraged for a much larger implementation down the road.

Ready to unlock the full potential of data and AI?

Book a free consultation to learn how OneSix can help drive meaningful business outcomes.

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