- We're known for
- Data and Technology
- Data Strategy
Without a data strategy, it’s hard to win.
Strategy provides direction. Without a clear plan to activate your data, it’s easy to get lost and waste technology investments that are underexploited. A data strategy needs to be a lever for business impact, not a theoretical idea that’s hard to implement. We favour a real-world approach that guides decisions, prioritizes investment, and structures execution.
Data-powered companies generate 39% more margin and 42% more growth.
A measurable data strategy for the real world.
Clarification of business and marketing objectives
Define your objectives to frame expectations and identify key indicators that will guide your entire strategy. We define and prioritize the use cases with high impact, whether they’re related to marketing performance measurement, customer intelligence, personalization, or the creation of data products.
Analysis of existing strategy
Understand the gaps between your current situation and the one you’re targeting. We analyze everything that’s already in place: the available data, sources, platforms, processes, and internal skills. The goal is to operationalize your data strategy with an approach centred on the creation of measurable value.
Creation of a targeted vision that’s realistic and activatable
Take advantage of a road map that is structured and sequenced over time and specifies the initiatives to launch, the dependencies, the priorities, and the expected benefits. This plan covers data, technologies, processes, and teams.
Activation of initial use cases
Count on our guidance to ensure your strategy quickly translates into real-world results. We transform your data strategy into a continuous management support tool that’s capable of evolving with your business needs and marketing objectives.
We master the tools that matter
Why us?
A data strategy needs to lead to measurable business results. That’s our strong suit.
Our experts don’t stop with the business vision. They design strategies that your teams can actually execute, using your platforms and your current constraints. Forget the theoretical frameworks. At adviso, data strategy is a real-world plan and a generator of performance.
Our clients’ results say it all.
In a high-growth context where retention is key to profitability, we helped WeCook turn its data into a competitive advantage.
By building a unified data warehouse and developing an AI-powered churn prediction model, we enabled the team to identify at-risk customers and act proactively, with insights directly usable by marketing teams.
Results: 85% accuracy in detecting at-risk customers, a full implementation completed in just one month despite complex data sources, and a stronger ability to generate advanced insights to optimize marketing operations.
Proof that a strong data foundation, combined with AI, can turn complex data into actionable business decisions.
In a context where Cirque du Soleil needed to orchestrate large-scale digital campaigns while maintaining high performance across diverse and highly competitive markets, we supported their teams in planning and executing strategies tailored to each local reality.
By developing an integrated approach combining brand awareness and performance, we deployed over 100 campaigns across three continents, leveraging high-impact creative formats, media innovation, and intelligent data use to maximize investment efficiency and continuously fuel audience growth.
Result: a sustained ROI ranging from 1500% to 3000% across all campaigns, conversion performance exceeding targets by up to 20%, and a strong ability to maintain—and even improve—ticket sales despite increased investments in brand awareness.
Proof that rigorous strategic orchestration, combined with agile execution and media intelligence, can turn operational complexity into a driver of sustainable performance at an international scale.
Ubisoft aimed to take full control of its media investments and build an in house capability aligned with its operational and business objectives.
We supported their teams end to end, from defining a clear roadmap to selecting and implementing the right technologies across their media, data and analytics ecosystem. Every step was designed to reduce dependencies, streamline operations and increase speed of execution.
By restructuring data, refining audience segmentation and deploying the right tools, Ubisoft significantly improved its ability to plan, activate and optimize campaigns internally.
Result Ubisoft increased its audience segments tenfold, achieved a 127% return on investment within the first year and completed the full implementation in under six months. Proof that internalizing media can quickly drive both efficiency and measurable business impact.
In a context where a significant portion of revenue depends on media investments, Black’s needed to ensure every dollar was generating maximum value.
We combined internal performance data with external market data to uncover hidden opportunities in budget allocation. By developing a custom analytical model, we enabled clear visibility into where to invest more, where to scale back and when to act.
This approach transformed media decision making, shifting from intuition to data driven strategy.
Result a 27% optimization in budget allocation, the identification of five new market opportunities and the discovery of two key investment periods previously untapped. Proof that better data insights can directly improve media performance.
In a complex digital environment involving multiple teams and systems, Air Canada needed to rely on its data to make informed business decisions.
We redesigned the entire analytics architecture to ensure consistent, reliable and actionable data collection. By structuring tagging, aligning data sources and coordinating teams, we reduced inconsistencies that were limiting decision making.
At the same time, we streamlined partner integrations and accelerated marketing activation processes.
Result data discrepancies between analytics and booking systems were reduced by 80%, partner activation time decreased by 50% and more than 200 tags were deployed to enhance data collection. Proof that reliable data is a direct driver of performance and efficiency.
In a context where ticket sales relied heavily on paid media and third party platforms, evenko needed to regain control of its audiences and structure long term growth.
We supported the organization through a full transformation of its digital operations. By defining a clear roadmap, rethinking the role of the website and structuring data, we helped evenko shift from a campaign driven approach to a long term asset driven strategy.
At the same time, we improved user experience, optimized conversion tracking across multiple platforms and introduced personalization strategies to strengthen audience relationships.
Result a 12 month roadmap aligned teams, six personas were defined to better target both B2C and B2B audiences and a progressive transformation of marketing operations was implemented. Proof that a structured vision can sustainably transform marketing performance.
In a B2B environment with complex orders and distributed inventory across the country, Groupe Deschênes needed to modernize its digital offering without disrupting operations.
We supported the group in structuring its entire e commerce ecosystem. By harmonizing product data, designing an experience aligned with real world needs and integrating real time availability across more than 100 locations, we enabled customers to access reliable and actionable information.
At the same time, we coordinated the launch of multiple transactional sites and supported the creation of an organization capable of sustaining this transformation.
Result over 100 locations now offer synchronized product availability, 8 transactional sites were launched and a strong foundation was built to support long term e commerce growth. Proof that a structured approach can simplify even the most complex environments.
In a complex global environment, Aldo faced a critical issue data from analytics platforms did not match financial reporting, limiting executive confidence.
We centralized and harmonized the entire data ecosystem by migrating to a unified platform. By integrating multiple data sources and structuring them to reflect business reality, we enabled a consistent and reliable view of performance.
At the same time, we democratized access to data to support decision making across the organization.
Result the gap between analytics and finance data was reduced by 25%, data now covers over 80 countries and more than 100 users actively leverage it to drive performance. Proof that reliable data is essential to support growth at scale.
As Nespresso aimed to maximize the value of its audiences, the challenge was to move from generic targeting to behavior based segmentation.
We implemented and activated a data management platform by leveraging CRM data to build advanced segments using clustering models. By identifying the most valuable customer profiles, we deployed highly precise audiences across channels.
This approach turned data into a direct performance driver.
Result revenue per thousand impressions increased by 40%, data matching processes improved significantly and over $75,000 in media efficiency gains were generated within three months. Proof that advanced data usage can quickly drive measurable performance gains.
Finding answers is in our DNA.
What is a data strategy?
It’s a plan for transforming data into measurable business results. The data strategy defines how marketing and business data need to be collected, structured, analyzed, and activated to support the organization’s decisions and performance.
What is the purpose of a data strategy in marketing?
To improve decision making and marketing performance. A data strategy lets you connect marketing actions to business results, improve performance measurement, and activate data in a more coherent way.
What is the difference between a data strategy and a data architecture?
The strategy defines “why,” the architecture defines “how.” The data strategy specifies the objectives, priorities, and uses. The architecture then supports this vision in a technical way.
When does an organization need a data strategy?
When the data exist but don’t generate clear value. A strategy becomes essential when investments in data and technology don’t translate into measurable benefits.
Why is it that data often don’t have a real impact?
Because they’re not connected to actual uses. Without a clear prioritization of use cases or an activation plan, the data remain descriptive and don’t effectively support decisions.
You know where you want to go.
We know how to get you there.
Tell us what you need and we’ll help you find the best solution.
Find and leverage what really matters.
Get our insights and recommendations to stay ahead in the digital landscape.