About Damien
I help digital scale-ups unlock revenue by leveraging customer data insights and predictive analytics. With 9 years of experience building data warehouses for growth teams, I provide a 360° view of customers that fuels data-driven decision-making. My expertise spans from key SaaS tools like Segment and DBT to the GCP environment, which I use daily to create robust, scalable data solutions.
My journey started in Performance Marketing and CMO roles, where close collaboration with CTOs (huge shoutout to them!) pushed me to dive into data coding. This unique combination of marketing and technical experience allows me to bridge the gap between growth teams and tech, offering end-to-end implementation of data strategies that truly drive growth.
After establishing data warehouses and pipelines, I’ve worked on advanced projects such as Marketing Mix Modeling, LTV Prediction for new customers, and Uplift Modeling for promotional actions. One of the most underrated strategies, in my opinion, is LTV Prediction. Few companies optimize their campaigns based on lifetime value, and that represents a massive opportunity.
If you haven’t explored LTV-based optimizations yet, I’d love to help you unlock this potential in your business. Let’s work together to build data-driven strategies that lead to long-term success!
French
Native or bilingual
Remote only
Primarily works remotely
Experience
- Dog ChefData ConsultantE-COMMERCEJanuary 2022 - Today (4 years and 5 months)Bruxelles, BelgiumSupported Dog Chef's CMO on marketing performance and data initiatives. Key projects include:1. Marketing Efficiency Optimization
- Server-Side Tracking: Implemented server-side tracking to increase data events shared with marketing platforms
- LTV Prediction Model: Developed an 8-month LTV prediction model using XGBoost, allowing conversion values to be shared with Google Ads and Meta. Shifting campaign objectives from CPA to ROAS increased profitability by 40% (6-month experiment).
- Churn Prediction Model: Launched a classification model to forecast 2-month churn probability, enabling proactive retention actions. We observed a 30% increase in action efficiency vs. control.
- Uplift Modeling for Promotions: Built a model to assess the incremental impact of promotions, optimizing strategies to increase reorder rate by 10% without raising promotion costs.
- A/B Testing Framework: Created an ICE-matrix prioritization framework, increasing website CVR by 60% through structured testing.
2. Enabled a 360° Customer view, along with key business events and attribution models- Multi-Touch Attribution: Established a unified Markov-based attribution model, integrating data from Segment to align performance insights across teams.
- Marketing Mix Modeling (MMM): Currently exploring MMM with PyMC to analyze upper funnel performance and saturation, supporting smarter budget allocation.
- Customer Support Analytics: Developed a topic classification and sentiment analysis model, using OpenAI’s API on support tickets to feed insights into predictive models.
- Survival and Cohort Analysis: Conducted Kaplan-Meier survival analysis by customer/pet traits, uncovering insights on profitable cohorts and pricing challenges for specific pet sizes.
- DBT Data Models: Built event-centric and user data models to streamline metric definitions, enable custom Looker reporting, and support reverse ETL to platforms like Meta, Google Ads, and CRM.
- Jaimy by BelfiusHead of Marketing/GrowthBANKING AND INSURANCEJanuary 2019 - December 2021 (3 years)Brussels, Belgium• Built the growth strategy to hire tradesmen on the platform and connect them with homeowners (with digital campaigns). Grew the platform from 0 to a 7-digit revenue.• Designed and orchestrated the customer data stack to enable personalized customer experiences & workflows.
- UbeeqoHead of Acquisition & Marketing Product OwnerJanuary 2016 - January 2019 (3 years)Brussels, BelgiumExecution at the Group level of: Structured B2C and B2B acquisition strategy across European markets (6 countries)• Managed the acquisition campaigns for each geo coordinating activities with design teams, internal digital experts and digital agencies; defined the media planning with a focus on high conversion channels; gained strong expertise on PPC and Paid Social channels.• Leveraged retargeting to drive customers down to activation (driving license uploaded and first booking events)• Advised local managers on their marketing plans and budget taking into account the digital competitive environment and seasonal demand• Optimised landing-page and website conversion rate; usage of A/B tests led to a 35% increase in homepage conversion rate• Coordinated and ran ASO/SEO audit in line with content strategy Established and maintained group Marketing KPIs allowing for data driven decision making• Created automated reports on user acquisition (including metrics such as CAC, cost of active users, LTV with splits per cohorts and channels, retention rates)• Planned digital budgeting across channels based on attribution reports Managed the tracking architecture both for Mobile and Web• Proposed and implemented Segment as a comprehensive tracking solution, leveraging integrations with third party tools; coordinated front and back-end developers' sprints; switched the attribution modelling from last-touch to multi touch• Contributed to the business and marketing data warehouse (BigQuery) Launched Ubeeqo's global and multilingual website• Directly managed a front-end developer to ensure maintenance and integrate new design and features
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Education
- Msc in Management, Finance, EntrepreneurshipEM Lyon2014Msc in Management, Finance, Entrepreneurship
- Master of BusinessNagoya University Business Commerce2013Master of Business Administration (MBA), Corporate Finance