To digital and beyond.

Marketing in the age of first-party data.

Our core beliefs

Digital marketing is increasingly central in an organization’s acquisition and customer experience strategies. Its rise to prominence is largely justified.

  • The majority of organizations underuse digital today. There is little communication between media spending and a company’s own channels (web, apps, etc.).

  • Privacy concerns mean first-party data become the most reliable source of insights for any organization.

  • If too narrowly considered, Digital Marketing risks becoming “just another silo” in an already fragmented organization that will never deliver on digital’s full potential.

Experts in data-driven marketing since 2015

Geospatial data for real estate investment

Smarter real estate investments through geospatial data

Market watch agent

Creating a market watch agent to spot commercial opportunities early

Audience modeling in gaming

Unlocking sales insights through audience modeling in gaming

Data-driven customer segmentation in automobile

Data-driven customer segmentation in automobile retail

Automated competitive intelligence

Automated competitive intelligence in professional services

Modernizing the data foundation for an international Consumer Packaged Goods company

Modernizing the data foundation for an international CPG leader

Turning geographical data into actionable business intelligence

From maps to meaning: turning geographical data into actionable business intelligence

Allocation forecasting for audience targeting in ad tech

Optimizing advertisements with allocation forecasting in ad tech

Data roadmap in banking

Improving customer conversion with a defined data roadmap in banking

Customer segmentation in retail

Taking customer segmentation to the next level in a retail company

Data visualization in real estate

Enhancing marketing in real estate through data visualization

Data platform and sales performance management

Data platform and sales performance management in healthcare

Marketing Mix Modeling

Marketing mix modeling in utilities: smarter budget allocation with Robyn

Data enrichment and lead scoring for B2B growth

Data enrichment and advanced lead scoring for B2B growth

Case study: Competitive pricing with a dynamic model in telecom

Competitive pricing with a dynamic model in telecom

Data-driven market analysis in a nonprofit

Data-driven market analysis and enrichment for a Belgian nonprofit

PowerBI dashboard use

Accelerating marketing decisions with a Power BI dashboard in the gambling industry

Data enrichment

How data enrichment improved commercial targeting for a pharmaceutical company

B2B segmentation in food retail

How B2B segmentation drove sales growth for a Belgian food retailer

Case study: B2B cross-sell with predictive scoring

B2B cross-sell with predictive scoring

Case study: Identifying commercial potential with segmentation in insurance

Identifying commercial potential with segmentation in insurance

Case study: Advancing digital marketing solutions with an improved data warehouse

Advancing digital marketing solutions with an improved data warehouse

Case study: Boosting commercial initiatives with an automated prospecting tool in utilities

Boosting commercial initiatives with an automated prospecting tool in utilities

Case study: Smarter segmentation to improve the customer experience in retail

Smarter segmentation to improve the customer experience in retail

Case study: Making sense of disorganized data with a defined roadmap for a leading automobile brand

Making sense of disorganized data with a defined roadmap for a leading automobile brand

Case study: Make your customers an offer they can’t refuse

Make your customers an offer they can’t refuse

Case study: Setting the optimal price for home security services

Setting the optimal price for home security services

Case study: Better market insights with profiling in retail

Better market insights with profiling in retail

Case study: Improved pricing in automobile leasing

Improved pricing in automobile leasing

Case study: Gaining sales visibility and boosting performance in banking

Gaining sales visibility and boosting performance in banking

Case study: Lead generation on autopilot in real estate

Lead generation on autopilot in real estate

Case study: Up-to-date sales data in commercial real estate

Up-to-date sales data in commercial real estate

Case study: Machine-trained valuation in real estate

Machine-trained valuation in real estate

Case study: Keeping an eye on the competition in banking

Keeping an eye on the competition in banking

Case study: Tailoring a personalized onboarding experience in banking

Tailoring a personalized onboarding experience in banking

Case study: Increasing the ROI of e-mail campaigns in automobile

Increasing the ROI of e-mail campaigns in automobile

Case study: Amplifying B2B outreach in the tourism industry

Amplifying B2B outreach in the tourism industry

Case study: Getting the price right in B2B insurance

Getting the price right in B2B insurance

Case study: Rethinking the way you launch a new pharmaceutical product

Rethinking the way you launch a new pharmaceutical product

Case study: Growing operations with improved reporting at a restaurant chain

Growing operations with improved reporting at a restaurant chain

Case study: Know when it is time to (re)engage your customers in retail

Know when it is time to (re)engage your customers in retail

Case study: Optimizing the marketing mix in pharma

Optimizing the marketing mix in pharma

Case study: Prioritizing B2B sales activities in telecom

Prioritizing B2B sales activities in telecom

Case study: Boosting the performance of coupons in retail

Boosting the performance of coupons in retail

Case study: Smarter segmentation leads to better decisions in health insurance

Smarter segmentation leads to better decisions in health insurance

Case study: Digital transformation roadmap for a health insurer

Digital transformation roadmap for a health insurer

Case study: Improving the performance of digital campaigns for a tour operator

Improving the performance of digital campaigns for a tour operator

Case study: Report automation at a business school

Report automation at a business school

From best practices...

  • Strategy

  • Analytics

  • Tag management

  • SEO

  • Tooling

  • Engagement platforms

  • Data Warehousing

  • Customer data platforms

  • Data Quality

  • Privacy

...to competitive advantage

Since 2015, Agilytic helps organizations make the most of their data. We help your marketing teams create, manage, analyze and optimize marketing initiatives, linking them to the rest of your organization.

Our strong data modeling and cloud capabilities have supported dozens of marketing projects. Whether "macro", such as marketing mix optimization, or "micro" such as lead scoring, social monitoring, or pricing, we’ve been part of many successes.

Review governance and tech

Redesign your approach to be secure, compliant, user-centric, and privacy-first.

Rethink your MarTech stack, your buying and partnerships.

Setup your first-party use cases.

Omni-channel segmentation

Your customers are not just digital. We bridge digital and the rest of your retail operation for a full picture of your client’s consumption behaviors.

Customer experience & loyalty

Link marketing and transactional data with call center operations and operational KPIs to get to the bottom of those churn drivers.

Next-best action

Provide contextual recommendations, complete with commercial justifications, across all sales channels (web, call center, retail network).

Operational efficiency

No more over- or under-stocking goods for your promotions. Make sure your initiatives link up with the supply-side and logistics with accurate promo forecasting.

Risk

Anticipate fraud, payment defaults and other risks earlier in your sales funnel.

🤩 Why we’re different

🕵️ Seriously skilled

Our Data Scientists, Engineers and Architects are not just great at data.

Every team member understands the situation from the business perspective and can clearly discuss the details of their work with non-technical stakeholders.

⚖️ Pragmatic

While we can do "cutting edge", we don't start from the buzzword.

We consider all alternatives openly and decide with you on the most impactful use of resources and technologies.

👉 It’s all yours

We believe you should own your data and the associated intellectual property, such as algorithms and code.

We also care a lot about our clients’ autonomy, so we document and train internal teams as much as possible.

Ready to reach your goals with data?

If you want to reach your goals through the smarter use of data and A.I., you're in the right place.

Ready to reach your goals with data?

If you want to reach your goals through the smarter use of data and A.I., you're in the right place.

Ready to reach your goals with data?

If you want to reach your goals through the smarter use of data and A.I., you're in the right place.

© 2026 Agilytic

© 2026 Agilytic