Alberto Cardaci

The project featured various key steps and elements:

1. A landscape analysis to identify new professional skills in demand from job postings, competitor websites, and desk research.

2. A data-driven framework to prioritize the identified skills for landing page creation—and existing pages for performance improvement—based on search volume, competition intensity, labor market demand level, and variation over time.

3. A "recommended actions" system for multiple teams and stakeholders, including marketing strategy, SEO, content marketing, and website production.

I led the development of a comprehensive data-driven industry evaluation model for a global industry leader, analyzing market opportunities across multiple sectors.

The framework incorporated 22 key metrics from authoritative sources—such as the US Bureau of Labor Statistics, Lightcast, and BlackRock—to create five indices measuring industry attractiveness and client's ability to win.

We applied this model for strategic targeting, identifying three high-value industries: healthcare/life sciences, financial services, and industrials. The analysis included detailed industry scorecards, technological trends, and prospect needs discovery, directly contributing to the successful implementation of new services and improved outreach accuracy.

I led a research project to boost credit card adoption rates in the European market, where ownership was only 40%.

Through a rigorous experimental study with 1,000 EU consumers, I demonstrated that changing the credit card color from red to black increased take-up rates by 11.8%.

The research combined behavioral insights about color psychology with randomized controlled trials and advanced statistical analysis. A follow-up study with emotional marketing materials yielded an additional 4.8% increase.

The findings were particularly effective for specific consumer segments, enabling the bank to implement targeted marketing strategies that significantly improved product adoption rates.

I led a 2-phased behavioral research project to improve parking compliance for a micromobility company in Germany.

Phase 1 involved conducting a comprehensive survey of 500 users to identify key behavioral drivers and user segments—revealing distinct patterns among different user groups.

In phase 2, we exploited these insights to design and implement two targeted interventions: a social norm-based pop-up showing local compliance rates and an empathy-focused message highlighting the impact on visually impaired people.

These data-driven solutions cut down parking violations by 12% and decreased local authority claims, improving urban mobility operations.