AdTech, TMT & Entertainment

Telecoms, AdTech, platforms : legacy models challenged by a shared need for transformation. We support TMT players facing revenue pressure, the rise of data and AI, and the redefinition of their value creation models.

Challenges & Opportunities

  • Revenue under pressure
    The decline in advertising is putting pressure on pricing, making the trade-off between growth and profitability more complex.
  • AI as a performance lever
    Personalization, dynamic pricing, automation, and faster time-to-market all drive performance through AI, provided there is a strong ROI-driven prioritization.
  • Increasing technological complexity
    Tech stacks are fragmented, with IT debt and AI/data integration leading to high CAPEX.
  • Stronger regulatory & sovereignty challenges
    GDPR, DMA, DSA, and the AI Act are key constraints that must be integrated and closely monitored.
  • A necessary shift in business models
    Subscriptions, advertising, hybrid models (e.g., freemium, subscription tiers, upsell)… defining the right business model is more critical than ever for profitability.
  • First-party data becoming critical
    In a cookieless world, customer knowledge and data monetization are essential.
  • The rise of retail media & owned media
    New high-margin revenue streams are emerging, driving convergence between platforms and brands.
  • Rising acquisition costs & churn
    It is increasingly crucial to manage customer value (CLV/LTV), as well as retention and loyalty.

The sustainable performance of TMT players relies on their ability to align strategy, business models, and data capabilities. These are the levers we help them activate :

  • Strategic prioritization : identifying value drivers, arbitrating investments, and securing ROI
  • Controlled execution & value steering: actionable roadmaps, impact measurement, and risk management (regulation, sovereignty)
  • Business model transformation : subscription, advertising, hybrid models, value-based pricing
  • Data & audience monetization : activation of first-party data, retail media, data-driven revenue streams
  • AI serving performance and competitiveness: personalization, pricing, marketing efficiency, and AI-native products and offerings

From insight to action,From today to what’s next, Build the future with us
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