AI-powered workflows can incredibly enhance the development of media plans. It can analyze historical campaign data, audience behavior, and platform trends. The generated insights allow marketers to identify optimal budget splits, audience segments, and channel priorities. Automated tools help accelerate the planning phase by surfacing targeting recommendations and forecasting performance outcomes, reducing manual effort and improving accuracy. AI agents can also assist in creating customizable media plan templates, allowing for faster alignment with business goals and campaign objectives.

Compliance is not an option – it is a necessity. Digitl makes sure that a Microsoft Advertising setup handles all collected and shared data in strict accordance with current privacy regulations, including GDPR. Robust protocols secure safe data transfer and handling. Risks are proactively identified and mitigated in compliance with regulations and transparency best practices. This foundational work provides the assurance that advertising operations are not only effective but also fully secure and legally compliant.

Digitl builds scalable, cloud-based infrastructures (AWS, Google Cloud, Azure) designed to store, process, and visualize Microsoft Advertising data with maximum efficiency. Automated workflows handle the aggregation of campaign data, pre-calculate key figures, and manage caching to reduce latency and minimize manual workload. In addition, monitoring systems and configurable alerts safeguard performance, ensuring dashboards and reports remain consistently reliable, fast, and actionable.

Beyond core ad data, external datasets enrich overall insights. Economic indicators, inventory levels, or third-party analytics can be blended within downstream Business Intelligence (BI) tools. This gives a holistic view, revealing deeper trends and informing strategic decisions that go beyond standard campaign metrics.

Digitl delivers batch and real-time data pipelines that sequence imports and exports for Microsoft Advertising and other platforms, enabling robust data transformation, querying, and machine learning jobs with Azure Synapse Analytics or Databricks.

Understanding the marginal returns from various marketing activities enables businesses to refine their strategies for maximum effectiveness. By assessing how each additional euro spent translates to sales or revenue, companies can allocate budgets more precisely and enhance the impact of their investments.

Marketing Mix Modeling (MMM) helps determine which marketing channels are most effective at driving conversions. By identifying channels with the highest return on investment, budgets can be strategically allocated and with the help of the scenario planner marketing investments can be focused for maximum impact.

Digitl develops a strategy and implementation plan across the customer journey for Microsoft Advertising. First-party data, Microsoft Advertising insights, and Google Analytics are used to identify key audience segments based on demographics, interests, and user behavior.

Product Feed Enrichment enhances core product data with additional attributes like inventory status, custom labels, pricing tiers, and promotions through ERP (Enterprise Resource Planning), PIM (Product Information Management), or CMS (Content Management System) integrations. This enrichment improves ad relevance and performance.