Managing data is a challenge. With the support of Digitl Cloud, marketers can unify data from multiple sources, including the most relevant marketing platforms, to gather actionable insights and make informed business decisions. When cloud solutions and marketing platforms are used collaboratively, marketing teams can bring valuable business data directly to their digital campaigns.
Consolidate all marketing and advertising data in a single point of truth, and minimize time spent on data preparation and formatting. This allows obtainining in depth insights using custom artificial intelligence solutions and enable data-driven decisions to unlock greater business potential.
Using machine learning methodologies is a great way to analyze customer data and discover insights and patterns. Instead of performing tasks manually or with conventional analytics, AI-based models can help businesses make informed decisions more efficiently. As a result, they can precisely identify customer segments and user behavior. Furthermore, Digitl Cloud's clients can use the resulting data for activation purposes.
Marketing mix modeling identifies the significant influence of marketing activities on online and offline conversions or sales. Thus, it provides a solid basis for data-driven budget decisions. Classic statistical methods, such as regression analysis, are used to calculate the proportional value contribution of marketing channels, their ROI and impact duration. Based on this, forecasting models for budget scenarios can be created.
Predictions offer the possibility to fine-tune marketing activities and to target budgets more effectively. This includes, conversion or churn probabilities, cross-selling predictions and lifetime value predictions. Depending on the demand, various machine learning algorithms are used, such as random forest classification, to provide a future prediction.
Recurring reports and key performance indicators are ideally mapped in dashboards. Management and stakeholder dashboards form the basis for good monitoring and data-driven decisions. A systematic approach to KPI definition, such as the See-Think-Do-Care approach, are essential to provide structure and focus.
Based on a maturity assessment, a client's current status-quo of infrastructure as well as data handling is analysed. Thus serving as a foundation to create a tailored road-map to its specific needs to climb the next level of data & marketing analytics. In light of the assessment results, clear recommendations for action can be formulated for the future.
Tackling of major business challenges by building a scalable data science platform, democratizing and leveraging the power of machine learning and artificial intelligence.Learn more
Tackling of major business challenges by building a scalable data science platform, democratizing and leveraging the power of machine learning and artificial intelligence.