MVA: Minimum Viable Analysis

on July 31, 2018

Data-driven marketing architecture refers to the underlying structure and technology that enables businesses to collect, analyze, and use data to inform their marketing strategies and tactics. This architecture typically involves the following components:

1. Data collection: This involves gathering data from various sources, such as customer interactions, social media, website traffic, and sales data.
2. Data storage: Once collected, the data needs to be stored in a centralized location that can be easily accessed and analyzed.
3. Data analysis: This involves using analytics tools to analyze the data and derive insights that can inform marketing decisions.
4. Data activation: After the data has been analyzed, it can be used to inform marketing strategies and tactics, such as personalized marketing campaigns, targeted advertising, and optimized customer experiences.
5. Continuous optimization: Finally, the data-driven marketing architecture should enable continuous optimization of marketing efforts based on ongoing analysis of performance data.

Overall, the goal of a data-driven marketing architecture is to enable businesses to make more informed decisions about how to reach and engage their target audience, ultimately driving better business outcomes.

We love to hear great talks at meetups

We love to hear great talks at meetups