Define and focus on Look reports tied to audience engagement, behavior patterns, and lifecycle stages in various ways, such as revenue, open rate, count of buyers, or number of transactions, to analyze campaign effectiveness.
Use filters composed of dimension and measure to view specific segments, such as customer acquisition by channel, geographic regions, or stores capture. You can also set date ranges and frequencies to analyze campaign performance over fixed periods, rolling bases, or for year-over-year comparisons.
Use visualization methods such as bar charts, line graphs, or pie charts to effectively communicate campaign insights. You can also balance data granularity to ensure usefulness and actionability, without overwhelming decision-makers with too much or hiding valuable insights with too little detail.
Explore data to align business objectives with organizational KPIs, ensuring campaign relevance and value. You can combine these insights into a dashboard and schedule the receipt of new insights to other departments.
SQL Free Form: You cannot use SQL Free Form queries.
Data summary: You cannot aggregate rows of data within the user interface.
Built-in pe-model: You cannot create custom join paths due to the predefined data model.
User interface limitation: The number of rows and columns that can be displayed in the user interface is restricted.
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If this content did not answer your questions, try searching or contacting our support team for further assistance.