We leveraged internal expertise and frameworks which help companies who thrive with consumer intelligence to continue to innovate. We've also observed how standard use cases based on data monitoring can develop into a strategy that incorporates consumer intelligence into almost every major business decision.
Data blending and triangulation is continuously experimented with and expanded. API integrations are used to deepen analysis
Cross-functional insights sharing is the norm. Analysts benefit from an effective feedback loop that drives better analysis and insights delivery
Consumer intelligence informs almost every major company decision and dictates company investments. There are significant human and financial investments in this area and a recognition of the competitive advantage it provides
They should combine multiple data sources, such as social listening and sales data, to tell effective stories with the data. It's recommended to constantly ask questions on the data, push the boundaries, and understand any limitations. Additionally, Embedded businesses should utilize data augmentation to plug gaps in existing data. Some businesses at this stage might even build a custom consumer insights hub that’s tailored to their specific needs, pulling data from various internal and external sources into one unified space.
Team structure at this level can vary drastically and this is to be expected – every business will have different goals.
These businesses will have a deep-rooted culture of data sharing. Many areas of the business will continuously utilize the insights gathered by the team and questions and feedback will be exchanged regularly. At this stage, businesses might benefit from sharing internal success stories on how data has impacted business decisions – demonstrating the value of utilizing insights and sparking more requests. This will further perpetuate internal confidence in the benefits of consumer intelligence.
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