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What is Decidable?
Decidable transforms complex Google Analytics data into understandable, actionable insights using a natural language story engine. By connecting to a user's Google Analytics account, the platform automatically generates data stories in plain English, highlighting key happenings within the business and pinpointing areas for growth. This approach moves away from traditional, complex dashboards, making data accessible and relatable across teams.
The platform emphasizes relevance, ensuring the generated insights are meaningful and impactful for specific roles. It saves time by automating the data extraction and interpretation process, delivering critical business insights regularly. Furthermore, Decidable fosters collaboration by providing a central hub for data, allowing teams to discuss insights, record decisions, and track commercial outcomes, ensuring everyone aligns with a single version of the truth regarding business performance.
The platform emphasizes relevance, ensuring the generated insights are meaningful and impactful for specific roles. It saves time by automating the data extraction and interpretation process, delivering critical business insights regularly. Furthermore, Decidable fosters collaboration by providing a central hub for data, allowing teams to discuss insights, record decisions, and track commercial outcomes, ensuring everyone aligns with a single version of the truth regarding business performance.
Features
- Natural Language Story Engine: Translates complex Google Analytics data into plain English stories.
- Automated Insights: Automatically generates insights on Acquisition, Engagement, and Conversion.
- Revenue Opportunity Identification: Highlights missed revenue opportunities within GA data.
- Collaborative Platform: Enables teams to discuss insights, record decisions, and track outcomes.
- Bespoke KPI Automation: Allows tailoring of insights and reports (daily, weekly, monthly).
- Intuitive Interface: Social-inspired design for user engagement and action.
Use Cases
- Analyzing website acquisition channels performance.
- Understanding user engagement metrics and trends.
- Improving website conversion rates.
- Identifying untapped revenue streams from website data.
- Democratizing data insights across non-technical teams.
- Automating regular reporting on key business metrics.
- Facilitating data-driven decision-making in marketing and sales.
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