Avian ChatGPT Plugin
Avian ChatGPT Plugin is a revolutionary tool that integrates seamlessly with ChatGPT, providing users with the ability to access, analyze, and interact with their business data within the chat interface. β¦
About Avian ChatGPT Plugin
Use Cases
Use Case 1: Unified Multi-Channel Marketing ROI Analysis
Problem: Marketing managers often struggle to calculate total ROI because their data is siloed across different platforms like Facebook Ads, Google Ads, and Google Analytics. Manually exporting CSVs and merging them in Excel is time-consuming and prone to human error.
Solution: Avian GPT allows users to "Combine data from multiple sources" directly within ChatGPT. By connecting all ad platforms, the tool can aggregate spending and conversion data in one place, providing a holistic view of marketing performance without manual data entry.
Example: A marketer asks: "What was my total ROAS across both Facebook and Google Ads last month, and which platform gave me a better cost-per-conversion?"
Use Case 2: Instant Data Visualization for Stakeholder Meetings
Problem: During a strategy meeting, a stakeholder might ask for a specific trend analysis that isn't in the pre-prepared slide deck. Traditionally, this would require a data analyst to go back, pull the data, and create a chart, causing delays in decision-making.
Solution: Avian GPT can "instantly visualize your data on the fly." Because it queries live data via API, a user can generate a chart or graph in seconds during the meeting using simple natural language commands.
Example: During a live Zoom call, the team lead types: "Show me a line chart of our organic traffic growth versus our paid traffic for the last 90 days," and instantly shares the generated visual with the team.
Use Case 3: Simplifying GA4 Insights for Non-Technical Business Owners
Problem: Google Analytics 4 (GA4) has a steep learning curve. Small business owners often find the interface overwhelming and struggle to find specific metrics like "custom conversions" or "historical trends" hidden deep in the menus.
Solution: Avian GPT acts as a natural language interface for complex data. It allows users to "discover data insights without needing an analyst." Business owners can ask questions in plain English, and the AI translates that into the necessary API queries to fetch precise answers.
Example: A boutique owner asks: "Which of my product pages had the highest bounce rate last week, and did those visitors come from social media or search engines?"
Use Case 4: Real-Time Performance Auditing for Ad Agencies
Problem: Agencies managing dozens of client accounts need to monitor for sudden performance drops or budget overruns. Navigating into 50 different "accounts per connector" individually to check for anomalies is inefficient.
Solution: Because Avian supports multiple accounts per connector and provides "real-time performance data," account managers can perform bulk audits across their entire portfolio using ChatGPT to identify outliers.
Example: An agency account manager asks: "Check all 20 connected Google Ads accounts and list any where the daily spend has exceeded the budget by more than 10% in the last 48 hours."
Use Case 5: Secure Historical Trend Analysis
Problem: Companies are often hesitant to upload sensitive business data into AI models for analysis due to privacy concerns and data retention policies.
Solution: Avian GPT is "GDPR Compliant" and "Safe & Encrypted," using a live-query architecture where "no query data is ever stored in any database." This allows businesses to "dive deep into historical data" to find long-term patterns without the risk of their proprietary data being used to train public models or being stored permanently on third-party servers.
Example: A CFO asks: "Analyze our conversion trends from Q4 over the last three years and identify if there is a correlation between our seasonal discounts and long-term customer retention."
Key Features
- Multi-source business data integration
- Natural language data querying
- In-chat data visualization
- Live on-demand API calls
- Custom metric performance analysis
- Cross-platform data merging
- Zero-database query storage
- Historical performance data access