Google My Business Review Management System with Dashboard on Datastudio
Budget: $30 – $250 CAD
Google My Business Review Management and Automation Dashboard
Objective:
The primary goal is to connect and manage 36 Google My Business (GMB) profiles for real-time tracking and analysis of review changes, and to implement automated responses to reviews using ChatGPT integrated with Zapier. The final output should be a comprehensive, real-time dashboard that provides actionable insights and automated review management.
1. Project Overview:
Connect 36 GMB Profiles: Establish connections to each of the 36 Google My Business profiles for real-time data integration.
Real-Time Data Dashboard: Develop a dashboard that displays key review metrics and trends across all stores in real time.
Automated Review Response: Implement ChatGPT integration via Zapier to automatically respond to reviews based on predefined templates and sentiment analysis.
Comprehensive Review Analysis: Include detailed review content analysis, filtering, sorting, and visualization tools.
2. Key Deliverables:
Overview & Summary Dashboard:
Total Reviews: Display the total number of reviews across all stores.
Average Rating: Calculate and display the overall average rating for all stores.
Total Reviews per Store: Break down the number of reviews for each store.
Average Rating per Store: Display the average rating for each individual store.
Review Trends: Include a graph showing the trend of reviews over time (e.g., weekly, monthly).
Store-Specific Details:
Store Name: List the name of each store.
Store Location: Display the address or location identifier for each store.
Number of Reviews: Show the total number of reviews for each store.
Average Rating: Display the average rating for each store.
Review Distribution: Provide a breakdown of 5-star, 4-star, 3-star, 2-star, and 1-star reviews for each store.
Review Content Analysis:
Most Common Keywords: Analyze and display frequently mentioned keywords or phrases in reviews.
Sentiment Analysis: Calculate and display the percentage of positive, neutral, and negative reviews for each store.
Top Positive Reviews: Highlight reviews with the highest ratings and most positive comments.
Top Negative Reviews: Highlight reviews with the lowest ratings and most critical comments.
Recurring Issues: Identify and display recurring complaints or issues across multiple reviews.
Review Management & Response:
Pending Responses: Show the number of reviews that have not been responded to.
Response Status: Indicator showing whether a review has been responded to (Yes/No).
Response Time: Calculate and display the average time taken to respond to reviews.
Auto-Response Suggestions: Implement pre-populated response templates for different types of reviews.
Action Items: Create a list of specific reviews that need immediate attention, especially negative reviews and unresolved issues.
Review Filtering & Sorting:
Filter by Date: Allow filtering of reviews by date range.
Filter by Rating: Provide the ability to filter reviews based on their rating (e.g., only 1-star reviews).
Sort by Recency: Include an option to sort reviews from newest to oldest or vice versa.
Sort by Rating: Include an option to sort reviews from highest to lowest rating or vice versa.
Comparative Analysis:
Store Comparison: Enable the comparison of reviews and ratings between different stores.
Location Performance: Include tools to compare store performance based on geographic regions or districts.
Benchmarking: Allow for the comparison of store performance against industry benchmarks or competitors.
Notifications & Alerts:
New Review Alerts: Set up notifications for new reviews, especially negative ones.
Response Alerts: Implement reminders for reviews that haven’t been responded to within a specified timeframe.
Sentiment Alerts: Set up alerts for sudden shifts in review sentiment (e.g., an increase in negative reviews).
Export & Reporting:
Data Export: Enable the export of review data and analytics into various formats (e.g., CSV, PDF).
Automated Reports: Implement the ability to schedule regular reports (weekly/monthly) summarizing review performance.
Custom Reports: Allow for the creation of custom reports based on specific criteria (e.g., store-specific performance, quarterly analysis).
Visualizations:
Heatmaps: Develop visual representations of review sentiment by location.
Graphs & Charts: Use bar charts, line graphs, and pie charts to visualize trends and data distributions.
Word Clouds: Include visualization tools like word clouds to display frequently mentioned keywords in reviews.
3. Technical Requirements:
Platform & Tools: Utilize Google My Business API, Zapier, ChatGPT, and any other relevant tools to achieve real-time data integration and automation.
Data Security: Ensure that all data is securely managed and that the privacy of customer reviews and responses is maintained.
Dashboard Platform: Develop the dashboard on a platform that supports real-time data visualization, such as Google Looker Studio, Power BI, or Tableau.
Scalability: Ensure the system can scale if more stores are added in the future.
4. Timeline:
Initial Setup & Integration: [Specify Timeframe]
Dashboard Development: [Specify Timeframe]
Testing & QA: [Specify Timeframe]
Final Delivery: [Specify Timeframe]
5. Freelancer Qualifications:
Experience with Google My Business API: Demonstrated ability to work with GMB API for data extraction and analysis.
Zapier Automation Expertise: Proven experience in setting up automations using Zapier, particularly for customer interactions and data integration.
Data Visualization Skills: Strong background in creating dashboards and data visualizations, with experience in tools like Google Looker Studio, Power BI, or Tableau.
AI Integration Experience: Experience in integrating AI-driven tools like ChatGPT into business workflows.
Objective:
The primary goal is to connect and manage 36 Google My Business (GMB) profiles for real-time tracking and analysis of review changes, and to implement automated responses to reviews using ChatGPT integrated with Zapier. The final output should be a comprehensive, real-time dashboard that provides actionable insights and automated review management.
1. Project Overview:
Connect 36 GMB Profiles: Establish connections to each of the 36 Google My Business profiles for real-time data integration.
Real-Time Data Dashboard: Develop a dashboard that displays key review metrics and trends across all stores in real time.
Automated Review Response: Implement ChatGPT integration via Zapier to automatically respond to reviews based on predefined templates and sentiment analysis.
Comprehensive Review Analysis: Include detailed review content analysis, filtering, sorting, and visualization tools.
2. Key Deliverables:
Overview & Summary Dashboard:
Total Reviews: Display the total number of reviews across all stores.
Average Rating: Calculate and display the overall average rating for all stores.
Total Reviews per Store: Break down the number of reviews for each store.
Average Rating per Store: Display the average rating for each individual store.
Review Trends: Include a graph showing the trend of reviews over time (e.g., weekly, monthly).
Store-Specific Details:
Store Name: List the name of each store.
Store Location: Display the address or location identifier for each store.
Number of Reviews: Show the total number of reviews for each store.
Average Rating: Display the average rating for each store.
Review Distribution: Provide a breakdown of 5-star, 4-star, 3-star, 2-star, and 1-star reviews for each store.
Review Content Analysis:
Most Common Keywords: Analyze and display frequently mentioned keywords or phrases in reviews.
Sentiment Analysis: Calculate and display the percentage of positive, neutral, and negative reviews for each store.
Top Positive Reviews: Highlight reviews with the highest ratings and most positive comments.
Top Negative Reviews: Highlight reviews with the lowest ratings and most critical comments.
Recurring Issues: Identify and display recurring complaints or issues across multiple reviews.
Review Management & Response:
Pending Responses: Show the number of reviews that have not been responded to.
Response Status: Indicator showing whether a review has been responded to (Yes/No).
Response Time: Calculate and display the average time taken to respond to reviews.
Auto-Response Suggestions: Implement pre-populated response templates for different types of reviews.
Action Items: Create a list of specific reviews that need immediate attention, especially negative reviews and unresolved issues.
Review Filtering & Sorting:
Filter by Date: Allow filtering of reviews by date range.
Filter by Rating: Provide the ability to filter reviews based on their rating (e.g., only 1-star reviews).
Sort by Recency: Include an option to sort reviews from newest to oldest or vice versa.
Sort by Rating: Include an option to sort reviews from highest to lowest rating or vice versa.
Comparative Analysis:
Store Comparison: Enable the comparison of reviews and ratings between different stores.
Location Performance: Include tools to compare store performance based on geographic regions or districts.
Benchmarking: Allow for the comparison of store performance against industry benchmarks or competitors.
Notifications & Alerts:
New Review Alerts: Set up notifications for new reviews, especially negative ones.
Response Alerts: Implement reminders for reviews that haven’t been responded to within a specified timeframe.
Sentiment Alerts: Set up alerts for sudden shifts in review sentiment (e.g., an increase in negative reviews).
Export & Reporting:
Data Export: Enable the export of review data and analytics into various formats (e.g., CSV, PDF).
Automated Reports: Implement the ability to schedule regular reports (weekly/monthly) summarizing review performance.
Custom Reports: Allow for the creation of custom reports based on specific criteria (e.g., store-specific performance, quarterly analysis).
Visualizations:
Heatmaps: Develop visual representations of review sentiment by location.
Graphs & Charts: Use bar charts, line graphs, and pie charts to visualize trends and data distributions.
Word Clouds: Include visualization tools like word clouds to display frequently mentioned keywords in reviews.
3. Technical Requirements:
Platform & Tools: Utilize Google My Business API, Zapier, ChatGPT, and any other relevant tools to achieve real-time data integration and automation.
Data Security: Ensure that all data is securely managed and that the privacy of customer reviews and responses is maintained.
Dashboard Platform: Develop the dashboard on a platform that supports real-time data visualization, such as Google Looker Studio, Power BI, or Tableau.
Scalability: Ensure the system can scale if more stores are added in the future.
4. Timeline:
Initial Setup & Integration: [Specify Timeframe]
Dashboard Development: [Specify Timeframe]
Testing & QA: [Specify Timeframe]
Final Delivery: [Specify Timeframe]
5. Freelancer Qualifications:
Experience with Google My Business API: Demonstrated ability to work with GMB API for data extraction and analysis.
Zapier Automation Expertise: Proven experience in setting up automations using Zapier, particularly for customer interactions and data integration.
Data Visualization Skills: Strong background in creating dashboards and data visualizations, with experience in tools like Google Looker Studio, Power BI, or Tableau.
AI Integration Experience: Experience in integrating AI-driven tools like ChatGPT into business workflows.