Customer feedback trends analysis

Purpose

1. Automated aggregation and analysis of customer feedback from multiple channels to uncover satisfaction trends, highlight issues, and inform HVAC duct cleaning service improvements.

2. Real-time identification of common pain points and positive experiences for operational refinement and targeted marketing.

3. Generate actionable visual reports and summaries to support management decisions in air duct cleaning businesses.

Trigger Conditions

1. New customer review is submitted via a third-party platform (e.g., Google, Yelp).

2. Feedback or survey response received via website forms, email, SMS, or CRM.

3. Regular time-based schedule (e.g., daily or weekly digest for accumulated feedback).

4. Manual team member request to analyze new data batch.

Platform Variants

1. Google My Business API

• Feature/Setting: ‘Accounts Locations Reviews list’; configure with business location ID to fetch new reviews.
  

2. Yelp Fusion API

• Feature/Setting: ‘Business Reviews endpoint’; provide business alias to list latest reviews.
  

3. Trustpilot Business API

• Feature/Setting: ‘Get reviews’; set up with business unit ID for ongoing feedback collection.
  

4. Facebook Graph API

• Feature/Setting: ‘/{page-id}/ratings’; automate periodic polling for new user recommendations and star ratings.
  

5. HubSpot CRM

• Feature/Setting: ‘Get recent engagements’ API; filter by feedback and survey response properties.
  

6. Salesforce Service Cloud

• Feature/Setting: ‘Query Feedback Objects’; retrieve relevant cases or feedback note records.
  

7. Mailchimp

• Feature/Setting: ‘Campaign Reports’ API; extract survey results or feedback from email campaigns.
  

8. SurveyMonkey API

• Feature/Setting: ‘Get Survey Responses’; configure with survey ID and pull recent responses.
  

9. Typeform Connect API

• Feature/Setting: ‘Responses endpoint’; schedule pulls of all new submissions tagged as feedback.
  

10. Google Forms via Google Sheets API

• Feature/Setting: ‘Sheets: Spreadsheets.Values.get’; connect to feedback spreadsheet and monitor changes.
  

11. Zendesk

• Feature/Setting: ‘Tickets API’; filter for support tickets tagged with survey results or NPS feedback.
  

12. Freshdesk

• Feature/Setting: ‘List Tickets’; set up filter to retrieve customer conversations with ratings/comments.
  

13. Intercom

• Feature/Setting: ‘Get Conversations’; scan for messages with feedback or designated feedback tags.
  

14. Twilio SMS

• Feature/Setting: ‘Fetch Message Logs’; look for inbound texts responding to satisfaction surveys.
  

15. CallRail

• Feature/Setting: ‘Call Transcription API’; parse and analyze transcripts of post-service calls for sentiment.
  

16. Microsoft Power BI

• Feature/Setting: ‘Streaming Dataset API’; configure to receive processed analytics and display dashboards.
  

17. Tableau

• Feature/Setting: ‘Tableau REST API – Data Sources’; push summarized analytic results for report visualization.
  

18. Slack

• Feature/Setting: ‘Incoming Webhooks’; send instant alerts of negative or trending feedback to management channel.
  

19. Notion

• Feature/Setting: ‘Database API’; log, tag, and structure parsed customer feedback for team visibility.
  

20. Monday.com

• Feature/Setting: ‘Create Item’ API; automatically create feedback records for accountability and tracking.
  

21. Pipedrive

• Feature/Setting: ‘Activities API’; attach feedback notes to customer deals for better service context.
  

22. Zapier Webhooks

• Feature/Setting: ‘Catch Hook’; integrate new feedback streams from disparate or custom sources for automation.
  

Benefits

1. Lightning-fast surfacing of key feedback trends and insights.

2. Elimination of manual collation and duplicate entry across platforms.

3. Proactive issue resolution from early warning via reported patterns.

4. Data-driven business decisions based on consolidated and visualized evidence.

5. Increased customer satisfaction and loyalty through informed improvements.