Client feedback aggregation and sentiment tracking

Purpose

1.1 Aggregate client feedback from multiple channels (email, forms, chat, social, review sites) for advertising agency customer support; continuously track sentiment to measure satisfaction, identify issues, and optimize campaign performance.
1.2 Enable real-time detection of negative feedback, escalation to support, periodic insights on sentiment trends, and workflow triggers for client retention or upsell opportunities.
1.3 Standardize feedback data, auto-categorize by sentiment/theme, and integrate results into dashboards for executives and account teams.

Trigger Conditions

2.1 New response submitted through agency contact or feedback forms.
2.2 Incoming direct message mentioning campaign/service from client on social or messaging apps.
2.3 New review posted for agency/brand profiles (Google, Trustpilot, Yelp, etc.).
2.4 Tag with "feedback", "complaint", or "praise" in ticketing system or CRM.
2.5 Keyword match for campaign names or negative/positive phrases in email subject/body.

Platform Variants

3.1 Gmail API
• Feature: Watch for new label 'Feedback'; fetch and parse matched emails.
• Sample: Use messages.list, filter: "label:Feedback is:unread".
3.2 Google Forms
• Feature: On new form response; get payload for feedback integration.
• Sample: Configure Google Forms "On Submit" trigger to send response to webhook.
3.3 Typeform
• Feature: Webhook on submit, auto-forward responses with hidden context fields.
• Sample: Enable Typeform Webhook to POST JSON to automation endpoint.
3.4 Zendesk Support
• Feature: Trigger on new or updated support ticket with "client_feedback" tag.
• Sample: Use Ticket Create/Update trigger; filter custom tag.
3.5 Intercom
• Feature: Listen for new conversation created in feedback inbox.
• Sample: Use Intercom conversations webhook, filter for selected team.
3.6 Freshdesk
• Feature: Trigger automation on ticket note/feedback entry.
• Sample: Configure Observer rule for note tagged as 'review'.
3.7 Slack
• Feature: Slash command or message to #client-feedback channel triggers workflow.
• Sample: Listen for /feedback submissions or channel message added event.
3.8 Microsoft Teams
• Feature: Incoming message in "Customer Voices" channel processed for sentiment.
• Sample: Set up webhook subscription for channel message created, filter on channel.
3.9 WhatsApp Business API
• Feature: Trigger on new incoming message from client contact.
• Sample: Listen to webhook events for 'messages' resource, apply text filter.
3.10 Facebook Messenger Platform
• Feature: Webhook for any new page message referencing 'feedback' or campaign keyword.
• Sample: Page webhook, handle messaging event with keyword match.
3.11 Twitter API (X)
• Feature: Listen for new mention or DM with brand or campaign hashtag.
• Sample: Setup filtered stream or webhook for direct messages with matched text.
3.12 Google My Business API
• Feature: Monitor creation of new review.
• Sample: Use locations.reviews.list for changed/new reviews.
3.13 Trustpilot API
• Feature: Fetch new business reviews regularly; parse rating and text.
• Sample: Use /v1/business-units/{id}/reviews endpoint with min_date param.
3.14 Yelp Fusion API
• Feature: Poll for recent business reviews with a rating and client comment.
• Sample: GET /businesses/{id}/reviews, poll for new records.
3.15 HubSpot CRM
• Feature: Create timeline event for feedback submission; auto-tag by sentiment.
• Sample: Use engagement API; POST to /engagements/v1/engagements.
3.16 Salesforce Service Cloud
• Feature: Case created/updated with "client-feedback" custom field or record type.
• Sample: Trigger on Case object creation; filter by Type or custom field.
3.17 Zoho CRM
• Feature: Feedback form in Client Portal; trigger workflow on new entry.
• Sample: Use Workflow Rule on custom module 'Feedback' for new record.
3.18 SurveyMonkey
• Feature: Webhook for completed survey, push response details to endpoint.
• Sample: Configure Collector Webhook; POST on survey completion.
3.19 Snowflake
• Feature: Store parsed feedback, run scheduled sentiment analysis job.
• Sample: Ingest feedback via REST endpoint, scheduled SQL sentiment function.
3.20 Azure Text Analytics (Sentiment API)
• Feature: Determine sentiment score for each feedback text.
• Sample: Use /text/analytics/v3.0/sentiment endpoint on message payload.
3.21 Google Cloud Natural Language
• Feature: Analyze sentiment and entities in feedback comment.
• Sample: POST to /v1/documents:analyzeSentiment with comment text.
3.22 AWS Comprehend
• Feature: Perform sentiment detection, entity extraction, key phrase identification.
• Sample: Use DetectSentiment and DetectEntities APIs on feedback text.

Benefits

4.1 Unifies all feedback in one workflow for fast, comprehensive insights.
4.2 Accelerates negative sentiment alerts, enabling rapid resolution and higher retention.
4.3 Ensures all platforms are included—minimizing blind spots for the agency.
4.4 Delivers quantifiable sentiment and trend data for campaign optimization.
4.5 Drives actionable intelligence for upsell, churn prevention, and executive reporting.
4.6 Fosters continuous improvement in customer support and service delivery.