Review and user-generated content collection requires monitoring multiple channels, manually extracting data, and verifying submissions before publication. The process is fragmented, time-consuming, and prone to errors and duplicates.
Automation consolidates all review sources, validates customer identity, detects duplicates, enriches metadata, and routes flagged content for approval. Approved reviews sync automatically to the CRM and database, reducing manual entry and publication time.
The full workflow, from trigger to completion.
A new review arrives via email, form, social media, or review platform API. The automation platform detects the submission and extracts the review text, customer name, rating, and source.
The automation analyzes the review for completeness, sentiment, and potential issues. It cross-references the customer email against to verify the customer exists and enriches the record with product category and purchase history.
The automation queries to check if a similar review from the same customer already exists. If a duplicate is found, it is logged and skipped.
The automation reformats the review text for consistency, applies sentiment tags, and assigns it to a product category or theme based on the content.
If the review contains negative sentiment, profanity, or unverified claims, it is flagged and sent for manager review. Clean reviews proceed directly to publication.
Approved reviews are automatically created as contacts or deals with all enriched metadata, tags, and publication status.
A final record is written with the review ID, customer name, rating, source, publication date, and approval status for audit and reporting.
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