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Review Request Automation

Example prompt: "A week after a Shopify order is delivered, email the customer asking for a product review. If they reply with a positive review, log it in a Google Sheet for our testimonials page."

How to automate review requests with GloriaMundo

The Problem

Product reviews are critical social proof — they directly influence purchase decisions and improve search visibility. Yet most shops collect only a fraction of the reviews they could, because asking for them consistently is tedious. Manually emailing each customer after delivery, tracking who has been asked, and routing the responses to the right place takes time that small teams do not have. Dedicated review platforms charge monthly fees and often lock you into their ecosystem. The result: thin review coverage across your catalogue, especially for newer products.

How GloriaMundo Solves It

We build a workflow that sends a review request email at the right moment — shortly after delivery, when the customer has had a chance to use the product. An integration step monitors Shopify for orders that were delivered a set number of days ago (e.g. 7 days). A code step filters out customers who have already been asked, have already left a review, or have opted out of marketing contact. The LLM-drafted request explains clearly how the review may be used and asks the customer to tick a short consent line if they are happy for their review to appear publicly on the testimonials page. When a reply comes in, a conditional step checks both the sentiment (positive vs negative) and the consent response. All persisted review quotes are redacted before storage — personal details such as email addresses, order numbers, and full names are stripped from the quote regardless of publication consent. Positive reviews with consent are logged to a Google Sheet flagged for public testimonial use, while positive reviews without consent stay private and are only shared internally (still stored in their redacted form). Negative responses are not stored long-term in identifiable form; instead they are delivered to the support team via an ephemeral channel (e.g. a Slack notification or transient ticket) that includes the customer contact details needed for follow-up, and no long-term storage of unredacted PII occurs unless the case is explicitly escalated under a documented retention policy. Negative reviews are never published.

Example Workflow Steps

  1. Trigger (scheduled): Runs daily, checking for orders delivered 7 days ago.
  2. Step 1 (integration): Pull fulfilled orders from Shopify that were delivered 7 days ago.
  3. Step 2 (code): Filter out customers already contacted, those who have already left a review, and anyone flagged as opted out of marketing contact.
  4. Step 3 (llm): Write a short, personalised review request email referencing the specific product purchased and asking the customer to confirm if they are happy for their review to appear publicly.
  5. Step 4 (integration): Send the review request via Gmail.
  6. Step 5 (state): Record which customers were contacted.
  7. Step 6 (conditional): When a reply is received, classify the sentiment as positive or negative and detect whether the customer consented to public use.
  8. Step 7 (code): For any review quote being stored (regardless of publication consent), strip personal details (email addresses, order numbers, full names) from the quote before storage. In this workflow, "redaction" means sanitising the persisted quote payload by removing the reviewer's email address, the associated order number, and any full names mentioned in the body, replacing each with a neutral placeholder, so the stored quote contains only the review text and product reference.
  9. Step 8 (integration): Log redacted positive reviews to a Google Sheet — flag consented reviews as cleared for public testimonial use and notify #marketing on Slack, while keeping non-consented positive reviews internal-only (still redacted before storage). Route negative feedback to #support for direct follow-up.

Integrations Used

  • Shopify — source of order and fulfilment data to identify delivery timing
  • Gmail — sends the review request email and receives replies
  • Google Sheets — stores collected reviews for testimonials and marketing use
  • Slack — notifies the team of new positive reviews and flags negative feedback

Who This Is For

E-commerce store owners and marketing teams who want to systematically collect product reviews without paying for a dedicated review platform. Especially useful for shops launching new products that need early reviews, or established shops with a large catalogue where many products lack sufficient review coverage.

Time & Cost Saved

Manually tracking deliveries and sending individual review requests is impractical beyond a handful of orders per day. This workflow handles it automatically for every order. Shops using automated review requests typically collect 4-6 times more reviews than those relying on organic submissions. More reviews mean higher conversion rates — even a small uplift in product page trust signals compounds across your entire catalogue. The workflow uses integration, code, state, conditional, and LLM steps, costing a few credits per daily run.