Review Request Optimizer

Other

Optimize review request timing, channel, and messaging to maximize review collection rates and star ratings.

Install

openclaw skills install aes-review-request-optimizer

Review Request Optimizer

Customer reviews are the single most influential conversion factor on marketplace product pages, yet most sellers either never ask for reviews or ask at the wrong time through the wrong channel with generic messaging. This skill designs a data-informed review request strategy that identifies the optimal moment to ask each customer segment for a review, selects the highest-performing channel for each request, and crafts messaging that encourages detailed, authentic feedback while maintaining compliance with platform review policies.

Use when

  • A seller says "I am only getting reviews on 2 percent of my orders" or "my competitors have 500 reviews and I have 30" and needs a systematic plan to increase review collection rate without violating Amazon or TikTok Shop review policies
  • A Shopify store owner asks "when is the best time to send a review request email" and needs specific timing recommendations based on product category, delivery speed, and customer segment behavior patterns
  • An ecommerce manager wants to set up a multi-channel review request flow that uses email as the primary channel, SMS as a follow-up for non-openers, and in-package inserts as a passive reminder for physical product orders
  • A brand team needs to improve their average star rating by adjusting which customers receive review requests, filtering out likely-dissatisfied buyers based on support ticket history and delivery delay signals before sending the ask

What this skill does

This skill takes your current review metrics, product category, fulfillment timeline, and available communication channels to build a complete review request optimization plan. It calculates the ideal send window for each product type based on typical usage-to-satisfaction curves, designs a multi-touch sequence with escalation logic for non-responders, segments your customer base to prioritize high-satisfaction buyers for early requests, and provides message templates with personalization tokens. The analysis also covers platform-specific compliance guardrails for Amazon Vine, TikTok Shop review incentives, Shopee review programs, and general marketplace terms of service to ensure your strategy stays within policy boundaries.

Inputs required

  • Current review rate and average rating (required): Your baseline metrics, e.g. "review rate 3.2%, average 4.1 stars across 850 orders last quarter." This establishes the improvement baseline and identifies whether the primary problem is volume, rating, or both.
  • Product category and typical usage timeline (required): What you sell and how long it typically takes customers to form an opinion, e.g. "protein powder, customers usually try for 1-2 weeks before judging" or "phone case, opinion forms immediately on unboxing."
  • Average delivery timeline (required): Days from order to doorstep, e.g. "2-4 days domestic via USPS Priority." This anchors the post-delivery timing window for review requests.
  • Primary sales platform (required): Where most reviews need to appear, e.g. "Amazon US," "Shopify with Judge.me," or "TikTok Shop." Platform-specific compliance rules and review collection mechanics differ significantly.
  • Available channels for outreach (optional): Email, SMS, push, in-package QR codes, WhatsApp. If omitted, the plan defaults to email with supplementary channel recommendations.

Output format

The output contains five sections. First, a Timing Strategy table mapping each product type or category to its optimal review request window, expressed as days after confirmed delivery, with reasoning based on the usage-to-satisfaction curve. Second, a Segmentation Framework that categorizes customers into priority tiers for review requests based on order value, repeat purchase status, support ticket history, and delivery experience quality. Third, a Multi-Touch Sequence with three to five touchpoints per segment, specifying channel, timing, subject line or message preview, and escalation or suppression rules. Fourth, a Message Template Library with three to four customizable review request templates per channel, each including personalization tokens, a clear call-to-action, and compliance-safe language. Fifth, a Compliance Checklist covering platform-specific rules on incentivized reviews, review gating, and prohibited language for the seller's primary marketplace.

Scope

  • Designed for: ecommerce sellers, Amazon FBA operators, Shopify store owners, marketplace brand managers
  • Platform context: Amazon, TikTok Shop, Shopee, Shopify with review apps (Judge.me, Loox, Yotpo)
  • Language: English

Limitations

  • Does not integrate directly with review management tools or email service providers; delivers a strategy document you implement in your existing stack
  • Optimal timing recommendations are based on category benchmarks and general consumer behavior research, not your store's historical A/B test data
  • Cannot predict individual customer review sentiment or guarantee star rating improvements