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Manage Customer Review Requests with Automations

Use the Automations platform to collect customer feedback and reengage past customers

Customer reviews play a critical role in building trust, improving operations, and generating repeat business. With Automations, you can proactively manage review requests and follow-ups without relying on manual reminders or one-off outreach.

This article walks through how moving companies can use Automations to collect feedback at the right moment, respond intelligently to positive and negative reviews, and turn satisfied customers into referral opportunities.

Why Use Automations for Reviews?

Automations help you:

  • Collect reviews consistently after a move

  • Respond differently based on review sentiment

  • Ensure negative feedback is addressed quickly

  • Reengage happy customers while the experience is still fresh

  • Remove manual steps from your post-move workflow

By tying review actions to clear triggers, you create a repeatable, professional follow-up process that runs in the background.

Insert Loom video - walk through templates


Common Review-Based Automation Use Cases

Below are examples of automation templates designed specifically around customer reviews.


Ask for a Referral After a Five-Star Review

This automation is ideal for extending the customer relationship after a positive experience.

How it works:

  • A customer submits a five-star review

  • The automation enrolls them automatically

  • After a short delay (for example, 5 days), an email or text is sent asking for a referral

Why it’s effective:

  • The request is timed when customer satisfaction is highest

  • The message feels personal, not automated

  • It helps generate warm leads from existing customers

This approach turns positive feedback into measurable growth.


Create Internal Follow-Up Tasks for Negative Reviews

Not all feedback should trigger customer-facing messages. For lower-rated or negative reviews, Automations can focus on internal accountability instead.

Set Review Submitted as the trigger event, with conditions based on the customer's provided star rating .

How it works:

  • A customer submits a negative review

  • The automation creates a task for a manager or team member (such as the Sales Owner)

  • Your team follows up manually with a phone call or personalized outreach

Why it’s effective:

  • Ensures no negative feedback slips through the cracks

  • Creates a clear ownership process for resolution

This allows your team to address concerns thoughtfully and protect your brand reputation.


How Review Automations Are Structured

Each review-based automation follows the same basic structure:

  1. Name & Description
    Clearly define what the automation does (for example, “Ask for referral from five-star review”).

  2. Enrollment Trigger
    The automation enrolls when a review is submitted that meets specific criteria (rating, source, or sentiment).

  3. Automation Steps
    Actions may include:

    • Sending an email or SMS

    • Creating a task

    • Adding or removing tags

    • Updating job or customer records

  4. Timing Controls
    Delays and Quiet Hours ensure messages are sent at appropriate times.


Best Practices for Review Automations

  • Use delays so messages don’t feel immediate or robotic

  • Separate positive and negative review workflows

  • Keep referral requests short and friendly

  • Route negative feedback to internal tasks, not automated replies

  • Review performance metrics to see how often these automations run


Bringing It All Together

Automations allow you to treat customer feedback as part of a structured, scalable process rather than a manual chore. Whether you’re encouraging referrals from happy customers or ensuring quick follow-up on negative experiences, review-based automations help you stay responsive, professional, and consistent—without adding work for your team.

As your business grows, these workflows ensure no review is missed and every customer experience continues to drive improvement and opportunity.

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