Best Practices for Rules
After extensive collaboration with pilot customers, Sparrow Intel and our clients have curated a series of "best practices" and illustrative scenarios showcasing some examples of Sparrow's robust rules engine.
Here are some examples for your consideration 😊:
Positive Prediction Rule:
To encourage positive review engagement, consider dispatching a follow-up message to guests approximately 24 hours post-check-out, inviting them to share feedback on OTAs like Google. Simultaneously, activate the "auto-review" feature* exclusively for guests deemed likely to provide positive feedback. This targeted approach ensures that review requests align with guests' experiences, streamlining the process and enhancing overall satisfaction.
Negative Prediction Rule:
In anticipation of potential negative reviews, deactivate the "auto-review" feature* for relevant reservations and prompt internal notifications for immediate action. Proactively reach out to guests before they publicly review their stay, providing them with an opportunity to express concerns privately via phone or messaging. This preemptive measure mitigates negative feedback and demonstrates a commitment to resolving issues promptly.
Cleaning and/or Maintenance Issues Rule:
Utilize Sparrow's review predictions to identify any cleaning or maintenance issues discussed in guest communications. Establish a rule to convert these issues into actionable tasks assigned to your cleaning/maintenance team within your PMS or forthcoming integration with Breezeway. This automated workflow facilitates swift resolution, enhancing operational efficiency and guest satisfaction.
Auto Respond Rule*:
Leverage Sparrow's rules engine to craft automated responses to guest reviews, tailored to your preferences. While the option exists to respond to all reviews, we recommend activating this feature solely for positive feedback, or as per your specific criteria. This selective approach ensures timely acknowledgment of positive sentiments, while allowing you to customize your response in Sparrow - or use ChirpAI - to address more negative reviews.
Feel free to incorporate these examples into your strategies!
*= Guesty users only (Auto Respond only for Airbnb and Booking.com reviews)