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Reviewflowz monitors all major hospitality platforms plus 200+ additional sites from one dashboard, so reviews from industry-specific sites like Booking.com or restaurant platforms automatically get tracked alongside general review sites without requiring separate monitoring tools."}},{"@type":"Question","name":"How do I measure review performance with Hazlnut integration?","acceptedAnswer":{"@type":"Answer","text":"Review conversion rate equals total reviews divided by total Hazlnut transactions like completed reservations, checkouts, or dining covers. A hotel collecting 100 reviews from 5,000 guests shows 2% conversion, while another with 50 reviews from 1,000 guests achieves 5% and likely generates better booking results per review. Reviewflowz automatically calculates these rates using your actual Hazlnut transaction data, then breaks down performance by staff member, location, and time period so you can identify which operations and team members generate reviews most effectively."}},{"@type":"Question","name":"How do review requests get triggered from Hazlnut?","acceptedAnswer":{"@type":"Answer","text":"Review requests send automatically when guests complete specific actions in Hazlnut like finishing checkout, ending reservations, or completing dining experiences. You configure the trigger once by selecting which Hazlnut events should prompt review requests and choosing email, SMS, or WhatsApp delivery. After setup, every guest automatically receives review requests based on their actual interaction completion without any manual staff work. The timing ensures requests reach guests when their experience is fresh and they can provide detailed, authentic feedback."}},{"@type":"Question","name":"Does Hazlnut integration support WhatsApp review requests?","acceptedAnswer":{"@type":"Answer","text":"Yes, WhatsApp review requests work with all Hazlnut triggers like completed checkouts, finished reservations, and ended dining experiences. WhatsApp achieves nearly 98% open rates compared to roughly 20% for email, making it particularly effective for hospitality businesses serving international guests or markets where WhatsApp dominates communication. Pricing varies by country but follows the same pay-as-you-go model as email and SMS, with no monthly minimums or contracts required for any messaging channel."}},{"@type":"Question","name":"Can I track which Hazlnut staff generate the most reviews?","acceptedAnswer":{"@type":"Answer","text":"Yes, reviews automatically attribute to the correct server, host, or manager using Hazlnut's staff assignment data without requiring guests to mention employee names in their feedback. This prevents Google from flagging reviews for containing specific names while still providing accurate staff performance tracking. 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Your first review requests begin sending the same day guests complete their selected trigger actions, with full staff attribution and conversion rate tracking active from day one."}},{"@type":"Question","name":"What do Hazlnut review requests cost per guest?","acceptedAnswer":{"@type":"Answer","text":"Email review requests cost $5 per 1,000 sent and SMS requests cost $5 per 100 sent, with no monthly minimums, contracts, or setup fees. For most hospitality businesses, this equals just pennies per review actually collected. WhatsApp pricing varies by country but uses the same pay-as-you-go structure. 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When guests complete checkouts, finish dining, or end their stays in Hazlnut, Reviewflowz automatically sends review requests via email ($5 per 1,000), SMS ($5 per 100), or WhatsApp. The system triggers instantly from your existing Hazlnut workflows without requiring staff intervention. Your front desk, servers, and managers continue their normal routines while every single guest receives a properly timed review request. This automation captures feedback from guests when their experience is fresh, leading to more detailed and authentic reviews across Google, TripAdvisor, and other platforms that matter most for hospitality bookings.
Identify your best guests in Hazlnut profiles
Five-star reviewers get automatically flagged directly in their Hazlnut guest profiles when they leave positive feedback on Google, Yelp, or TripAdvisor. This integration lets your host staff instantly recognize returning promoters at check-in and your managers can prioritize these guests for special treatment. Instead of guessing which diners loved their experience, you have concrete proof of satisfaction linked to their reservation history. Use these insights to request video testimonials, ask for referrals to friends, or invite them to special events. Your most satisfied guests become identifiable assets rather than anonymous positive reviews.
Staff review attribution without guest name-dropping
Reviews automatically connect to the right server, host, or manager using Hazlnut's staff assignment data rather than asking guests to mention names. This approach prevents the common problem of Google flagging and removing reviews that specifically mention employee names. When your server handles a table in Hazlnut, any resulting reviews get attributed to them automatically without requiring guests to remember or spell names correctly. Your team gets accurate performance tracking while reviews read naturally and avoid removal. Individual staff metrics become available through detailed reports filtered by time period, location, and review platform.
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Your actual review performance gets calculated as reviews collected divided by total Hazlnut reservations, checkouts, and dining covers. A restaurant with 150 reviews from 2,000 guests shows a 7.5% conversion rate, matching Reviewflowz's customer average. But another location with 80 reviews from 400 guests achieves 20% conversion and likely generates more bookings per review. Because Reviewflowz connects directly to your Hazlnut transaction data, you see true performance metrics rather than meaningless raw numbers. Filter conversion rates by individual staff members, specific locations, or date ranges to identify which operations and team members excel at generating reviews.
AI review responses for hospitality platforms
Every review across Google, TripAdvisor, OpenTable, Yelp, and 200+ other platforms gets an AI-generated response in your hospitality brand voice. The system learns your tone from existing responses and creates appropriate replies for positive guest feedback, constructive criticism, and negative experiences. You can approve responses manually or let them publish automatically to maintain consistent engagement. Responding to reviews signals active management to both future guests and search algorithms, helping your hospitality business appear more trustworthy and attentive. This saves your staff hours weekly while ensuring no guest feedback goes unacknowledged across any platform.
FAQs
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What review platforms matter most for Hazlnut hospitality businesses?
Google Reviews impacts your local search visibility most directly, but TripAdvisor, OpenTable, Yelp, and Facebook drive significant hospitality bookings since travelers actively research accommodations and dining on these platforms. Each platform serves different guest research behaviors, from local searches to vacation planning. Reviewflowz monitors all major hospitality platforms plus 200+ additional sites from one dashboard, so reviews from industry-specific sites like Booking.com or restaurant platforms automatically get tracked alongside general review sites without requiring separate monitoring tools.
How do I measure review performance with Hazlnut integration?
Review conversion rate equals total reviews divided by total Hazlnut transactions like completed reservations, checkouts, or dining covers. A hotel collecting 100 reviews from 5,000 guests shows 2% conversion, while another with 50 reviews from 1,000 guests achieves 5% and likely generates better booking results per review. Reviewflowz automatically calculates these rates using your actual Hazlnut transaction data, then breaks down performance by staff member, location, and time period so you can identify which operations and team members generate reviews most effectively.
How do review requests get triggered from Hazlnut?
Review requests send automatically when guests complete specific actions in Hazlnut like finishing checkout, ending reservations, or completing dining experiences. You configure the trigger once by selecting which Hazlnut events should prompt review requests and choosing email, SMS, or WhatsApp delivery. After setup, every guest automatically receives review requests based on their actual interaction completion without any manual staff work. The timing ensures requests reach guests when their experience is fresh and they can provide detailed, authentic feedback.
Does Hazlnut integration support WhatsApp review requests?
Yes, WhatsApp review requests work with all Hazlnut triggers like completed checkouts, finished reservations, and ended dining experiences. WhatsApp achieves nearly 98% open rates compared to roughly 20% for email, making it particularly effective for hospitality businesses serving international guests or markets where WhatsApp dominates communication. Pricing varies by country but follows the same pay-as-you-go model as email and SMS, with no monthly minimums or contracts required for any messaging channel.
Can I track which Hazlnut staff generate the most reviews?
Yes, reviews automatically attribute to the correct server, host, or manager using Hazlnut's staff assignment data without requiring guests to mention employee names in their feedback. This prevents Google from flagging reviews for containing specific names while still providing accurate staff performance tracking. Individual team member metrics appear in detailed reports showing review counts, conversion rates, and average ratings filtered by location, time period, and review platform, so you can identify top performers and coach team members who need support.
How long does Hazlnut integration setup take with Reviewflowz?
Setup completes in under 15 minutes without requiring developer support or IT involvement. You connect your Hazlnut account, select which events trigger review requests (checkouts, completed reservations, finished dining), choose your messaging channel (email, SMS, or WhatsApp), and you're operational immediately. Your first review requests begin sending the same day guests complete their selected trigger actions, with full staff attribution and conversion rate tracking active from day one.
What do Hazlnut review requests cost per guest?
Email review requests cost $5 per 1,000 sent and SMS requests cost $5 per 100 sent, with no monthly minimums, contracts, or setup fees. For most hospitality businesses, this equals just pennies per review actually collected. WhatsApp pricing varies by country but uses the same pay-as-you-go structure. You only pay for requests actually sent to guests, not for platform monitoring, AI responses, or staff attribution features, making costs predictable based on your actual Hazlnut guest volume.
