Review Management Software for Akitu One users

Encore plus avis 5 étoiles avis vos patients sur Google, Healthgrades et Zocdoc, sans que cela n'alourdisse la charge de travail de votre cabinet.

Ils adorent la simplicité de notre solution

Every patient gets asked. Automatically.
When a cleaning, crown, filling, implant, or any treatment is completed in Akitu One, Reviewflowz instantly sends a review request to your patient via email, SMS, or WhatsApp. Set it up once and every single patient gets asked for a Google, Healthgrades, or Zocdoc review. No manual work, no forgotten follow-ups, just consistent 5-star reviews flowing in.
Your happiest patients, flagged in Akitu One
When a patient leaves a 5-star Google review, that signal flows right back into Akitu One, attached to their patient record. Now your front desk knows who your biggest fans are. Ask them for a video testimonial, a referral, or to share their implant success story with other patients.
Mention du personnel sans citer de noms
Most dental practices ask patients to mention their dentist, hygienist, or orthodontist by name in reviews. Problem: Google flags those reviews more often, and patients forget or misspell names. Reviewflowz takes a different approach. Because it's connected to Akitu One, it already knows which provider handled each appointment. When the review comes in, it's automatically attributed with no name needed. Your reviews read naturally, fewer get removed, and you still get per-provider performance breakdowns for coaching and bonuses.
À quel point prenez-vous vos avis au sérieux?
Lancez-vous en quelques minutes • Passez à la version supérieure quand vous serez prêt
Reviews per appointment. The metric that matters.
A dental practice with 150 reviews sounds impressive until you realize they've seen 12,000 patients. That's a 1.3% conversion rate. Your competitor down the street has 65 reviews from 1,200 patients. a 5.4% rate, and they're winning. Because Reviewflowz connects to Akitu One, it knows exactly how many appointments you completed. So instead of celebrating raw numbers, you see: 342 appointments this month, 47 reviews, 13.7% conversion rate. That's the number you optimize against.
L'IA répond automatiquement à chaque avis.
Replying to patient reviews improves your Google rankings and builds trust with potential patients, but no dentist or hygienist has time to craft thoughtful responses to every single review across Google, Healthgrades, Zocdoc, and other platforms. Reviewflowz uses AI to generate professional, on-brand replies that sound like they came from your practice. You can review and approve each response or let them publish automatically, ensuring no patient review ever goes unanswered.

FAQ

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Quels sont les sites d'avis les plus importants pour les cabinets dentaires ?
Google Reviews is always your #1 priority since patients search there first, but Healthgrades, Zocdoc, Yelp, and Facebook are crucial for domain authority and industry-specific searches where patients compare dental providers for cleanings, implants, orthodontics, and other services. Whether you're a solo practice or DSO, these platforms significantly impact your online reputation when patients research crowns, fillings, oral surgery, or periodontic treatments. Reviewflowz monitors all these key platforms plus 200+ others from one centralized dashboard, so you never miss a review that could impact your practice growth.
Comment puis-je évaluer mes performances en matière d'avis ?
Most dental practices make the mistake of counting total reviews, but raw numbers are meaningless without knowing your patient volume. Because Reviewflowz integrates directly with Akitu One, we automatically calculate your review conversion rate by dividing your reviews by your total patient appointments. A practice with 50 reviews from 500 patients (10% conversion) is dramatically outperforming one with 200 reviews from 10,000 patients (2% conversion).
Comment la demande de révision est-elle envoyée concrètement ?
When you mark an appointment as completed, treatment as finished, or cleaning as done in Akitu One, Reviewflowz automatically triggers a review request to that patient via your chosen channel: email, SMS, or WhatsApp. You configure this once by selecting your trigger event and preferred communication method, then every patient gets sent a review request automatically from that point forward. It's completely hands-off once set up.
Puis-je envoyer des demandes d'avis via WhatsApp ?
Yes, Reviewflowz supports WhatsApp review requests with nearly 98% open rates, significantly higher than email. WhatsApp requests are automatically triggered from Akitu One when appointments are completed, treatments finished, or cleanings done, just like email and SMS. This is especially effective in markets where WhatsApp is the primary communication channel.
Puis-je savoir quel dentiste, hygiéniste dentaire ou orthodontiste génère le plus avis?
Yes, Reviewflowz automatically tracks review performance by provider by connecting directly to your Akitu One dental software to identify which dentist, hygienist, or orthodontist handled each patient appointment. When reviews come in, they're automatically attributed to the correct provider without patients needing to mention names, giving you detailed performance tracking for each team member. This automatic attribution also helps avoid Google's tendency to flag reviews that specifically mention staff names.
How long does it take to set up Reviewflowz with Akitu One?
Setting up Reviewflowz with Akitu One takes just minutes, not days. Simply connect your Akitu One system, choose your trigger and communication channel, and you're live with no developer or IT support needed. Your first review request goes out the same day.
Combien coûtent les e-mails et les SMS de demande d'avis ?
Review request emails cost $5 per 1,000 emails and SMS costs $5 per 100 messages on a pay-as-you-go basis with no monthly minimums or contracts. For most dental practices, this works out to just pennies per review collected. WhatsApp pricing varies by country but follows the same pay-as-you-go model.