Notes on replying faster, booking more, and losing fewer clients to silence.
A patient messaged at 2:14 PM and got her answer at 3:40. Nobody wrote that down. Meta already grades your Page on reply speed and its threshold is fifteen minutes, so here's where that number comes from, why your average is the kindest figure in the set, what has to be in a first reply, and what each level of speed actually costs a two-chair clinic.
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A patient asks magkano, you answer ₱1,500, she says ok po salamat, and the thread closes. It doesn't look like a lost booking, which is why nobody counts it. Here are the six ways an enquiry dies in a Philippine clinic's inbox, an hour-long audit that tells you which one is yours, and why the fix is usually free.
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An AI receptionist answers in ten seconds, and from the outside you can't tell whether it read your calendar or just wrote a good sentence. Here is one patient message followed all the way to a booked appointment, and the four jobs the software cannot do.
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Your Messenger reminders may have stopped going out in February, and nothing would have told you, because Meta retired the tag they depended on. Here is what each channel can actually carry: the three gates a reminder has to pass, why the day-before message sits outside Messenger's free window by definition, and what a Viber sender name really costs a small clinic.
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A price question at 10:47 PM, a "may slot ba bago mag-work?" at 6:12 AM, a braces enquiry that lands on Good Friday. All three get the same reply, which is nothing, until someone opens the inbox. Here is how to work out what your closed hours are costing you, which night messages are safe to answer without a person, and which ones should wait for morning.
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The demo always goes perfectly, because it is the one conversation the tool was built to win. Here are eleven messages to type into any Messenger chatbot before you sign, the three shapes the bill comes in, and the data agreement Philippine law expects a clinic to have.
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Run the report for patients due for a cleaning and it comes back with 412 names. You have twelve slots open next week. Recall automation is a capture and capacity problem before it is a messaging one. Here is how to create recalls at the chair, give each one a state so booked patients stop getting texted, and meter the queue to the chairs you actually have.
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Open your appointment book to a week from six months ago and ask one question about every name on it: did anything happen after they walked out? For most clinics the answer is a reminder before the visit and then silence. Here are the five follow-up triggers worth automating, the stop rules to write before the messages, and why almost every one of them lands on SMS.
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You put a booking link on your Facebook page, and by the second Thursday two people are booked into the same 3:00 PM. Automating your booking is not adding a button, it is picking one calendar to be the truth. Here are the booking rules to write down first, the four setup levels with honest costs, and the nine tests to run before you trust any of it.
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Sit beside your front desk for one hour and write down every separate thing that happens. Most of it runs on answers that never change. Here are the ten tasks worth automating, in the order that pays back first, plus five that should stay with a person.
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