Unanswered comments cost money only when they are buying questions that sat too long. Most of the pile is praise, tags and emoji, and ignoring those costs very little. The expensive part is small, so you can find it in 20 minutes and price it with four numbers.
TLDR: Count last month's unanswered buying questions, multiply by your realistic reply-to-sale rate and your average order value, and you have the monthly cost. Then fix the lane that holds the money, not the whole inbox.
Step 1: count only the comments that could have been a sale
Open the last 30 days of comments and DMs across your profiles. Sort every unanswered item into one of three piles:
- Buying questions: price, availability, link, booking, "do you ship".
- Problems: an order issue, a complaint, a warning to other buyers.
- Everything else: praise, tags, emoji, spam.
Ignore the third pile for the money calculation. You only need two numbers: the count in pile one and the count in pile two. A tool with a unified inbox makes this a filter instead of a scroll. In Mydrop's social inbox you can tag and export threads to CSV, which turns this step into a ten-minute job.
Step 2: the four-line formula
Here is the formula. Use your own numbers, and be conservative on line two.
| Line | What to enter | Example |
|---|---|---|
| A | Unanswered buying questions last month | 40 |
| B | Share that would have bought if answered fast (be modest) | 10% |
| C | Average order value or first-month revenue | 80 |
| D | Monthly cost of silence = A x B x C | 40 x 0.10 x 80 = 320 |
The example numbers are made up to show the arithmetic. Yours will differ, and that is the point. If line D is 320 a month, an hour a day of inbox time can pay for itself. If line D is 15, the leak is somewhere else, and you should stop worrying about comments.
Run it for problems too: each unanswered complaint that turns into a public negative thread or a refund request has a cost you can estimate from your own refund and churn history.
Step 3: read the pattern, not just the total
The total tells you whether to act. The pattern tells you what to fix. Look at three things in your count:
- Time of day. If most buying questions arrive in the evening and your team works 9 to 5, you have a coverage gap, not a laziness problem.
- Platform. One platform with most of the misses usually means notifications are off or nobody owns that app.
- Repeated questions. "Price?" asked 25 times means the post or the profile does not answer it. A fix in the content removes the comments.
If you want a longer routine for this, the 5-minute reply audit walks through it for one account.
Fix the money lane first, in this order
Do not try to clear the whole backlog. Work in the order of cost:
- Give buying questions an owner and a time limit. A named person, a same-day target. The guide to response time targets shows how to set it.
- Pre-write answers to the five questions you see most. Price, shipping, availability, booking, returns.
- Automate the first reply, not the relationship. A keyword rule can answer "link please" instantly and tag the thread for a human follow-up. Mydrop's keyword rules can tag, assign, notify or draft a reply, and you can keep approval manual for anything sensitive.
- Hide spam so it stops burying real questions. Noise is what makes people give up on the inbox.
Praise can be batched weekly. A like and a short thank-you is enough.
Do the 20-minute count before your next meeting
Take the template above, fill in line A from the last 30 days, and put line D in the next team update. A number gets a decision where "we should reply faster" does not. If you manage several brands, start free with Mydrop and connect them to see all the unanswered threads in one queue.
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