The buyer-intent rate is the single most useful number for deciding whether comment moderation on paid Meta ads is worth doing at all. If 0.1% of comments on your ads are buyers asking to transact, automated moderation is a nice-to-have. If 4–6% of them are, ignoring those comments is a structural revenue leak. This article walks the published number, what "buyer intent" actually means, why D2C is the right benchmark, and what it costs in dollars at typical spend levels.
The short answer: 4–6% on D2C Meta ads
Two independent annual datasets from the same publisher land on the same band. Respondology's 2025 Social Media Comment Insights Report analysed 118.4 million comments across 734,500 posts and 450+ brands on Meta, TikTok, and YouTube in 2024, and reported that roughly 1 in 25 comments on D2C brand accounts showed buying intent — about 4%. The 2026 Business of Comments Report scaled the dataset to 168.8 million comments across 7.6 million posts and ~3,400 brand accounts in 2025 and refined the number to a 4–6% band, with an explicit 11% conversion rate when brands actually reply.
Two independent samples, same publisher, methodology disclosed in both reports, lower bound holds across the year-over-year jump in dataset size. That is the strongest signal we have that the underlying phenomenon is real rather than a sampling artefact, and it is why ROAS Shield's Revenue Leak Calculator uses 4% as the buyer-intent default — the conservative lower bound of the evidenced range. The slider lets you adjust the rate to 6% (Respondology's upper bound for D2C) or higher if your own historical data justifies it.
What counts as a buyer-intent comment (and what doesn't)
Respondology popularised the term Marketing Qualified Comment — the comment analogue of a Marketing Qualified Lead. A Marketing Qualified Comment is a public comment on a paid ad that explicitly indicates intent to transact, ask about product specifics, or move down-funnel. Credit for the term goes to Respondology's 2026 Business of Comments Report; we adopt it here because it is the cleanest term-of-art for the metric.
What counts as a Marketing Qualified Comment:
- "Where can I buy this?" — explicit purchase intent, often the highest-converting class.
- "Does it come in [size, colour, configuration]?" — product specification queries that gate a buying decision.
- "Is there a discount code?" — promotion enquiries; usually high intent because the question only makes sense from someone planning to buy.
- "Do you ship to [country]?" — logistics enquiries; intent is implicit but high.
- "Is this still available?" / "When is it back in stock?" — restock/availability questions.
What does NOT count, despite often being mistaken for buyer-intent in casual reads:
- "Cool ad" / "Looks nice" — affinity, not intent. Worth responding to as social proof, but not a sale.
- General complaints, customer-service issues, or shipping problems — these are post-purchase signals, not pre-purchase.
- Sarcastic or hostile comments framed as questions ("Where can I buy this disaster?") — should be hidden or de-escalated, never DMed a sales pitch.
- Spam disguised as enquiries ("DM me for the same product half price") — Respondology's 30–34% spam-rate bundle these.
The distinction matters because not all 4% is closeable today. Respondology's 11% conversion rate is measured on Marketing Qualified Comments where brands actually replied — set realistic expectations about the funnel: 4% of comments are qualified, and 11% of those close when responded to. Mechanism: visibility plus speed-to-response are the two levers under your control; the third — fit between the question and your offer — is given.
Why D2C lands at 4–6% and other verticals don't
The 4–6% band is D2C-specific, and the methodology page is explicit about this caveat. See the methodology limitations section for the full disclosure.
D2C is the upper end of the buyer-intent distribution because the comment-to-purchase distance is structurally short: the ad shows the product, the comment is on the ad, the link in the bio or under the post leads directly to a buy button. The friction between "I want this" and "I bought it" is two clicks. That structural shortness is what makes D2C the population in which Marketing Qualified Comments are most visible.
Other verticals likely sit lower for predictable structural reasons:
- Lead generation — the comment-to-conversion path involves a form, a calendar booking, or an email chain. The signal-to-noise of a comment under a lead-gen ad is lower because the buying decision happens off-platform.
- B2B SaaS — the buying group is large, the decision cycle is long, and a comment from a single individual is rarely a buying signal. Comments are more frequently feedback or feature requests.
- Agency-managed accounts — when an agency runs ads on behalf of a brand, the comment audience is often more diffuse (the brand's organic followers plus the targeted ad cohort), and the buyer-intent share is correspondingly diluted.
- High-consideration purchases (cars, real estate, financial services) — pre-purchase research happens in private channels; comments tend to be brand-affinity signals rather than buying signals.
If your account is non-D2C, override the calculator's 4% default with whatever fraction of your historical comments your team has actually closed. For most lead-gen accounts a 1–2% number is more realistic; for B2B SaaS, often under 1%. The calculator runs the math at whatever rate you set, and it will not gaslight you with the D2C default if your account is structurally different.
What 4% means in dollars
Worked example, conservative defaults throughout. A $20,000/month Facebook + Instagram ad budget at the median 2.87× ecommerce ROAS from 2025 (rounded to 3× for arithmetic clarity), with the Respondology 4% buyer-intent rate, exposes:
$20,000 × 3× ROAS × 0.04 buyer-intent
= $2,400/month in gross buyer-intent revenue
= $28,800/year
That is the gross figure — the revenue attributable to comments showing buying intent. Apply the 11% conversion rate when brands actually reply from Respondology's 2026 report, and the realistically-collectable share is:
$2,400 × 0.11 reply-conversion rate
= $264/month
= $3,168/year
That is the recoverable annual revenue from comment-level buyer-intent at $20K/month of spend. It is not life-changing money for a single account, but it is real money the brand is currently leaving on the table, and the cost of capturing it is mostly automation — once your moderation rules + reply system are configured, the marginal cost per buyer-intent reply is minutes of operator time. Plug your own spend, ROAS, and buyer-intent estimate into the Revenue Leak Calculator for your number.
The same math at a $100K/month spend yields $1,320/month realistically recoverable, or roughly $16,000/year — at which point the calculation matters for budgeting decisions about whether to invest in comment-moderation tooling.
Where the comments-vs-DMs decision happens
A Marketing Qualified Comment is a public buying signal, but the response does not have to be public. In practice, the best workflow is: identify the buyer-intent comment, reply briefly in-thread to acknowledge it (social proof for everyone else watching), and route the actual sales conversation to DMs where you can ask qualifying questions without performing for the entire comment section.
The mechanics of doing that at scale are covered in comment-to-DM automation for Meta ads. The decision rule is: comments that ask a product-specification question with a 2-click answer (size, colour, availability) get a public reply because the next reader has the same question; comments that signal a full sales conversation (multi-product enquiries, custom requests, B2B-flavoured questions) get a public acknowledgement + a private follow-up.
The constraint is that buyer-intent doesn't have to live in public — but it has to be seen to be actioned. If the comment scrolls past unmoderated, both the public and private response paths close.
Use the calculator to size it against your spend
The Marketing Qualified Comment rate is the input most worth getting right. The Respondology 4% is the conservative starting point; your real number depends on three things you control: vertical fit (D2C lands highest), ad-creative type (video-with-explicit-product tends to attract more product-specification questions than abstract brand creative), and the audience-segment you are targeting (warm retargeting audiences have higher buyer-intent than cold prospecting).
Open the Revenue Leak Calculator and set the buyer-intent slider to your historical number if you have one; otherwise leave it at the 4% default and the math comes out conservative-by-design. Pair this article with the full methodology for the sources behind every default. The numbers above all trace to a single bibliography entry on the methodology page; nothing is fabricated, and the limitations are spelled out.