A tool that automates sales comments on Facebook ads
Conor Comment automatically publishes sales comments on your Facebook ad dark posts, using the right brand, message, link, UTM, and language — so you scale campaigns without manual work.
WHO IT'S FOR?
High-volume Facebook advertiser
Facebook advertising companies with in-house teams, multiple brands and markets, publishing 300+ new ads per day *
Performance marketing agency
Agencies managing multiple brands and accounts across markets, with high ad volume and 300+ new ads published per day *
* Our studies show that 300+ new Facebook ads/day is where automation pays off — fewer repetitive tasks and mistakes, more time for work that adds higher value.
HOW IT WORKS AND WHAT IS NEEDED FROM YOU?
A simple flow: campaigns are checked, the correct comment version is selected, the comment is published, and everything is logged for reporting.
The flow
1) Active ads are ingested
Active ad posts are imported from your data source.
2) The post is checked
Each ad is evaluated where comments are needed and if the ad/post is faulty.
3) The correct language + link are selected
The correct template is matched by language/currency/etc., and a sales URL is added.
4) The comment is published
Publishing is performed according to required Facebook Page identity and comment type.
5) Optional engagement + reporting
Optional reactions can be added, and full audit logs are saved: what, where, when, etc.
What is needed from you?
Editor access to the Facebook assets publishing ads.
A reliable source listing active ads or dark posts (for example, a sheet export or an existing reporting feed).
Comment templates with multiple variations, plus a list of languages they should support.
An agreed UTM structure to ensure sales links are generated consistently and correctly.
A destination where performance logs and reports should be stored (for example, Google Sheets, internal BI, or a shared reporting workspace).
Optional: access to sales or conversion analytics tools to connect comments with results (for example, Google Analytics 4, Shopify, Stripe, Metabase, Looker, or similar).
Designed to be boring in the best way: predictable inputs, deterministic templates, and clean audit logs.
Try Conor Comment 30 days FREE
Run on real campaigns. Compare ad conversions before and after, then decide based on data.
After 30 days, continue only if you see measurable lift. If not - walk away with learnings and no bill.
Setup in days, not weeks
Predictable inputs. Clear checks. Stable scale.
Access + feed connected
Required access is provided and the active ads / dark posts feed is connected for ingestion.
Pilot started
Language, Page identity, and link/UTM rules are validated, then posting starts with audit logs.
Scale + optimize
Volume ramps up, variations are added, and (optionally) engagement + reporting are enabled.
Insights from high-volume Facebook ads
View all →
Ads with author comments convert better. Here’s why.
Author comments act like instant social proof, an in-feed FAQ, and a lower-friction click path. Done right, they lift trust and conversions. Done wrong, they tank perceived quality.
Read article →Before vs after: what changes when ads get author comments
A clean way to measure what really changes after proactive Page comments are added: CTR, CVR, quality signals, and how to avoid fake wins from spend shifts.
Read article →Why first-party comments outperform replies from users
Author comments let you set the frame, answer objections once, and keep the click path clean. User replies can help, but they’re noisy, inconsistent, and often create friction right where buyers are looking for certainty.
Read article →