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
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Por que anúncios do Facebook sem comentário do autor parecem incompletos
No mobile, os comentários fazem parte do anúncio. Sem comentário do autor, a confiança diminui.
Read article →Anúncios com comentários do autor convertem melhor. Eis o porquê.
Comentários do autor funcionam como prova social imediata, FAQ no feed e um caminho de clique com menos fricção. Bem feitos, aumentam confiança e conversões. Mal feitos, prejudicam a qualidade percebida.
Read article →Antes vs depois: o que muda quando anúncios recebem comentários do autor
Uma forma limpa de medir o que realmente muda após adicionar comentários proativos da Página: sinais de confiança, comportamento de clique, qualidade de conversão e como evitar falsos ganhos causados por mudanças de orçamento.
Read article →Porque anúncios de alta performance tratam comentários como uma FAQ no feed
A maioria das objeções não acontece na landing page, mas antes do clique. Anunciantes eficazes usam os comentários para responder às poucas perguntas que realmente bloqueiam conversões.
Read article →Os Facebook dark posts exigem uma abordagem diferente de posts públicos
Dark posts (publicações não publicadas da Página) são feitos para distribuição segmentada, não para visibilidade pública. Isso muda como a prova social funciona, como as threads de comentários se comportam e por que suposições clássicas de social media falham em contas de alto volume.
Read article →