Iconosquare Google Ads

When post approved in Iconosquare, sync it to Google Ads.

When a social media post is approved in Iconosquare, log approval events for Google Ads campaign updates.

Try:

See all Iconosquare + Google Ads integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Iconosquare Explore Iconosquare →

Triggers
New post published

Fires when a scheduled post goes live in Iconosquare.

Post failed to publish

Fires when a post fails to publish in Iconosquare.

New mention or comment

Fires when your brand is mentioned or a post gets a comment in Iconosquare.

Actions
Create or schedule a post

Creates a post in Iconosquare or adds it to the schedule.

Add a post to the queue

Adds a post to the publishing queue in Iconosquare.

Reply to a comment

Posts a reply to a comment in Iconosquare.

Google Ads Explore Google Ads →

Triggers
New lead from an ad

Fires when a new lead comes in from an ad campaign in Google Ads.

Conversion event received

Fires when Google Ads records a conversion or offline event.

Campaign published

Fires when a new ad or campaign goes live in Google Ads.

Actions
Send a conversion event

Sends an offline or server-side conversion event to Google Ads.

Add contact to an audience

Adds a contact to a custom audience or customer list in Google Ads.

Remove contact from an audience

Removes a contact from a custom audience in Google Ads.

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FAQ

Common questions

Can Knit build “When post approved in Iconosquare, sync it to Google Ads.” between Iconosquare and Google Ads?

Yes — describe it in the box above and Knit's Integrations Agent researches Iconosquare and Google Ads's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

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