Integrations Pinterest Ads metatext
Pinterest Ads + metatext

Connect Pinterest Ads and metatext to Build Intelligent Automations

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Pinterest Ads

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metatext

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Frequently Asked Questions

How do I start an integration between Pinterest Ads and metatext?

To start, connect both your Pinterest Ads and metatext accounts to viaSocket. Once connected, you can set up a workflow where an event in Pinterest Ads triggers actions in metatext (or vice versa).

Can we customize how data from Pinterest Ads is recorded in metatext?

Absolutely. You can customize how Pinterest Ads data is recorded in metatext. This includes choosing which data fields go into which fields of metatext, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Pinterest Ads and metatext?

The data sync between Pinterest Ads and metatext typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Pinterest Ads to metatext?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Pinterest Ads and metatext?

Yes, you can set conditional logic to control the flow of data between Pinterest Ads and metatext. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.

Pinterest Ads

About Pinterest Ads

Pinterest Ads is a powerful advertising platform that allows businesses to reach a wide audience through visually engaging content. By leveraging the unique visual nature of Pinterest, advertisers can create compelling ad campaigns that drive traffic, increase brand awareness, and boost conversions. With a variety of ad formats and targeting options, Pinterest Ads helps businesses connect with users who are actively seeking inspiration and ideas.

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metatext

About metatext

Metatext is a easy to use AI tool to create and manage robust language models for classification, extraction and generation tasks.

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