Enable Integrations or automations with these events of Google Ads and KNIME
Triggers whenever a new lead is created from a Lead Form Extension.
Finds a Google Ads Campaign whose names or id matches the provided input.
Adds a contact to a customer list. This uses the Data Manager API, which is being beta tested by Google.
find customer list by name
Sets the status of a Google Ads campaign.
Sends events from your customer systems (PoS, CRM, email service provider, etc) to connect Google Ad campaigns to offline activity and business impact.
Retrieves the details as per the query provided.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Google Ads and KNIME accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Ads triggers actions in KNIME (or vice versa).
Absolutely. You can customize how Google Ads data is recorded in KNIME. This includes choosing which data fields go into which fields of KNIME, setting up custom formats, and filtering out unwanted information.
The data sync between Google Ads and KNIME typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Google Ads and KNIME. 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.
Google Ads is an online advertising platform developed by Google, where advertisers can display brief advertisements, service offerings, product listings, or videos to web users. It can place ads both in the results of search engines like Google Search and on non-search websites, mobile apps, and videos.
Learn MoreKNIME is a powerful open-source platform designed for data analytics, reporting, and integration. It enables users to create data workflows and perform complex data analysis with ease, using a visual programming interface. KNIME is widely used for data mining, machine learning, and predictive analytics, making it a valuable tool for data scientists and analysts.
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