Create new value from your data. Train custom machine learning models to get topic, sentiment, intent, keywords and more.
Google Ads is an online advertising platform developed by Google, where advertisers bid to display brief advertisements, service offerings, product listings, or videos to web users.Google Ads Integrations
It's easy to connect Monkey Learn + Google Ads without coding knowledge. Start creating your own business flow.
Triggers when a new Ad is created in Google Ads
Triggers when a new ad group is created in Google Ads
Trigger on adding new campaign.
Triggers when a new user list is created.
Classifies texts with a given classifier.
Extracts information from texts with a given extractor.
Uploads data to a classifier.
Monkey Learn is a machine learning platform that allows developers to build their own models to use them in their applications. The platform has different tops for building the models to train the models, and finally to use them in applications. It is an easy platform to use with a good documentation. The main goal of Monkey Learn is to make machine learning accessible to everyone without needing to have a specialist in this field.
Google AdWords is the world’s largest online advertising platform created by Google with the objective of helping companies create ads with different formats such as text, image, video and mobile. It also allows users to find information about each ad, such as the amount of money spent, the number of clicks and the number of conversions.
Monkey Learn and Google Ads can be integrated in two different ways. through the Google Ads API and with the Google Cloud Machine Learning Engine. In this post we will show you how to integrate Monkey Learn and Google Ads via Google Cloud Machine Learning Engine.
The first step is to create an account with Google Cloud Platform (GCP. It is free for up to 750 hours of usage per month. Once you have your account, you need to create a project (you can name it anything you like. After that, you can go ahead and create a new billing account. Now we need to enable billing on the project we just created, but we need to set a credit card first.
It is important to note that there are two kinds of billing accounts. one with monthly and one with per-use pricing. For both of those there are three pricing levels. basic, standard and premium. It is important to note that, if you have a per-use pricing, you pay only for the resources you use. In addition, if you have a billing account with per-use pricing, your charges will be prorated down to the nearest minute. For more details about pricing you can check on the official website here.
Now that we have created a billing account on GCP, we need to enable billing for our project on the Billing settings page. Click on “Enable Billing” on the left side on the screen and click on “Billing Status” from the fplowing page. Here you will see “Included in Free Tier” under “Tier”. On the right side you will see your project ID under “Project ID”. Click on “Continue” and finish your configuration by clicking on “Enable” on the next page. Now you can enable billing for your project using this link.
Once we have configured our billing, we need to create a machine learning model to be used in Monkey Learn. To do that we need a dataset that contains some information about our products or services so that we can train our model to understand what kind of product each record belongs to. We have provided a sample dataset for this tutorial here. This dataset contains information about 5 different products or services so that it can be used in any industry. If you want to use another dataset you can get it from MonkeyLearn Docs here. Once you have your dataset ready, you can fplow these steps:
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