Businesses in today’s world are relying on Online Marketing more than ever before. This is simply due to the fact that most Online Marketing channels follow a simple Pay-as-You-Go Pricing strategy along with a targeted audience approach which means that a person will only be shown advertisements for a product if they’ve shown some interest in it in the past. This has allowed businesses to expand their customer volume massively since the product is being advertised to people who they know are interested in paying for their service.

As a result, Digital Marketing has become one of the most popular and effective techniques that businesses rely on to market their offerings since these techniques allow businesses to reach a wider audience and efficiently measure the performance of their Marketing efforts in a way that can be easily visualized and communicated to decision-makers. This allows them to plan future Marketing strategies and campaigns accordingly.

One of the most popular Digital Marketing tools is LinkedIn Ads. This article will provide you with an in-depth understanding of how you can easily set up LinkedIn Ads to Redshift Migration to perform an in-depth analysis of your Ads data.

Introduction to LinkedIn

LinkedIn Logo
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LinkedIn is the world’s largest professional network that can help users find the right jobs, connect and strengthen professional relationships with people worldwide working in different domains and companies, and learn any skills that you wish to. A complete LinkedIn profile can help users connect with opportunities by showcasing their unique professional stories through their education, skills, and experience.

Users can access LinkedIn using a desktop using a browser, LinkedIn mobile app available on Android and iOS, or the LinkedIn Lite Android mobile app.

Along with LinkedIn for general users, LinkedIn offers functionality for businesses called LinkedIn for Business that lets them create a business profile for their organization. Using the business profile, businesses can create job postings, search through profiles to learn about potential clients and vendors, etc.

LinkedIn also houses an Ad Targeting tool called LinkedIn Ads. It is an advertising service that shares paid advertisements on LinkedIn which are targeted at a particular section of the audience. It’s a bidding system that charges users based on the section of users targeted, the frequency, and the Conversion Rate of the advertisement. 

More information about LinkedIn can be found here.

Understanding the Key Features of LinkedIn Ads

The key features of LinkedIn Ads are as follows:

  • Unique Audience: LinkedIn Ads allows businesses to reach more than 750M active professionals directly and gives them the ability to target users based on their job title, function, industry, etc.
  • Controlled Budgets and Costs: LinkedIn Ads allows businesses to control their advertising spend with numerous flexible pricing options. Businesses can also set their own budget, bid, and schedule as per their requirements.
  • Pricing Choice: LinkedIn Ads allows businesses to choose between the Cost-per-Click (CPC) or the Cost-per-Mile (CPM) pricing model based on their business use case and data requirements.
  • Result Forecasting: LinkedIn Ads houses a Result Forecasting functionality that allows businesses to estimate how their campaign will perform against their chosen target audience.

Introduction to Amazon Redshift

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Amazon Redshift is a fully-managed petabyte-scale Cloud-based Data Warehouse, that was developed by Amazon. It was designed for the storage and analysis of petabyte-scale data. Amazon Redshift is built on a Column-oriented Architecture and designed to connect with numerous SQL-based clients, Business Intelligence, and Data Visualization tools and make data available to users in real-time. Based on PostgreSQL 8, Amazon Redshift delivers significantly enhanced performance and more efficient querying as compared to all other Data Warehouses. This helps teams make sound business analyses and decisions. More than 15,000 businesses now use Amazon Redshift globally, including large Enterprises such as Pfizer, McDonald’s, Facebook, etc.

More information on Amazon Redshift can be found here.

Understanding the Key Features of Amazon Redshift

The key features of Amazon Redshift are as follows:

  • Massively Parallel Processing (MPP): Massively Parallel Processing is a distributed design approach in which the divide and conquer strategy is applied by several processors on large data jobs. A large processing job is broken down into smaller jobs which are then distributed among a cluster of Compute Nodes. These Nodes perform their computations parallelly rather than sequentially. As a result, there is a considerable reduction in the amount of time Redshift requires to complete a single, massive job.
  • Fault Tolerance: Data Accessibility and Reliability are of paramount importance for any user of a database or a Data Warehouse. Amazon Redshift monitors its Clusters and Nodes around the clock. When any Node or Cluster fails, Amazon Redshift automatically replicates all data to healthy Nodes or Clusters.
  • Redshift ML: Amazon Redshift houses a functionality called Redshift ML that gives data analysts and database developers the ability to create, train, and deploy Amazon SageMaker models using SQL seamlessly.
  • Column-Oriented Design: Amazon Redshift is a Column-oriented Data Warehouse. This makes it a simple and cost-effective solution for businesses to analyze all their data using their existing Business Intelligence tools. Amazon Redshift achieves optimum query performance and efficient storage by leveraging Massively Parallel Processing (MPP), Columnar Data Storage, along efficient and targeted Data Compression Encoding schemes.

Understanding the Need for LinkedIn Ads to Redshift Migration

Although LinkedIn provides a native Data and Performance Analysis tool, they do not allow consolidation of this data with data from your other Marketing applications. It also does not allow you to answer complex questions due to a lack of flexibility with the inbuilt tools. On the other hand, Amazon Redshift provides additional benefits, allowing you to penetrate deeper into your data in order to extract valuable and actionable insights that will enhance the performance of your organization.

Migrating data from LinkedIn Ads to Redshift provides the following benefits:

  • Single Source of Truth: Loading data into Amazon Redshift from LinkedIn Ads and other data sources will ensure all your critical data is consolidated in a single place.
  • Meaningful Analytics: Now that all your data from different sources is loaded in Amazon Redshift, you will now be able to perform a more in-depth analysis to understand various aspects of your users, such as the Lifetime Value (LTV) of the customers acquired through LinkedIn Ads, how its compares with Lifetime Value (LTV) of users acquired from other channels, etc.
Ways to Set up LinkedIn Ads to Redshift Migration

Method 1: Manual Linkedin Ads to Redshift Migration

This method involves manually extracting data from LinkedIn using its API and then loading it into Amazon Redshift to set up LinkedIn Ads to Redshift Migration.

Method 2: LinkedIn Ads to Redshift Migration Using Hevo Data

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Hevo provides a hassle-free solution and helps you directly transfer data from LinkedIn Ads to Redshift without any intervention in an effortless manner. Hevo is fully managed and completely automates the process of not only loading data from your desired source but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Hevo’s pre-built integration with LinkedIn Ads and 100+ Sources (including 30+ free Data Sources) will take full charge of the data transfer process, allowing you to set up LinkedIn Ads to Redshift Migration seamlessly and focus solely on key business activities. It helps transfer data from LinkedIn Ads to a destination of your choice for free.

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Methods to Set up LinkedIn Ads to Redshift Migration

Businesses can set up LinkedIn Ads to Redshift Migration by implementing one of the two following methods:

Method 1: Manual LinkedIn Ads to Redshift Migration

Manual migration of data from LinkedIn Ads to Redshift requires manually executing the following ETL process:

Step 1: Extracting Data from LinkedIn

LinkedIn Ads data may be accessible via the LinkedIn API. By making requests to the API, one may extract a wealth of information regarding Marketing campaign performance and Landing Page Click-through Rates. 

For example, to retrieve information regarding a specific campaign, execute the following command: 

GET{campaign ID}

Using the LinkedIn Developer Documentation, one may compose a script to interact with the API and pull the required data to their local device (or another accessible target storage).

Step 2: Preparing the Data

Data that has been pulled from LinkedIn via its API will be in JSON format. The following is a sample of JSON output from the LinkedIn API:

    "account": "urn:li:sponsoredAccount:500055926",
    "associatedEntity": "urn:li:company:1337",
    "audienceExpansionEnabled": false,
    "costType": "CPC",
    "creativeSelection": "OPTIMIZED",
    "dailyBudget": {
        "amount": "25",
        "currencyCode": "USD"
    "id": 112466001,
    "locale": {
        "country": "US",
        "language": "en"
    "name": "Test awesome campaign",
    "offsiteDeliveryEnabled": true,
    "runSchedule": {
        "start": 1387842637985
    "servingStatuses": [
    "status": "ACTIVE",
    "targeting": {
        "includedTargetingFacets": {
            "interfaceLocales": [{
                    "country": "US",
                    "language": "en"
            "locations": [
    "type": "TEXT_AD",
    "unitCost": {
        "amount": "2.01",
        "currencyCode": "USD"

Unfortunately, Amazon Redshift does not have native support for JSON so, for simplicity’s sake, you can convert the JSON output to a CSV file. Luckily, there are a number of tools available that can make this possible. One of the most widely used tools can be accessed here.

Step 3: Loading Data to Amazon Redshift

Users can load their LinkedIn Ads data to Redshift by implementing the following steps:

Amazon S3 Create Bucket
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  • Pick a suitable unique name for your AWS S3 Bucket, select a region as per requirement, and click on Create.
Amazon S3 Bucket Name
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  • Open the AWS S3 Bucket that you just created, click on Create Folder, provide a suitable unique name for it, and click on Save.
Amazon S3 Create Folder
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  • Upload the LinkedIn Ads data exported previously to the newly created folder by clicking on Upload selecting the necessary files in the Upload Wizard.
  • The data in Amazon S3 can be imported into Amazon Redshift Cluster using the COPY Command.
  • Connect to the Cluster using a SQL Workbench tool of your choice and run the following query:
COPY table_name 
FROM 's3://<your-bucket-name>/load/file_name.csv' 
credentials 'aws_access_key_id=<Your-Access-Key-ID>' 
  • If you wish to ignore the file header rows in the CSV files, then you may also specify that by running the following query:
COPY table_name 
FROM 's3://<your-bucket-name>/load/file_name.csv' 
credentials 'aws_access_key_id=<Your-Access-Key-ID>' 

Your data should now be accessible and queriable in your Amazon Redshift database.

Limitations of Manual LinkedIn Ads to Redshift Migration

The limitations of setting up manual LinkedIn Ads to Redshift Migration are as follows:

  • Manual LinkedIn Ads to Redshift Migration is a complex process that might be tough to perform for someone who does not have enough technical knowledge of LinkedIn Ads and Amazon Redshift.
  • The process of exporting the data from LinkedIn Ads and importing it into Amazon Redshift has to be done manually every time the data has to be updated in the Cluster.
  • Every time the data is exported from LinkedIn Ads, it will also include the data that was imported into Amazon Redshift previously. Hence, the existing records either have to be removed manually from the exported data before they are imported into Amazon Redshift, or duplicates have to be removed from Amazon Redshift once the data has been imported.

Method 2: LinkedIn Ads to Redshift Migration Using Hevo Data

Hevo Logo
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Hevo helps you directly transfer data from LinkedIn Ads and various other sources to Amazon Redshift, Business Intelligence tools, Data Warehouses, or a destination of your choice in a completely hassle-free & automated manner. Hevo is fully managed and completely automates the process of not only loading data from your desired source but also enriching the data and transforming it into an analysis-ready form without having to write a single line of code. Its fault-tolerant architecture ensures that the data is handled in a secure, consistent manner with zero data loss. It helps transfer data from LinkedIn Ads to a destination of your choice for free.

Hevo takes care of all your data preprocessing needs required to set up LinkedIn Ads to Redshift Migration and lets you focus on key business activities and draw a much powerful insight on how to generate more leads, retain customers, and take your business to new heights of profitability. It provides a consistent & reliable solution to manage data in real-time and always have analysis-ready data in your desired destination. 

The following steps can be implemented to set up LinkedIn Ads to Redshift Migration using Hevo:

  • Configure Source: Connect Hevo Data with Linkedin Ads by providing a unique name for your Pipeline, along with details about your authorised Linkedin Ads account. You can also choose the historical sync duration for your Linkedin Ads data.
Configure LinkedIn Source
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  • Integrate Data: Complete Linkedin Ads to Redshift migration by providing information about your Redshift database and its credentials such as database name, username and password, along with information about port number associated with your Redshift database. You’ll also need to need to provide the schema name for your database, and its cluster, along with a unique name for your destination.
Amazon Redshift Destination Hevo
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This article provided you with a step-by-step guide on how you can set up LinkedIn Ads to Redshift Migration manually or using Hevo. However, there are certain limitations associated with the manual method. If those limitations are not a concern to your operations, then using it is the best option but if it is, then you should consider using automated Data Integration platforms like Hevo.

Visit our Website to Explore Hevo

Hevo helps you directly transfer data from a source of your choice to a Data Warehouse, Business Intelligence, or desired destination in a fully automated and secure manner without having to write the code. It will make your life easier and make data migration hassle-free. It is User-Friendly, Reliable, and Secure. It helps transfer data from LinkedIn Ads to a destination of your choice for free.

Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite first hand. Details on Hevo’s pricing can be found here.

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