No-code pipeline · Linkedin → Redshift

Send data from Linkedin to Redshift

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From Linkedin to Redshift: managed, scheduled, no code.

Creating a pipeline that sends data from Linkedin to Redshift data warehouses takes only a few minutes with Kondado. And the whole integration from Linkedin to Redshift is managed and executed by our platform. With Kondado, you can focus on extracting value from Linkedin data and combining it with other data in your Redshift data warehouse

Connect Linkedin now →

Connect Linkedin to Redshift Data Pipelines

Sending LinkedIn advertising and organic performance data to Redshift requires establishing a direct connection that automates the extraction and loading process. With Kondado, you authenticate your LinkedIn accounts through our no-code platform and designate your Amazon Redshift cluster as the destination warehouse. The system then replicates your selected pipelines on a configurable schedule, ensuring your data warehouse always contains current information for comprehensive SQL analysis and business intelligence workflows. This automated approach eliminates manual CSV exports while maintaining consistent data structures within your Redshift environment, allowing your team to focus on generating insights rather than data preparation.

Kondado provides automated pipelines that replicate LinkedIn Ad Statistics, Conversion Statistics, Campaign Metadata, Organization Posts, and additional advertising data directly to Amazon Redshift, updating on schedules ranging from every 5 minutes to daily without requiring manual intervention or technical maintenance.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Once your data arrives in Redshift, you can combine LinkedIn Ad Statistics with Conversion Statistics to calculate true return on ad spend using SQL queries that join impression data with revenue events. The Campaign Metadata and Creative Metadata pipelines provide dimensional context that allows you to segment performance by campaign objectives, audience targeting, and creative formats for deeper analysis. Organization Posts data enables content teams to correlate organic engagement metrics with paid advertising results, creating unified dashboards that reveal how brand awareness activities support lead generation efforts across your complete marketing funnel.

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Replicated to Redshift

Linkedin data available for Redshift

Tables Kondado writes into your Redshift, on a schedule you control.

available pipelines

394

extractable fields

Redshift

Destination

Available integrations

Ad Accounts

Unique identifier, status, currency, and notification preferences of ad accounts. Analyze the current status and whether alerts are sent about campaigns.

Ad Statistics

Data on impressions, clicks, and cost of ads. Allows evaluation of campaign performance and optimization of marketing strategies.

Conversion Statistics

Metrics on conversion, including conversion rates and cost per conversion. Essential for measuring the effectiveness of advertising campaigns.

Conversion Information

Details on each conversion, such as source and generated value. Helps understand the impact of campaigns on financial results.

Campaign Metadata

Information on campaigns, including budget, objectives, and status. Allows analysis of targeting and delivery strategy.

Creative Metadata

Data on creatives used, including format and approval status. Essential for optimizing advertising content.

Campaign Group Metadata

Information on campaign groups, such as status and cost type. Allows understanding of the structure and performance of ads.

Organization Posts

Data on posts made by organizations, including engagement and reach. Useful for evaluating the effectiveness of published content.

Organization Pages

Information on organization pages, including followers and interactions. Allows analysis of brand presence and impact.

See all available data → Send Linkedin to Redshift →

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How to send Linkedin data to Redshift

Sync data automatically — no code, no manual exports.

Connect Your LinkedIn Accounts

Authenticate your Linkedin advertising and organization accounts through Kondado's OAuth interface to enable data extraction. Grant permissions for the specific ad accounts and company pages you want to replicate to your warehouse.

Configure Redshift Destination

Enter your Amazon Redshift cluster credentials including host, database name, and schema details where your LinkedIn data will reside. Test the connection to ensure Kondado can successfully write to your specified destination.

Select Pipelines and Schedule

Choose from the nine available pipelines such as Ad Statistics and Campaign Metadata, then set your preferred update frequency from every 5 minutes to daily. Activate the replication to begin automated data transfers to your Redshift cluster.

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Send data from Linkedin to other destinations

Linkedin > Looker Studio

Linkedin > Power BI

Other visualizations

Linkedin > Amazon S3

Linkedin > BigQuery

Linkedin > Excel

Linkedin > Google Sheets

Linkedin > MySQL

Linkedin > PostgreSQL

Linkedin > Redshift

Linkedin > SQL Server

Choose a tool to visualize your Linkedin data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Linkedin > Airtable

Linkedin > Alteryx

Linkedin > Amazon Quicksight

Linkedin > BIMachine

Linkedin > Cortex

Linkedin > Data Studio

Linkedin > Geckoboard

Linkedin > Grafana

Linkedin > IBM Cognos Analytics

Linkedin > Klipfolio

Linkedin > Looker Studio

Linkedin > Looker

Linkedin > Looqbox

Linkedin > Metabase

Linkedin > Microstrategy

Linkedin > Pentaho

Linkedin > Power BI

Linkedin > Qlik Cloud Analytics

Linkedin > Qlik Sense

Linkedin > Qlik

Linkedin > QlikView

Linkedin > Redash

Linkedin > Superset

Linkedin > Tableau

Linkedin > BI TOTVS

Linkedin > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Linkedin data to Redshift automatically

How often does Kondado update LinkedIn data in Redshift? ▼

You configure the update frequency based on your business needs, selecting intervals from every 5 minutes to daily schedules. This ensures your analytics reflect recent campaign performance without overwhelming your warehouse with unnecessary updates. The automated scheduling runs continuously once configured, maintaining fresh data for your reporting workflows.

What LinkedIn advertising metrics can I replicate to Redshift? ▼

You can replicate nine distinct pipelines including Ad Statistics for impressions and clicks, Conversion Statistics for lead tracking, and Campaign Metadata for budget analysis. These pipelines contain 394 total fields covering account settings, creative performance, and audience engagement metrics. This comprehensive data set supports detailed ROI analysis and campaign optimization within your Redshift environment.

Can I combine LinkedIn data with other marketing sources in Redshift? ▼

Yes, Redshift functions as a central warehouse where LinkedIn advertising data can coexist alongside metrics from other advertising platforms and CRM systems. You can write SQL queries that join your LinkedIn Campaign Metadata with sales data to track complete customer journeys from impression to revenue. This unified approach eliminates data silos and enables comprehensive cross-channel performance analysis within a single analytics environment.

How is LinkedIn data structured when it arrives in Redshift? ▼

Each pipeline arrives as distinct datasets with preserved field names and data types that map directly to LinkedIn's API structure. The Ad Statistics and Conversion Statistics pipelines contain granular event-level data, while metadata pipelines like Campaign and Creative provide dimensional reference information. This relational structure supports complex SQL joins and aggregations for custom dashboard creation.

Do I need coding skills to connect LinkedIn to Redshift? ▼

No coding is required to establish the connection, as Kondado provides a no-code interface for authenticating your LinkedIn accounts and configuring your Redshift destination. You select desired pipelines through a visual interface and set your update schedule without writing SQL or API scripts. The platform handles all technical complexity including data type mapping and schema management automatically.

What happens to historical LinkedIn data when I first connect? ▼

Upon initial connection, Kondado retrieves available historical data from your LinkedIn ad accounts and organization pages based on API limitations. This backfill process populates your Redshift warehouse with past performance metrics, enabling immediate trend analysis rather than waiting for new data accumulation. The amount of historical data available varies by pipeline type and your LinkedIn account history.

Can I send LinkedIn data from Redshift to visualization tools? ▼

Once your data resides in Redshift, you can connect business intelligence tools like Power BI, Looker Studio, or Google Sheets to create custom reports and dashboards. These connections leverage your centralized LinkedIn metrics alongside other business data for comprehensive visualizations. The near-real-time updates ensure your charts reflect current campaign performance without manual refresh processes.

Which LinkedIn pipelines include organic content data? ▼

The Organization Posts and Organization Pages pipelines specifically capture organic content performance, including engagement rates, reach metrics, and follower demographics. These datasets complement your paid advertising data by showing how organic thought leadership and company updates contribute to brand awareness. Analyzing both organic and paid pipelines together in Redshift reveals the complete picture of your LinkedIn marketing effectiveness.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days