Sync data from Elasticsearch to CitrusAd
Connect your data from Elasticsearch to CitrusAd with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.
The world's most innovative companies choose Hightouch as their Composable CDP
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Use cases
Sync data from Elasticsearch to CitrusAd
- Send new or update existing audiences in CitrusAd to run ads based on certain attributes within your database, such as people who have visited your site
- Continuously fuel your CitrusAd custom audiences with live data so that data never goes stale
- Build hyper-personalized campaigns based on the holistic view of your customers or leads in your data warehouse
FAQs
There are several options to sync data between sources. You can manually build and maintain a data pipeline, use a point-to-point solution such as Zapier, or you can manually upload CSVs.
With Hightouch, you get:
- Automation: You do not need to build and maintain custom data pipelines and you do not have to have your team do manual work
- Simplicity: You avoid a complex web of integrations caused by point-to-point solutions by syncing data from your source
- Speed: You can get set up in quickly - the average Hightouch customer starts syncing data in 23 minutes
- Control: companies of all sizes have access to enterprise-level controls including observability, dbt integrations, and version control
- Security: Hightouch never stores your data and is HIPAA, GDPR, CCPA, and SOC-2 compliant
90% of all Hightouch syncs complete in 30 seconds or less, and the platform enables non-technical users to self-serve.
With Hightouch, you can sync data as frequently as it changes within your Elasticsearch. You can trigger data syncs manually or schedule them to run at an interval or custom recurrence as often as once per minute.
Hightouch offers a basic mapper or advanced mapper that allows you to visually match columns from your Elasticsearch to fields in CitrusAd.
Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured.