Sync Amazon Athena to Klaviyo

Create more granular segments and send better behavioral emails

Get a demo Try for free
Amazon Athena
census-logo
Klaviyo
Klaviyo
blur-background-2
data-part-for-integration-uses-illustration
phil-collins
Klaviyo
Amazon Athena

Integration in Four Steps

Step 1: Connect Amazon Athena

Connect Athena by providing your AWS Access Key ID and Secret Access Key on the Census Connections page.

Step 2: Connect Klaviyo as a destination

You can connect to Klaviyo by creating an API key in Klaviyo and providing it to Census in an intuitive interface.

Step 3: Define the core data that matters for your business

Write a SQL Statement. Select the records you want to sync from Athena. Census will match records based on the unique identifier you provide (like email or ID).

Step 4: Schedule your sync

Choose your sync frequency with options to transfer data in real time, on a schedule, or triggered via our API.

Get a demo

Where can you sync your Amazon Athena in Klaviyo?

Get Profile ID

Profile identifiers are fields such as $email and $phone_number that can be used to uniquely identify a profile in your account. The following fields are all considered to be identifier fields:

API Docs Description

List and Segments

Checks if one or more emails, phone numbers, or push tokens are in a given segment. No distinction is made between a person not being in a given segment, and not being present in Klaviyo at all. Can check up to a maximum of 100 emails at a time.

API Docs

A single source of truth in all your tools

Census is the easiest way to share a consistent view of your data across your entire business. Define your models, metrics, and business logic in your data warehouse and sync them to all your operational tools.

  • Create trust in consistent metrics
  • Automate confidently with clean data
  • Simplify your data integration strategy
  • Improve data security and visibility

Trusted by companies you know

docker
bill
health-union
algolia
mixpanel
drizly
invision
rippling
Zip logo
figs
docker
bill
health-union
algolia
mixpanel
drizly
invision
rippling
Zip logo
figs

Advantages of Census

Build once. Reuse everywhere.

Once you define your models in dbt or in Census, you can sync them to all of the tools, so every team is using the same data to achieve their goals.

No more CSV files & Python scripts

Focus on building a data stack and improving data quality, not writing custom code to integrate with Sales & Marketing tools. Census takes care of getting the data into the hands of your business team. No Engineering favors required.

It just works. At scale.

Whether you sync 100 records or 100 million, we will keep your data in sync across your warehouse and your business tools. Census automatically navigates API failures and monitoring keeps you aware of worst case scenarios.

platform multisource census sql

Data Activation Use Cases

Syncing from Amazon Athena

With Athena, there's no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets. Athena is out-of-the-box integrated with AWS Glue Data Catalog, allowing you to create a unified metadata repository across various services, crawl data sources to discover schemas and populate your Catalog with new and modified table and partition definitions, and maintain schema versioning.

Now you can use the data in Amazon Athena for more than just analytics and BI. With Amazon Amazon Athena you can operationalize your data across your entire customer data stack.

Learn how to use Census with 👉 our Amazon Athena docs

Syncing to Klaviyo

Klaviyo's data-driven marketing platform utilizes email and SMS messaging to help businesses better engage with customers. Custom messaging helps brands to create marketing experiences and drive customer acquisition, retention and engagement.

Learn how to use Census with 👉 our Klaviyo docs

Census connects to Amazon Athena and syncs data to Klaviyo. With 200+ integrations (and counting!) and transparent pricing, it's never been easier to start operationalizing your data. This is what we like to call Reverse ETL.
PREV NEXT