Send data from Zendesk Chat (Zopim) to Amazon S3

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

sso google logo
Sign up with Google
sso facebook logo
Sign up with Facebook
sso microsoft logo
Sign up with Microsoft
sso linkedin logo
Sign up with Linkedin

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

shape
shape

Send Zendesk Chat (Zopim) Data to Amazon S3

Sending Zendesk Chat (Zopim) data to Amazon S3 requires no engineering effort when you use Kondado’s direct integration. Simply connect your Zendesk Chat (Zopim) account as a data source, select Amazon S3 as your destination, and configure your preferred update frequency. The platform handles the extraction and loading process automatically, ensuring your chat data arrives in S3 ready for analysis without manual exports or complex API scripting.

Kondado automatically replicates Zendesk Chat (Zopim) conversation data to Amazon S3 on a configurable schedule, delivering 76 fields including chat duration, response times, and satisfaction ratings directly to your S3 buckets for analysis with Athena, Presto, or Dremio.

Once your data lands in Amazon S3, you can leverage the separation of storage and compute to run cost-effective analytics on customer interactions. Whether you are analyzing agent performance or tracking customer satisfaction trends, having structured chat data in S3 enables you to build custom reports and combine conversation insights with other business data stored in your data lake.

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

The Chats pipeline delivers 76 fields capturing every aspect of your customer conversations, from session duration and average response times to visitor details and satisfaction ratings. With this data in Amazon S3, you can calculate agent efficiency metrics, identify peak support hours, and correlate chat outcomes with sales data stored in other S3 buckets. The structured format supports direct querying through Athena or Presto, enabling you to build custom dashboards that track customer service quality alongside business performance indicators. You can also combine these chat insights with data from BigQuery or PostgreSQL pipelines to create comprehensive customer journey reports.

Try out all the features for free for 14 days

Zendesk Chat (Zopim) data available for Amazon S3

1
available pipeline
76
extractable fields

Available integrations

Integration Description
Chats Chats table includes information such as duration, average response time, and satisfaction rating. Fields include id, visitor name, agent name, and session data.
Chats
Chats table includes information such as duration, average response time, and satisfaction rating. Fields include id, visitor name, agent name, and session data.

Try out all the features for free for 14 days

How to send Zendesk Chat (Zopim) data to Amazon S3

Sync data automatically — no code, no manual exports.

1
Connect Zendesk Chat (Zopim)

Authenticate your Zendesk Chat (Zopim) account in Kondado by providing your API credentials through the secure connection interface. Select this data source to begin the pipeline configuration process.

2
Configure Amazon S3

Enter your AWS S3 bucket details and specify the file path structure where you want chat data stored. The platform supports standard S3 configurations that work seamlessly with Athena, Presto, and Dremio for immediate querying capabilities.

3
Select Data and Schedule

Choose the Chats pipeline to replicate all 76 available fields, then set your preferred update frequency from 5 minutes to daily intervals. Activate the pipeline to begin automated delivery of conversation data to your S3 storage.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
arezzo
brf
Contabilizei
dpz
Experian
grupo_soma
inpress
multilaser
olist
unimed
v4_company
yooper

Send data from Zendesk Chat (Zopim) to other destinations

Choose a tool to visualize your Zendesk Chat (Zopim) data

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

Frequently Asked Questions (FAQ)

Answers about sending Zendesk Chat (Zopim) data to Amazon S3 automatically

How often does Kondado update Zendesk Chat data in my S3 bucket?
You control the refresh frequency based on your analytics needs, with options ranging from every 5 minutes to daily updates. This configurable schedule ensures your Amazon S3 contains recent conversation data without overwhelming your storage with unnecessary API calls. The automated process runs continuously in the background, delivering fresh chat records and session information according to your selected interval.
What file format does Zendesk Chat data arrive in when sent to Amazon S3?
Data arrives as structured files optimized for analytical processing, typically in formats compatible with AWS Athena, Presto, and Dremio. Each chat record includes standardized fields like visitor names, agent identifiers, and satisfaction scores that you can query directly using SQL. The schema preserves relationships between conversation sessions and metadata, making it simple to join with other datasets already residing in your S3 data lake.
Can I combine Zendesk Chat data with other customer data sources in S3?
Yes, storing chat data in Amazon S3 alongside information from BigQuery exports or PostgreSQL replications creates a unified analytics environment. You can join conversation records with CRM data, transaction logs, or marketing analytics to build comprehensive customer profiles. This consolidation enables cross-functional teams to analyze how support interactions influence retention, sales, and overall customer lifetime value.
Which specific chat metrics are available through the Chats pipeline?
The pipeline captures 76 distinct fields including conversation duration, average response time, agent names, visitor details, and satisfaction ratings. You also receive session metadata that tracks when chats started and ended, plus agent assignment history. This granularity allows you to calculate first-response times, resolution rates, and agent utilization metrics directly within your S3-based analytics stack.
Do I need coding skills to set up the Zendesk Chat to Amazon S3 connection?
No coding is required to establish this connection through Kondado's interface. The platform provides a guided setup where you authenticate your Zendesk Chat (Zopim) account and specify your S3 bucket details without writing API scripts or managing infrastructure. Once configured, the automated replication runs independently, delivering structured data files to your specified S3 location on your chosen schedule.
How can I visualize Zendesk Chat data after it reaches Amazon S3?
Query your S3 data directly using Athena or connect to business intelligence tools like Power BI, Looker Studio, or Google Sheets through intermediate storage solutions. Many teams load S3 data into BigQuery or PostgreSQL for dashboard creation, enabling you to build custom reports tracking agent performance, customer satisfaction trends, and support volume patterns.
Can I filter which chat data gets sent to Amazon S3?
During setup, you select specific data pipelines such as Chats to control exactly which records replicate to your S3 buckets. While the available pipeline includes comprehensive conversation data with 76 fields, you can apply date ranges and selective syncs to manage storage costs. This flexibility ensures your data lake contains only the relevant chat history needed for your specific analytics use cases.

Try out all the features for free for 14 days