From Exact Sales to Amazon S3: managed, scheduled, no code.
Kondado connects Exact Sales (Exact Spotter) directly to Amazon S3, replicating 17 data pipelines including Leads, Appointments, Activities, and Sales Opportunities on a configurable schedule ranging from 5 minutes to daily intervals.
To send Exact Sales data to Amazon S3, start by selecting Exact Sales as your data source and Amazon S3 as your destination within the Kondado platform. Configure your replication schedule to run every 5 minutes, 15 minutes, hourly, or daily based on your business requirements. Kondado handles the extraction and loading process automatically, delivering your sales engagement data directly to your S3 buckets without manual intervention or coding requirements.
Once your data arrives in Amazon S3, you can leverage it with analytics tools like Athena, Presto, or Dremio to build custom reports and combine Exact Sales information with other business data sources for comprehensive revenue analysis and sales performance tracking across your organization.
The Leads and Lead Lifecycle pipelines enable you to track prospect progression through your sales funnel, storing historical stage transitions in Amazon S3 for long-term trend analysis and conversion optimization. Sales teams can combine Appointments and Calls data with other sources to measure engagement effectiveness across touchpoints, while the Sales Opportunities pipeline provides detailed revenue forecasting data that feeds directly into your data lake. This setup supports pipeline health monitoring, SDR performance tracking, and strategic planning when analyzed alongside data from BigQuery or business intelligence tools.
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Replicated to Amazon S3
Exact Sales data available for Amazon S3
Tables Kondado writes into your Amazon S3, on a schedule you control.
17
available pipelines
194
extractable fields
Amazon S3
Destination
Available integrations
Appointments
Includes fields such as id, lead_id, and salesrep_email, enabling tracking of scheduled meetings and their notes.
Activities
Contains information about scheduled activities, including id, leadid, and status, facilitating the management of tasks related to leads.
Boxes
Presents data such as id, leadid, and status, allowing management of meetings and their respective notes.
Lead Lifecycle
Includes fields such as lead_id, origin_stage, and destination_stage, tracking the evolution of leads through the funnel.
Lead Stages
Presents information such as id, active, and funnel_id, detailing the different stages a lead can go through.
Leads
Contains data such as id, closing_forecast_date, and cnpj, providing a detailed profile of leads and their status in the funnel.
Discarded Leads
Includes information about leads that have been discarded, with fields such as lead_id and discard_date, allowing analysis of losses.
Leads: Custom Fields
Presents custom fields associated with leads, allowing for more detailed analysis tailored to specific needs.
Leads: Contacts
Includes information about contacts associated with leads, with fields such as contacts_id and email, facilitating communication.
Leads: Pain Points
Presents the main pain points identified in leads, allowing for a more effective approach in sales strategies.
Lead Qualifications
Includes information about the lead such as id, description, and status, allowing for detailed analysis of qualifications and conversion potential.
Calls
Records details of calls made, including id, lead_id, status, and date, facilitating tracking of interactions with leads.
Markets
Provides information about different markets, including id and name, allowing segmentation and analysis of leads by sector.
Sales Opportunities
Contains data on opportunities, including id, lead_id, and value, essential for assessing sales potential and prioritizing leads.
Sources and Sub-sources
Presents information about lead sources, including id and name, helping to understand where leads come from and their effectiveness.
Sales Development Representatives (SDRs)
Includes data on sales development representatives, such as id, name, and email, allowing for management and analysis of sales team performance.
Sales Representatives
Contains information about sales representatives, including id, name, and email, essential for managing the sales team and their interactions with leads.
Sync data automatically — no code, no manual exports.
1
Connect Exact Sales Account
Authenticate your Exact Sales credentials in Kondado to establish read access to your sales engagement data, including leads, appointments, and opportunity records.
2
Configure S3 Destination
Enter your Amazon S3 bucket name and path details to specify where Kondado should deliver your Exact Sales files, ensuring proper organization for downstream analytics tools.
3
Select Pipelines and Schedule
Choose from the 17 available pipelines such as Leads, Calls, and Sales Opportunities, then set your preferred update frequency from 5 minutes to daily to match your reporting needs.
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Answers about sending Exact Sales data to Amazon S3 automatically
How do I connect Exact Sales to Amazon S3 without coding?▼
Kondado offers a no-code solution where you authenticate your Exact Sales account and provide your Amazon S3 bucket details through the platform interface. The system automatically manages the data extraction and file delivery process, requiring no technical development or API programming from your team.
What Exact Sales data pipelines are available for replication to S3?▼
You can replicate 17 distinct pipelines including Leads, Lead Lifecycle, Appointments, Activities, Calls, Sales Opportunities, and Sales Development Representatives. These pipelines contain 194 fields total, covering everything from contact information and pain points to sales rep performance metrics and market segmentation.
How often does Exact Sales data update in my Amazon S3 bucket?▼
Kondado updates your data on a configurable schedule that you set during setup, with options ranging from every 5 minutes to daily intervals. This allows you to balance data freshness with processing costs, ensuring your sales analytics reflect recent activity without unnecessary API calls.
What file format does Exact Sales data use when stored in Amazon S3?▼
Data is delivered in structured formats compatible with AWS analytics services like Athena and Presto, typically as compressed JSON or Parquet files. This format enables efficient querying and integration with your existing data virtualization layer without additional transformation steps.
Can I combine Exact Sales data from S3 with other marketing platforms?▼
Yes, you can consolidate Exact Sales information with data from additional sources by replicating multiple platforms into the same S3 bucket or data warehouse. Consider connecting Exact Sales data alongside information from your CRM or advertising platforms to create unified customer journey reports.
How do I analyze Exact Sales data once it is in Amazon S3?▼
You can query your S3 data directly using SQL-compatible engines like Athena or Dremio, or load it into BigQuery or PostgreSQL for more advanced analytics. Many teams also visualize this data in Power BI or Looker Studio to build custom sales dashboards.
Does the Exact Sales to S3 pipeline include custom fields?▼
Yes, the Leads: Custom Fields pipeline specifically captures your personalized Exact Sales configurations, allowing you to analyze bespoke data points alongside standard fields. This ensures your unique sales qualification criteria and business-specific attributes remain available in your data lake for reporting.
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