How frequently can I sync Exact Sales data to Redshift?

You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your business needs. This automated scheduling ensures your Redshift warehouse contains current sales data without requiring manual refreshes or API scripting.

Which Exact Sales pipelines are available for replication to Redshift?

Kondado offers 17 pipelines including Leads, Lead Lifecycle, Appointments, Calls, Sales Opportunities, and Discarded Leads. These pipelines capture 194 distinct fields covering everything from contact information to sales rep activities and funnel stage transitions.

Can I merge Exact Sales data with other business data in Redshift?

Yes, once replicated to Redshift, your Exact Sales tables can be joined with datasets from other sources within the same warehouse. This allows you to create comprehensive SQL queries that correlate sales activities with marketing spend, customer support tickets, or financial records for holistic business intelligence.

What format does Exact Sales data take when stored in Redshift?

Data arrives as structured tables with properly typed columns corresponding to Exact Sales fields such as lead_id, status, and closing_forecast_date. The schema is automatically generated based on your selected pipelines, making the data immediately queryable for analysis and reporting.

Is technical expertise required to replicate Exact Sales to Redshift?

No, the setup process requires no coding or API knowledge, as Kondado handles authentication and schema creation through a visual interface. Business analysts can configure the connection independently, selecting specific pipelines and setting update schedules without IT assistance.

Can I visualize Exact Sales data from Redshift in dashboard tools?

Yes, after replicating to Redshift, you can connect your preferred business intelligence platforms to the warehouse. Create reports in Power BI , Looker Studio , or Google Sheets to analyze sales trends and share insights with your team.

Does Kondado support custom fields from Exact Sales in Redshift?

Yes, the Leads: Custom Fields pipeline specifically captures your customized Exact Sales attributes, replicating them as distinct columns in Redshift. This ensures your unique business data points and specialized lead classifications are available for segmentation and analysis alongside standard fields.

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Replicate Exact Sales Data to Redshift Automatically

Sending Exact Sales data to Redshift requires no coding or manual exports when using Kondado. Simply connect your Exact Sales account as a data source, select Redshift as your destination, and choose which pipelines you want to replicate. The platform handles the schema creation and data loading automatically, updating your Redshift tables on a configurable schedule ranging from every 5 minutes to daily intervals. This automated approach eliminates the need for custom API development or CSV imports, allowing your team to focus on analyzing sales performance rather than data preparation. Once your data arrives in Redshift, you can combine Exact Sales information with other business data to create comprehensive analytics and reports that drive revenue decisions.

Kondado connects Exact Sales to Amazon Redshift, replicating 17 distinct pipelines including Leads, Appointments, and Sales Opportunities on a configurable schedule without requiring engineering resources.

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

Available Exact Sales Pipelines for Redshift

With the Leads and Lead Lifecycle pipelines flowing into Redshift, you can build custom attribution models that track how prospects move through your funnel and identify which stages cause the most drop-offs. The Appointments and Calls pipelines enable detailed analysis of sales rep activity rates and meeting conversion patterns, helping managers optimize team performance and forecast pipeline health accurately. By combining these Exact Sales datasets in Redshift with financial or marketing data from other sources, you create a unified view of your customer journey that powers precise segmentation, territory planning, and revenue forecasting across your entire organization.

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Exact Sales data available for Redshift

available pipelines

194

extractable fields

Available integrations

Integration	Description
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.

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.

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