From Exact Sales to SQL Server: managed, scheduled, no code.
Kondado offers 17 pipelines that replicate Exact Sales data to SQL Server on a configurable schedule ranging from every 5 minutes to daily, including Leads, Sales Opportunities, Calls, and Activities data with 194 available fields.
To send Exact Sales data to SQL Server, you need a direct integration that extracts information from your CRM and loads it into your database without manual CSV exports or complex coding. Kondado provides automated pipelines that connect Exact Sales to SQL Server, replicating your sales engagement data on a configurable schedule that you control. The platform handles the entire data extraction and loading process, ensuring your SQL Server database stays current with the latest lead information, sales activities, and team performance metrics from this leading Latin American sales platform.
Once your data arrives in SQL Server, you can build custom reports, perform complex joins with other business data sources, and power comprehensive analytics workflows across your organization. This automated approach eliminates manual data entry tasks and ensures your analysts always work with fresh, accurate information from your sales engagement platform.
The Leads pipeline captures detailed profiles including closing forecast dates and CNPJ information, while the Sales Opportunities pipeline tracks deal values and prioritization data essential for revenue forecasting. By combining these with the Calls pipeline, which records interaction history and status, you can create comprehensive SQL queries that analyze conversion rates by sales rep, identify bottlenecks in your funnel, and calculate accurate sales velocity metrics directly within your database environment.
Additionally, the Lead Lifecycle pipeline tracks progression through funnel stages, enabling you to build SQL queries that measure stage-to-stage conversion rates and identify where prospects typically stall. When joined with the Sales Development Representatives (SDRs) and Sales Representatives pipelines in SQL Server, you can create performance dashboards that correlate individual rep activities with opportunity outcomes, giving managers clear visibility into team productivity and coaching opportunities.
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Replicated to SQL Server
Exact Sales data available for SQL Server
Tables Kondado writes into your SQL Server, on a schedule you control.
17
available pipelines
194
extractable fields
SQL Server
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 the data source connection and authorize data extraction from your CRM.
2
Configure SQL Server Destination
Enter your SQL Server connection details including server address, database name, and credentials to establish where your Exact Sales pipelines will load.
3
Select Pipelines and Schedule
Choose which of the 17 Exact Sales pipelines to replicate, map the 194 available fields if needed, and set your preferred update frequency from 5 minutes to daily intervals.
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Answers about sending Exact Sales data to SQL Server automatically
How does Kondado replicate Exact Sales data to SQL Server?▼
Kondado uses automated pipelines to extract data from your Exact Sales account via API and load it directly into your SQL Server database. The platform handles schema mapping, data type conversion, and incremental updates, ensuring your database reflects the current state of your CRM without manual intervention.
What Exact Sales objects and fields can I replicate to SQL Server?▼
You can replicate 17 different pipelines including Leads, Sales Opportunities, Calls, Activities, Lead Lifecycle, and team member data across 194 available fields. This covers everything from lead contact information and custom fields to pain points, appointments, and sales rep performance metrics.
How often does Exact Sales data update in SQL Server?▼
Kondado updates your SQL Server database on a configurable schedule that you set, with options ranging from every 5 minutes to daily intervals. You choose the frequency based on your reporting needs and can adjust it anytime as your business requirements change.
Can I combine Exact Sales data with other sources in SQL Server?▼
Yes, once your Exact Sales data resides in SQL Server, you can join it with information from other business systems that you also replicate to your database, such as marketing platforms, ERP data, or financial tools. This enables unified reporting across your entire technology stack, allowing comprehensive analysis of customer journeys that span multiple touchpoints.
What format does Exact Sales data take in SQL Server tables?▼
Each Exact Sales pipeline becomes a separate table in SQL Server with standardized column names and appropriate data types for each of the 194 available fields. The schema preserves relationships between objects like Leads and Contacts, allowing you to write SQL queries that join related tables using primary and foreign keys.
Do I need coding skills to set up the Exact Sales to SQL Server connection?▼
No coding is required to establish the connection, as Kondado provides a no-code interface where you authenticate your Exact Sales account and configure your SQL Server destination through guided steps. The platform automatically handles the technical complexity of API authentication and database loading.
Can I send Exact Sales data to other destinations besides SQL Server?▼
Yes, Kondado allows you to replicate Exact Sales data to multiple destinations simultaneously, including Power BI, Looker Studio, Google Sheets, and BigQuery. This flexibility lets you power different analytics workflows across various tools while maintaining SQL Server as your central data warehouse.
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