From Exact Sales to MySQL: managed, scheduled, no code.
Kondado automatically replicates data from Exact Sales (Exact Spotter) to MySQL on a configurable schedule, enabling agencies and sales teams to centralize lead lifecycle data, sales opportunities, and team activities in an open-source database environment for custom reporting and analysis.
Setting up a pipeline from Exact Sales to MySQL requires no coding or complex configuration. Kondado provides a direct integration that extracts your sales engagement data and loads it into your MySQL database on a configurable schedule. You simply authenticate your Exact Sales account, specify your MySQL connection details, and select which pipelines to activate.
Once your data arrives in MySQL, you can query lead stages, appointment histories, and sales representative performance using standard SQL. This setup supports building custom reports in Power BI, Looker Studio, or connecting to BigQuery for advanced analytics workflows.
With the Leads and Sales Opportunities pipelines replicated to your database, you can analyze conversion potential and prioritize high-value prospects using complex SQL queries. The Lead Lifecycle pipeline tracks how prospects move through your funnel stages, enabling you to identify bottlenecks and optimize your Exact Spotter sales methodology. Additionally, the Appointments and Calls pipelines provide detailed interaction histories that help you measure sales engagement effectiveness, correlate meeting frequency with closing rates, and build custom attribution models in MySQL.
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Replicated to MySQL
Exact Sales data available for MySQL
Tables Kondado writes into your MySQL, on a schedule you control.
17
available pipelines
194
extractable fields
MySQL
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 (Exact Spotter) data source in Kondado by providing your API credentials. This establishes the extraction point for your sales engagement data including leads and opportunities.
2
Configure MySQL Destination
Enter your MySQL database connection details including host, port, and credentials to establish the loading endpoint. Kondado supports standard MySQL configurations for both cloud and on-premise database deployments.
3
Select Pipelines and Schedule
Choose from 17 available pipelines such as Leads, Sales Opportunities, and Lead Lifecycle, then set your update frequency from 5 minutes to daily. Your Exact Sales data will begin populating MySQL tables automatically according to this schedule.
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Answers about sending Exact Sales data to MySQL automatically
How does Kondado replicate Exact Sales data to MySQL?▼
Kondado connects to the Exact Sales API and extracts data from your selected pipelines. The platform loads this information into your MySQL database on your chosen schedule, whether every 5 minutes or daily, maintaining data consistency without requiring manual CSV exports.
What Exact Sales data can I replicate to MySQL?▼
You can activate 17 pipelines including Leads, Sales Opportunities, Lead Lifecycle stages, Appointments, Calls, and SDR activities. Each pipeline contains specific fields such as lead IDs, funnel stages, and sales representative emails that enable comprehensive sales performance analysis in your database.
How often does Exact Sales data update in MySQL?▼
Kondado updates your MySQL database on a configurable schedule that you control, ranging from every 5 minutes to daily intervals. This near-real-time synchronization ensures your Power BI or Looker Studio reports reflect current sales activities without manual refreshing.
In what format does Exact Sales data appear in MySQL?▼
Data arrives as structured relational tables where each pipeline becomes a separate table with standardized column names. You receive clean, query-ready data that supports SQL joins across Leads, Contacts, and Sales Opportunities for complex analytical queries and custom reporting.
Can I combine Exact Sales data with other sources in MySQL?▼
Yes, Kondado supports loading data from multiple sources into the same MySQL instance alongside your Exact Sales information. You can join lead data with marketing analytics from BigQuery or PostgreSQL to create unified customer views.
Do I need technical skills to set up the Exact Sales to MySQL pipeline?▼
No coding is required to establish the connection. You provide your Exact Sales authentication credentials and MySQL connection details through Kondado's interface, then select your desired pipelines and schedule without writing SQL or API code.
What can I build with Exact Sales data in MySQL?▼
You can construct custom sales dashboards, pipeline velocity reports, and team performance scorecards using your preferred BI tools. The structured data supports complex queries that reveal conversion patterns across different lead sources and sales stages managed in Exact Spotter.
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