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shape Exact Sales

Exact Sales Data Integration and Analytics

Kondado enables you to replicate data from Exact Sales (Exact Spotter), the leading Sales Engagement platform in Latin America, directly into your preferred analytics environment. Access comprehensive sales engagement data including lead lifecycles, appointment schedules, call records, and sales opportunity values. Extract detailed information about SDR performance, lead qualifications, identified pain points, and market segments to build complete visibility into your sales operations, lead generation campaigns, and revenue acceleration strategies.

Kondado connects to the Exact Sales API to provide direct integration through 17 distinct pipelines containing 194 fields, covering Appointments, Activities, Lead Lifecycle stages, Sales Opportunities, Calls, and team performance data from SDRs and Sales Representatives.

Marketing teams can analyze lead source effectiveness and conversion rates across different channels using the Sources and Sub-sources pipelines combined with Lead Lifecycle data to optimize acquisition spend and campaign ROI. Data analysts benefit from granular access to custom fields and contact details, enabling sophisticated segmentation and predictive modeling of sales outcomes across different market segments. Operations managers track team productivity through Activities and Boxes data while monitoring pipeline health with detailed visibility into discarded leads and qualification statuses, all updated on a configurable schedule to support timely decision-making and accurate revenue forecasting.

The Kondado platform takes care of refreshing Exact Sales data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Exact Sales data in your report, spreadsheet, data warehouse, data lake, or database

The following pipelines extract specific data endpoints from your Exact Sales environment, enabling comprehensive analysis of your sales engagement operations. The Leads pipeline provides detailed profiles including closing forecast dates and CNPJ data for pipeline valuation, while Lead Lifecycle tracks origin and destination stages to measure funnel velocity and conversion bottlenecks. Sales Opportunities delivers opportunity values and lead associations essential for revenue forecasting and prioritization, and Calls records interaction history with status tracking to analyze communication effectiveness. The SDRs and Sales Representatives pipelines enable performance management through team member data linked to specific lead interactions and outcomes. By combining Discarded Leads with Lead Qualifications and Sources data, you can identify which channels produce low-quality prospects and refine your ideal customer profile, while merging Appointments with Activities creates a complete view of touchpoint frequency across your sales process. With automated updates on a configurable schedule ranging from every 5 minutes to daily, you can monitor KPIs such as lead response times, meeting booking rates, and pipeline velocity without manual data exports.

Try out all the features for free for 14 days

Available Exact Sales data

17
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.

Try out all the features for free for 14 days

How to visualize Exact Sales data in 3 steps

Connect Exact Sales to dashboards, spreadsheets, or databases — no code required.

1
Add Exact Sales Data Source

Log into Kondado and add Exact Sales as a new data source, entering your authentication credentials to establish the connection. This enables the platform to access your sales engagement data including leads, appointments, and opportunity information.

2
Select Pipelines and Destination

Select which pipelines to replicate, such as Leads, Activities, and Sales Opportunities, then choose where to send your data including Power BI, Google Sheets, BigQuery, PostgreSQL, or other supported destinations.

3
Analyze Your Sales Data

Build custom reports in your BI tool, analyze trends in Google Sheets or Excel, or query your data in database tables within BigQuery, PostgreSQL, MySQL, or Redshift to generate insights on lead conversion and team performance.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
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Pick a Spreadsheet, Database, Data Warehouse or Data Lake to receive Exact Sales data

Choose a tool to visualize your Exact Sales data

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

Frequently Asked Questions (FAQ)

Find answers to common questions about connecting Exact Sales to dashboards, spreadsheets, and databases

What Exact Sales data can I extract using Kondado?
You can replicate 17 distinct pipelines including Leads with their lifecycle stages and custom fields, Appointments and Activities for meeting tracking, Calls with interaction details, and Sales Opportunities with value data. The data source also extracts information about SDRs, Sales Representatives, Lead Qualifications, Pain Points, and Sources to provide complete visibility into your sales engagement operations.
How do I connect Exact Sales to Power BI or Google Sheets?
Add Exact Sales as a data source in Kondado, authenticate your account, then select Power BI or Google Sheets as your destination. The platform handles the data replication automatically, delivering your sales engagement data directly to your preferred visualization tool without requiring manual exports or technical configuration.
How often does Kondado update Exact Sales data?
You can configure automated updates to run on schedules ranging from every 5 minutes to daily, depending on your business needs and analysis requirements. This flexibility allows you to maintain near-real-time visibility into sales activities or opt for less frequent updates to optimize resource usage while keeping your reports current.
Can I analyze Exact Sales lead conversion rates in my own dashboard?
Yes, by combining the Lead Lifecycle pipeline with Leads and Sources data, you can calculate conversion rates between stages and analyze performance by acquisition channel. Send this data to Looker Studio, Power BI, or BigQuery to build custom dashboards that track funnel velocity and identify bottlenecks in your sales process.
What analytics can I build with Exact Sales opportunity data?
The Sales Opportunities pipeline enables revenue forecasting dashboards, pipeline value analysis by market segment, and win-rate calculations when combined with Lead Lifecycle data. You can create reports showing opportunity distribution across SDRs, track deal progression timelines, and analyze which lead sources generate the highest-value opportunities for your business.
Does Kondado support Exact Sales custom fields?
Yes, the Leads: Custom Fields pipeline specifically extracts all custom field data associated with your leads, allowing you to include proprietary segmentation criteria and business-specific attributes in your analysis. This ensures your reports reflect the unique data structure and qualification frameworks configured in your Exact Sales environment.
Can I send Exact Sales data to a database like PostgreSQL or BigQuery?
Yes, Kondado supports database destinations including PostgreSQL, BigQuery, MySQL, Redshift, and SQL Server. This allows you to centralize your sales engagement data in a data warehouse for advanced SQL analysis, combining Exact Sales information with other business systems to create comprehensive enterprise reports.
How do I track SDR performance using Exact Sales data?
Use the SDRs pipeline combined with Activities, Calls, and Lead Lifecycle data to measure individual productivity metrics including call volume, meeting booking rates, and lead progression outcomes. By sending this information to Google Sheets or a BI tool, you can build scorecards tracking key performance indicators for your sales development team.

Try out all the features for free for 14 days