How do I start sending Exact Sales data to Data Studio?

Log into Kondado and add Exact Sales as a new data source by entering your credentials. Next, choose Looker Studio as the destination and select the information you want to visualize. Kondado begins replicating your chosen data on the schedule you define, making it available for dashboard building within minutes.

What business insights can I get from Exact Sales in Looker Studio?

You can analyze the full sales engagement journey, from first contact through closed deals. Visualizing lead progression, appointment volume, and sales rep activity helps managers spot bottlenecks and optimize outreach strategies. These insights support faster decisions on resource allocation and revenue forecasting.

How frequently can I update my Exact Sales dashboards?

You decide the refresh cadence based on how frequently your team needs fresh numbers, with options ranging from every few minutes to daily. Kondado automates the replication process accordingly, ensuring your Looker Studio charts reflect recent activity. This keeps sales meetings and strategy reviews grounded in current data.

Which Exact Sales metrics are most useful to track in Data Studio?

Prioritize indicators that reveal funnel health, such as stage-to-stage conversion velocity, opportunity values, and call connection rates. Comparing market segments and SDR productivity within the same report highlights where process improvements will have the biggest impact. These metrics turn raw activity into actionable commercial intelligence.

Can my sales team access Exact Sales dashboards without technical skills?

Yes, once the data lives in Looker Studio , any team member can interact with filters, date ranges, and charts through an intuitive interface. There is no need to navigate Exact Sales directly or understand database structures. This democratizes data access across marketing, operations, and leadership teams.

Is it possible to combine Exact Sales data with other sources in the same Data Studio report?

Absolutely, Looker Studio allows you to blend Exact Sales information with data from Google Sheets , advertising platforms, or other business tools. This creates a unified view of marketing spend alongside lead generation results. Cross-source analysis helps you attribute revenue accurately and refine your acquisition strategy.

Can I route Exact Sales data to tools other than Data Studio?

Yes, Kondado supports multiple destinations, so you can replicate Exact Sales data to Power BI , Google Sheets , BigQuery , or PostgreSQL alongside Looker Studio. Different departments can then use their preferred visualization tools while relying on the same consistent source data.

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Visualize Exact Sales Data in Data Studio

You can visualize Exact Sales data in Data Studio by connecting your account through Kondado in just a few clicks. The platform offers a direct connection that replicates your sales and marketing data on a configurable schedule, sending it straight to Looker Studio without intermediate databases or complex coding. Business teams can then build interactive reports to monitor lead performance, track sales activities, and optimize commercial management across their entire funnel with confidence.

With Kondado, you choose exactly which information to bring from Exact Sales, including appointments, leads, calls, and sales opportunities. The automated updates keep your dashboards current, so managers and operations teams always make decisions based on the latest numbers rather than outdated spreadsheets or static exports that slow down sales planning.

Kondado connects Exact Sales to Data Studio via a direct “Via Kondado” connection, replicating 17 available pipelines and 194 fields on a configurable schedule with no intermediate databases or complex setup required for business users.

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

Combining Exact Sales with Data Studio gives commercial teams clear visibility into every stage of the sales engagement process. By visualizing pipelines such as Lead Lifecycle, Sales Opportunities, and Calls, managers can track how prospects move through stages, identify which conversations drive revenue, and prioritize high-value deals that impact the bottom line.

Marketing and operations leaders can blend lead origin data with qualification details to understand which channels deliver the best conversion potential. These insights help teams allocate budgets wisely, coach sales development representatives more effectively, and accelerate base activation using the proven methodology behind Exact Spotter across Latin America.

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Exact Sales data available in Data Studio

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.

See all available data →

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