What specific Ploomes data can I extract using Kondado?

You can replicate 36 distinct pipelines including Deals with stage progression and amounts, Clients with segmentation and ratings, Proposals with approval status, and Sales with order details. The data source also includes operational data such as Tasks, Interaction Records, and User Profiles to support comprehensive sales analytics.

How do I connect my Ploomes account to Kondado?

Start by selecting Ploomes as your data source in the Kondado platform, then authenticate using your Ploomes API credentials. Once connected, you can immediately begin selecting which of the 275 available fields you want to replicate to your chosen destination.

How often does Kondado update Ploomes data?

Kondado updates your Ploomes data on a configurable schedule that you control, ranging from every 5 minutes for near-real-time monitoring to daily updates for periodic reporting. This flexibility ensures your dashboards reflect the most recent sales activities without manual intervention.

Can I combine Ploomes data with other sources in my analytics?

Yes, Kondado allows you to blend Ploomes pipelines with data from over 80 other sources including marketing platforms, financial systems, and databases. Create unified reports that correlate client segments from Ploomes with campaign data or connect sales figures to accounting systems for complete revenue analysis.

Which BI tools and databases support Ploomes data from Kondado?

You can send your replicated Ploomes data to Power BI , Looker Studio , BigQuery , PostgreSQL , and other destinations including MySQL, Excel, Redshift, SQL Server, and Amazon S3.

What types of sales analytics can I build with Ploomes data?

You can construct funnel analysis tracking deals through different stages, calculate win rates by analyzing Deal Loss Reasons, measure sales rep performance using Interaction Records and User data, and monitor proposal approval workflows. Combine Sales Products with Product Families data to analyze profitability by category.

Do I need technical skills to replicate Ploomes data?

No coding is required to set up your Ploomes replication. Kondado provides a visual interface where you select pipelines like Deals, Clients, or Tasks, choose your destination, and configure update schedules without writing API queries or managing authentication scripts.

Can I analyze Ploomes task and workflow data?

Yes, the Tasks pipeline includes recurrence intervals and types, while the Interaction Records pipeline captures client touchpoints. Use these alongside User Profiles and Departments data to analyze team productivity, task completion rates, and client engagement patterns across different organizational units.

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Connect Ploomes Data for Analytics

Kondado enables you to extract comprehensive sales and CRM data from Ploomes, including detailed information about your deals, clients, proposals, and sales pipelines. Access granular data on deal stages, loss reasons, product catalogs, and interaction records to understand every aspect of your complex sales process. Replicate data about users, departments, tasks, and approval workflows to analyze team performance, operational efficiency, and resource utilization across your entire organization.

Kondado’s direct integration with Ploomes provides 36 pipelines and 275 fields, covering everything from client segments and deal funnels to proposal products and sales stages, enabling comprehensive replication of your complex sales operations.

Sales managers can analyze conversion rates across different deal funnels and identify patterns in loss reasons to refine their strategies and improve overall win rates. Marketing teams benefit from accessing client sources, segments, and ratings to measure campaign effectiveness, lead quality, and customer acquisition costs with precision. Operations analysts can cross-reference tasks, user profiles, and interaction records to optimize workflow automation, resource allocation, and departmental productivity throughout the company.

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

Below you will find the complete list of Ploomes pipelines available through Kondado, each providing specific datasets for your analytics needs. The Deals pipeline captures order numbers, amounts, and stage progression to track revenue opportunities, while the Clients pipeline provides demographic details, ratings, and segmentation data for comprehensive customer analysis. Combine the Proposals pipeline with Proposal Products to understand which specific items drive quote approvals, and leverage the Sales Products pipeline alongside the Products and Product Families pipelines to analyze category performance and inventory trends. By joining Interaction Records with Users and Tasks, you can measure individual productivity and client engagement patterns across your organization. With automated updates running on a configurable schedule from every 5 minutes to daily, you can monitor critical KPIs like sales velocity, conversion rates, and proposal approval times without manual data extraction.

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Available Ploomes data

available pipelines

275

extractable fields

Available integrations

Integration	Description
Positions	Table contains information about positions, including id, name, and associated user profile.
Cities	Table presents data about cities, including id, name, and associated state.
Cities: states	Table provides information about states related to cities, including id and state name.
Cities: countries	Table contains data about countries associated with cities, including id and country name.
Clients (companies and individuals)	Table presents information about clients, including id, name, email, and status.
Clients: ratings	Table provides data about client ratings, including id and rating name.
Clients: sources	Table contains information about client sources, including id and source name.
Clients: relationships	Table presents data about relationships between clients, including id and relationship type.
Clients: segments	Table provides information about client segments, including id and segment name.
Clients: status	Table contains data about client status, including id and status description.
Client Types	Includes fields such as id and name, allowing categorization of clients into different types for better management.
Departments	Contains fields such as id and name, facilitating the organization and structuring of departments within the company.
Documents	Presents fields such as id and filename, allowing management of documents associated with clients and sales.
Currencies	Includes fields such as id and currency, essential for financial management and conversion of values in different currencies.
Deals	Has fields such as id, ordernumber, and amount, allowing tracking and analysis of completed sales.
Deal Stages	Includes fields such as id, name, and ordination, which help define the progression of deals through different stages.
Deal Funnels	Presents fields that allow visualization and management of different sales funnels and their stages.
Deal Loss Reasons	Includes fields such as id and name, helping to identify and analyze the reasons why deals were not closed.
Deal Status	Presents fields that indicate the current status of deals, allowing better tracking of progress.
Products	Contains fields such as id and name, essential for managing and categorizing the products offered.
Product Groups	Includes fields such as id, name, and description, allowing for the categorization of products into specific groups for better organization and analysis.
Product Families	Contains fields such as id, name, and group_id, facilitating the organization of products into related families for more efficient management.
Proposals	Presents fields such as id, filename, and approval status, allowing for the management and tracking of proposals sent to clients.
Proposal Products	Includes fields such as proposal_id, product_id, and quantity, detailing the products included in each proposal for accurate tracking.
Proposal Approval Status	Contains fields such as id and name, allowing for the categorization of different approval statuses for submitted proposals.
Interaction Records	Includes fields such as id, type, and date, recording interactions made with clients for relationship analysis.
Tasks	Presents fields such as id, name, and status, allowing for effective management of tasks assigned to users within the platform.
Task Recurrence Intervals	Contains fields such as id and frequency, defining the periodicity of tasks for better work organization.
Task Types	Includes fields such as id and name, categorizing tasks into different types for easier management.
Email Reminder Types	Presents fields such as id and description, allowing the configuration of different types of email reminders for users.
Users	Table contains information about users, including fields such as id, name, and email, as well as role id and profile id.
User Suspension Reasons	Table lists the reasons for user suspension, with fields such as id and name, along with comments on the suspension.
User Profiles	Table presents user profiles, including fields such as id, name, and avatar url, along with phone and user language.
Sales	Table contains data on sales, including fields such as id, order number, date, customer id, and total sale amount.
Sales Stages	Table lists sales stages, with fields such as id, name, icon, and ordination of stages within a funnel.
Sales Products	Table contains information on sold products, including fields such as order id, product id, and quantity, along with unit price and discount.

Positions

Table contains information about positions, including id, name, and associated user profile.

Cities

Table presents data about cities, including id, name, and associated state.

Cities: states

Table provides information about states related to cities, including id and state name.

Cities: countries

Table contains data about countries associated with cities, including id and country name.

Clients (companies and individuals)

Table presents information about clients, including id, name, email, and status.

Clients: ratings

Table provides data about client ratings, including id and rating name.

Clients: sources

Table contains information about client sources, including id and source name.

Clients: relationships

Table presents data about relationships between clients, including id and relationship type.

Clients: segments

Table provides information about client segments, including id and segment name.

Clients: status

Table contains data about client status, including id and status description.

Client Types

Includes fields such as id and name, allowing categorization of clients into different types for better management.

Departments

Contains fields such as id and name, facilitating the organization and structuring of departments within the company.

Documents

Presents fields such as id and filename, allowing management of documents associated with clients and sales.

Currencies

Includes fields such as id and currency, essential for financial management and conversion of values in different currencies.

Deals

Has fields such as id, ordernumber, and amount, allowing tracking and analysis of completed sales.

Deal Stages

Includes fields such as id, name, and ordination, which help define the progression of deals through different stages.

Deal Funnels

Presents fields that allow visualization and management of different sales funnels and their stages.

Deal Loss Reasons

Includes fields such as id and name, helping to identify and analyze the reasons why deals were not closed.

Deal Status

Presents fields that indicate the current status of deals, allowing better tracking of progress.

Products

Contains fields such as id and name, essential for managing and categorizing the products offered.

Product Groups

Includes fields such as id, name, and description, allowing for the categorization of products into specific groups for better organization and analysis.

Product Families

Contains fields such as id, name, and group_id, facilitating the organization of products into related families for more efficient management.

Proposals

Presents fields such as id, filename, and approval status, allowing for the management and tracking of proposals sent to clients.

Proposal Products

Includes fields such as proposal_id, product_id, and quantity, detailing the products included in each proposal for accurate tracking.

Proposal Approval Status

Contains fields such as id and name, allowing for the categorization of different approval statuses for submitted proposals.

Interaction Records

Includes fields such as id, type, and date, recording interactions made with clients for relationship analysis.

Tasks

Presents fields such as id, name, and status, allowing for effective management of tasks assigned to users within the platform.

Task Recurrence Intervals

Contains fields such as id and frequency, defining the periodicity of tasks for better work organization.

Task Types

Includes fields such as id and name, categorizing tasks into different types for easier management.

Email Reminder Types

Presents fields such as id and description, allowing the configuration of different types of email reminders for users.

Users

Table contains information about users, including fields such as id, name, and email, as well as role id and profile id.

User Suspension Reasons

Table lists the reasons for user suspension, with fields such as id and name, along with comments on the suspension.

User Profiles

Table presents user profiles, including fields such as id, name, and avatar url, along with phone and user language.

Sales

Table contains data on sales, including fields such as id, order number, date, customer id, and total sale amount.

Sales Stages

Table lists sales stages, with fields such as id, name, icon, and ordination of stages within a funnel.

Sales Products

Table contains information on sold products, including fields such as order id, product id, and quantity, along with unit price and discount.

See all available data →

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How to visualize Ploomes data in 3 steps

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

Add Ploomes as your data source

Connect your Ploomes account to Kondado by entering your API credentials in the platform interface, granting access to 36 pipelines of sales and CRM data.

Select pipelines and destination

Choose which Ploomes pipelines to replicate, such as Deals, Clients, or Sales, then send your data to Power BI, Google Sheets, BigQuery, PostgreSQL, or other supported destinations like MySQL and Redshift.

Analyze in dashboards, sheets, or databases

Visualize your Ploomes data in Looker Studio or Power BI dashboards, explore metrics in Google Sheets or Excel spreadsheets, or query structured tables in BigQuery, PostgreSQL, SQL Server, and Amazon S3 for advanced database analytics.

Try out all the features for free for 14 days