From Ploomes to Google Sheets: managed, scheduled, no code.
Kondado provides a direct integration between Ploomes and Google Sheets, replicating 36 data pipelines including Deals, Clients, Sales, and Products on schedules ranging from 5 minutes to daily intervals, enabling automated reporting and analysis without coding.
Connect your Ploomes CRM to Google Sheets using Kondado’s no-code platform to replicate sales data, client information, and deal pipelines on a configurable schedule. With automated data replication, your spreadsheets stay current without manual exports or complex API configurations. Analysts and sales teams can focus on insights rather than data preparation, accessing fresh Ploomes records directly within their collaborative Google workspace.
Once connected, Kondado maintains your Google Sheets with updated information from Ploomes CRM, allowing you to build custom reports, share live data with stakeholders, and combine sales metrics with other business data sources for comprehensive analysis.
Replicate your Deals pipeline to track opportunity progression and revenue forecasting directly in Google Sheets, enabling dynamic sales dashboards that refresh automatically. Combine client data from the Clients (companies and individuals) pipeline with interaction records to analyze relationship health and segment your customer base for targeted outreach. With Sales and Sales Products pipelines feeding your spreadsheets, you can calculate commission structures, monitor product performance, and create custom financial reports that update on your preferred schedule without manual data entry.
Try out all the features for free for 14 days
Replicated to Google Sheets
Ploomes data available for Google Sheets
Tables Kondado writes into your Google Sheets, on a schedule you control.
36
available pipelines
275
extractable fields
Google Sheets
Destination
Available integrations
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.
Sync data automatically — no code, no manual exports.
1
Connect Your Ploomes Account
Authenticate your Ploomes CRM in Kondado by providing your API credentials to establish the data source connection.
2
Set Up Google Sheets
Select Google Sheets as your destination and specify the target workbook where your Ploomes data will replicate, ensuring your team has appropriate access permissions.
3
Choose Data and Schedule
Select specific pipelines like Deals, Clients, or Sales from the 36 available options, then configure your update frequency to replicate data automatically on a configurable schedule.
Try out all the features for free for 14 days
Hundreds of data-driven companies trust Kondado
Why Kondado?
Focus on extracting value from your data and leave the rest to us
Answers about sending Ploomes data to Google Sheets automatically
How does the Ploomes to Google Sheets pipeline work?▼
Kondado connects directly to your Ploomes CRM using your API credentials to extract data from selected pipelines and load it into designated Google Sheets workbooks. The platform handles data transformation and scheduling automatically, maintaining consistent column structures while updating rows with new and modified records on your configured timeline.
What Ploomes data can I replicate to Google Sheets?▼
You can replicate 36 distinct pipelines covering sales operations including Deals, Clients, Sales, Products, Proposals, and Interaction Records, totaling 275 available fields. This includes comprehensive CRM data from contact details and company information to deal stages, product catalogs, and task management records.
How often does Ploomes data update in Google Sheets?▼
Data replication occurs on a configurable schedule that you set during pipeline configuration, with options ranging from every 5 minutes to daily intervals depending on your reporting needs. This ensures your spreadsheets reflect recent Ploomes activity without the delays associated with manual exports or batch processing.
Can I combine Ploomes data with other sources in Google Sheets?▼
Yes, you can blend Ploomes CRM data with information from other platforms connected to Google Sheets, such as marketing automation or financial systems, creating unified reports that correlate sales metrics across your business stack. Use Google Sheets functions like VLOOKUP or QUERY to join datasets from multiple pipelines for comprehensive business intelligence.
What format does Ploomes data take in Google Sheets?▼
Each Ploomes pipeline becomes a separate sheet or tab within your Google Sheets workbook, with columns representing data fields and rows containing individual records such as deals, clients, or products. Data arrives in a structured tabular format ready for pivot tables, charting, and analysis using native Google Sheets functionality.
Do I need coding skills to connect Ploomes to Google Sheets?▼
No coding is required, as Kondado provides a visual interface where you authenticate your Ploomes account, select desired pipelines, and configure your Google Sheets destination through point-and-click configuration. The platform manages API connections, data mapping, and synchronization automatically.
Can I send Ploomes data to destinations other than Google Sheets?▼
Yes, Kondado enables you to replicate Ploomes data to multiple destinations including BigQuery, PostgreSQL, Power BI, and Looker Studio simultaneously. This allows you to maintain Google Sheets for collaborative analysis while feeding data warehouses or business intelligence tools for advanced analytics.
How do I build reports with Ploomes data in Google Sheets?▼
Once your data pipelines are active, use Google Sheets built-in features like pivot tables, charts, and conditional formatting to create custom sales dashboards and performance trackers that refresh automatically. You can also reference Ploomes data in formulas to calculate conversion rates, pipeline velocity, and revenue forecasts that update as new data arrives.
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