CRM migration
Field-level mapping, validation, and rollback between Tango CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Tango CRM
Source
Pipedrive
Destination
Compatibility
9 of 13
objects map 1:1 between Tango CRM and Pipedrive.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Tango CRM to Pipedrive begins with an export-path discovery phase because no publicly documented API was confirmed for Tango CRM during research. We evaluate CSV exports, browser-based record capture, and any database-level export Tango's team can provide before committing to a migration plan. Pipedrive serves as the destination with its People, Organizations, Deals, Activities, and Notes object model; pipeline stages require explicit reconciliation because stage names and probabilities do not align 1:1 across platforms. We create Pipedrive's pipelines and custom fields before import, use email-matching to resolve owner assignments, and sequence activity migration by type to avoid exceeding Pipedrive's API rate limits during bulk writeback. Workflows, automations, and any attachment files present in Tango CRM are excluded from the default migration scope; we deliver a written inventory of these items for your admin to rebuild in Pipedrive's automation builder post-migration.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Tango CRM object lands in Pipedrive, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Tango CRM
Contact
Pipedrive
Person
1:1Tango CRM Contact records map to Pipedrive Person. Standard fields (name, email, phone, address) map directly. Email serves as the merge key during import to prevent duplicate Person records. Custom fields on Contact require explicit type-matching against Pipedrive's supported custom field types (text, number, date, dropdown, multiselect, etc.). We create any missing Pipedrive custom fields before import so that the mapping step can reference them directly.
Tango CRM
Company
Pipedrive
Organization
1:1Tango CRM Company records map to Pipedrive Organization. Organization is created before Person import to satisfy the Organization ID lookup on Person records. Domain-based matching is used as an additional dedupe signal alongside exact name matching. Industry, size, and address fields map to Pipedrive Organization standard fields. Any custom properties on Company are mapped to Pipedrive custom fields on Organization.
Tango CRM
Deal
Pipedrive
Deal
1:1Tango CRM Deals map directly to Pipedrive Deals with deal name, value, expected close date, and owner preserved. The Tango CRM deal stage maps to a Pipedrive Stage value that we configure during the pipeline setup phase. Historical deal values and stage-transition timestamps are carried forward where present in the export. Closed-won and closed-lost status from Tango CRM maps to Pipedrive's Stage status values.
Tango CRM
Pipeline Stage
Pipedrive
Pipeline + Stage
lossyTango CRM pipeline stage names are reconciled against Pipedrive Stage labels during the mapping phase. We produce a stage mapping worksheet during discovery that defines the target Pipeline, stage order, stage labels, and probability percentages for each stage in the destination Pipedrive account. Stage order is preserved independently of label names. Probability values from Tango CRM are rounded to Pipedrive's integer-based probability format and applied to each Stage configuration.
Tango CRM
Pipeline
Pipedrive
Pipeline
lossyTango CRM pipeline definitions export as configuration records describing stage count, stage order, and any automation hooks per stage. We create Pipedrive Pipelines via the Pipedrive API or settings prior to data import. Multiple Tango CRM pipelines map to multiple Pipedrive Pipelines by name match. If Tango CRM has only one pipeline, we create one Pipedrive Pipeline; the customer can add additional Pipelines post-migration in Pipedrive Settings.
Tango CRM
Activity
Pipedrive
Activity
1:manyTango CRM Activity records are split by activity type during transformation. Emails become Pipedrive email Activity records with content and recipient preserved. Calls become Pipedrive call Activity records with duration and disposition. Meetings become Pipedrive meeting Activity records with attendee list and location. Tasks become Pipedrive task Activity records with due date and completion status. Each activity type is imported separately via the Pipedrive Activity API with the associated Person or Deal ID resolved at migration time.
Tango CRM
Custom Field
Pipedrive
Custom Field
lossyCustom properties on Tango CRM Contacts, Companies, and Deals require explicit field-level mapping during the transformation phase. We match field names to Pipedrive custom field equivalents, create any missing Pipedrive custom fields before import, and apply type conversions where Tango CRM field types differ from Pipedrive supported types (e.g., currency fields, checkbox fields, or formatted text fields). Dropdown or multiselect custom fields in Tango CRM are mapped to Pipedrive dropdown or multiselect fields with value-level mapping documented in the mapping workbook.
Tango CRM
Tag / Label
Pipedrive
Label
1:1Tags applied to Tango CRM Contacts, Companies, or Deals transfer as Pipedrive Label records. Multi-value tag fields are split into individual label assignments during transformation. Pipedrive maintains separate Label sets for People, Organizations, Deals, and Leads; we map source tags to the appropriate entity's label set based on the record type they were attached to in Tango CRM.
Tango CRM
Note
Pipedrive
Note
1:1Free-text notes attached to Tango CRM Contacts, Companies, or Deals migrate as Pipedrive Note records linked to the corresponding Person, Organization, or Deal via the note's entity_id and entity_type fields. HTML-formatted notes are stripped to plain text unless the destination Pipedrive account has rich-text note support enabled. Note timestamps are preserved as Activity timestamps for timeline ordering.
Tango CRM
User / Owner
Pipedrive
User
1:1Tango CRM Users and record owners are resolved by email match against the destination Pipedrive account's user roster. We extract every distinct owner email from source records during extraction and cross-reference against Pipedrive User email addresses. Users present in Pipedrive receive the migrated records as their owner. Users absent from Pipedrive are flagged in a reconciliation list for the customer's admin to provision before import resumes. Role and permission configurations are not migrated; these are set up in Pipedrive post-migration.
Tango CRM
Product
Pipedrive
Product
1:1If Tango CRM stores product or service records linked to Deals, those records migrate to Pipedrive Product entries. Product name, code, and pricing fields map to Pipedrive Product fields. Products are created before Deal import so that the Product ID can be associated with any Deal line items during the Deal migration phase.
Tango CRM
Deal (Lost)
Pipedrive
Deal (closed lost)
1:1Closed-lost Deals from Tango CRM migrate to Pipedrive Deals with status set to lost and the loss reason field populated where available. We preserve the original Tango CRM stage label and probability at the time of closure for historical reporting consistency. Closed-lost Deals are included in the migration because the historical pipeline data is relevant for sales performance analysis in Pipedrive.
Tango CRM
Relationship Chain
Pipedrive
Person-Organization-Deal linkage
1:1The relational structure linking Contacts to Companies and Deals to Contacts and Companies is preserved by resolving the target record's ID at migration time. We maintain a cross-reference table mapping Tango CRM record IDs to Pipedrive record IDs. When importing Deals, the resolved Organization ID and Person ID are written into Pipedrive's org_id and person_id fields on the Deal record, preserving the relationship chain in the destination CRM.
| Tango CRM | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company | Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline Stage | Pipeline + Stagelossy | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| Activity | Activity1:many | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Tag / Label | Label1:1 | Fully supported | |
| Note | Note1:1 | Fully supported | |
| User / Owner | User1:1 | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Deal (Lost) | Deal (closed lost)1:1 | Fully supported | |
| Relationship Chain | Person-Organization-Deal linkage1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Tango CRM gotchas
No public API confirmed limits automation options
Attachment extraction is unconfirmed
Pipeline stage names rarely align between CRMs
Pipedrive gotchas
Custom field hash keys differ per account
Export access gated by visibility groups
Token-based API rate limits since December 2024
Sequences and Automations not exposed via REST API
Cost escalates via workflow caps and add-ons
Pair-specific challenges
Migration approach
Export feasibility scoping
We audit the available data extraction path from Tango CRM during discovery. We test CSV export availability for each object type (Contacts, Companies, Deals, Activities, Notes), evaluate any browser-based export options if CSV is partial, and confirm whether any database-level export is accessible for hosted instances. The outcome is a written export feasibility report that defines whether the migration proceeds via CSV, browser capture, or a hybrid approach. This step gates the timeline; if no export path is confirmed, we discuss alternatives before proceeding.
Pipedrive workspace preparation
We configure the destination Pipedrive account before any data import. This includes creating Pipedrive Pipelines with the correct Stages, stage order, and probability values per the stage mapping worksheet; creating all custom fields for People, Organizations, and Deals before the import step so that field mapping can reference them; inviting and provisioning Pipedrive Users to match the source owner roster; and setting up the Organizations and Leads label sets if tag migration is in scope. Pipedrive Import2 or native CSV import settings are configured in advance for the chosen import method.
Data extraction from Tango CRM
We extract data from Tango CRM using the path confirmed in scoping. For CSV-based extraction, we export each object type (Contacts, Companies, Deals, Activities, Notes) separately and validate record counts and field headers. For browser-based capture, we use structured extraction scripts to pull record data into staging tables. We build a source record ID cross-reference table during this phase to support relationship resolution in the transformation step. Any data quality issues identified (duplicate records, missing required fields, malformed data) are flagged and reported to the customer for remediation before transformation.
Data transformation and relationship resolution
Extracted data is cleaned, deduplicated, and transformed to match Pipedrive's data model. Contact records are split into Pipedrive Person records; Company records into Pipedrive Organization records. Deal records are transformed with the stage mapping applied. Owner email addresses are resolved against the Pipedrive User roster to produce Owner ID values. The relationship chain is resolved by looking up Organization IDs and Person IDs from the cross-reference table and writing them into the corresponding Pipedrive Deal fields. Custom fields are mapped to their Pipedrive equivalents by name and type. Activities are split by type and written to transformation tables keyed by the target entity ID.
Import and reconciliation
We import data into Pipedrive in dependency order: Organizations first (to satisfy the org_id lookup on People), then People with org_id resolved, then Deals with person_id and org_id resolved, then Products, then Activities by type. Import uses the Pipedrive REST API with rate-limit handling and exponential backoff, or Pipedrive's native CSV import tool for supported object types. After each import phase, we emit a row-count reconciliation report comparing source record counts to destination record counts. Discrepancies are investigated and corrected before the next phase begins. Any unmapped custom fields or values are documented in the mapping workbook for manual review.
Cutover and automation rebuild handoff
We freeze write access to Tango CRM during the cutover window, run a final delta import of any records modified during the migration window, then switch the team to Pipedrive as the system of record. We deliver a written automation rebuild inventory listing every workflow, automation rule, or scheduled task identified in Tango CRM with its trigger, conditions, and recommended Pipedrive Workflow Automation equivalent. Attachments catalogued during scoping are listed with the target record for manual re-upload. We do not rebuild Tango CRM automations in Pipedrive as part of the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Tango CRM
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 7 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Tango CRM and Pipedrive.
Object compatibility
7 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Tango CRM: Not publicly documented.
Data volume sensitivity
Tango CRM doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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