CRM migration
Field-level mapping, validation, and rollback between Delta Sales CRM and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Delta Sales CRM
Source
Pipedrive
Destination
Compatibility
7 of 12
objects map 1:1 between Delta Sales CRM and Pipedrive.
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from Delta Sales CRM to Pipedrive is a migration from a no-API, Android-first field CRM to a REST-API-driven sales CRM built for pipeline visibility. Delta Sales CRM exports data only as CSV with no documented public API, which means we build a custom extraction pipeline from Delta's web application data layer and transform the output into Pipedrive's import format. Pipedrive's Organization-Person-Deal model differs from Delta's Company-Contact-Deal structure primarily in naming and the explicit Person object for individual contacts. We handle the object mapping, resolve parent-record lookups (Organizations for Persons, Persons for Deals), and chunk activity histories by rep and date range to avoid timeouts. Delta's field-force features — GPS visit tracking, attendance, and beat plans — have no native Pipedrive equivalent; we migrate beat plan data as a structured custom object and inventory the rest for the admin to rebuild in Pipedrive or a field management add-on 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 Delta Sales 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.
Delta Sales CRM
Contact
Pipedrive
Person
1:1Delta Contacts map directly to Pipedrive Person records. The standard contact fields (name, phone, email, address) map to Pipedrive's name, phone, email, and address fields. We preserve the link to the originating Delta Company record as a custom field delta_company_id__c for reference. Delta's contact-specific custom fields migrate to Pipedrive Person custom fields of equivalent type (text, number, date, or picklist). All Person records import before Deals to satisfy the PersonId lookup requirement.
Delta Sales CRM
Company (Account)
Pipedrive
Organization
1:1Delta Companies map to Pipedrive Organizations. The company name, website, industry, phone, and address fields map directly. Pipedrive Organizations are created before Persons so that the organization_id reference on Person is resolved at insert time. We use company name as the dedupe key to prevent duplicate Organizations during import. Company-specific custom fields migrate to Pipedrive Organization custom fields.
Delta Sales CRM
Lead
Pipedrive
Lead
1:1Delta Leads map to Pipedrive Lead records. We preserve lead status, source attribution, and owner assignment from Delta. If Delta Leads have been partially converted to Deals without a full conversion workflow, we preserve the partial state as custom fields and create matching Pipedrive Leads. Pipedrive Lead Status values are configured during Pipedrive setup to match Delta's lead lifecycle stages.
Delta Sales CRM
Deal
Pipedrive
Deal
1:1Delta Deals map to Pipedrive Deals with direct field mapping for deal title, value, stage, expected close date, and probability. The Delta pipeline and stage assignment maps to a Pipedrive pipeline and stage configuration that we build in Pipedrive before migration. Deal owner resolves by matching Delta owner email to a Pipedrive User. Lost-won reasons from Delta custom fields become custom deal fields in Pipedrive.
Delta Sales CRM
Pipeline and Stage
Pipedrive
Pipeline and Stage
lossyDelta pipelines and their stage definitions export as configuration metadata. We create Pipedrive pipelines with matching stage names, stage order, and probability percentages. Stage probabilities round to Pipedrive's integer-percentage format. If Delta has multiple pipelines, each becomes a separate Pipedrive pipeline. Stage colors and stage win/loss flags are configured in Pipedrive to match Delta's visual pipeline presentation as closely as possible.
Delta Sales CRM
Product
Pipedrive
Product
1:1Delta Products map to Pipedrive Products. Product name, SKU, price, unit, and description migrate directly. We create the Product records in Pipedrive before importing any Deals that reference them, so the product_id reference resolves at import time. Products without deals attach as orphan catalog items with no migration risk.
Delta Sales CRM
Invoice
Pipedrive
Deal (with custom fields)
lossyPipedrive does not have a native invoice object in its standard CRM tier. We map Delta invoice headers (invoice number, date, total amount, status) as custom fields on the associated Pipedrive Deal. Line items are appended as a custom text field in structured format (product name, quantity, unit price per line). If the customer requires full invoice reconstruction, this is documented in the migration scope and may require a Pipedrive invoice app from the marketplace.
Delta Sales CRM
Payment
Pipedrive
Deal custom fields
lossyDelta Payment records (amount, date, method, associated invoice) migrate as structured custom fields on the linked Pipedrive Deal. Payment method maps to a picklist custom field; payment date and amount map to date and currency fields. If multiple payments exist per invoice, we concatenate them into a multi-entry custom text field with a documented format.
Delta Sales CRM
Activity (Task, Meeting, Call)
Pipedrive
Activity
1:1Delta Activities map to Pipedrive Activities by type: calls map to Activity type = Call, meetings to Activity type = Meeting, tasks to Activity type = Task, and follow-ups to Activity type = Task. We chunk activity exports by rep and date range (90-day windows) to avoid export timeouts on large activity histories. Each Activity links to the correct Person and Deal by resolving the parent record IDs at migration time. Activity dates and assignees preserve from Delta's original values.
Delta Sales CRM
Custom Field
Pipedrive
Custom Field
lossyDelta custom fields across all objects migrate to Pipedrive custom fields of equivalent type. We pre-create Pipedrive custom fields before importing any data so the fields exist during import. Picklist custom fields require value-list alignment between Delta and Pipedrive. Multi-select picklists in Delta map to Pipedrive multi-select custom fields. All custom field definitions are documented in the scoping phase with their source field type, target Pipedrive field type, and any transformation logic required.
Delta Sales CRM
Beat Plan (Route Plan)
Pipedrive
Custom Object
lossyDelta Beat Plans have no direct Pipedrive equivalent. We export the beat plan structure (route name, assigned rep, customer list, sequence order, visit frequency) as a structured CSV and create a Pipedrive custom object (BeatPlan__c) with fields for route_name, assigned_user, customer_person_id, visit_sequence, and frequency. We deliver this as a separate import package with a documented custom object schema so the admin can configure it in Pipedrive after migration. This is explicitly scoped as a reference reconstruction, not an automated migration of Delta's routing logic.
Delta Sales CRM
Attachment (Document)
Pipedrive
File (via manual upload)
1:1Delta file attachments migrate as binary blobs with their associated record ID preserved. We export attachments in their original format (images, PDFs, documents) and store them in a flat directory structure keyed by record ID. The migration package includes a manifest mapping each attachment to its parent Delta record. Because Pipedrive's bulk import does not support file attachment ingestion, we deliver attachments as a downloadable package with a per-record reference guide for the customer's admin to upload manually to Pipedrive after migration.
| Delta Sales CRM | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person1:1 | Fully supported | |
| Company (Account) | Organization1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline and Stage | Pipeline and Stagelossy | Fully supported | |
| Product | Product1:1 | Fully supported | |
| Invoice | Deal (with custom fields)lossy | Fully supported | |
| Payment | Deal custom fieldslossy | Fully supported | |
| Activity (Task, Meeting, Call) | Activity1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Beat Plan (Route Plan) | Custom Objectlossy | Fully supported | |
| Attachment (Document) | File (via manual upload)1:1 | 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.
Delta Sales CRM gotchas
No public API confirmed — migration relies on CSV exports
Lifetime deal plans create migration urgency gaps
Offline-first sync can produce duplicate records on reconnect
Analytics gated behind an advanced module
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
Discovery and CSV extraction scoping
We audit Delta's data landscape across all active objects (Contacts, Companies, Leads, Deals, Activities, Products, Invoices, Custom Fields, and Attachments). Because Delta has no public API, the extraction path is CSV-only from the web application. We scope the CSV file structure, identify custom field types and picklist values, estimate activity record volume, flag attachment batches, and confirm beat plan coverage. The scoping output is a written migration plan with record counts, complexity flags, and an explicit list of what cannot migrate cleanly via CSV with customer sign-off required before extraction begins.
Pipedrive schema and pipeline configuration
We configure Pipedrive before any data arrives. This includes creating Pipedrive pipelines and stages to match Delta's pipeline structure (stage names, order, probabilities), pre-creating all custom fields on Person, Organization, Lead, Deal, and the BeatPlan__c custom object, setting up user accounts matching Delta's owner roster by email, and configuring organization structure for multi-subsidiary companies if applicable. Pipedrive's field creation UI or API is used to provision all custom fields before the data import phase so that fields exist and accept values during import.
Custom CSV extraction and transformation pipeline
We build a custom export pipeline from Delta's web data layer that extracts CSV files for each object in dependency order. Each CSV is validated for record counts, required field presence, and type consistency (date formats, numeric fields, picklist values). We transform each CSV into Pipedrive's import format using field-level mapping documented in the scoping phase. Beat plans are extracted as a separate structured CSV with route names, assigned users, customer sequences, and visit frequency. Attachments are exported as binary blobs with a manifest keyed by parent record ID.
Validation import into a Pipedrive trial sandbox
Before touching production, we run a validation import into a Pipedrive trial or sandbox workspace. We reconcile record counts against the Delta source (Organizations imported matches Companies exported, Persons imported matches Contacts exported, Deals imported matches Deals exported, Activities imported matches Activities exported per chunk). We spot-check 20-30 records per object for field-level accuracy against the source CSV. Relationship integrity is verified: Persons are linked to Organizations, Deals are linked to Persons and Organizations, Activities are linked to their parent records. Any mapping errors are corrected in the transform pipeline and the validation import is repeated until counts and spot-checks pass.
Production migration in dependency order
We run production migration in strict dependency order: Pipedrive Users (resolved by email from Delta owners), Organizations (from Delta Companies), Persons (from Delta Contacts with organization_id resolved), Leads (from Delta Leads), Pipelines and Stages (configuration), Deals (from Delta Deals with PersonId and OrganizationId resolved), Products, Activity history (by type and date window with chunk reconciliation per batch), Invoice metadata (as Deal custom fields), Payment metadata (as Deal custom fields), Custom Fields (pre-created and populated), and BeatPlan__c custom object records last. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, final validation, and automation handoff
We freeze write access to Delta during the cutover window, run a final delta export capturing any records modified during migration, import the delta into Pipedrive, and perform a final reconciliation comparing Pipedrive record counts to the combined Delta export. We spot-check the Pipedrive UI with the customer to verify pipeline stages, deal values, activity timelines, and organization-contact relationships. We deliver a migration completion report documenting record counts per object, unmapped fields, excluded records, and a beat plan reconstruction reference. We do not migrate Delta's workflows, email sequences, or automation rules; we deliver a written inventory of these for the admin to rebuild in Pipedrive's automation builder.
Platform deep dives
Delta Sales CRM
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Delta Sales CRM and Pipedrive.
Object compatibility
3 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
Delta Sales CRM: Documented in API reference at apidocs.deltasalesapp.com — specific thresholds not stated publicly; confirmed during scoping.
Data volume sensitivity
Delta Sales CRM exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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FAQ
Answers to the questions buyers ask most during Delta Sales CRM to Pipedrive migration scoping. Not seeing yours? Book a call.
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