CRM migration
Field-level mapping, validation, and rollback between Results and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Results
Source
Pipedrive
Destination
Compatibility
7 of 10
objects map 1:1 between Results and Pipedrive.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Results is a CRM with limited publicly documented API access, which means migration scope must be verified during scoping rather than assumed from public documentation. We begin every Results migration with a data audit and sample export to confirm what object types, fields, and attachments are exportable, then map findings against Pipedrive's REST API v2. Pipedrive's object model uses Organizations (Companies), Persons (Contacts), Deals, Activities (calls, emails, meetings, tasks), and Products with strict field-level type validation in API v2. We flag any Results objects without a clear Pipedrive equivalent during scoping, handle orphaned Deals (Deals without a linked Company in Results) before import to satisfy Pipedrive's relationship requirements, and use the Pipedrive API's custom field endpoints to replicate Results custom fields with correct type mapping. Pipelines, stages, and automations require pre-configuration in Pipedrive before migration and are not replicated from Results.
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 Results 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.
Results
Company
Pipedrive
Organization
1:1Results Companies map to Pipedrive Organizations. The company domain or website field from Results becomes the Organization's Website field and serves as the deduplication key during import. We resolve any duplicate Organizations by matching on domain before insert to prevent orphaned or split company records in Pipedrive.
Results
Contact
Pipedrive
Person
1:1Results Contacts map to Pipedrive Persons. Name, email, phone, and address fields migrate directly. Each Person is linked to its parent Organization via the org_id field, which we resolve at migration time by matching the Contact's company reference to the Organization created in the previous phase.
Results
Deal
Pipedrive
Deal
1:1Results Deals map to Pipedrive Deals with stage, value, owner, and close date preserved. Stage probability percentages are calculated from Results deal stage percentages if available. Pipedrive requires a linked Organization (WhatId) on each Deal; we resolve this linkage from the Results deal-company relationship. Any Deals without a company link enter a reconciliation queue for the customer to resolve before final import.
Results
Pipeline
Pipedrive
Pipeline
lossyResults pipelines map to Pipedrive Pipelines. We create the Pipeline structure in Pipedrive (pipelines and stages) before migration begins. Stage names and probabilities migrate from Results stage values. Pipedrive requires pipelines to exist before Deals are imported, so this is a pre-migration configuration step.
Results
Activity
Pipedrive
Activity
1:1Results engagement records (calls, emails, meetings, tasks) map to Pipedrive Activity objects using type-specific endpoints. Activity type, subject, content, date, and duration fields migrate with original timestamps preserved to maintain the activity timeline ordering. We map call disposition and outcome values to custom Activity fields in Pipedrive.
Results
Custom Field
Pipedrive
Custom Field
lossyResults custom fields migrate to Pipedrive custom fields. We pre-create the destination custom fields in Pipedrive during the schema phase with correctly typed field definitions (text, number, date, dropdown, checkbox, etc.) to satisfy Pipedrive API v2 strict validation. Field type mapping requires verification during the Results scoping call since Results field types may differ from Pipedrive equivalents.
Results
Owner
Pipedrive
User
1:1Results owners map to Pipedrive users by email address match. We extract all distinct owner values from Results records, match against the Pipedrive destination user list, and flag any owners without a matching Pipedrive user for manual provisioning before migration resumes. Owner resolution must complete before Deal import because OwnerId is a required reference on Deals.
Results
Attachment
Pipedrive
ContentDocument
lossyResults attachments migrate as Pipedrive ContentDocument records with ContentDocumentLink associations to the parent record (Person, Organization, or Deal). Pipedrive imposes file size limits and supports specific file types. We verify attachment sizes against Pipedrive's limits during the scoping export and flag any files requiring alternative handling (e.g., hosted links or cloud storage references).
Results
Company-Deal linkage
Pipedrive
Deal-Organization WhatId
1:1Pipedrive enforces that each Deal has a WhatId pointing to an Organization. Results Deals can exist without a linked Company, which requires resolution before Pipedrive import. We offer three handling strategies: create a placeholder Organization for unlinked Deals, link them to a designated parent account, or let the customer decide per-record during a reconciliation review before final import.
Results
Product
Pipedrive
Product
1:1Results Products map to Pipedrive Products with name, SKU, price, and description preserved. Standard Price Book entries are created in Pipedrive during import. Products must exist before Line Items are imported so that the product reference is satisfied at insert time.
| Results | Pipedrive | Compatibility | |
|---|---|---|---|
| Company | Organization1:1 | Fully supported | |
| Contact | Person1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline | Pipelinelossy | Fully supported | |
| Activity | Activity1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Owner | User1:1 | Fully supported | |
| Attachment | ContentDocumentlossy | Fully supported | |
| Company-Deal linkage | Deal-Organization WhatId1:1 | Fully supported | |
| Product | Product1:1 | 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.
Results gotchas
QuickBooks-linked records have dual sources of truth
Suite is not architected to scale beyond ~15 users / 15K contacts
No documented public REST API
Field Service photos and signatures require separate binary extraction
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 Results schema verification
We conduct a scoping call to verify Results export capabilities and schema. We request a sample data export to confirm object types, field lists, field types, custom object presence, calculated fields, and attachment availability. We document every Results object and field with its data type and flag any that cannot be mapped to a Pipedrive equivalent. This step produces a written migration scope and field mapping workbook before any data moves.
Pipedrive schema pre-configuration
We configure Pipedrive before migration begins. This includes creating Pipelines and Stages (which must exist before Deals import), creating custom fields with correctly typed definitions, setting up Organization and Person field layouts, provisioning users for owner matching, and configuring any custom objects or product records needed for the migration. Pipedrive schema is set up in a staging context and validated before production migration.
Data extraction and quality audit
We extract all records from Results in dependency order, starting with Organizations and Persons (the parent records), then Deals, then Activities. We run a data quality audit to identify duplicate records, records with missing required fields (especially email addresses on Contacts and Organization links on Deals), inconsistent date formats, and records that cannot be mapped. We produce a data quality report and resolve issues in coordination with the customer's Results admin before migration.
Data transformation and field mapping
We transform Results records to match Pipedrive's field definitions. This includes resolving the organization-deal linkage (WhatId), matching owner emails to Pipedrive user IDs, converting date formats to RFC 3339, mapping custom field values to Pipedrive custom field types, and handling orphaned Deals through the agreed resolution strategy. We load transformed data into the staging Pipedrive account for validation before production migration.
Production migration in dependency order
We run production migration in the correct dependency sequence: Organizations first (since Persons and Deals reference them), then Persons with org_id resolved, then Deals with WhatId resolved, then Activities with parent record references established, then Attachments as ContentDocument records. Each phase produces a row-count reconciliation report. We use Pipedrive API v2 endpoints with rate-limit handling and exponential backoff on 429 responses.
Cutover, validation, and rebuild handoff
We freeze new data entry in Results during cutover, run a final delta migration of any records created or updated during the migration window, validate record counts in Pipedrive, and confirm Pipedrive is set as the system of record. We deliver a written inventory of automations and workflows requiring manual rebuild in Pipedrive and do not migrate them as code. We provide a one-week hypercare window to resolve post-migration reconciliation issues raised by the sales team.
Platform deep dives
Results
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 Results 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
Results: Not publicly documented.
Data volume sensitivity
Results 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
Answers to the questions buyers ask most during Results to Pipedrive migration scoping. Not seeing yours? Book a call.
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