CRM migration
Field-level mapping, validation, and rollback between Highrise and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Highrise
Source
Pipedrive
Destination
Compatibility
8 of 11
objects map 1:1 between Highrise and Pipedrive.
Complexity
CModerate
Timeline
2-3 weeks
Overview
Moving from Highrise to Pipedrive is an upgrade from a contact-centric list with flat deal tracking to a pipeline-centric sales CRM built around deal stages, activity scheduling, and revenue visibility. Highrise exports People and Companies as structured CSV, but Deals, Cases, Notes, and Emails only as plain text—we parse the TXT output, extract field values, and reconstruct them as typed Pipedrive records. The key design decisions at migration time are the Person-Organization linkage (Highrise stores both as flat Party records; Pipedrive requires explicit Organization lookups on Person records), the pipeline-stage mapping (Highrise's named stages become Pipedrive pipeline stages), and the engagement history strategy (Highrise stores calls, emails, and notes as Recordings; we map these to Pipedrive Activities and Notes linked to the correct Person or Organization). Automations do not migrate because Highrise has no native automation engine to speak of, and Pipedrive workflow automation requires separate configuration on the Advanced plan or above. We deliver a written automation inventory and pipeline configuration guide so your admin can rebuild them 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 Highrise 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.
Highrise
People (Contacts)
Pipedrive
Person
1:1Highrise People map to Pipedrive Person. The standard fields—name, email address, phone number, postal address, and social links—transfer directly. We use the Highrise party XML export as the primary source and resolve the Organization lookup in Pipedrive by matching Highrise's linked Company name against the Organization records we import first. Any untagged or orphan People (no Company link) import as standalone Persons without an OrganizationId. Custom fields on People export via Highrise's custom_field_subjects API and map to Pipedrive custom fields created during schema setup.
Highrise
Company (Party)
Pipedrive
Organization
1:1Highrise Companies map to Pipedrive Organization. We import Organizations first because Person records require an OrganizationId lookup during insert. Company name becomes the Organization name, website becomes the web field, and any phone or address fields transfer directly. The Highrise Company-Person association is preserved by linking each Person to its matching Organization via the org_name match on the Pipedrive Person import.
Highrise
Deal
Pipedrive
Deal
1:1Highrise Deals map to Pipedrive Deals. Highrise exports Deals as plain text (.txt), not structured CSV, so we parse the TXT output to extract deal name, stage, value, responsible user, and linked Party references. The deal name maps to Pipedrive title, value maps to amount, and the Highrise stage (e.g., New, Contacted, Qualified, Won, Lost) maps to a Pipedrive pipeline stage that we configure during schema setup. The linked Party reference resolves to the Person or Organization we imported in the preceding phases. Loss reason and close date transfer to custom fields if the Pipedrive plan supports them.
Highrise
Pipeline Stages
Pipedrive
Pipeline Stage
lossyHighrise's named deal stages map to Pipedrive stages within the default or a custom Pipeline. We extract the full stage configuration during scoping (stage name, position, default probability if any) and create a matching Pipedrive Pipeline with stages in the same order. Stage probability values in Highrise become stage probability fields in Pipedrive. If the account has multiple named pipelines in Highrise, we create multiple Pipedrive Pipelines and map each Deal to its corresponding Pipeline.
Highrise
Case
Pipedrive
Activity (Task)
1:manyHighrise Cases handle support or task tracking and export as TXT only, stripping any embedded attachments or rich content. We parse the TXT to extract case title, status (open, resolved, archived), linked Party, and timestamp. Case status maps to Pipedrive Activity with a type field (task or note) and a custom status field preserving the original Highrise state. Cases with no natural Pipedrive equivalent become Activity records linked to the corresponding Person or Organization. Any case attachments cannot migrate as files; we document them for manual re-upload post-migration.
Highrise
Task
Pipedrive
Activity (Task)
1:1Highrise Tasks map to Pipedrive Activities of type task. We export completed and open tasks via the Highrise API with due dates, assignees (mapped to Pipedrive User by email match), and related Party references. Completed status maps to Pipedrive's done flag. Tasks without a linked Party import as unattributed activities with a note referencing the Highrise task ID for reconciliation.
Highrise
Note (Recording)
Pipedrive
Note
1:1Highrise Notes are Recordings of type NOTE attached to People or Companies. They export as TXT, stripping HTML formatting. We capture the full text body and metadata (date, author, related Party) and create Pipedrive Notes linked to the corresponding Person or Organization record. The author name is stored in a custom Note field if Pipedrive's standard Note object does not preserve it natively. Embedded images or file references in Highrise Notes are flagged for manual re-upload.
Highrise
Email (Recording)
Pipedrive
Note or Activity
1:1Highrise Emails are Recordings of type email attached to People or Companies, exported as plain text. We capture the full email body and metadata (date, subject, direction inbound/outbound, related Party) and create Pipedrive Notes with a subject line prefix or a custom field storing the direction flag. Email threading and attachments cannot be preserved from TXT-only exports. We warn customers before migration that email content will arrive as plain text in Pipedrive Notes without the original formatting.
Highrise
User (Owner)
Pipedrive
User
1:1Highrise Users map to Pipedrive Users by email match. We extract the full user roster (name, email, role if available) and match against the destination Pipedrive account's user list. Any Highrise User without a matching Pipedrive User is held in a reconciliation queue; the customer's Pipedrive admin provisions the missing user before record import resumes. Owner assignment on Deals, Cases, Tasks, and Notes resolves through this User map.
Highrise
Custom Field
Pipedrive
Custom Field
lossyCustom fields on People, Companies, and Deals in Highrise are detected via the custom_field_subjects API endpoints and mapped to Pipedrive custom fields of equivalent type. We pre-create all destination custom fields before any data import. Text fields map to Pipedrive text fields, date fields to date fields, numeric fields to number fields, and multi-select or tag-based fields to Pipedrive options fields. Custom field values on each record transfer during the standard object import phase.
Highrise
Tag
Pipedrive
Label
1:1Highrise Tags are flat labels applied to People, Companies, Deals, and Cases. We export all tag assignments and re-apply them as Pipedrive Labels linked to the corresponding Person, Organization, or Deal. The many-to-many relationship (one record can have multiple tags) is preserved. Pipedrive Labels are a native object and map cleanly from Highrise's tag system without transformation.
| Highrise | Pipedrive | Compatibility | |
|---|---|---|---|
| People (Contacts) | Person1:1 | Fully supported | |
| Company (Party) | Organization1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline Stages | Pipeline Stagelossy | Mapping required | |
| Case | Activity (Task)1:many | Fully supported | |
| Task | Activity (Task)1:1 | Fully supported | |
| Note (Recording) | Note1:1 | Fully supported | |
| Email (Recording) | Note or Activity1:1 | Fully supported | |
| User (Owner) | User1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Tag | Label1:1 | 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.
Highrise gotchas
API rate limits are endpoint-specific and aggressive
Deals, Cases, Notes, and Emails export as plain text only
No workflow or automation engine to migrate
Atom feeds are the best source for recording history
Free and Solo tiers have hard contact and storage caps
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 export audit
We audit the source Highrise account for People count, Company count, Deal count and stage distribution, Case count and status, Task volume, engagement history (notes, emails, calls), custom field definitions on People/Companies/Deals, and tag taxonomy. We also identify the Highrise account tier and any record counts approaching the Solo plan's 20,000-contact cap, as this affects whether the migration runs in a single pass or in waves. The discovery output is a written migration scope with record counts, schema map, and a timeline estimate.
Pipedrive workspace configuration
We configure the Pipedrive workspace before any data import: create the Pipedrive Pipeline with stages matching the Highrise stage list, create any custom fields matching Highrise custom field definitions, map the user roster by email match against the existing Pipedrive Users, and set the default currency and date format. If the customer uses multiple pipelines in Highrise, we create corresponding Pipedrive Pipelines. Schema configuration is validated in Pipedrive before export begins.
Export parsing and transform
We extract data from Highrise via the API (People, Companies, Tasks, Users) and via the built-in export tool (Deals, Cases, Notes, Emails as TXT). The TXT exports are parsed to extract structured field values—deal name, stage, value, linked Party; case title, status, linked Party; note body and metadata. All parsed records are validated against the Pipedrive schema (required fields present, field types correct) and any records with missing required fields are flagged for customer review before import.
Organization import first, then Person import with lookups
We run Pipedrive import in dependency order. Organizations import first from Highrise Company records. Persons import second with OrganizationId resolved by matching the Highrise Company name to the newly created Organization name. This two-phase approach satisfies Pipedrive's OrganizationId lookup requirement and prevents orphan Persons. Owner assignment on each Person resolves via the User map. Tags apply during Person import via Pipedrive's label assignment.
Deal, Case, Task, and engagement import
Deals import after Organizations and Persons exist, with the pipeline stage validated against the Pipedrive Pipeline configuration, the linked Party resolved to the Person or Organization ID, and the Owner resolved via the User map. Cases import as Activity records linked to the corresponding Person or Organization. Tasks import as Activity records with due dates and assignees. Notes and Emails from Highrise Recordings import as Pipedrive Notes with metadata preserved. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation inventory delivery
We freeze Highrise writes during cutover, run a final delta migration of any records modified during the migration window, then enable Pipedrive as the system of record. We deliver a written inventory of every identified Zapier or external automation, a Pipedrive pipeline configuration summary, and a Pipedrive Workflow Automation setup guide for the customer's admin to follow post-migration. We support a one-week hypercare window where we resolve any record-count discrepancies or lookup failures raised by the customer's team. We do not configure Pipedrive Workflow Automation as part of the standard migration scope; that is a separate engagement.
Platform deep dives
Highrise
Source
Strengths
Weaknesses
Pipedrive
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 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 Highrise and Pipedrive.
Object compatibility
4 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
Highrise: 150 req/5s general; 2 req/10s for email search; 10 req/10s for recordings.xml. Returns 503 with Retry-After header on exceeded limits..
Data volume sensitivity
Highrise 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 Highrise to Pipedrive migration scoping. Not seeing yours? Book a call.
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