CRM migration
Field-level mapping, validation, and rollback between Delivra and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Delivra
Source
Pipedrive
Destination
Compatibility
7 of 11
objects map 1:1 between Delivra and Pipedrive.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Delivra is a marketing-automation CRM organized around Contacts, Custom Tables with relational structures, and Automated Workflows. Pipedrive is a sales-focused CRM organized around People, Organizations, Deals, and Activities. These different mental models are the central challenge of this migration: Delivra's contact-centric data architecture does not map 1:1 to Pipedrive's deal-centric architecture. We resolve that gap by restructuring Delivra Custom Tables into denormalized custom fields on Pipedrive People and Organization records, preserving relationship keys for reference. Engagement history (opens, clicks, campaign interactions) migrates as Activity records with the original timestamp preserved. Lead Scoring values transfer to a custom field on the People record. We do not migrate Automated Workflows, Segments, Email Templates, Forms, or Landing Pages; we deliver a written inventory of each for the customer's admin to rebuild in Pipedrive Goals and Activities.
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 Delivra 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.
Delivra
Contact
Pipedrive
Person (People)
1:1Delivra Contact records map directly to Pipedrive Person records. Core properties including email address, first name, last name, phone, address fields, and custom fields migrate as typed Pipedrive fields. The email address serves as the dedupe key during import. Subscription status and GDPR consent flags from Delivra map to the HasOptedOutOfEmail field on the Person record for compliance continuity. Any Delivra contact property that has no direct Pipedrive equivalent becomes a custom field created before migration begins.
Delivra
Company (in Delivra contact record)
Pipedrive
Organization
1:1Delivra stores company data as properties on the Contact record rather than as a separate object. We extract company-related fields (company name, industry, website, address) and create Pipedrive Organization records, then link the Person record to the Organization via a Person-to-Organization relationship. If the original Delivra contact had no company name, we create an Organization only when a company name exists to avoid orphan organizations.
Delivra
Custom Tables (relational tables)
Pipedrive
Custom Fields on Person and Organization
1:manyDelivra Custom Tables with 1:many or many:many relationships to Contacts cannot map directly to Pipedrive because Pipedrive has no native custom object support. We denormalize these relationships into custom fields on the linked Person or Organization record. For 1:many tables (one contact has multiple related rows), we flatten to multiple custom fields (field_1, field_2, field_n) or to a long-text field with pipe-delimited values. For many:many tables, we store the related table name and key in a custom field and deliver a written schema map so the customer's admin can reconstruct the relationship in an external tool or a linked table if needed.
Delivra
Campaign
Pipedrive
Activity (Note type)
1:1Delivra Campaign records include name, status, targeting criteria, and associated content metadata. We map campaign name and status to a Pipedrive Activity with type Note, linked to the relevant Person and Organization records that were in the campaign audience. The original campaign targeting criteria is stored as a custom note body field. Email content within campaigns migrates as Activity notes; we do not rebuild the visual email layout in Pipedrive since Pipedrive is not an email marketing platform.
Delivra
Lead Scoring
Pipedrive
Custom Field on Person
1:1Delivra Lead Scoring assigns point values to contact attributes and behaviors. We export the numeric score and the scoring model rules. The score migrates as a custom integer field on the Person record (lead_score__c). The scoring model rules are documented in the handoff inventory so the customer's Pipedrive admin can re-implement a similar scoring model using Pipedrive's custom field formulas or a third-party scoring tool.
Delivra
Engagement Data (opens, clicks)
Pipedrive
Activity
1:1Delivra tracks email opens, clicks, and engagement timestamps as properties on the Contact record and as separate engagement event records. We extract the most recent engagement date, total opens, total clicks, and last click URL as custom fields on the Person record. Historical engagement events migrate as Activity records with type Note and the engagement details stored in the activity body, linked to the Person record. Engagement data volume can be large (tens of thousands of events per contact); we batch and paginate using the Pipedrive API rate limits.
Delivra
Segment / List
Pipedrive
Person Field + Tag
lossyDelivra Segments are dynamic filter definitions applied to contact lists. Pipedrive does not have a native segment builder. We translate Delivra segment criteria to a set of Pipedrive Person custom fields and static tags. For each Delivra segment, we identify the matching contacts, apply a tag with the segment name to the Person record in Pipedrive, and document the original segment filter logic so the admin can recreate equivalent filtered views using Pipedrive's Person filter feature.
Delivra
User
Pipedrive
User
1:1Delivra User accounts (email, name, role) map to Pipedrive User records. We extract user records and match by email address against the destination Pipedrive account's User table. Any Delivra User without a matching Pipedrive User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Role-based permissions from Delivra are documented for rebuild in Pipedrive's role and permission settings.
Delivra
Automated Workflow
Pipedrive
Documentation (no code migration)
lossyDelivra Automated Workflows built with visual triggers, conditions, and actions do not migrate as code to Pipedrive. We extract the full workflow logic including decision branches, time delays, action sequences, and entry/exit criteria. We deliver a written inventory document that maps each Delivra workflow to an equivalent Pipedrive Automation Goal and documents the trigger, conditions, and actions in Pipedrive's terminology. The customer's admin rebuilds the automations in Pipedrive after go-live.
Delivra
Email Template
Pipedrive
Activity Note (content reference)
1:1Delivra Email Templates built in the drag-and-drop editor do not transfer as functional templates to Pipedrive because Pipedrive is not an email marketing platform. We extract template content (HTML body, subject line, images as base64 or external URLs) and store it as an Activity note on a designated template Organization or Person record. The customer's admin references the Activity note to rebuild templates in their chosen email marketing tool. Complex templates with conditional content require manual reconstruction.
Delivra
Form and Landing Page
Pipedrive
Documentation (no code migration)
lossyDelivra web forms and landing pages built in the visual editor do not migrate as code. We extract form field definitions, field types, and landing page URLs for documentation purposes. The customer rebuilds forms in Pipedrive Web Forms or a third-party form tool (Typeform, JotForm, HubSpot Forms) and updates their website integration accordingly. Landing pages require rebuild in a dedicated landing page tool.
| Delivra | Pipedrive | Compatibility | |
|---|---|---|---|
| Contact | Person (People)1:1 | Fully supported | |
| Company (in Delivra contact record) | Organization1:1 | Fully supported | |
| Custom Tables (relational tables) | Custom Fields on Person and Organization1:many | Fully supported | |
| Campaign | Activity (Note type)1:1 | Fully supported | |
| Lead Scoring | Custom Field on Person1:1 | Mapping required | |
| Engagement Data (opens, clicks) | Activity1:1 | Fully supported | |
| Segment / List | Person Field + Taglossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Automated Workflow | Documentation (no code migration)lossy | Fully supported | |
| Email Template | Activity Note (content reference)1:1 | Fully supported | |
| Form and Landing Page | Documentation (no code migration)lossy | 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.
Delivra gotchas
API specifications are not publicly documented
Custom Tables require schema-level mapping
Contact-based pricing at migration time
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 schema access coordination
We audit the Delivra account for all objects: Contact records and properties, Custom Tables with schema definitions and relationship types, Campaigns, Segments, Lead Scoring models, engagement event counts, User accounts, and active Automated Workflows. We also submit the Delivra API access request during this phase since response time for schema access is not guaranteed. The discovery output is a written scope document listing every object, record count, custom field, and relational table with a recommendation on denormalization strategy for Pipedrive.
Pipedrive schema preparation
We configure the Pipedrive destination account before any data import. This includes creating custom fields on Person and Organization objects to receive Delivra custom properties and denormalized Custom Table data, setting up Activity types for campaign metadata and engagement records, configuring User accounts and role assignments to match the Delivra user list, and creating Pipedrive Pipelines and Stages if the customer has existing deal data to migrate. Schema preparation runs in the production Pipedrive account or a Sandbox depending on the customer's preference.
Data extraction and transformation from Delivra
We extract data from Delivra via SFTP bulk export or API, depending on what Delivra Support provisions during discovery. Custom Tables are extracted with their full schema including foreign key fields and relationship types. We run the transformation step that denormalizes relational table rows into flattened custom fields on the parent Person record, splitting multi-row data into sequential field names or pipe-delimited text fields. Engagement event data is aggregated to the contact level for the custom fields (opens, clicks, last engagement) with a separate Activity batch for historical events.
Owner reconciliation and user provisioning
We extract every distinct Delivra User referenced on Contact records and match by email against the Pipedrive destination account's User table. Any Delivra user without a matching Pipedrive user goes to a reconciliation queue. The customer's Pipedrive admin provisions missing users in Pipedrive before record import resumes. OwnerId references on Person records require resolved Pipedrive User IDs at the time of import.
Production migration in dependency order
We run production migration in record-dependency order: Users (validated), Organizations (from Delivra contact company properties), People (with OrganizationId resolved), Custom Fields on People (denormalized from Custom Tables), Activities (campaign metadata and engagement history), Tags (segment membership), and Lead Scoring values. Each phase emits a row-count reconciliation report before the next phase begins. We use the Pipedrive REST API with batch chunking, rate-limit handling, and exponential backoff on 429 responses. Engagements run outside business hours to avoid token competition.
Cutover, validation, and automation handoff
We freeze Delivra 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 the Workflow inventory document, the Segment translation map, and the Custom Table denormalization schema to the customer's admin team. We support a one-week hypercare window for reconciliation issues. We do not rebuild Delivra Automated Workflows in Pipedrive as part of migration scope; that is a separate engagement.
Platform deep dives
Delivra
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 Delivra 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
Delivra: Not publicly documented in available documentation.
Data volume sensitivity
Delivra 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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