CRM migration
Field-level mapping, validation, and rollback between Divalto weavy and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.
Divalto weavy
Source
Pipedrive
Destination
Compatibility
6 of 10
objects map 1:1 between Divalto weavy and Pipedrive.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Migrating from Divalto weavy to Pipedrive is primarily an export-coordination project. Divalto weavy does not publish a public REST API reference, so integrations route through Zapier and bulk data extraction requires either a vendor-assisted export from the Divalto portal or coordinated manual CSV generation inside the platform. We manage that dependency at the start of every project. On the destination side, Pipedrive exposes a fully documented REST API v2 with typed endpoints for People, Organizations, Deals, Activities, Products, and Pipelines, which makes import straightforward once the source data is in hand. We map Divalto Companies to Pipedrive Organizations, Divalto Contacts to Pipedrive People, Divalto Deals to Pipedrive Deals with stage-to-pipeline configuration, and Divalto Activities to Pipedrive Activities (calls, emails, meetings, tasks) with owner and timestamp preserved. Custom objects built in the Development Studio receive explicit field-level mapping before any record is inserted. We do not migrate route or itinerary data, as there is no equivalent object in Pipedrive. Workflows, Zapier automations, and any Development Studio workflows do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Pipedrive Automations.
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 Divalto weavy 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.
Divalto weavy
Company
Pipedrive
Organization
1:1Divalto weavy Companies store the business entity, address, and industry data used by both sales and field technician workflows. We map company_name to Pipedrive Organization name, address fields to address_street, address_city, address_postal_code, and address_country, and industry to Pipedrive industry. The organization ID is used as the dedupe key. We preserve any custom fields defined on the Company object in Development Studio as custom Organization fields in Pipedrive created before import.
Divalto weavy
Contact
Pipedrive
Person
1:1Divalto weavy Contacts carry the standard name, email, phone, and role fields plus any Development Studio custom fields. We map name, email address, phone number, and role/title to Pipedrive Person fields, and preserve owner assignments via email match against Pipedrive Users. Custom fields on Contact receive explicit type-mapped Pipedrive custom fields created in the destination account before migration begins.
Divalto weavy
Lead
Pipedrive
Person or Lead (configurable)
lossyDivalto weavy's suspect-to-prospect-to-client lifecycle maps to either Pipedrive's Lead object (if the prospect is unqualified) or to a Person record (if already qualified). We determine the mapping during scoping based on the customer's lead status values in Divalto weavy. Unqualified leads migrate to Pipedrive Lead; prospects and clients migrate as Person records linked to an Organization.
Divalto weavy
Deal
Pipedrive
Deal
1:1Divalto weavy Deals represent revenue opportunities tied to pipeline stages. We map deal title, value, expected close date, stage name, and owner email to Pipedrive Deal title, value, expected_close_date, stage_id, and owner_id. Stage mapping is the critical transform: we extract the full Divalto weavy stage list during discovery and configure matching Pipedrive pipeline stages before migration so that stage_id references resolve correctly.
Divalto weavy
Pipeline Stage
Pipedrive
Stage
lossyDivalto weavy pipeline stages are configurable per organization with no documented API export of stage definitions. We request the stage list during vendor export coordination and replicate the stage names, probabilities, and order as Pipedrive Stages within the designated Pipeline. Custom stages defined in Development Studio receive explicit mapping notes and are flagged for manual confirmation before import.
Divalto weavy
Activity (Call, Meeting, Task)
Pipedrive
Activity
1:1Divalto weavy Activities capture calls, meetings, and action items logged against contacts or deals. We map activity type, date, description, and linked owner to Pipedrive Activity subject, done_date, note, and assigned_to_user_id. Activity history is migrated in full to preserve the sales timeline. Type-specific fields (call duration, meeting location) map to Pipedrive custom activity fields created during schema setup.
Divalto weavy
User/Team Member
Pipedrive
User
1:1Divalto weavy user profiles (Standard, Sales, Technician, Full) are mapped by email match to Pipedrive User records. Divalto weavy profile assignments are preserved in a custom text field on the Pipedrive User record for audit and reporting. We resolve users by email lookup and hold any unmatched owners in a reconciliation queue for the customer's admin to provision in Pipedrive before record import.
Divalto weavy
Custom Object (Development Studio)
Pipedrive
Custom Fields on Standard Object
lossyDivalto weavy Development Studio custom objects vary per tenant with no documented schema export. We run a pre-migration schema audit to identify every custom object and field definition in the source account, then create equivalent Pipedrive custom fields on the appropriate standard object (Person, Organization, or Deal) before migration. Custom object relationships are flattened into lookup fields or multi-select picklists depending on cardinality.
Divalto weavy
Attachment
Pipedrive
File
1:1Document attachments linked to companies, contacts, and deals in Divalto weavy are extracted as files and uploaded to Pipedrive File objects linked via the related Person, Organization, or Deal. Original filenames and file types are preserved. We map the parent object reference during import so files attach to the correct record in Pipedrive.
Divalto weavy
Lead Status
Pipedrive
Lead Status
lossyDivalto weavy's lead lifecycle statuses (suspect, prospect, client) are mapped to Pipedrive Lead status values. We extract the existing status list from the source export and configure matching status labels in Pipedrive Leads. Status transitions that have no Pipedrive equivalent are mapped to the nearest default status with a flag in a custom field for the admin to review post-migration.
| Divalto weavy | Pipedrive | Compatibility | |
|---|---|---|---|
| Company | Organization1:1 | Fully supported | |
| Contact | Person1:1 | Fully supported | |
| Lead | Person or Lead (configurable)lossy | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline Stage | Stagelossy | Fully supported | |
| Activity (Call, Meeting, Task) | Activity1:1 | Fully supported | |
| User/Team Member | User1:1 | Fully supported | |
| Custom Object (Development Studio) | Custom Fields on Standard Objectlossy | Fully supported | |
| Attachment | File1:1 | Fully supported | |
| Lead Status | Lead Statuslossy | 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.
Divalto weavy gotchas
No public API documentation for direct migration
Per-user pricing model inflates cost with headcount
Development Studio customizations are non-standard and require explicit mapping
Route and itinerary data has no destination equivalent
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 coordination setup
We audit the source Divalto weavy account across standard objects (Companies, Contacts, Leads, Deals, Activities, Attachments) and any Development Studio custom objects. We run a schema audit to catalogue every custom field definition alongside the data export. Simultaneously, we set up the export coordination process: since Divalto weavy has no public API, we provide the customer with an export checklist and a CSV structure template, and coordinate with their Divalto account manager or admin to extract full data dumps from the vendor portal. This phase produces a written migration scope and an export delivery schedule. On the Pipedrive side, we confirm the account is provisioned and the Lead feature is enabled if applicable.
Pipedrive schema configuration
We configure Pipedrive before any data arrives. This includes creating the Pipeline and Stages to match Divalto weavy's stage list, creating custom fields on Person, Organization, and Deal objects to receive Development Studio custom field data, setting up User records (resolving by email against the exported owner list), and configuring any lead status values. Pipedrive schema is configured in a live account or Sandbox depending on the customer's preference. All custom fields are created via Pipedrive's Settings UI or API before records are imported.
Data receipt, cleaning, and mapping
Once the Divalto export files arrive, we validate record counts against the migration scope, identify duplicate records, clean incomplete addresses and missing emails, and resolve any encoding issues in French-language data. We build the field mapping workbook that maps every Divalto weavy field to its Pipedrive equivalent, flags custom fields for explicit mapping, and documents the stage-to-pipeline resolution. This workbook is the source of truth for the entire migration. We deduplicate contact and company records before import to prevent duplicate Person and Organization records in Pipedrive.
Owner reconciliation and user provisioning
We extract every distinct owner email from the Divalto export (on Contacts, Companies, Deals, and Activities) and match against Pipedrive Users. Any owner without a matching Pipedrive User goes to a reconciliation queue. The customer's Pipedrive admin provisions missing Users and we validate the match. Owner resolution is required before record import because Pipedrive requires a valid assigned_to_user_id on Deals and Activities.
Production migration in dependency order
We run production migration in record-dependency order: Organizations (from Divalto Companies), Persons (with OrganizationId resolved), Deals (with OrganizationId, PersonId, StageId, and OwnerId resolved), Activities (linked to the migrated Person and Deal records via Pipedrive API), Custom field data (inserted as updates to the migrated records), and Files (attached to the correct parent record). Each phase emits a row-count reconciliation report before the next phase begins. We use Pipedrive's REST API v2 with chunking and rate-limit handling. For large activity histories, we use the Bulk API with exponential backoff.
Cutover, validation, and automation inventory handoff
We freeze Divalto weavy write access during the cutover window, run a final delta migration of any records modified during the migration run, then validate record counts and spot-check 25-50 records against the source export. We deliver a written inventory of all Divalto weavy Zapier automations and Development Studio workflows with a Pipedrive Automations rebuild recommendation for each. We support a one-week hypercare window for reconciliation issues. We do not rebuild Divalto weavy automations as Pipedrive Automations inside the migration scope; that is a separate engagement.
Platform deep dives
Divalto weavy
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 Divalto weavy 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
Divalto weavy: Not publicly documented.
Data volume sensitivity
Divalto weavy 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.
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