CRM migration

Migrate from Divalto weavy to Pipedrive

Field-level mapping, validation, and rollback between Divalto weavy and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.

Divalto weavy logo

Divalto weavy

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

60%

6 of 10

objects map 1:1 between Divalto weavy and Pipedrive.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Divalto weavy logo

Divalto weavy

What's pushing teams away

  • Pricing is consistently cited as a downside in French reviews — entry rate from €40/user/month with no free plan, which is steep for VSEs (very small enterprises).
  • No free or freemium tier, so evaluation requires a paid commitment or sales-led demo rather than self-serve trial.
  • Outside France/French-speaking Europe the support and integrator network is thin, limiting adoption for multinational rollouts.
  • Focus on SME/mid-market means very small startups and global enterprises both fall outside the natural fit zone.
  • Catalog website mismatch (weavy.com is a different product) makes vendor identification harder for international buyers — the actual product lives at divalto.com.

Choosing

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Divalto weavy objects map to Pipedrive

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

maps to

Pipedrive

Organization

1:1
Fully supported

Divalto 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

maps to

Pipedrive

Person

1:1
Fully supported

Divalto 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

maps to

Pipedrive

Person or Lead (configurable)

lossy
Fully supported

Divalto 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

maps to

Pipedrive

Deal

1:1
Fully supported

Divalto 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

maps to

Pipedrive

Stage

lossy
Fully supported

Divalto 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)

maps to

Pipedrive

Activity

1:1
Fully supported

Divalto 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

maps to

Pipedrive

User

1:1
Fully supported

Divalto 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)

maps to

Pipedrive

Custom Fields on Standard Object

lossy
Fully supported

Divalto 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

maps to

Pipedrive

File

1:1
Fully supported

Document 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

maps to

Pipedrive

Lead Status

lossy
Fully supported

Divalto 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.

Gotchas + challenges

What specifically takes care here

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 logo

Divalto weavy gotchas

High

No public API documentation for direct migration

Medium

Per-user pricing model inflates cost with headcount

Medium

Development Studio customizations are non-standard and require explicit mapping

Low

Route and itinerary data has no destination equivalent

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • No public API on Divalto weavy requires vendor export coordination

    Divalto weavy does not publish a public REST API reference and has no documented bulk export endpoint. We cannot perform direct API reads. We work around this by coordinating a full data export through the Divalto vendor portal or by structuring manual CSV exports from within the platform. This adds a dependency on vendor responsiveness that is not present in standard CRM-to-CRM migrations. We build a dedicated export script template during discovery that the customer's Divalto admin or account manager completes before we begin the migration run. If the vendor is slow to respond, the project timeline extends accordingly.

  • Development Studio custom objects have no schema export

    Organizations with custom objects or custom fields built in the Development Studio have non-standard schemas that vary per tenant. There is no documented schema registry or export of custom field definitions. We handle this by running a pre-migration schema audit in the source environment, manually cataloguing every custom object and field alongside the data export, and applying explicit field-level mapping rules before any record is loaded into Pipedrive. This step adds one to two weeks to the discovery phase and requires active participation from the customer's Divalto admin to validate the custom object inventory.

  • Route and itinerary data has no Pipedrive equivalent

    Divalto weavy's route planning and itinerary data are mobile-first features specific to field workforce management. Pipedrive has no native route or itinerary object. We do not migrate this data. If route or visit data is business-critical, customers should export it as a standalone report from Divalto weavy before cutover and manage it separately (for example, in a route optimization tool or a spreadsheet). We flag this gap during the scoping call and offer a manual export workflow as an optional add-on, but it is not included in the standard migration package.

  • Pipedrive Leads require a separate enablement step

    Pipedrive's Lead object is not enabled by default on all plans and must be activated in account settings before migration begins. If the migration plan routes unqualified Divalto weavy leads to Pipedrive Leads, we confirm during discovery that the Lead feature is enabled. If not, we either configure it before migration or route all leads to Person records, which is the simpler path for smaller teams. We flag this during scoping and include the configuration step in the approach if required.

Migration approach

Six steps for a successful Divalto weavy to Pipedrive data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Divalto weavy logo

Divalto weavy

Source

Strengths

  • Mobile CRM with offline mode for itinerant salespeople working without reliable connectivity
  • Route optimization and geocoding built natively into the mobile workflow
  • Open application architecture with a Development Studio for custom objects and workflows
  • Direct ERP connectivity to Divalto Business, Divalto Field Service, and Divalto Industry via the Divalto marketplace
  • Per-user pricing at €40/month with profile-based access control (Standard, Sales, Technician, Full)

Weaknesses

  • No publicly documented API; integrations rely on Zapier with no native bulk export capability
  • Pricing is opaque for anything beyond the base per-user rate; options like the development studio require contacting sales
  • Scarce English-language documentation and limited third-party review coverage outside French-language sources
  • Fewer than 10 verified reviews across major review platforms makes peer assessment difficult
  • No free trial available, increasing commitment risk before full evaluation
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Moderate CRM migration. 4 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Divalto weavy and Pipedrive.

  • Object compatibility

    C

    4 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Divalto weavy: Not publicly documented.

  • Data volume sensitivity

    B

    Divalto weavy doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Divalto weavy to Pipedrive migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Divalto weavy to Pipedrive data migrations

Answers to the questions buyers ask most during Divalto weavy to Pipedrive migration scoping. Not seeing yours? Book a call.

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Simple migrations under 10,000 Contacts, 2,000 Deals, and no Development Studio custom objects typically complete in three to five weeks. The export coordination phase (waiting on Divalto vendor-assisted or manual CSV data delivery) is the main timeline variable that differs from standard CRM-to-CRM migrations. Migrations with multiple Development Studio custom objects, large activity histories, or complex multi-stage pipelines extend to seven to eleven weeks. We build in a two-week discovery buffer at the start to account for export dependency delays.

Adjacent paths

Related migrations to explore

Ready when you are

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