CRM migration
Field-level mapping, validation, and rollback between Divalto weavy and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Divalto weavy
Source
Salesforce Sales Cloud
Destination
Compatibility
10 of 12
objects map 1:1 between Divalto weavy and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from Divalto weavy to Salesforce Sales Cloud begins with a structural constraint: Divalto weavy does not publish a public REST API, so direct API-based read and write operations are not possible. We work around this by coordinating full data exports from the Divalto vendor portal or manual CSV exports from within the platform, then transforming and loading into Salesforce via Bulk API 2.0 with batch chunking and exponential backoff. Organizations with custom objects built in the Development Studio require a pre-migration schema audit because no schema registry or custom field export is documented; we manually catalogue every custom object and field before applying explicit field-level mapping rules. Route and itinerary data tied to the mobile workforce has no Salesforce equivalent and is flagged for manual export as a standalone deliverable. We do not migrate Workflows, Zapier automations, or field-service scheduling logic as code; we deliver a written inventory of these for the customer's admin to rebuild in Salesforce Flow or a field-service add-on.
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 Salesforce Sales Cloud, 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
Salesforce Sales Cloud
Account
1:1Divalto weavy Company records store the business entity, billing and shipping address, industry classification, and revenue range used by both sales and field technicians. We map Company Name to Account Name, the Divalto address fields to BillingAddress and ShippingAddress composites, and industry to Industry picklist. Account is the first object imported because all Contact records require an AccountId Lookup reference to satisfy Salesforce's referential integrity requirements before insert.
Divalto weavy
Contact
Salesforce Sales Cloud
Contact
1:1Divalto weavy Contact records carry standard fields (name, email, phone, title, department) plus any custom properties created in the Development Studio. We map all standard fields, flag every custom field for explicit type mapping (text, picklist, number, date, lookup), and preserve any custom field values against the mapped Contact. Custom field schema must be pre-created in Salesforce before Contact import so that no custom field data is silently dropped.
Divalto weavy
Lead
Salesforce Sales Cloud
Lead
1:1Divalto weavy supports a suspect-to-prospect-to-client lifecycle tracked through lead status fields. We map the lead status, lead source, and rating fields directly to Salesforce Lead fields. If the customer uses the prospect-to-client conversion path, we map converted prospects to Salesforce Contact with the original lead source preserved in a custom field for attribution reporting.
Divalto weavy
Deal
Salesforce Sales Cloud
Opportunity
1:1Divalto weavy Deals represent revenue-generating opportunities tied to pipeline stages. We map Deal Name to Opportunity Name, Deal Value to Amount, Expected Close Date to CloseDate, Stage to StageName, and Owner to OwnerId. Stage mappings are configurable per organization; we extract the full stage list during discovery and map each stage to a Salesforce Opportunity Stage with the correct probability percentage.
Divalto weavy
Pipeline Stage
Salesforce Sales Cloud
Opportunity Stage
lossyDivalto weavy pipeline stages are configurable per organization with no standard stage name registry. We extract the complete stage list during discovery, map each stage to a Salesforce Opportunity Stage, and configure stage probability percentages. If the customer uses multiple Divalto pipelines, we create corresponding Salesforce Record Types on Opportunity with separate Sales Processes to keep stage values scoped per line of business.
Divalto weavy
Activity (Call, Meeting, Task)
Salesforce Sales Cloud
Task, Event
1:1Divalto weavy Activities capture calls, meetings, and action items logged against contacts or deals. We map activity type to TaskSubtype (Call for calls, null for general tasks), activity date to ActivityDate, description to Subject and Description, and linked owner to OwnerId. Meetings map to Salesforce Event with StartDateTime, EndDateTime, and Location preserved. Each activity record carries a WhoId (Contact or Lead) and WhatId (Opportunity or Account) reference that we resolve at migration time via parent-record lookup.
Divalto weavy
User / Team Member
Salesforce Sales Cloud
User
1:1Divalto weavy assigns user profiles (Standard, Sales, Technician, Full) that determine feature access. We extract every distinct user referenced on Contact, Company, Deal, and Activity records and match by email against the destination Salesforce org's User table. We preserve the original Divalto profile assignment in a custom field divalto_profile__c on the mapped User record so the customer's admin can cross-reference during the transition period.
Divalto weavy
Custom Object (Development Studio)
Salesforce Sales Cloud
Custom Object
1:1The Development Studio allows organizations to create custom CRM objects and custom fields with no documented schema export. We identify all custom object definitions during a pre-migration schema audit by requesting screen-shared access to the Development Studio environment, manually cataloguing every object name, field name, field type, and lookup relationship. We then pre-create the destination Salesforce custom object and all custom fields using the Metadata API before any data import. Custom object API names receive the standard __c suffix per Salesforce convention.
Divalto weavy
Attachment
Salesforce Sales Cloud
ContentDocument / Attachment
1:1Document attachments linked to companies, contacts, and deals in Divalto weavy are extracted as binary files and mapped to Salesforce ContentDocument records linked via ContentDocumentLink to the parent Account, Contact, or Opportunity. We preserve the original filename and file extension, and map the created date to the Salesforce ContentVersion FirstPublishLocationId. Attachments stored as Salesforce Attachment objects are used as a fallback for smaller files.
Divalto weavy
Lead Status / Lifecycle Stage
Salesforce Sales Cloud
Lead Status
lossyDivalto weavy's suspect-to-prospect-to-client lifecycle uses custom status values that vary per tenant. We extract the full lead status picklist during discovery and map each value to a Salesforce Lead Status value that is included in the customer's lead conversion process. Status labels that have no Salesforce equivalent are mapped to a custom Lead Status picklist that the customer's admin finalizes before production migration.
Divalto weavy
Opportunity Line Item
Salesforce Sales Cloud
OpportunityLineItem
1:1If Divalto weavy records line items or product associations against Deals, we map them to Salesforce OpportunityLineItem. We resolve the Pricebook2 reference, the Product2 reference, and the parent Opportunity at migration time. Quantity, unit price, and discount percentage migrate directly. Pricebook entries are created during the product migration phase before line items are inserted.
Divalto weavy
Route / Itinerary Data
Salesforce Sales Cloud
None (manual export)
1:1Divalto weavy's route planning and geocoding data are mobile-first features specific to the field workforce management use case. Salesforce Sales Cloud has no native route object, and the Field Service add-on ($50/user/mo) manages work orders and service scheduling rather than sales route optimization. We flag this gap during scoping and offer a manual export workflow as an optional add-on, but route and itinerary data is excluded from the standard migration package. The customer decides whether to export this as a standalone report before cutover.
| Divalto weavy | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Company | Account1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Lead | Lead1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| Activity (Call, Meeting, Task) | Task, Event1:1 | Fully supported | |
| User / Team Member | User1:1 | Fully supported | |
| Custom Object (Development Studio) | Custom Object1:1 | Fully supported | |
| Attachment | ContentDocument / Attachment1:1 | Fully supported | |
| Lead Status / Lifecycle Stage | Lead Statuslossy | Fully supported | |
| Opportunity Line Item | OpportunityLineItem1:1 | Fully supported | |
| Route / Itinerary Data | None (manual export)1:1 | 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.
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
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Export coordination and discovery audit
We kick off by coordinating the Divalto weavy data export with the customer's Divalto administrator. Because no public API exists, we request a full vendor-portal export or schedule a guided manual CSV export from within the platform. In parallel, we audit the Divalto weavy environment for object count, record volume per object, active user count, pipeline stage configuration, and any Development Studio customizations. This audit identifies the export scope and flags any objects that require non-standard handling before we design the destination schema in Salesforce.
Schema design and custom object pre-creation
We design the destination schema in Salesforce. This includes provisioning standard objects (Account, Contact, Lead, Opportunity, Task, Event, ContentDocument), creating any custom objects to match Development Studio definitions, adding custom fields with type-mapped Salesforce field types, and configuring Record Types and Sales Processes for each Divalto pipeline. Schema is deployed via Salesforce Metadata API into a Sandbox org first for validation. We resolve the lead status picklist values and map pipeline stages to Opportunity Stage during this step.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-like data volume. The customer's RevOps or Divalto administrator reconciles record counts (Accounts in, Contacts in, Leads in, Opportunities in, Activities in), spot-checks 25-50 random records against the source export, and signs off the schema and mapping before production migration begins. Any mapping corrections, custom field additions, or validation rule adjustments happen here, not in production.
Owner reconciliation and user provisioning
We extract every distinct Divalto user referenced on Contact, Company, Opportunity, and Activity records and match by email against the destination Salesforce org's User table. Owners without a matching Salesforce User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users. Migration cannot proceed past this step because OwnerId references are required on Opportunity and Task records. We preserve the original Divalto user profile (Standard, Sales, Technician, Full) in a custom field on the Salesforce User record.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Divalto Companies), Contacts (with AccountId resolved), Leads (with status mapped), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Activities (Tasks and Events via Bulk API 2.0 with parent-record WhoId and WhatId lookup), Custom Objects (last, because they often have lookups to standard objects), and Attachments (ContentDocument with ContentDocumentLink to parent records). Each phase emits a row-count reconciliation report before the next phase begins. We use exponential backoff on Bulk API rate limit responses.
Cutover, delta sync, and automation inventory handoff
We freeze writes in Divalto weavy during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver a written inventory of every Divalto Zapier automation and Development Studio workflow with its trigger, conditions, and actions, plus a recommended Salesforce Flow equivalent. We do not rebuild automations as code inside the migration scope. We support a one-week hypercare window where we resolve reconciliation issues raised by the sales team.
Platform deep dives
Divalto weavy
Source
Strengths
Weaknesses
Salesforce Sales Cloud
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 Divalto weavy and Salesforce Sales Cloud.
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
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.
Step 1
Pick a category, then your source and destination platforms.
Category
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