CRM migration

Migrate from Divalto weavy to Salesforce Sales Cloud

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 logo

Divalto weavy

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

83%

10 of 12

objects map 1:1 between Divalto weavy and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How Divalto weavy objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Divalto 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

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Divalto 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

maps to

Salesforce Sales Cloud

Lead

1:1
Fully supported

Divalto 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

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Divalto 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

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Divalto 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)

maps to

Salesforce Sales Cloud

Task, Event

1:1
Fully supported

Divalto 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

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Divalto 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)

maps to

Salesforce Sales Cloud

Custom Object

1:1
Fully supported

The 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

maps to

Salesforce Sales Cloud

ContentDocument / Attachment

1:1
Fully supported

Document 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

maps to

Salesforce Sales Cloud

Lead Status

lossy
Fully supported

Divalto 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

maps to

Salesforce Sales Cloud

OpportunityLineItem

1:1
Fully supported

If 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

maps to

Salesforce Sales Cloud

None (manual export)

1:1
Fully supported

Divalto 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.

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

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • No public API requires vendor-coordinated export

    Divalto weavy does not publish a public REST API reference. We cannot perform direct API-based reads or writes against the platform. We work around this by requesting a full data export from the Divalto vendor portal or by coordinating manual CSV exports from within the platform with the customer's Divalto administrator. This adds steps and dependencies on vendor responsiveness during the migration project. We recommend scheduling the export request at project kickoff to avoid blocking the migration timeline.

  • Development Studio customizations require manual schema audit

    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 mechanism for custom field definitions. We handle this by running a pre-migration schema audit via screen-shared access to the Development Studio, manually cataloguing every custom object name, field name, field type, and lookup relationship before any destination schema is created. Skipping this audit results in silent data loss when unmapped custom fields are not present in Salesforce.

  • Route and itinerary data has no Salesforce equivalent

    Divalto weavy's route optimization and itinerary data are designed for mobile field workers and have no standard equivalent in Salesforce Sales Cloud. The Field Service Lightning add-on ($50/user/mo) manages service appointments and work orders, not sales route planning. If route data is critical to the customer's business, it must be exported as a standalone report before cutover. We do not include route data in the standard migration package.

  • Salesforce field-level security and validation rules can block import

    Salesforce orgs commonly enforce validation rules (required formats, conditional requireds, picklist whitelists) and field-level security that must be explicitly bypassed during data load. We coordinate with the customer's Salesforce admin to grant the migration user the Bulk API permission set and Modify All Data access, and we either temporarily disable blocking validation rules during load or extend them with a migration-context check. Without this step, 5-30 percent of records may be rejected on the first import attempt.

  • Per-user pricing on Divalto weavy compounds with headcount

    Divalto weavy is priced at €40 per user per month for the base Standard profile, with higher tiers requiring a sales conversation. Every additional salesperson, technician, or admin adds to the monthly bill. When migrating large teams, the cost compounds quickly. We scope the exact user count during discovery and present the per-user cost curve alongside Salesforce's tiered pricing so customers can model the full cost of ownership. The €40 base rate appears modest but add-ons for geocoding, development studio, and route optimization require separate pricing conversations, making total cost opaque until a vendor quote is requested.

Migration approach

Six steps for a successful Divalto weavy to Salesforce Sales Cloud data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

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
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Divalto weavy and Salesforce Sales Cloud.

  • Object compatibility

    B

    3 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 Salesforce Sales Cloud 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 Salesforce Sales Cloud data migrations

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

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Most migrations land between four and eight weeks for accounts under 20,000 Contacts and 5,000 Deals with no Development Studio customizations. Migrations with multiple custom objects, large activity histories (over 300,000 records), complex owner reconciliation, or multi-currency deal structures move to ten to sixteen weeks because of manual export coordination, schema audit scope, and Bulk API time. The export coordination phase with Divalto vendor support adds one to two weeks to the discovery phase that is unique to this source platform.

Adjacent paths

Related migrations to explore

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