CRM migration

Migrate from Sellsy to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Sellsy and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Sellsy logo

Sellsy

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

75%

9 of 12

objects map 1:1 between Sellsy and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-7 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Sellsy to Salesforce Sales Cloud is a structural migration across a flat to relational data model. Sellsy bundles Individuals and Companies into a single Contact export with a type discriminator rather than separate objects, requiring pre-migration field-splitting before records can land in the correct Salesforce objects. Financial documents (Invoices, Orders, Credit Notes) migrate as first-class objects with SmartTags remapped to Salesforce Tags on each transaction type. Staff records resolve to Salesforce Users by email match, with any duplicate-name Staff flagged for manual disambiguation before export. Workflows, automations, document templates, and the SIRENE enrichment layer do not migrate; we deliver a written inventory of these for the customer's admin to rebuild in Salesforce Flow and Setup.

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

Sellsy logo

Sellsy

What's pushing teams away

  • Steep learning curve that requires roughly one week to become productive: reviewers consistently report Sellsy is not intuitive and the information architecture demands significant onboarding investment before teams can work efficiently.
  • Pricing opacity across public sources creates buying friction: Sellsy has been transitioning from modular to bundled pricing for years, leaving outdated numbers scattered across Capterra, G2, and its own site — confusing prospects and delaying sign-off.
  • Interface and UX lag behind newer CRM alternatives: reviewers note the design feels dated compared to platforms like Pipedrive, with imperfect ergonomics that create friction even for basic workflows after the initial learning period.
  • Document template and workflow setup takes 2–3 hours to configure properly: initial setup of custom fields, pipelines, and document templates is non-trivial, and basic configuration at go-live still requires deliberate configuration effort.

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 Sellsy objects map to Salesforce Sales Cloud

Each row shows how a Sellsy 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.

Sellsy

Contact (type=individual)

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Sellsy's Contact export bundles Individuals and Corporations in a single file with a type discriminator field. We split by the type attribute during pre-flight, routing type=individual to Salesforce Contact. Mobile phone, email, job title, and address fields map directly. We preserve any custom field values from the Sellsy custom-fields endpoint and map them to typed Salesforce custom fields on Contact.

Sellsy

Corporation

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Sellsy Corporation records map to Salesforce Account. The Corporation SIRENE number (when populated) maps to a custom Account field for regulatory cross-reference. We create Accounts before Contact imports so that the AccountId lookup is satisfied at Contact insert time. Account is also the parent of any related Credit Notes and Invoices.

Sellsy

Opportunity

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Sellsy Opportunities map to Salesforce Opportunity with owner_id, pipeline stage, amount, and expected close date preserved. The Sellsy pipeline becomes a Salesforce Record Type and Sales Process that we configure in the destination org before migration. Closed-Won and Closed-Lost reasons from Sellsy custom properties migrate to custom Opportunity fields.

Sellsy

Invoice

maps to

Salesforce Sales Cloud

Invoice (Financial Services Cloud) or Custom Invoice Object

lossy
Fully supported

Sellsy Invoices migrate to Salesforce Invoice (if Financial Services Cloud is licensed) or a custom Invoice object we create in the destination org. Line items, discounts, taxes, and SmartTags transfer as Salesforce Tags on the Invoice record. Invoice status (draft, sent, paid) maps to a custom status picklist. Invoice is created before any related Credit Note to preserve the linked-invoice reference.

Sellsy

Order

maps to

Salesforce Sales Cloud

Order

1:1
Fully supported

Sellsy Orders migrate to Salesforce Order with product-line details, quantities, and SmartTags preserved. Order status maps to Salesforce OrderStatus. If the destination org does not have Order Management enabled, we create a custom Order object with equivalent fields.

Sellsy

Credit Note

maps to

Salesforce Sales Cloud

CreditNote or Custom Credit Memo Object

1:1
Fully supported

Credit Notes (first-class API object in Sellsy v2.86.0) map to a custom Credit Memo object in Salesforce with the linked invoice reference preserved. Credit note amount and reason transfer as typed fields. SmartTags on Credit Notes migrate as Salesforce Tags on the Credit Memo record.

Sellsy

Staff

maps to

Salesforce Sales Cloud

User

1:1
Mapping required

Sellsy Staff records map to Salesforce User by email match. We extract every distinct staff_id and email from Sellsy Staff records and cross-reference against the destination Salesforce org's User table. Owners without a matching User go to a reconciliation queue for the admin to provision. Any duplicate staff names (same first and last name, different email) are flagged during pre-flight because Sellsy CSV exports do not deduplicate owner names.

Sellsy

Task

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Sellsy Tasks migrate to Salesforce Task with Status, Priority, ActivityDate, and assignee link preserved. Task assignment resolves via the Staff-to-User email lookup before migration.

Sellsy

Activity (appointment, call, logged interaction)

maps to

Salesforce Sales Cloud

Task and Event

1:1
Fully supported

Sellsy Activities (appointments, calls, logged interactions tracked against contacts and opportunities) map to Salesforce Task and Event records. Calls migrate as Task with TaskSubtype=Call. Appointments migrate as Event with StartDateTime, EndDateTime, and Location preserved. Activity timestamps preserve the activity timeline ordering in Salesforce.

Sellsy

Product (catalog entry)

maps to

Salesforce Sales Cloud

Product2

1:1
Fully supported

Sellsy product catalog entries map to Salesforce Product2 with Standard Price Book entries created during import. ProductCode and pricing matrices transfer from the Sellsy catalog API.

Sellsy

SmartTags

maps to

Salesforce Sales Cloud

Tag

lossy
Mapping required

Sellsy SmartTags are per-transaction labels on Invoices, Orders, and Credit Notes. We remap SmartTags as Salesforce Tags attached to the respective transaction records. Where the destination Salesforce org does not have Tags enabled for that object type, we create a custom multi-select picklist field on the transaction object to hold the original SmartTag values.

Sellsy

Custom Fields

maps to

Salesforce Sales Cloud

Custom Fields

lossy
Mapping required

Sellsy custom fields on Invoices, Contacts, and Corporations migrate to typed Salesforce custom fields on the corresponding objects. We inspect the custom field schema via the Sellsy GET+PUT /custom-fields endpoints before migration and pre-create the Salesforce custom field schema in a Sandbox org for validation before production deployment.

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.

Sellsy logo

Sellsy gotchas

High

Owner name uniqueness required in CSV exports

Medium

Pricing numbers scattered across modular and bundled models

Medium

SmartTags are a tagging layer, not a structured object

Medium

Public API rate limits not documented

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

  • Sellsy bundles Individuals and Corporations in one Contact export

    Sellsy's Contact export file contains both Individuals and Corporations with a type discriminator field rather than separate export files. We split the export by the type attribute during pre-flight, routing type=individual to Salesforce Contact and type=corporation to a staging table for Account creation. Migrations that skip this step land all records as Contacts, creating duplicate Accounts and orphaned Contacts with no AccountId. We run the split as the first transform step before any Salesforce import.

  • Duplicate owner names silently collapse to one assignee

    Sellsy's CSV export for contacts does not deduplicate owner names. If multiple staff members share the same full name, the import process in downstream systems uses the first match only, silently assigning all affected records to one person. We detect duplicate owner names during pre-flight and ask the customer to either disambiguate in Sellsy before export or provide a unique identifier field. Failure to handle this results in owner assignment silently defaulting to one person across all affected records.

  • Financial documents must load before activity records

    Sellsy Invoices, Orders, and Credit Notes carry SmartTags and financial line items that may reference Products. We sequence these transaction records before activity logs (Tasks, Events) to preserve account balance integrity in Salesforce. Loading activities before financial documents can result in Salesforce validation errors on Opportunity Amount or Account Credit Limit fields that reference the not-yet-loaded documents.

  • SmartTags have no direct Salesforce equivalent

    SmartTags in Sellsy function as per-transaction labels rather than a relational object. Salesforce has no native per-transaction tagging system across Invoice, Order, and Credit Note objects by default. We remap SmartTags to Salesforce Tags on the respective transaction records where Tags are enabled, or to a custom multi-select picklist field where they are not. The customer chooses the strategy during scoping, and we document it in the migration spec.

  • Sellsy API rate limits are undocumented

    The Sellsy API reference at docs.sellsy.com does not publish rate limit thresholds. During bulk exports, we implement adaptive throttling starting at a conservative request cadence and backing off on 429 responses. We log any throttling events to flag whether the customer's account appears to have a lower effective limit than the standard tier. Salesforce Bulk API 2.0 limits are documented at 150,000 batches per 24-hour rolling window with configurable chunk sizes, which we manage separately during import.

Migration approach

Six steps for a successful Sellsy to Salesforce Sales Cloud data migration

  1. Discovery and scoping

    We audit the Sellsy portal for record counts across Contact, Corporation, Opportunity, Invoice, Order, Credit Note, Staff, Task, Activity, and Product objects. We identify custom field schemas via the /custom-fields endpoints, active SmartTag values on financial documents, and any duplicate owner names in Staff exports. We pair this with a Salesforce edition review: Professional ($175/user) covers most custom-object-free migrations; Enterprise adds advanced Flow, reporting, and territory management. The discovery output is a written migration scope, a custom field mapping table, and a Salesforce edition recommendation.

  2. Schema design in Salesforce Sandbox

    We deploy the destination schema to a Salesforce Sandbox (Full Copy) before any production migration. This includes provisioning custom objects, custom fields (typed to match Sellsy field types), Opportunity Record Types and Sales Processes (one per Sellsy pipeline), Page Layouts, and the Account-Contact relationship model. We pre-create any custom Invoice or Credit Memo objects if Financial Services Cloud is not licensed. All schema is validated in Sandbox before production.

  3. Contact-Corporation split and owner reconciliation

    We split the Sellsy Contact export by type discriminator, routing Individuals to the Contact staging table and Corporations to the Account staging table. We run the duplicate owner name check and escalate any ambiguous names to the customer before export. We match Sellsy Staff by email against the Salesforce destination User table and flag any Staff without a matching User for the admin to provision. Migration cannot proceed past this step because AccountId and OwnerId references are required on most standard objects.

  4. Sandbox migration and reconciliation

    We run a full migration into the Salesforce Sandbox using production-like data volume. The customer's RevOps lead reconciles record counts (Accounts in, Contacts in, Opportunities in, Invoices in, Orders in, Credit Notes in, Activities in), spot-checks 25-50 random records against the Sellsy source, and signs off the schema and mapping before production migration begins. Any mapping corrections happen in Sandbox, not in production.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Sellsy Corporations), Contacts (with AccountId resolved), Users (validated by admin), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Products and Pricebook entries, Orders, Invoices (with Tags from SmartTags), Credit Notes (with linked invoice references resolved), then Activity history (Tasks, Events via Bulk API 2.0). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and handoff documentation

    We freeze Sellsy writes 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 the Workflow, Automation, and Document Template inventory document to the customer's admin team with recommended Salesforce equivalents. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Sellsy automations as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

Sellsy logo

Sellsy

Source

Strengths

  • Comprehensive feature stack covering CRM, invoicing, pre-accounting, and marketing in a single subscription.
  • Native GDPR compliance and French market features including SIRENE directory enrichment.
  • Competitive pricing for very small to mid-sized French businesses compared to international alternatives.
  • Integrated electronic document signing reduces the need for third-party document workflow tools.
  • Automation of routine billing and proposal workflows reduces manual administrative overhead.

Weaknesses

  • Steep learning curve with a one-week ramp-up period reported by multiple reviewers.
  • Interface and UX design feel dated compared to modern CRM alternatives like Pipedrive.
  • Pricing structure has been in transition from modular to bundled, creating confusion across public sources.
  • Limited API documentation and undocumented public rate limits complicate programmatic integrations.
  • Owner name uniqueness requirement in CSV exports can block bulk imports with duplicate owners.
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 Sellsy 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

    Sellsy: Not publicly documented.

  • Data volume sensitivity

    A

    Sellsy exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Sellsy 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 Sellsy to Salesforce Sales Cloud data migrations

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

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Most migrations land between four and seven weeks for accounts under 20,000 Contacts, 3,000 Companies, and 2,000 Deals with no custom objects. Migrations with large Invoice histories (over 10,000 documents), Credit Note carry-forwards, custom objects, or multi-pipeline Deal structures move to ten to sixteen weeks because of financial document sequencing, SmartTag remapping, and schema validation in a Salesforce Sandbox.

Adjacent paths

Related migrations to explore

Ready when you are

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