CRM migration

Migrate from Attio to Salesforce Sales Cloud

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

Attio logo

Attio

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

77%

10 of 13

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

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Attio to Salesforce Sales Cloud is a schema-translation migration. Attio's flexible object model treats records as rows across configurable tables, while Salesforce enforces a fixed Account-Contact-Opportunity hierarchy with a separate Lead object for unqualified prospects. We resolve that structural split during scoping, reconstruct relationship chains that Attio's flat CSV exports discard, and validate that the destination Salesforce plan supports the full object count before migration begins. We migrate People (split by lifecycle), Companies (1:1 to Account), Deals (1:1 to Opportunity with stage mapping), Custom Objects, Notes, Tasks, and engagement history via the Bulk API 2.0. Attio Lists become segmentation logic in Salesforce; we do not migrate Attio Workflows, Sequences, or automations as code and instead deliver a written inventory for the customer's admin to rebuild in Salesforce Flow.

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

Attio logo

Attio

What's pushing teams away

  • The data model flexibility requires significant upfront configuration time, and sales teams without technical resources struggle to build a useful workspace from scratch.
  • Reporting features lack depth—users cite weak pipeline analytics, missing date-based segmentation, and limited data visualization as ongoing frustrations.
  • Native integrations are limited; syncing with tools like Aircall and HubSpot requires workarounds or third-party sync platforms, breaking GTM stack cohesion.
  • The workspace credit model creates unpredictable monthly costs—AI enrichment and automation steps consume credits faster than teams anticipate on Plus plans.
  • Teams cite a steep learning curve where the flexibility that attracts technical founders becomes a burden for adoption across sales, marketing, and CS teams.

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 Attio objects map to Salesforce Sales Cloud

Each row shows how a Attio 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.

Attio

People

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Attio People with no associated Deal or Company relationship, or with lifecycle_status set to unqualified, map to Salesforce Lead. People linked to Deals or Companies map to Salesforce Contact attached to the corresponding Account. We compute the split using Attio's relationship attributes and lifecycle_status at migration time, and preserve the original lifecycle_status in a custom field attio_lifecycle_stage__c on both Lead and Contact for audit and reporting continuity.

Attio

Companies

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Attio Company records map 1:1 to Salesforce Account. The company domain becomes the Account Website field and serves as the dedupe key during import. Account is created before any Contact import so the AccountId Lookup is satisfied at the moment of Contact insert, preventing orphaned Contact records.

Attio

Deals

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Attio Deal records map 1:1 to Salesforce Opportunity. The Attio deal pipeline and stage attributes map to a Salesforce Record Type and Sales Process we configure before migration. Closed-Won and Closed-Lost reason attributes from Attio become Salesforce Loss Reason and custom Win Reason fields. We set CloseDate from the Attio expected_close_date attribute, defaulting to 30 days if the field is null.

Attio

Relationship Attributes (Deal → Company)

maps to

Salesforce Sales Cloud

Opportunity AccountId Lookup

1:1
Fully supported

Attio relationship attributes encode foreign-key links (e.g., a Deal linked to a Company). CSV exports flatten these links. We query relationship attributes via the Attio API to reconstruct the Deal-to-Company chain before migration, then write the resolved AccountId to the Opportunity during import. Without this step, Opportunities arrive orphaned from Accounts.

Attio

Relationship Attributes (Deal → People)

maps to

Salesforce Sales Cloud

OpportunityContactRole

1:1
Fully supported

Attio Deals linked to multiple People records use relationship attributes to define a many-to-many chain. We resolve each linked Person to a Salesforce Contact via the Lead-Contact split, then create OpportunityContactRole junction records during migration to preserve the deal-to-contact association. Null Contact references (unresolved People) are held in a reconciliation queue.

Attio

Custom Objects

maps to

Salesforce Sales Cloud

Custom Object (__c)

1:1
Mapping required

Attio custom objects (Gated: Free 3, Plus 5, Pro 12, Enterprise unlimited) migrate to Salesforce custom objects of matching API name with __c suffix. We pre-create the destination schema in Salesforce before any data import, including all custom fields, picklist values, and lookup relationships. If the source workspace uses more custom objects than the destination Salesforce plan supports, we flag the excess during scoping and either recommend a Salesforce edition upgrade or consolidate objects.

Attio

Custom Object Relationships

maps to

Salesforce Sales Cloud

Custom Object Lookup fields

1:1
Fully supported

Attio relationship attributes between two custom objects map to Salesforce custom Lookup fields on the child object. We resolve the parent custom object record ID via the Attio API before writing the foreign key. Cross-object relationships spanning more than two hops require multi-pass import sequencing to ensure parent records exist before children are inserted.

Attio

Notes

maps to

Salesforce Sales Cloud

Note

1:1
Fully supported

Attio Notes are first-class API objects with timestamps and author attribution. They migrate to Salesforce Note records linked via ContentDocumentLink to the parent record (Lead, Contact, Account, or Opportunity). Rich text formatting is preserved as Salesforce-compatible HTML. Note body and created-at timestamps migrate directly.

Attio

Tasks

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

Attio Tasks attach to records and have assignee, due date, and status attributes. We map assignee by email to Salesforce User records via the Owner reconciliation step, then write Task with OwnerId, Status, Priority, and ActivityDate preserved. Tasks attached to Attio custom objects migrate as Salesforce Tasks linked via WhatId to the custom object record.

Attio

Lists

maps to

Salesforce Sales Cloud

Campaign + CampaignMember or Static List

lossy
Mapping required

Attio Lists are workflow-context collections of record entries, not standalone records. We extract list memberships during scoping, map each Attio List to a Salesforce Campaign (for behavioral or segmentation lists) or a static List View, and create CampaignMember records linking the constituent Leads or Contacts. The customer's admin chooses the strategy during scoping.

Attio

User (Owner assignments)

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Attio workspace Users can be enabled as objects with owner assignments across records. We resolve Attio owner references by email match against the destination Salesforce org's User table. Any Attio Owner without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before record import resumes. OwnerId is a required reference on most standard object inserts.

Attio

Activities (Email + Calendar sync from People/Companies)

maps to

Salesforce Sales Cloud

EmailMessage + Task + Event

1:1
Fully supported

Attio's automatic email and calendar sync covers People and Company records only. Email history migrates to Salesforce EmailMessage records linked to the resolved Contact or Lead; calendar events migrate to Salesforce Event with StartDateTime, EndDateTime, and Location preserved. Attende mappings create EventRelation records. Activity records are loaded via Salesforce Bulk API 2.0 with batch chunking and parent-record lookup resolution.

Attio

Activities on Custom Objects

maps to

Salesforce Sales Cloud

Not migrated (data loss risk)

lossy
Fully supported

Attio email and calendar sync does not attach to custom object records such as Subscriptions, Projects, or Partnerships. Any activity history scoped to custom object records cannot be imported directly and is not recoverable via API. We flag this as a data-loss risk during scoping and recommend documenting the affected records manually before migration cutover. Notes attached to custom objects do migrate; automatic activity history does not.

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.

Attio logo

Attio gotchas

High

CSV exports flatten relationship chains

Medium

Credit consumption burns budget faster than seat price suggests

Medium

Custom objects gated by plan tier during migration

Low

Email sync only for People and Company records

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

  • CSV exports flatten relationship attribute chains

    Attio's workspace export produces flat CSV files per object. Relationship attributes (which Company a Deal belongs to, which People are linked to a Deal, which custom object is a parent to another) do not export as join keys. We handle this by querying relationship attributes directly via the Attio API to reconstruct the full parent-child chain before writing any records to Salesforce. Without this step, Deals arrive orphaned from their Companies, Opportunities lack Contact roles, and custom object hierarchies are severed. This is a pair-specific risk because Salesforce's foreign-key model makes orphan records immediately visible as broken Lookups.

  • Custom object count may exceed Salesforce plan capacity

    Attio plans gate total object count (3 on Free, 5 on Plus, 12 on Pro, unlimited on Enterprise). If the source workspace has more custom objects than the destination Salesforce plan supports, migration fails on object creation. Salesforce Professional ($80/user) provides unlimited custom objects. We audit the source object count during scoping, map it against the destination plan, and flag a Salesforce edition upgrade recommendation before migration begins. This is pair-specific because Attio's object model encourages more custom objects than traditional CRMs, making the ceiling more likely to bind.

  • Email and calendar sync does not cover custom object records

    Attio's automatic email and calendar sync only attaches to People and Company records. Custom object records—Subscriptions, Projects, Partnerships, Investors—cannot receive activity history imports via Attio's sync or API. We flag this during scoping and note it in the data loss disclosure. Notes attached to custom objects do migrate; automatic engagement history does not. Salesforce Activity records created from this gap cannot be backfilled post-migration from Attio's side.

  • Attio Lists are not records and have no direct Salesforce equivalent

    Attio Lists are dynamic or static collections of record IDs scoped to a workflow context, not standalone records with timestamps or ownership. There is no 1:1 migration to a single Salesforce object. We extract list memberships and reconstruct them as Salesforce Campaign members (for behavioral segmentation) or static List Views (for team-facing segmentation), but the original list creation date and owner attribution do not carry over. The customer's admin chooses the reconstruction strategy during scoping.

  • Credit-gated objects require plan audit before migration

    Attio's plan tiers gate object creation, email sync, and workspace credits. Plus plans include 1,500 credits/month consumed by AI enrichment and automation steps. If the source workspace is on a lower plan during migration scoping, some features may not be available via API even if the data exists. We validate the source plan tier and credit balance during discovery and flag any API-gated exports that require a plan upgrade or credit pack purchase before export begins.

Migration approach

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

  1. Discovery and plan audit

    We audit the source Attio workspace across plan tier (Free/Plus/Pro/Enterprise), total object count, custom object names and attribute types, relationship attribute chains, People lifecycle status distribution, active Deals with stage values, Notes volume, Tasks, and engagement history. We validate the workspace credit balance and flag any API-gated exports that require plan upgrades. We pair this with a Salesforce edition assessment: Professional ($80/user) covers most migrations; Enterprise ($165/user) is required for advanced Flow, multi-org, or territory management. Discovery output is a written migration scope with object inventory, plan comparison, and a Salesforce edition recommendation.

  2. Relationship chain reconstruction via API

    We query Attio's relationship attributes via the API for every object pair that has cross-references (Deal → Company, Deal → People, custom object → custom object). We build a relationship index that maps each Attio record ID to its parent and child record IDs. This index is the critical input to the Salesforce import step; without it, CSV exports alone produce orphaned records in Salesforce's Lookup-heavy model. We validate the relationship chain completeness and flag any records with broken references before the first Salesforce insert.

  3. Salesforce schema design and tier validation

    We design the destination Salesforce schema: custom objects (with __c API names matched to Attio names), custom fields, Record Types per Attio pipeline, Sales Processes per Record Type, Page Layouts, and the Lead-Contact split rule based on the customer's Attio lifecycle_status distribution. We validate that the destination Salesforce plan supports the full object count and custom field count before schema deployment. Schema is deployed into a Salesforce Sandbox first for validation; production deployment follows after sign-off.

  4. 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 lead reconciles record counts across all objects, spot-checks 25-50 random records against the Attio source for field-level accuracy, and verifies that relationship chains are intact (e.g., Opportunities have AccountIds, Contacts have AccountIds, Deal-to-Contact roles are present). Any mapping corrections happen in the sandbox, not in production. Owner reconciliation also completes here with admin provisioning missing Users.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Attio Companies), Leads and Contacts (with lifecycle split applied and AccountId resolved), Opportunities (with AccountId, OwnerId, RecordTypeId, and CloseDate resolved), Products and Pricebook entries (if migrating quoting), OpportunityLineItems, Notes (via ContentDocumentLink), Tasks, Activity history (EmailMessage, Task with subtype, Event via Bulk API 2.0), Custom Objects (with custom field lookups resolved from the relationship index), and Campaign members (from Attio Lists). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, delta sync, and handoff documentation

    We freeze writes in Attio during cutover, run a final delta migration of any records created or modified during the migration window, then enable Salesforce as the system of record. We deliver a written inventory of every Attio Workflow and Sequence with its trigger, conditions, and recommended Salesforce Flow equivalent. We support a one-week hypercare window for reconciliation issues. We do not rebuild Attio Workflows or Sequences as Salesforce Flow within the migration scope; that is a separate engagement or an internal admin task. We do not migrate Attio Forms; Salesforce Web-to-Lead or Experience Cloud forms are the recommended replacement.

Platform deep dives

Context on both ends of the pair

Attio logo

Attio

Source

Strengths

  • Flexible object schema allows modeling any business entity, not just contacts and deals.
  • Permanent free tier with 50k records and 3 users for evaluation without a countdown timer.
  • Automatic email and calendar sync builds interaction history without manual data entry.
  • Workspace export to CSV covers all objects for backup and migration scoping.
  • Clean API-first architecture with webhooks and OAuth 2.0 for developer integrations.

Weaknesses

  • Reporting and analytics lack depth compared to established CRM platforms.
  • Integration library is thin—native connections to common GTM tools are limited or missing.
  • Credit consumption model makes monthly costs unpredictable for automation-heavy teams.
  • Learning curve is steep for non-technical users who expect a pre-built CRM experience.
  • Feature gates push growing teams to Pro ($69/user/mo) sooner than expected.
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. 1 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 Attio and Salesforce Sales Cloud.

  • Object compatibility

    B

    1 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

    Attio: 100 requests/sec for reads, 25 requests/sec for writes; sliding window algorithm with 10-second window. 429 responses include a Retry-After header.

  • Data volume sensitivity

    A

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

Estimator

Estimate your Attio 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 Attio to Salesforce Sales Cloud data migrations

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

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Most migrations land between four and six weeks for accounts under 20,000 People, 8,000 Deals, and fewer than five custom objects with clean relationship chains. Migrations with custom objects, multi-hop relationship graphs, large activity histories (over 300,000 records), or Salesforce edition upgrades driven by object-count analysis move to eight to fourteen weeks. Relationship chain reconstruction via the Attio API and Salesforce Bulk API chunking for activity history are the primary timeline drivers.

Adjacent paths

Related migrations to explore

Ready when you are

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