CRM migration
Field-level mapping, validation, and rollback between Pawa and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Pawa
Source
Salesforce Sales Cloud
Destination
Compatibility
9 of 12
objects map 1:1 between Pawa and Salesforce Sales Cloud.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Pawa to Salesforce is a migration from a mobile-first, offline-capable CRM with very limited API documentation to a platform with comprehensive REST and Bulk API access. Pawa stores Contact, Company, and Deal records with custom fields and tags, but does not publish a bulk export endpoint and does not expose attachment files via API. We begin every Pawa migration with a live API connection to enumerate the available schema before committing to scope. We preserve Company-to-Contact relationships by resolving the parent record ID at migration time, and we flag every attachment-bearing record so the customer can manually re-upload files post-migration. Workflows, automations, and any platform-specific field types do not migrate; we deliver a written map of these for the customer's admin to rebuild in Salesforce Flow.
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 Pawa 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.
Pawa
Contact
Salesforce Sales Cloud
Contact
1:1Pawa Contact records (name, phone, email, custom fields) map to Salesforce Contact. We map standard fields 1:1 where field names match. Custom fields on Pawa Contacts are discovered via API at scoping time; we create matching custom fields in Salesforce and flag any type mismatches (e.g., Pawa text fields that should become picklists or multi-select fields in Salesforce) for explicit customer review before import. The Pawa Contact-to-Company relationship is preserved as an AccountId lookup on the Contact record.
Pawa
Company
Salesforce Sales Cloud
Account
1:1Pawa Company records map to Salesforce Account. The Company name becomes Account Name, and any address fields map to the standard Account address fields (BillingStreet, BillingCity, BillingState, BillingPostalCode, BillingCountry). We use Company ID as an External ID to enable upsert semantics so that if the same Company appears in multiple Pawa exports, it is merged rather than duplicated in Salesforce.
Pawa
Company-to-Contact Relationship
Salesforce Sales Cloud
AccountId on Contact
1:1Pawa stores a Company ID on each Contact record. We resolve the Company ID to the Salesforce Account record created in the Account import phase, then write the resolved AccountId onto each Contact record during Contact import. This is a two-phase operation: Accounts must import first so that Contact import can reference them. Any Pawa Contact with an unresolvable Company ID is flagged to a reconciliation queue for manual review.
Pawa
Deal
Salesforce Sales Cloud
Opportunity
1:1Pawa Deal records map to Salesforce Opportunity. The deal value maps to Amount, the linked Contact ID maps to the Contact's Salesforce ID (resolved via the Contact mapping), and the deal stage maps to a Salesforce StageName that we configure as part of the destination schema setup. If Pawa supports multiple deal pipelines, each pipeline maps to a Salesforce Opportunity Record Type with a corresponding Sales Process to keep stage values scoped per line of business.
Pawa
Pipeline Stage
Salesforce Sales Cloud
Opportunity Stage
lossyPawa pipeline stages are discovered via API and mapped to Salesforce StageName values in a Sales Process that we configure before migration. Each Pawa stage gets a corresponding Salesforce stage with an explicit probability percentage. If Pawa stages include custom attributes (e.g., time-in-stage or weighted value), we create custom fields on Opportunity to carry those values.
Pawa
Custom Fields
Salesforce Sales Cloud
Custom Fields
1:1Pawa custom fields on Contacts and Companies are discovered via API during the live schema validation phase. We create matching Salesforce custom fields (with the __c suffix per Salesforce naming convention), assign the correct field type (Text, Picklist, Checkbox, Date, Number), and include the custom field in the field map delivered to the customer before import. Any Pawa custom fields that use field types not directly supported by Salesforce (e.g., a Pawa-specific geolocation type) are flagged with a transformation recommendation.
Pawa
Tag
Salesforce Sales Cloud
Custom Field (Multi-Select Picklist)
lossyPawa stores tags as flat string arrays on records. Tags do not have a native Salesforce equivalent; we map them to custom multi-select picklist fields on the relevant object (Contact, Account, or Opportunity). The customer chooses the target field name and which objects receive tags during scoping. If the number of unique tag values exceeds Salesforce's picklist value limit, we recommend using Salesforce Topics or a custom junction object instead.
Pawa
User
Salesforce Sales Cloud
User
1:1Pawa User records (name, email, role) map to Salesforce User. We resolve by email match against the destination org's User table. Inactive Pawa users are flagged and excluded from the active user migration unless the customer requests otherwise. Any Pawa User without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before record import resumes.
Pawa
User Role
Salesforce Sales Cloud
User Role
lossyPawa user roles are mapped to Salesforce User Roles during schema configuration. We create the Salesforce role hierarchy to mirror the Pawa role structure as closely as possible, or we document the delta for the customer's admin to finalize post-migration. Role hierarchy affects opportunity sharing rules and reporting visibility in Salesforce.
Pawa
Engagement: Task
Salesforce Sales Cloud
Task
1:1If Pawa exposes task records via API, they map to Salesforce Task with Status, Priority, Subject, and ActivityDate preserved. Task assignment migrates by resolving the Pawa user reference to the Salesforce OwnerId via the User mapping. Tasks are among the last objects imported because they typically reference both Contacts and Accounts.
Pawa
Engagement: Note
Salesforce Sales Cloud
Note
1:1If Pawa exposes note records via API, they map to Salesforce Note linked via ContentDocumentLink to the parent record (Contact, Account, or Opportunity). Note body migrates as rich text. We validate note content for any Salesforce validation rule violations (e.g., field-length limits) before insert and flag any violations to the customer.
Pawa
Attachment
Salesforce Sales Cloud
Not Migrated
1:1Pawa's API does not expose attachment files. We do not migrate attachments as part of the data migration. We flag all records that have attachments in Pawa and document the record IDs, object types, and attachment file names in the migration plan. The customer downloads these files manually before the migration window and re-uploads them post-migration to Salesforce ContentDocument records. Attachments are excluded from the record count used to scope migration timelines and pricing.
| Pawa | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Company-to-Contact Relationship | AccountId on Contact1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Pipeline Stage | Opportunity Stagelossy | Fully supported | |
| Custom Fields | Custom Fields1:1 | Mapping required | |
| Tag | Custom Field (Multi-Select Picklist)lossy | Fully supported | |
| User | User1:1 | Fully supported | |
| User Role | User Rolelossy | Fully supported | |
| Engagement: Task | Task1:1 | Fully supported | |
| Engagement: Note | Note1:1 | Fully supported | |
| Attachment | Not Migrated1:1 | 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.
Pawa gotchas
No publicly documented bulk data export endpoint
Attachment files are not exposed via API
Small review sample limits platform reliability assessment
Android preference may affect iOS user experience post-migration
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
API enumeration and live schema discovery
We request Pawa API credentials and enumerate available endpoints against the live system. Because Pawa lacks comprehensive public API documentation, we validate the actual field names, data types, and relationship fields by querying each endpoint. This produces a confirmed Pawa schema rather than relying on documentation that may be incomplete or outdated. We share this schema with the customer and use it to build the migration scope and field map before any records move.
Destination schema design and Salesforce configuration
We design the Salesforce destination schema based on the Pawa schema confirmed in Step 1. This includes creating custom fields to match Pawa custom fields, creating custom picklist value sets for Pawa tags, configuring Opportunity Record Types and Sales Processes to match Pawa pipeline stages, and setting up the User role hierarchy. Schema is deployed to a Salesforce Sandbox first for validation against the customer's approval.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox using production-like data volume. The customer's RevOps lead reconciles record counts (Accounts imported, Contacts imported, Opportunities imported, relationships preserved), spot-checks 25-50 random records against the Pawa source, and signs off the schema and mapping before production migration begins. Any mapping corrections happen in sandbox, not in production.
Owner reconciliation and User provisioning
We extract every distinct Pawa User referenced on Contact, Company, Deal, and engagement records and match by email against the Salesforce destination org's User table. Users without a matching Salesforce User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users before migration resumes. OwnerId references are required on most standard objects, so this step must complete before record import begins.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Pawa Companies), Contacts (with AccountId resolved), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Tasks and Notes via Bulk API 2.0 with parent-record lookup resolution. Each phase emits a row-count reconciliation report before the next phase begins. We use exponential backoff on Bulk API rate-limit responses and chunk large record sets to avoid timeouts.
Cutover, validation, and automation handoff
We freeze Pawa 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 migration completion report including record counts, relationship reconciliation, and a list of flagged records (attachments to re-upload manually, unresolved Owner references, records exceeding validation rules). We do not rebuild Pawa automations or workflows as Salesforce Flow inside the migration scope; we deliver a written inventory of any automation patterns discovered during schema discovery for the customer's admin to rebuild.
Platform deep dives
Pawa
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 5 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Pawa and Salesforce Sales Cloud.
Object compatibility
5 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
Pawa: Not publicly documented.
Data volume sensitivity
Pawa 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
FAQ
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