CRM migration
Field-level mapping, validation, and rollback between Pawa and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Pawa
Source
Freshsales
Destination
Compatibility
5 of 8
objects map 1:1 between Pawa and Freshsales.
Complexity
CModerate
Timeline
1-2 weeks
Overview
Moving from Pawa to Freshsales is a structural migration from a mobile-first offline field CRM to a web-native AI-powered CRM. Pawa stores customer and business data with an emphasis on offline mobile access, but its limited public API documentation and absence of a documented bulk export endpoint require live-schema validation before migration scope is confirmed. We sequence the migration to preserve record relationships and custom fields, and we explicitly exclude file attachments because Pawa's API does not expose them. Freshsales uses a standard CRM data model (Contacts, Accounts, Deals, Leads) with Freddy AI for lead scoring and built-in phone, email, and chat channels. Workflows and sequences do not migrate; we deliver a written inventory of any automation requiring rebuild in Freshsales.
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 Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Pawa
Contact
Freshsales
Contact
1:1Pawa Contact records (name, phone, email, custom fields) map to Freshsales Contact. We use email as the dedupe key during import. Custom fields are discovered via API at scoping time, and the corresponding Freshsales custom fields are created before import begins. Tags stored as flat string arrays on Pawa Contacts migrate to Freshsales Contact tags. If Pawa Contacts are linked to Companies, we create the Account record first so that AccountId is resolved at Contact insert time.
Pawa
Company
Freshsales
Account
1:1Pawa Company records (name, address, linked contacts) map to Freshsales Account. The Company-to-Contact relationship is preserved by matching on company ID from the exported record set. Address fields (street, city, state, postal code, country) map to Freshsales Account address fields. If Pawa stores a website on Company, it becomes the Account Website field.
Pawa
Deal
Freshsales
Deal
1:1Pawa Deal records (value, stage, linked contacts) map to Freshsales Deal. Deal-to-Contact associations are preserved by resolving the Pawa contact ID to the corresponding Freshsales Contact record before writing. Stage names from Pawa are mapped to Freshsales Deal stages using a stage mapping table created during scoping. If Pawa stores a deal owner, that owner is resolved via User mapping by email match.
Pawa
Custom Fields
Freshsales
Custom Fields
lossyPawa custom fields on Contacts and Companies are discovered via API at scoping time. We create the corresponding Freshsales custom fields (Contact-level or Account-level) in the destination account before any records are written. Field type mapping follows Freshsales field type conventions: text fields map to Text, numeric fields to Number, date fields to Date, and picklist-like fields to Picklist. The customer reviews and approves the custom field map during the scoping phase.
Pawa
User
Freshsales
User
1:1Pawa User records (name, email, role) are exported and mapped to Freshsales User records. We resolve owners by email match. Inactive Pawa users are flagged and excluded unless the customer requests otherwise. Any Pawa Owner without a matching Freshsales User goes to a reconciliation queue for the customer's admin to provision before record import resumes.
Pawa
Tags
Freshsales
Tags
lossyPawa tags stored as flat string arrays on records map to Freshsales Contact tags and Account tags. We note that Freshsales handles tag inheritance (across Contact, Account, and Deal) differently from Pawa's tagging model. The customer chooses the tag migration strategy during scoping.
Pawa
Pipeline Stages
Freshsales
Deal Stages
lossyWhere Pawa supports pipeline stages on Deals, we map stage names and preserve order using a stage mapping table applied at import. If Freshsales uses a different stage model, we create the corresponding stages in Freshsales before migration begins. Stage probability percentages are mapped from Pawa to Freshsales Deal stage probability fields.
Pawa
Attachments
Freshsales
Not migrated
1:1Pawa's API does not expose file attachments in a publicly documented endpoint. We do not migrate attachments. Before migration, we list all attachment-bearing records so the customer can manually download and re-upload them post-migration to Freshsales. We document this in the migration plan and exclude attachments from the record count used to scope migration timelines and pricing.
| Pawa | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Custom Fields | Custom Fieldslossy | Mapping required | |
| User | User1:1 | Fully supported | |
| Tags | Tagslossy | Mapping required | |
| Pipeline Stages | Deal Stageslossy | Mapping required | |
| Attachments | Not migrated1:1 | Not 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
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Discovery and schema validation
We audit the Pawa account across available endpoints, custom fields, record volumes, and any existing export mechanisms. Because Pawa's public documentation is limited, we validate the actual schema against a live API connection before committing to a migration scope. We pair this with a Freshsales account audit to confirm the destination plan tier and any pre-existing data that might create deduplication conflicts. The discovery output is a written migration scope with record counts, custom field list, and a timeline estimate.
Custom field creation and mapping
We create all required Freshsales custom fields (Contact-level, Account-level, Deal-level) in the destination account before any records are imported. Each Pawa custom field is mapped to a typed Freshsales field using the scoping-phase field map approved by the customer. If the customer has Lead records that should convert to Contacts and Accounts in Freshsales, we configure the lead conversion field mapping so that data is not lost during conversion.
Data extraction and cleansing
We extract Pawa data via available API endpoints or, if a bulk export is not accessible, work with the customer to produce a dataset via any available report or CSV download feature. We validate the extracted dataset against the live schema, flag any malformed or duplicate records, and report findings to the customer. Data cleansing (deduplication, formatting correction) is performed before import unless the customer requests otherwise.
Owner and User reconciliation
We extract every distinct Pawa User referenced on Contact, Company, Deal, and Engagement records and match by email against the Freshsales destination account's User table. Owners without a matching Freshsales User go to a reconciliation queue for the customer's admin to provision before record import resumes. Inactive Pawa users are flagged and excluded unless the customer requests otherwise.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Pawa Companies), Contacts (with AccountId resolved), Deals (with ContactId and OwnerId resolved), and Tags. Each phase emits a row-count reconciliation report before the next phase begins. We use Freshsales' CSV import tool for standard records and the appropriate API endpoint for any custom object migrations. Custom fields are written in the same pass as their parent records.
Cutover, validation, and attachment handoff
We freeze writes to Pawa during cutover, run a final delta migration of any records modified during the migration window, then enable Freshsales as the system of record. We deliver a written inventory of attachment-bearing records to the customer for manual re-upload, along with the automation inventory for the admin to rebuild. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team.
Platform deep dives
Pawa
Source
Strengths
Weaknesses
Freshsales
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 Freshsales.
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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