CRM migration

Migrate from Pawa to Freshsales

Field-level mapping, validation, and rollback between Pawa and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.

Pawa logo

Pawa

Source

Freshsales

Destination

Freshsales logo

Compatibility

63%

5 of 8

objects map 1:1 between Pawa and Freshsales.

Complexity

CModerate

Timeline

1-2 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Pawa logo

Pawa

What's pushing teams away

  • Limited public documentation and API transparency make it difficult for technical teams to evaluate the platform's data export capabilities before committing.
  • The platform appears to be better optimized for Android devices, leading Apple users to feel underserved and to seek alternatives with consistent cross-platform support.
  • Small review volume on G2 (only 2 reviews) makes it hard for prospective buyers to assess long-term reliability and support quality, prompting some to choose more established CRMs.

Choosing

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Pawa objects map to Freshsales

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

maps to

Freshsales

Contact

1:1
Fully supported

Pawa 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

maps to

Freshsales

Account

1:1
Fully supported

Pawa 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

maps to

Freshsales

Deal

1:1
Fully supported

Pawa 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

maps to

Freshsales

Custom Fields

lossy
Mapping required

Pawa 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

maps to

Freshsales

User

1:1
Fully supported

Pawa 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

maps to

Freshsales

Tags

lossy
Mapping required

Pawa 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

maps to

Freshsales

Deal Stages

lossy
Mapping required

Where 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

maps to

Freshsales

Not migrated

1:1
Not supported

Pawa'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.

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.

Pawa logo

Pawa gotchas

High

No publicly documented bulk data export endpoint

High

Attachment files are not exposed via API

Medium

Small review sample limits platform reliability assessment

Low

Android preference may affect iOS user experience post-migration

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • No documented bulk data export endpoint in Pawa

    Pawa does not publish a bulk export or batch API endpoint in its available documentation. We request API credentials and enumerate available endpoints during scoping. If a full data export is not accessible via API, we work with the customer to export records manually via any available report or CSV download feature and validate the resulting dataset against the live schema before mapping. This manual extraction step can extend scoping timelines by three to five business days.

  • Attachment files are not exposed via Pawa API

    Pawa'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. Customers should budget time for this manual re-upload step.

  • Custom fields must be pre-created in Freshsales before import

    Freshsales requires custom fields to exist in the destination account before data can be written to them via import. We create all required custom fields (Contact-level, Account-level, Deal-level) during the schema design phase before any records are imported. Freshsales supports creating custom fields from the Field mapping dropdown during lead custom field setup or from Admin settings. The customer must review and approve the custom field map before we create fields in the destination account.

  • Freshsales Lead conversion requires explicit field mapping

    If the customer's Pawa data includes unqualified prospect records that should map to Freshsales Leads (rather than Contacts), we need an explicit Lead conversion field mapping defined before migration. Freshsales allows custom field mapping during lead conversion so that lead field data transfers to the corresponding Contact, Account, and Deal fields. We configure this mapping during the schema design phase to prevent data loss during conversion.

  • Workflows and sequences do not migrate

    Pawa workflows and sequences do not migrate to Freshsales because the automation models differ structurally. We do not migrate them as code. We deliver a written inventory of any active automation with its trigger, conditions, and actions, with a recommended Freshsales Workflow equivalent for the customer's admin to rebuild post-migration. This inventory is included in the standard migration scope delivery.

Migration approach

Six steps for a successful Pawa to Freshsales data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Pawa logo

Pawa

Source

Strengths

  • Works reliably in low-connectivity and offline environments for field data collection.
  • Cross-device compatibility across Android, tablets, and mobile phones.
  • Straightforward mobile interface suitable for non-technical field users.

Weaknesses

  • Very limited public API documentation and low review volume hinder technical evaluation.
  • Appears to favour Android over iOS, creating an inconsistent experience for mixed-device teams.
  • No publicly documented bulk export mechanism, which complicates large-scale migrations.
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Moderate CRM migration. 5 of 8 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Pawa and Freshsales.

  • Object compatibility

    C

    5 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

    Pawa: Not publicly documented.

  • Data volume sensitivity

    B

    Pawa doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Pawa to Freshsales 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 Pawa to Freshsales data migrations

Answers to the questions buyers ask most during Pawa to Freshsales migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most migrations land between one and two weeks for accounts under 5,000 Contacts and 1,000 Deals with no complex custom field types. Migrations requiring manual data extraction (because Pawa lacks a documented bulk export), multiple custom field types, or a large record volume move to three to five weeks because of the live-schema validation step and the manual data extraction coordination.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Pawa.
Land in Freshsales, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day