CRM migration
Field-level mapping, validation, and rollback between Pawa and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
Pawa
Source
Zoho CRM
Destination
Compatibility
7 of 10
objects map 1:1 between Pawa and Zoho CRM.
Complexity
CModerate
Timeline
2-3 weeks
Overview
Moving from Pawa to Zoho CRM is a structural migration driven by the need for a more transparent data export process, cross-platform consistency across Android and iOS, and access to a CRM with documented APIs, an established integrations ecosystem, and multiple paid tiers. Pawa stores Contact, Company, Deal, and custom field data with an emphasis on offline-first mobile access, but the platform has no publicly documented bulk export endpoint and does not expose file attachments via its API. We validate the Pawa schema against a live API connection during scoping, build a field map for Zoho CRM before writing any records, and resolve parent-record relationships (Contact-to-Company, Deal-to-Contact) in dependency order. Zoho CRM's Standard edition (starting at $14/user/month) supports custom fields and multi-module imports, while the Free edition does not. We do not migrate automations, workflows, or reports; we deliver a written inventory of these for the customer's admin to rebuild in Zoho's Blueprint and workflow builder post-migration.
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 Zoho CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Pawa
Contact
Zoho CRM
Contact (or Lead)
1:1Pawa Contact records (name, phone, email, custom fields) map to Zoho CRM Contacts. If the customer uses Zoho Leads as a separate pre-conversion stage, we split at scoping based on a lead qualification flag in Pawa. Custom fields on Contacts are discovered via live API at scoping time; we build an explicit field map before import and flag any Pawa field types with no direct Zoho equivalent for customer review.
Pawa
Company
Zoho CRM
Account
1:1Pawa Company records (name, address, linked contacts) map directly to Zoho CRM Accounts. The Company-to-Contact relationship is preserved by resolving the Pawa company ID against the Account record created during the import phase before Contact inserts begin. Account is created first so that Account lookup is satisfied at the moment of Contact write.
Pawa
Deal
Zoho CRM
Deal
1:1Pawa Deal records (value, stage, linked contacts) map to Zoho CRM Deals. The deal-to-contact association is preserved by cross-referencing IDs from the exported record set. If Pawa uses pipeline stages that differ from Zoho's default Deal stages, we create a stage mapping table during scoping and apply it at import. Stage probability percentages map to Zoho's probability field where supported.
Pawa
Custom Field
Zoho CRM
Custom Field
lossyPawa custom fields on Contacts and Companies are discovered via live API at scoping time. We map each Pawa field to a typed Zoho CRM custom field (Text, Number, Date, Picklist, etc.) and create the destination fields in the customer's Zoho CRM account before importing any records. Custom fields are not available in Zoho CRM Free edition; we confirm the destination edition during scoping and flag any upgrade requirement before work begins.
Pawa
Tag
Zoho CRM
Tag
lossyPawa stores tags as flat string arrays on records. Tags migrate as multi-select picklist fields or as standard label fields in Zoho CRM. Zoho handles tag inheritance differently depending on whether the customer uses Tags as a standalone feature or as part of a Zoho CRM Plus workflow. The customer chooses the tag strategy during scoping.
Pawa
User
Zoho CRM
User
1:1Pawa User records (name, email, role) map to Zoho CRM Users. We resolve owners by email match against the Zoho CRM User table. Any Pawa User without a matching Zoho User is held in 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.
Pawa
Attachment
Zoho CRM
Not migrated
1:1Pawa's API does not expose file attachments in a documented endpoint. We do not migrate attachments as part of the migration scope. Before migration begins, we enumerate all attachment-bearing records in the source account and deliver a list so the customer can manually download and re-upload files to Zoho CRM post-migration. Attachment-bearing records are excluded from the record count used to scope migration timelines and pricing.
Pawa
Pipeline Stage
Zoho CRM
Deal Stage
lossyWhere Pawa supports pipeline stages on Deals, we map each stage name and preserve the stage order. If Zoho's default stages do not match the customer's Pawa stage model, we configure a custom sales process in Zoho CRM with stage names, probabilities, and layout assignments before Deal import begins.
Pawa
Field Record
Zoho CRM
Custom Module Record
1:1If the customer uses Pawa's field record capabilities beyond standard Contacts and Companies, we assess whether Zoho CRM's Custom Modules feature can accommodate the data model. We create the destination custom module in Zoho, define all fields and lookup relationships, then import records in dependency order. Custom module creation is scoped separately from standard object migration.
Pawa
Workflow / Automation
Zoho CRM
Not migrated
1:1Pawa workflows and automations do not migrate to Zoho CRM. The automation models differ structurally and are not transferable as code. We deliver a written inventory of every active Pawa automation (trigger, conditions, actions) with a recommended Zoho Blueprint or workflow equivalent for the customer's admin to rebuild post-migration.
| Pawa | Zoho CRM | Compatibility | |
|---|---|---|---|
| Contact | Contact (or Lead)1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| Tag | Taglossy | Fully supported | |
| User | User1:1 | Fully supported | |
| Attachment | Not migrated1:1 | Fully supported | |
| Pipeline Stage | Deal Stagelossy | Fully supported | |
| Field Record | Custom Module Record1:1 | Fully supported | |
| Workflow / Automation | 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
Zoho CRM gotchas
API access requires Professional tier or above
Subform fields do not export cleanly via CSV
API credit consumption is non-linear
Export download links expire in 7 days
Owner (User) assignments require pre-mapped user IDs
Pair-specific challenges
Migration approach
Discovery and Pawa API validation
We request Pawa API credentials and enumerate available endpoints against a live connection. We audit the source account across all modules (Contacts, Companies, Deals, Tags, Users, Custom Fields) and assess whether a bulk export API is accessible or whether manual CSV extraction is required. We also enumerate attachment-bearing records at this stage. The discovery output is a written migration scope document, a confirmed Pawa-to-Zoho field map, and an explicit list of records requiring manual attachment recovery.
Zoho CRM edition confirmation and schema design
We confirm the destination Zoho CRM edition (Standard, Professional, Enterprise) with the customer. If custom fields are in scope, we verify the edition supports them. We then design the destination schema: we pre-create all custom fields in Zoho CRM, configure Deal stages and any custom sales process, and set up page layouts per module. Schema is deployed into a Zoho Sandbox or the live account before any records are imported.
Data extraction and cleaning
If the Pawa API provides bulk access, we export records in module order (Users, Accounts/Companies, Contacts, Deals, Custom Modules). If only individual-record API access is available, we work with the customer to extract via any available report or CSV download feature. We clean the extracted data: we standardize formats, remove duplicates, validate required fields, and flag any records with missing mandatory Zoho fields. The customer reviews and approves the cleaned dataset before import begins.
Sandbox migration and reconciliation
We run a test migration into the customer's Zoho CRM account using a representative subset of records (typically 100-200 per module). The customer reconciles record counts, spot-checks field mapping accuracy, and validates the stage assignments and custom field values. Any mapping corrections are applied to the migration scripts before production migration begins. This step is critical when Pawa's API returns non-standard field formats that require transformation.
Owner reconciliation and User provisioning
We extract every distinct Pawa User referenced on Contact, Company, Deal, and custom module records and match by email against the Zoho CRM User table. Any Pawa User without a matching Zoho User is held in a reconciliation queue. The customer's admin provisions missing Users in Zoho CRM (with the appropriate role and data access profile) before the production migration runs. Owner resolution must be complete before record import begins because Zoho enforces OwnerId references on standard objects.
Production migration in dependency order
We run production migration in record-dependency order: Users (validated), Accounts (from Pawa Companies), Contacts (with AccountId resolved), Deals (with Contact and Account lookups resolved), Custom Modules (last because they may have lookups to standard objects), then Tags as label fields. Each phase emits a row-count reconciliation report before the next phase begins. Attachments are explicitly excluded from all phases.
Cutover, validation, and automation rebuild handoff
We freeze Pawa write access during the cutover window, run a final delta migration of any records modified during the migration window, then enable Zoho CRM as the system of record. We deliver the automation inventory document listing every Pawa workflow requiring rebuild in Zoho Blueprint or workflow builder. We support a one-week hypercare window where we resolve any record-level reconciliation issues. We do not rebuild automations inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Pawa
Source
Strengths
Weaknesses
Zoho CRM
Destination
Strengths
Weaknesses
Complexity grading
Moderate CRM migration. 4 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 Zoho CRM.
Object compatibility
4 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
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