CRM migration

Migrate from Pawa to Salesforce Sales Cloud

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 logo

Pawa

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

75%

9 of 12

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

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

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 Pawa objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Pawa 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

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Pawa 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

maps to

Salesforce Sales Cloud

AccountId on Contact

1:1
Fully supported

Pawa 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

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

Pawa 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

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

Pawa 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

maps to

Salesforce Sales Cloud

Custom Fields

1:1
Mapping required

Pawa 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

maps to

Salesforce Sales Cloud

Custom Field (Multi-Select Picklist)

lossy
Fully supported

Pawa 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

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Pawa 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

maps to

Salesforce Sales Cloud

User Role

lossy
Fully supported

Pawa 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

maps to

Salesforce Sales Cloud

Task

1:1
Fully supported

If 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

maps to

Salesforce Sales Cloud

Note

1:1
Fully supported

If 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

maps to

Salesforce Sales Cloud

Not Migrated

1:1
Fully supported

Pawa'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.

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

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

  • Pawa has no publicly documented bulk export endpoint

    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 discovery phase adds scoping time that is not required when migrating from platforms with documented bulk APIs.

  • Attachment files are not accessible via Pawa API

    Pawa's API does not expose file attachments in a publicly documented endpoint. We do not migrate attachments as part of the data migration. Before migration, we list all attachment-bearing records by object and record ID so the customer can manually download and re-upload them post-migration to Salesforce. We document this in the migration plan and exclude attachments from the record count used to scope migration timelines and pricing.

  • Small review sample limits reliability assessment

    Only two verified reviews exist on G2 for Pawa, making it difficult to establish consistent patterns around support quality, uptime, and long-term stability. We encourage customers migrating away from Pawa to validate their destination Salesforce org's SLA and support tier (Standard, Premier, or Signature Success Plan) against the volume of data they plan to move, especially if the migration includes large historical engagement records.

  • Salesforce validation rules and field-level security can block import

    Salesforce orgs commonly enforce validation rules (required formats, conditional requireds, picklist whitelists) and field-level security that the migration user must explicitly bypass during data load. We coordinate with the customer's Salesforce admin to grant the migration user the Bulk API permission set and temporarily disable or extend validation rules that would reject imported records. Skipping this step results in 5-30 percent record rejection on the first import attempt.

  • Date and timestamp fields can shift across time zones

    Date and timestamp fields from Pawa can shift when moved into Salesforce if the two systems have different default time zone settings. We set the Salesforce org's time zone explicitly during migration configuration and validate timestamp ordering on engagement records (Tasks, Events) to ensure the activity timeline remains in the correct sequence post-migration.

Migration approach

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

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.
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?

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 Salesforce Sales Cloud.

  • 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 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 Pawa to Salesforce Sales Cloud data migrations

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

Can't find your answer?

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Most Pawa to Salesforce migrations land between three and five weeks for accounts under 10,000 Contacts and 2,000 Deals with a confirmed API-accessible schema and no complex custom field structures. Migrations with large historical engagement records, multiple Pawa custom field types requiring transformation, or multi-company Pawa setups requiring extensive relationship resolution move to eight to fourteen weeks. The live API discovery phase required for Pawa adds scoping time that is not required when migrating from platforms with documented bulk APIs.

Adjacent paths

Related migrations to explore

Ready when you are

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