CRM migration
Field-level mapping, validation, and rollback between Pipz and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Pipz
Source
Freshsales
Destination
Compatibility
7 of 10
objects map 1:1 between Pipz and Freshsales.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Moving from Pipz to Freshsales is a structural migration that restructures how your CRM organizes data. Pipz uses a contact-centric model with Companies and Deals as secondary linked records; Freshsales uses the Accounts-and-Contacts model familiar to global CRM users where every Contact must attach to an Account (Company) record. We resolve that relationship graph during scoping, mapping Pipz Companies to Freshsales Accounts and their linked Contacts to the corresponding Account lookup. The Pipz Customer Engagement Index, a behavioral score with no direct Freshsales equivalent, is extracted as raw engagement events and preserved as a custom numeric field so your team can rebuild scoring logic using Freshsales Freddy AI post-migration. Email campaign history and automation event logs transfer as Activity records with timestamps intact. Pipz workflows, automation flows, and Smart Segments do not migrate as configuration; we deliver a written inventory of these for your admin to 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 Pipz 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.
Pipz
Contact
Freshsales
Contact (linked to Account)
1:1Pipz Contacts map directly to Freshsales Contacts. The critical difference is that Freshsales requires every Contact to have an Account (Company) lookup. We resolve this by importing Pipz Companies first as Freshsales Accounts, then mapping Pipz Contacts with their Company association to the corresponding Freshsales Account lookup. Pipz lifecycle stage values preserve in a custom field pipz_lifecycle_stage__c for audit and future segmentation.
Pipz
Company
Freshsales
Account
1:1Pipz Company records map to Freshsales Accounts. The Account name, domain, address fields, and custom fields migrate. The Pipz Company-Contact relationship graph preserves in Freshsales through the Account-Contact lookup. We deduplicate by company domain name during import to avoid creating duplicate Accounts when multiple Pipz Contacts share the same organization.
Pipz
Deal
Freshsales
Deal
1:1Pipz Deals map to Freshsales Deals. Deal value, owner, stage, and associated Contact and Company links transfer. We map Pipz pipeline stages to Freshsales pipeline stages, creating the stage values in Freshsales before migration begins. Closed-Lost and Closed-Won status from Pipz map to Freshsales stage values with the same names if they exist, or to the closest equivalent.
Pipz
Pipeline Stage
Freshsales
Deal Stage
lossyPipz pipeline stages transfer as Freshsales deal stage values. We create the stage values in Freshsales first during the schema design phase, preserving the original stage names and ordering. Probability percentages for each stage migrate if Pipz stores them, otherwise we set defaults and flag for the customer to adjust.
Pipz
Activity
Freshsales
Task or Event
1:1Pipz Activities (email opens, link clicks, chat conversations, page views, automation-triggered events) map to Freshsales Tasks. The event type, timestamp, associated Contact, and metadata fields transfer. Freshsales does not have a native equivalent for every Pipz event type, so we map to a Task with the event type preserved in a custom field pipz_event_type__c. High-volume event types (page views, email opens) may be aggregated into summary records to stay within Freshsales storage and API limits.
Pipz
Email Campaign
Freshsales
Campaign
1:1Pipz Email Campaigns with metadata (name, subject, send date, status) map to Freshsales Campaigns. Campaign member associations (which contacts received which campaign) migrate as CampaignMember records linking the imported Pipz Contacts to their Freshsales Campaign counterparts.
Pipz
Smart Segment
Freshsales
Saved View (manual rebuild)
lossyPipz Smart Segments built from demographic, tag-based, and behavioral rules do not transfer as active filters. We document each segment's definition (criteria, operators, values) as a written specification for the customer to recreate as Freshsales Saved Views or List Views. Tags associated with segment membership are transferred and can be used to rebuild segment logic post-migration.
Pipz
Tag
Freshsales
Tag
1:1Pipz Tags migrate to Freshsales Tags. Tags applied across Contacts, Companies, and Deals transfer with their associations intact. Freshsales Tags are a platform-level feature that can be applied to any record type, matching Pipz's cross-object tagging model. We map all tag names and preserve the record-level tag assignments.
Pipz
Custom Field
Freshsales
Custom Field
lossyPipz custom fields on Contacts, Companies, and Deals require field-level mapping to Freshsales custom fields. We extract the full custom field definition (name, type, options) from Pipz during discovery and pre-create the corresponding Freshsales custom fields before migration. For auto-mapping during Freshsales native imports, custom field names must match exactly; we handle name normalization during the transform phase.
Pipz
User
Freshsales
User
1:1Pipz Users assigned as owners to Contacts, Deals, and automation flows map to Freshsales Users. We resolve owners by email match. Any Pipz User without a matching Freshsales User goes to a reconciliation queue for the customer's admin to provision before record import completes.
| Pipz | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact (linked to Account)1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Deal | Deal1:1 | Fully supported | |
| Pipeline Stage | Deal Stagelossy | Fully supported | |
| Activity | Task or Event1:1 | Fully supported | |
| Email Campaign | Campaign1:1 | Fully supported | |
| Smart Segment | Saved View (manual rebuild)lossy | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Custom Field | Custom Fieldlossy | Fully supported | |
| User | User1:1 | 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.
Pipz gotchas
Contact-based pricing is migration-critical for billing
Customer Engagement Index does not map to standard fields
API rate limits and bulk endpoints are not publicly documented
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 contact-volume audit
We audit the source Pipz account across plan tier, contact volume, Company records, Deal records, Activity event counts, custom field definitions, active automation flows, and Smart Segment rules. We specifically count Pipz Users (including deactivated and automation-only users) to reconcile against the Freshsales per-user licensing model. The discovery output is a written migration scope, a Freshsales plan recommendation (Free for teams under three users, Growth at $9 per user for built-in phone, Pro at $39 per user for advanced automation), and a list of Pipz objects that require Freshsales custom fields to be pre-created.
Schema design and account-contact hierarchy
We design the Freshsales schema. This includes provisioning custom fields on Contact, Account, and Deal objects to receive Pipz data including lifecycle stages, CEI scores, and custom field equivalents. We map Pipz Companies to Freshsales Accounts and configure the import order so that Accounts load before Contacts. We create deal pipeline stages matching the Pipz stage names and ordering. Smart Segment definitions are documented as written specifications rather than configured in Freshsales.
Sandbox migration and reconciliation
We run a full migration into a Freshsales trial or sandbox environment using representative data volume. The customer reconciles record counts (Accounts imported, Contacts imported with Account lookups resolved, Deals imported with stage assignments, Activities imported), spot-checks 20-30 records against the Pipz source, and signs off the mapping before production migration. Any custom field mismatches, stage naming issues, or duplicate Account creations are corrected here.
Owner reconciliation and user provisioning
We extract every distinct Pipz User referenced on Contact, Company, Deal, and Activity records and match by email against the Freshsales User table. Pipz automation-only users (not human team members) are flagged separately. Any Pipz User without a matching Freshsales User goes to a reconciliation queue. The customer's admin provisions missing Freshsales Users before production migration resumes.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Pipz Companies), Contacts (with AccountId resolved via company-domain matching), Deals (with AccountId, OwnerId, and stage resolved), Campaigns and CampaignMembers, Activities (Tasks via Freshsales API to bypass the 25,000-record CSV limit for high-volume event logs), and Tags last. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation rebuild handoff
We freeze Pipz writes during cutover, run a final delta migration of records modified during the migration window, then enable Freshsales as the system of record. We deliver the automation flow inventory and Smart Segment documentation to the customer's admin team. We support a one-week hypercare window where we resolve reconciliation issues. We do not rebuild Pipz automation flows as Freshsales Suite workflows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Pipz
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Pipz and Freshsales.
Object compatibility
3 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
Pipz: Not publicly documented.
Data volume sensitivity
Pipz 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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