CRM migration
Field-level mapping, validation, and rollback between Plumb5 and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Plumb5
Source
Freshsales
Destination
Compatibility
3 of 8
objects map 1:1 between Plumb5 and Freshsales.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Plumb5 and Freshsales take different approaches to customer data architecture. Plumb5 builds unified profiles around behavioral events and a proprietary auto-segmentation engine; Freshsales separates Contacts from Accounts with Freddy AI scoring built natively into the CRM. We migrate Plumb5 Customer Profiles to Freshsales Contacts, Companies to Accounts, and Campaigns to Freshsales Campaigns, with behavioral event logs attached as activity records. Plumb5's last-known score values transfer as a read-only numeric custom field; the scoring logic itself cannot migrate and must be rebuilt using Freshsales Freddy AI after cutover. The migration is constrained by Plumb5's lack of a publicly documented bulk export API, so we inspect the live instance's API surface during discovery before confirming scope. Workflows, automation models, and segmentation rules do not migrate as executable code; we deliver a written inventory for the customer's Freshsales admin to rebuild.
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 Plumb5 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.
Plumb5
Customer Profile
Freshsales
Contact
1:1Plumb5 Customer Profiles map directly to Freshsales Contacts. Standard fields including name, email, phone, and address migrate as typed Freshsales fields. Plumb5 behavioral score values migrate as a read-only numeric custom field plumb5_score__c. The customer's Plumb5 lifecycle stage migrates to the Freshsales Lifecycle Stage field with closest-match value mapping, with any Plumb5-only stage values stored as a secondary custom field plumb5_lifecycle__c for the admin to reassign post-migration.
Plumb5
Company
Freshsales
Account
1:1Plumb5 stores business-level data as part of the unified Customer Profile rather than as a separate entity. We extract company-related properties (company name, industry, employee count, annual revenue) from each Customer Profile and create corresponding Freshsales Account records. The Account is created before the Contact so that the Account Lookup relationship is satisfied at the moment of Contact insert. Dedupe is performed on Account Name.
Plumb5
Behavioral Event
Freshsales
Activity (Task)
1:manyPlumb5 behavioral events (web visits, email opens, campaign clicks, offline interactions) migrate as Freshsales Task records attached to the corresponding Contact. Each Task receives a type label (web_visit, email_engagement, campaign_click, offline_interaction) via a custom field plumb5_event_type__c, preserving the event category. Timestamps migrate as ActivityDate and the original event timestamp stored in a custom field plumb5_event_time__c for chronological ordering. High-volume event migrations require batch chunking against Freshsales API limits.
Plumb5
Channel Source
Freshsales
Lead Source or Custom Field
lossyPlumb5 tags each profile with a source channel (organic search, paid search, social, email, direct, referral). Channel attribution migrates as a Freshsales Lead Source value if the destination uses the standard field, or to a custom picklist field plumb5_channel__c if the customer's existing Freshsales Lead Source values are already in use. The admin chooses the target field during scoping. Multi-touch attribution data from Plumb5 (which may store first-touch and last-touch channel) migrates as separate custom fields.
Plumb5
Campaign
Freshsales
Campaign
1:1Plumb5 Campaigns with associated audiences, goals, and performance metrics migrate to Freshsales Campaigns. Campaign membership (which Contacts were part of which Campaign) migrates as Campaign Member records linked to the Contact and Campaign. Campaign status and type fields map from Plumb5 values to Freshsales Campaign Type picklist. Note that Plumb5 campaign automation rules tied to these campaigns require separate rebuild documentation and do not migrate as active workflows.
Plumb5
Scoring Model (last-known values)
Freshsales
Custom Numeric Field (read-only)
lossyPlumb5 auto-segmentation scores are derived from a rules engine specific to the platform and cannot transfer as executable logic. We extract the last-recorded numeric score for each Customer Profile and store it as a Freshsales custom field plumb5_score__c marked read-only post-migration. The customer's Freshsales team rebuilds equivalent scoring using Freddy AI rules after migration. We document the original Plumb5 score definitions during discovery so the rebuild team has a reference.
Plumb5
Segmentation Rule (membership lists)
Freshsales
Contact List or Custom Tag Field
1:manyPlumb5 dynamic segments generated by auto-segmentation are evaluated continuously on the source platform and cannot transfer as live segment definitions. We export each Contact's segment membership as of the migration snapshot date and store segment names in a custom multi-select picklist field plumb5_segments__c or as Contact List memberships in Freshsales, depending on the customer's usage pattern. Post-migration, Freshsales Static Lists replace the static memberships and Freddy AI Rules rebuild the dynamic classification.
Plumb5
Custom Property
Freshsales
Custom Field
lossyPlumb5 user-defined fields extending the standard Customer Profile schema migrate to Freshsales custom fields created during the schema design phase. We discover all Plumb5 custom properties during the schema audit, map each to an equivalent Freshsales field type (text, number, date, picklist, multi-select picklist, checkbox, phone, url), provision the fields in Freshsales before migration, and then import data into them. Any Plumb5 custom field without a Freshsales native equivalent maps to a text custom field and is flagged in the migration inventory.
| Plumb5 | Freshsales | Compatibility | |
|---|---|---|---|
| Customer Profile | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Behavioral Event | Activity (Task)1:many | Fully supported | |
| Channel Source | Lead Source or Custom Fieldlossy | Fully supported | |
| Campaign | Campaign1:1 | Fully supported | |
| Scoring Model (last-known values) | Custom Numeric Field (read-only)lossy | Fully supported | |
| Segmentation Rule (membership lists) | Contact List or Custom Tag Field1:many | Fully supported | |
| Custom Property | Custom Fieldlossy | 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.
Plumb5 gotchas
No publicly documented bulk export API
Data-consumption billing model affects migration sizing
Behavioral scoring models do not transfer as executable rules
Lifecycle stage definitions may not map 1:1
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 API surface inspection
We request read-only Plumb5 API credentials and inspect the live instance's endpoints during a discovery session. We enumerate all Customer Profile fields (standard and custom), behavioral event types, campaign records, segment definitions, and scoring model outputs. We also audit the target Freshsales instance for existing fields, layouts, and record types. The discovery output is a written migration scope that confirms record counts, field-level mapping, and any Plumb5 API constraints that affect the migration timeline.
Schema design in Freshsales
We design the Freshsales destination schema to receive Plumb5 data. This includes creating custom fields for plumb5_score__c (numeric, read-only), plumb5_lifecycle__c (text or picklist for unmapped stage values), plumb5_channel__c (picklist for channel attribution), plumb5_event_type__c (picklist for behavioral event categorization), and plumb5_segments__c (multi-select picklist for segment membership). We provision these fields in Freshsales before any data import begins. Campaign structures and Account fields are also configured during this phase.
Sandbox migration and reconciliation
We run a full migration into a Freshsales sandbox account using a representative data sample. The customer's RevOps lead reviews 25-50 randomly sampled records against the Plumb5 source for field accuracy, verifies segment membership assignments, confirms activity log completeness, and signs off before production migration begins. Any field mapping corrections or data transformation issues surface here and are resolved before production cutover.
User and owner reconciliation
We extract every distinct owner referenced on Plumb5 Customer Profiles and match by email against Freshsales Users. Any Plumb5 owner without a matching Freshsales User goes to a reconciliation queue for the customer's admin to provision. Account ownership, Contact ownership, and Campaign ownership in Freshsales require a valid OwnerId, so this step must be completed before record import begins.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Plumb5 company properties), Contacts (with AccountId resolved and plumb5_score__c populated), Campaigns (with associated contact memberships as Campaign Members), Activity history (Tasks from behavioral events via batched API calls), and Segment memberships (plumb5_segments__c values and Static Lists). Each phase emits a row-count reconciliation report before the next phase begins. Plumb5 behavioral events that exceed API capacity are chunked with exponential backoff.
Cutover, validation, and scoring rebuild handoff
We freeze Plumb5 writes during cutover, run a final delta migration of any records modified during the migration window, and hand off Freshsales as the system of record. We deliver the Plumb5 scoring model documentation to the customer's Freshsales admin for Freddy AI rebuild. We do not rebuild Plumb5 segmentation rules or workflows as Freshsales automations inside the migration scope; those are documented separately for the admin to rebuild post-migration. We support a three-day hypercare window for reconciliation issues.
Platform deep dives
Plumb5
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Plumb5 and Freshsales.
Object compatibility
2 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
Plumb5: Not publicly documented — typical SaaS limits assumed and confirmed during scoping.
Data volume sensitivity
Plumb5 exposes a bulk API — large-volume migrations stream efficiently.
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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