CRM migration
Field-level mapping, validation, and rollback between Sales Flow Technologies and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Sales Flow Technologies
Source
Freshsales
Destination
Compatibility
6 of 8
objects map 1:1 between Sales Flow Technologies and Freshsales.
Complexity
BStandard
Timeline
2-3 weeks
Overview
Moving from Sales Flow Technologies to Freshsales is a shift from a LinkedIn-first outreach tool to a full sales CRM. Sales Flow Technologies organizes prospects into Prospect Lists, enrolls them in multi-channel Sequences across LinkedIn and Email, and tracks engagement in a unified Inbox—but it has no native pipeline management, Deal tracking, or Account hierarchy. Freshsales provides all of that, starting with Contacts, Accounts, and Deals. We migrate the Contact records and Prospect List membership as Tags, preserve sequence step ordering and cadence data in a written Workflow Migration Summary for manual reconstruction, and load historical activity into Freshsales's native activity timeline. We do not migrate Workflow automation logic as code because it is not exposed via CSV or API on non-Agency tiers. Freshsales's built-in phone, email, and Freddy AI are available from Growth tier ($9/user/month), replacing the outreach-centric workflows that teams currently run in Sales Flow Technologies.
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 Sales Flow Technologies 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.
Sales Flow Technologies
Contact
Freshsales
Contact
1:1Sales Flow Technologies Contacts (name, email, company, role, LinkedIn URL, custom fields) migrate directly to Freshsales Contacts. The email address is the dedupe key. LinkedIn profile URL migrates to a custom Contact field (LinkedIn_URL__c) since Freshsales does not have a native LinkedIn field. Any custom fields on the Contact in Sales Flow Technologies are created as matching custom fields in Freshsales before import, and data is mapped field-by-field during the CSV load.
Sales Flow Technologies
Prospect List
Freshsales
Tag
lossySales Flow Technologies Prospect Lists are named groupings of Contacts (list membership is a column in the Contact CSV export). We extract list names and map each one to a Freshsales Tag. A Contact that belongs to three Prospect Lists in Sales Flow Technologies receives three corresponding Tags in Freshsales. The customer chooses during scoping whether to also preserve list names as a multi-select custom field for more structured segmentation beyond Tags.
Sales Flow Technologies
Outreach Sequence
Freshsales
Sales Sequences + Note
1:1Sales Flow Technologies Sequences define multi-step cadences across LinkedIn, Email, and InMail with step ordering and timing intervals. Sequence step data is exported as a structured CSV (sequence name, step number, channel, template name, delay days). We migrate Sequence names as Freshsales Sales Sequences and document the step order, channel routing, and delay intervals in a Sequence Migration Summary. Freshsales Sales Sequences can be rebuilt from this documentation, but the cadence configuration itself requires manual recreation in Freshsales because sequence logic is not transferable between platforms.
Sales Flow Technologies
Campaign
Freshsales
Tag + Note
1:1Sales Flow Technologies Campaigns bundle multiple Sequences under a single objective with reporting date ranges. We migrate Campaign names as Tags on the associated Contacts and document the Campaign-Sequence relationship in the Sequence Migration Summary. Channel routing logic and A/B testing configurations in Sales Flow Technologies are not exportable and are documented for manual rebuild in Freshsales.
Sales Flow Technologies
User Account
Freshsales
User
1:1Sales Flow Technologies User accounts (name, email, role: Admin or Standard) map to Freshsales Users by email match. Role labels migrate as Freshsales Role assignments, and seat assignments are preserved as Active/Inactive status. Users without a matching Freshsales User record are held in a reconciliation queue for the customer's admin to provision before the Contact import phase.
Sales Flow Technologies
Company (implicit in Contact)
Freshsales
Account
1:manySales Flow Technologies stores company name as a field on the Contact record with no separate Company or Account object. We extract distinct company names from the Contact CSV and create Freshsales Account records, then link each Contact to its parent Account via the Account Lookup during the Contact import phase. This establishes the Account-Contact hierarchy that Sales Flow Technologies does not have.
Sales Flow Technologies
Analytics Metrics
Freshsales
Reports + Custom Fields
1:1Sales Flow Technologies exports per-sequence open rates, reply rates, and connection acceptance rates as a CSV analytics report. We import these metrics as a structured dataset and create corresponding custom number fields on the Contact or Account record (e.g., last_sequence_open_rate__c, last_sequence_reply_rate__c) to preserve the historical signal. Freshsales native Reports do not replicate Sales Flow Technologies sequence analytics; the custom fields allow reps to reference historical outreach performance in the activity timeline.
Sales Flow Technologies
Deal
Freshsales
Deal
1:1Sales Flow Technologies does not have a Deal or Opportunity object. We flag during scoping that Deals represent new capability in Freshsales rather than migrated data. The customer configures Freshsales Deal pipelines and stages post-migration. We do not create placeholder Deals from Sales Flow Technologies sequence enrollment status because enrollment does not equate to a sales opportunity.
| Sales Flow Technologies | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Prospect List | Taglossy | Fully supported | |
| Outreach Sequence | Sales Sequences + Note1:1 | Fully supported | |
| Campaign | Tag + Note1:1 | Fully supported | |
| User Account | User1:1 | Fully supported | |
| Company (implicit in Contact) | Account1:many | Fully supported | |
| Analytics Metrics | Reports + Custom Fields1:1 | Mapping required | |
| Deal | Deal1:1 | 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.
Sales Flow Technologies gotchas
LinkedIn account risk with automated outreach
Workflow logic is not exported
Seat-count tier jumps create billing discontinuities
CSV export does not include activity history timestamps
Agency tier required for API access
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 data export
We audit the source Sales Flow Technologies account across plan tier, seat count, Contact volume, Prospect List count, active Sequences, and engagement history. We request the standard CSV export and the Advanced Analytics CSV export to capture the richest available data. We identify whether the account is on Agency tier (API access) or lower (CSV-only). We also document active Workflow configurations and Sequence names for the migration summary. The discovery output is a written scope confirming record counts, custom field inventory, and the data export method available.
Freshsales schema setup
We configure the Freshsales destination account before any data loads. This includes creating custom Contact fields to match any custom fields in Sales Flow Technologies (e.g., LinkedIn_URL__c, last_sequence_name__c, sequence_step__c), creating Account custom fields, setting up Tags to mirror Prospect Lists, and configuring the Deal pipeline and stage structure if the customer wants to begin using Deals post-migration. User records are provisioned or validated against the Sales Flow Technologies User list by email match.
Data reconciliation and test import
We run a test import of a sample Contact set into Freshsales Sandbox to validate field mapping, Tag creation, and deduplication behavior. We reconcile record counts between the Sales Flow Technologies export and the Freshsales test import and spot-check 25-50 records field-by-field. Custom field mapping corrections happen here before production migration. We also extract distinct company names from Contact records and create the corresponding Account records during this phase.
Production import in dependency order
We run production import in this order: Accounts (from extracted company names), Contacts (with Account Lookup resolved, Prospect List membership mapped to Tags, custom fields populated), and User mapping validated. Activity history (sequence step completion timestamps from the Advanced Analytics CSV) migrates as custom fields on Contact. Sequence and Campaign names migrate as Tags with a Sequence Migration Summary document delivered as a separate artifact. Each phase emits a reconciliation report confirming record counts before the next phase begins.
Workflow and Sequence rebuild handoff
We deliver the Workflow Migration Summary documenting every Sales Flow Technologies Workflow with its conditional branches, step order, and timing logic, plus the Sequence Migration Summary with step-level cadence data. Freshsales Sales Sequences and Workflows require manual rebuild in the Freshsales builder (Pro tier or above required for Workflows). We do not rebuild sequences or workflows as code inside the migration scope. We support a one-week hypercare window for post-migration reconciliation issues raised by the customer's team.
Platform deep dives
Sales Flow Technologies
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 Sales Flow Technologies 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
Sales Flow Technologies: Not publicly documented — typical SaaS limits assumed and confirmed during scoping.
Data volume sensitivity
Sales Flow Technologies 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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