CRM migration
Field-level mapping, validation, and rollback between Sales Flow Technologies and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Sales Flow Technologies
Source
Salesforce Sales Cloud
Destination
Compatibility
11 of 13
objects map 1:1 between Sales Flow Technologies and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Sales Flow Technologies is an outreach-first platform built around LinkedIn-native multichannel sequencing, CSV-based contact management, and a workflow builder for cadence automation. It has no native pipeline management, deal-stage tracking, or account hierarchy. Migrating to Salesforce Sales Cloud means moving from a standalone sales engagement tool into a full CRM with Leads, Contacts, Accounts, Opportunities, Products, and a native activity timeline. We extract Contacts and Prospect List memberships via CSV, resolve the prospect-to-Lead mapping, recreate Campaigns with member enrollment history, and use Salesforce Bulk API 2.0 to load engagement activity into the Task and Event timeline. Workflows, Sequences, and Inbox messages do not migrate as code or data; we deliver documented inventories for manual reconstruction. LinkedIn connection and messaging history lives in LinkedIn's infrastructure and is not accessible via export.
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 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.
Sales Flow Technologies
Contact
Salesforce Sales Cloud
Lead
1:1Sales Flow Contacts with no associated deal history, no company Opportunity, and an outreach-only status map to Salesforce Lead. We use the Contact's last_sequence_enrollment_date and outreach_enrollment_status to determine whether the record is a raw prospect (Lead) or a converted buyer contact. All original Sales Flow custom properties migrate as Salesforce Lead custom fields with __c suffix. The original Sales Flow contact_id preserves as sf_salesflow_id__c for dedupe and cross-reference.
Sales Flow Technologies
Contact
Salesforce Sales Cloud
Contact
1:1Sales Flow Contacts that the customer marks as customers, closed-won, or high-intent (based on sequence engagement scoring in the source) map to Salesforce Contact linked to an Account. We use the Contact's associated Prospect List membership and sequence completion status to infer account context. If the source Contact has a company_name property but no separate Account in Sales Flow, we create the Account first during migration, then link the Contact.
Sales Flow Technologies
Company (Sales Flow custom property)
Salesforce Sales Cloud
Account
1:1Sales Flow Contacts carry a company_name property that maps to Salesforce Account Name. We extract all unique company_name values from the Contact export, create Account records using company_name as the Account Name and the domain extracted from email as the Website, then backfill AccountId on the Contact migration. If the customer has no separate Account creation workflow, this extraction step ensures that every Contact in Salesforce has an Account parent.
Sales Flow Technologies
Prospect List
Salesforce Sales Cloud
Campaign + Campaign Member
1:1Sales Flow Prospect Lists are named groupings of Contacts used to organize outreach targets. We export list membership via CSV with a dedicated column indicating list assignment, then create Salesforce Campaigns (Campaign Type = Sales Flow Prospect List for lineage) and enroll the Contacts as Campaign Members with Member Status = Sent. List names and creation dates preserve as Campaign Name and Campaign Start Date.
Sales Flow Technologies
Outreach Sequence
Salesforce Sales Cloud
Campaign
lossySales Flow Sequences define the cadence and channel steps (LinkedIn connection request, follow-up email, InMail) for a group of Contacts. Sequence step ordering and timing data migrate as Campaign Member history entries — each step becomes a Campaign Member with a custom field tracking the step number, channel, template used, and scheduled date. We preserve the sequence step order as a numeric sort field. Channel routing logic and A/B testing configurations do not transfer; we document them in the Workflow Reconstruction Summary.
Sales Flow Technologies
Campaign
Salesforce Sales Cloud
Campaign
1:1Sales Flow Campaigns bundle multiple Sequences under a single objective. We migrate Campaign names, associated Sequence count, and the campaign-level reporting date range as Salesforce Campaign Start Date and End Date. Channel routing logic and A/B testing configurations are documented in the Workflow Reconstruction Summary and are not migrated as automation code.
Sales Flow Technologies
Analytics Metrics
Salesforce Sales Cloud
Campaign CampaignMember custom fields
1:1Sales Flow provides per-sequence and per-step open rates, reply rates, and connection acceptance rates. We export these metrics as a structured CSV report and create custom fields on the Salesforce Campaign and Campaign Member objects (e.g., sft_open_rate__c, sft_reply_rate__c) to carry the historical engagement scores. These are reporting fields only; they do not trigger Salesforce workflows. The destination CRM may not have native equivalents for all Sales Flow analytics dimensions.
Sales Flow Technologies
User Account
Salesforce Sales Cloud
User
1:1Sales Flow User accounts define who on the team is running outreach. We map source User accounts to Salesforce User records by email match. Seat assignments and role labels (Admin, Standard) from Sales Flow migrate as Salesforce User Role and Profile assignments. Any Sales Flow User without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before Contact reassignment proceeds.
Sales Flow Technologies
Engagement: Email (sequence email activity)
Salesforce Sales Cloud
Task + EmailMessage
1:1Sales Flow email engagement activity within Sequences maps to Salesforce Task records with ActivityDate set to the original Sales Flow timestamp, and EmailMessage records capturing the email body. The Task WhatId points to the Salesforce Campaign derived from the parent Sequence. We do not migrate the full email thread history if it exceeds the CSV export scope; the Workflow Reconstruction Summary flags this gap.
Sales Flow Technologies
Engagement: Call (InMail or call log)
Salesforce Sales Cloud
Task (TaskSubtype = Call)
1:1Sales Flow InMail and call engagement activity maps to Salesforce Task with TaskSubtype = Call. Call duration, disposition, and outcome data migrate to custom Task fields (sft_call_duration__c, sft_call_disposition__c). Activity timeline ordering is preserved by setting ActivityDate to the original Sales Flow timestamp. LinkedIn InMail content migrates as Task Description if available in the CSV export.
Sales Flow Technologies
Engagement: Note
Salesforce Sales Cloud
Note
1:1Sales Flow Notes attached to Contacts or Sequences migrate to Salesforce Note records linked via ContentDocumentLink to the parent Lead, Contact, or Account. Note body migrates as rich text. Attachments migrate as separate ContentDocument records linked to the Note.
Sales Flow Technologies
Custom Fields on Contact
Salesforce Sales Cloud
Custom Fields on Lead/Contact
lossySales Flow Contacts may carry custom fields beyond the standard name, email, company, and LinkedIn URL. We map these to Salesforce custom fields on Lead and Contact using the __c suffix convention. Field type mapping follows Salesforce's type system: text properties become Text fields, numeric properties become Number fields, date properties become Date fields. Picklist-like values migrate to Picklist or Multi-Select Picklist depending on the source field cardinality.
Sales Flow Technologies
Workflows
Salesforce Sales Cloud
Workflow Documentation (no code migration)
1:1Sales Flow Workflows define conditional branching logic for prospect responses and follow-up actions. The workflow builder configuration is not exposed via CSV or API and does not migrate as automation code. We produce a detailed Workflow Reconstruction Summary documenting every conditional rule, step order, timing delay, and channel routing so the customer's admin can manually reconstruct it in Salesforce Flow. This is the most common source of post-migration surprise; we surface it explicitly during scoping.
| Sales Flow Technologies | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Lead1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Company (Sales Flow custom property) | Account1:1 | Fully supported | |
| Prospect List | Campaign + Campaign Member1:1 | Fully supported | |
| Outreach Sequence | Campaignlossy | Fully supported | |
| Campaign | Campaign1:1 | Fully supported | |
| Analytics Metrics | Campaign CampaignMember custom fields1:1 | Mapping required | |
| User Account | User1:1 | Fully supported | |
| Engagement: Email (sequence email activity) | Task + EmailMessage1:1 | Fully supported | |
| Engagement: Call (InMail or call log) | Task (TaskSubtype = Call)1:1 | Fully supported | |
| Engagement: Note | Note1:1 | Fully supported | |
| Custom Fields on Contact | Custom Fields on Lead/Contactlossy | Fully supported | |
| Workflows | Workflow Documentation (no code migration)1:1 | Mapping required |
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
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Discovery and export scoping
We audit the Sales Flow Technologies portal across plan tier, Contact volume, Prospect List count, active Sequences and Campaigns, active Workflows, User count, and analytics report scope. We confirm whether the customer has access to the Advanced Analytics CSV export (required for complete timestamp reconstruction) or is limited to the standard export. We identify any LinkedIn data the customer should export independently from LinkedIn Sales Navigator before the migration window opens. The discovery output is a written migration scope document covering record counts, object mapping decisions, and explicit boundaries for what will and will not migrate.
Salesforce schema preparation
We design the destination Salesforce schema in a Sandbox org before production migration. This includes provisioning custom fields (__c) on Lead and Contact to carry Sales Flow properties, creating Campaigns with custom engagement-score fields (sft_open_rate__c, sft_reply_rate__c), configuring Campaign Member Status values to reflect Sales Flow sequence step channels, and setting up User Role and Profile assignments mapped from Sales Flow seat roles. We deploy the Sandbox schema via Salesforce metadata API or change set and validate that all field types and lengths accommodate the source data before the production migration begins.
CSV export and data reconciliation
We extract Contacts, Prospect Lists, Sequences, Campaigns, User accounts, and analytics metrics from Sales Flow Technologies via CSV export. We reconcile record counts against the Sales Flow portal UI to confirm no truncation from row limits. We merge the standard export with the Advanced Analytics export to reconstruct complete activity timestamps. We extract unique company_name values from Contacts to seed the Account import batch. The reconciliation output is a record-count report that the customer signs off on before import begins.
Sandbox migration and mapping validation
We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-equivalent data volume. The customer's RevOps lead spot-checks 25-50 random Contacts and Campaign Members against the Sales Flow source data, validates the Account-Contact linkage, and confirms the Campaign Member enrollment history reflects the source sequence step order. Any field mapping corrections, custom field additions, or validation rule adjustments happen in the Sandbox before production migration begins. No production data moves until Sandbox sign-off is received.
Production migration in dependency order
We run production migration in record-dependency order: Salesforce Users (validated against the User reconciliation queue), Accounts (from unique company_name values in Contacts), Leads (from raw outreach-only Contacts), Contacts (linked to Accounts), Campaigns (from Sales Flow Prospect Lists), Campaign Members (from Contacts enrolled in Sequences, with step order preserved as custom fields), analytics metrics (as custom fields on Campaign and Campaign Member), and engagement activity history (Tasks and Events via Bulk API 2.0 with parent-record resolution). Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and Workflow Reconstruction Summary delivery
We freeze Sales Flow write access during the cutover window, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the Workflow Reconstruction Summary documenting every Sales Flow Workflow and Sequence conditional rule, step order, timing delay, and channel routing with recommended Salesforce Flow equivalents. We deliver the Sequence Reconstruction Summary documenting cadence step order for manual rebuild in Salesforce Sales Engagement. We support a one-week hypercare window for reconciliation issues. We do not rebuild Sales Flow Workflows or Sequences as Salesforce Flow or Sales Engagement cadences inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Sales Flow Technologies
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 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 Salesforce Sales Cloud.
Object compatibility
1 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.
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FAQ
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