CRM migration

Migrate from Sales Flow Technologies to Salesforce Sales Cloud

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 logo

Sales Flow Technologies

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

85%

11 of 13

objects map 1:1 between Sales Flow Technologies and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Sales Flow Technologies logo

Sales Flow Technologies

What's pushing teams away

  • LinkedIn policy enforcement has tightened, and teams report account restrictions or bans when automated actions exceed LinkedIn's comfort threshold.
  • Feature gating by plan tier means advanced analytics, white-label branding, and API access require upgrades that inflate the effective per-seat cost.
  • Occasional platform glitches disrupt active outreach sequences mid-campaign, creating gaps in prospect engagement timing.
  • Teams outgrow the tool when deal complexity increases, since Salesflow lacks native pipeline management, custom objects, or robust reporting beyond outreach metrics.

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 Sales Flow Technologies objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Lead

1:1
Fully supported

Sales 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

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Sales 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)

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Sales 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

maps to

Salesforce Sales Cloud

Campaign + Campaign Member

1:1
Fully supported

Sales 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

maps to

Salesforce Sales Cloud

Campaign

lossy
Fully supported

Sales 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

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

Sales 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

maps to

Salesforce Sales Cloud

Campaign CampaignMember custom fields

1:1
Mapping required

Sales 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

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Sales 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)

maps to

Salesforce Sales Cloud

Task + EmailMessage

1:1
Fully supported

Sales 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)

maps to

Salesforce Sales Cloud

Task (TaskSubtype = Call)

1:1
Fully supported

Sales 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

maps to

Salesforce Sales Cloud

Note

1:1
Fully supported

Sales 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

maps to

Salesforce Sales Cloud

Custom Fields on Lead/Contact

lossy
Fully supported

Sales 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

maps to

Salesforce Sales Cloud

Workflow Documentation (no code migration)

1:1
Mapping required

Sales 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.

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.

Sales Flow Technologies logo

Sales Flow Technologies gotchas

High

LinkedIn account risk with automated outreach

High

Workflow logic is not exported

Medium

Seat-count tier jumps create billing discontinuities

Medium

CSV export does not include activity history timestamps

Low

Agency tier required for API access

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

  • Sequence cadence logic is not exportable

    Sales Flow Sequences define multichannel outreach cadences across LinkedIn, Email, and InMail with conditional branching (e.g., 'if no reply after 3 days, send template B'). This logic lives in Sales Flow's application state and is not accessible via CSV export or API. We export step ordering and timing as Campaign Member metadata, but the conditional routing rules do not transfer. We deliver a Sequence Reconstruction Summary documenting every conditional branch, delay, channel assignment, and A/B test variant for the customer's admin to rebuild in Salesforce Sales Engagement or Flow. Migrations that skip this documentation step result in admins rebuilding sequences from memory, which is error-prone and time-consuming.

  • LinkedIn connection history and InMail threads are not accessible

    Sales Flow Inbox messages and LinkedIn connection history live in LinkedIn's infrastructure and are not exposed via Sales Flow's export. We cannot migrate LinkedIn conversation threads, connection dates, or InMail content as records. Teams that rely on LinkedIn engagement history for relationship context must re-establish that context in Salesforce manually or via LinkedIn Sales Navigator's own data export tools. We flag this gap explicitly during scoping and advise customers to export their LinkedIn Sales Navigator data separately before cutover.

  • CSV export omits activity timestamps without the Advanced Analytics add-on

    Sales Flow's standard CSV export truncates or omits certain timestamp fields, including last activity date and sequence step completion timestamps. Teams on Basic, Starter, or Pro tiers (without the Agency plan required for API access) receive incomplete timestamp data. We request the Advanced Analytics CSV export as a complement to the standard export, merge the two datasets to reconstruct a complete activity timeline, and flag any gaps where timestamp data is absent. If both exports are incomplete, we set ActivityDate to the Campaign enrollment date as a floor date and note the limitation in the reconciliation report.

  • Sales Flow has no deal history to migrate

    Sales Flow Technologies does not have an Opportunity or Deal object. There is no deal-stage history, closed-won date, deal value, or pipeline record to migrate to Salesforce. Teams that want to capture deal context in Salesforce must create Opportunity records from scratch post-migration, which is a separate data-entry or import task beyond the standard Contact and Campaign migration scope. We clarify this boundary during scoping and offer an Opportunity seeding package as an add-on if the customer wants to reconstruct deal history from an external source.

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

    Salesforce orgs commonly enforce validation rules (required formats, conditional required fields, picklist whitelists) and field-level security that block importing records with non-conforming values. We coordinate with the customer's Salesforce admin before production migration to grant the migration user the Bulk API permission set and to either disable blocking validation rules temporarily or extend them with a migration-context bypass. Skipping this step typically results in 5-20 percent record rejection on the first import pass, requiring a correction cycle before re-import.

Migration approach

Six steps for a successful Sales Flow Technologies to Salesforce Sales Cloud data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Sales Flow Technologies logo

Sales Flow Technologies

Source

Strengths

  • Multichannel sequencing across LinkedIn, Email, and InMail in a single workflow builder.
  • Volume-tiered pricing rewards team growth with per-seat discounts down to $25 at 100 seats.
  • Native CSV import and export for Contacts, making data portable without API complexity.
  • LinkedIn Sales Navigator sync enables direct pull of existing prospect data into the platform.
  • Unified Inbox separates outreach messages from regular email, keeping rep context clean.

Weaknesses

  • No native pipeline management or deal-stage tracking—purely an outreach tool.
  • LinkedIn automation carries inherent platform risk as LinkedIn updates its usage policies frequently.
  • Advanced features (API, white-label, advanced analytics) are gated behind higher-tier plans.
  • Workflow automation logic is not exportable, requiring manual reconstruction in new tools.
  • Support responsiveness varies; some users report delays when glitches disrupt active campaigns.
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?

Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Sales Flow Technologies and Salesforce Sales Cloud.

  • Object compatibility

    B

    1 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

    Sales Flow Technologies: Not publicly documented — typical SaaS limits assumed and confirmed during scoping.

  • Data volume sensitivity

    B

    Sales Flow Technologies doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Sales Flow Technologies 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 Sales Flow Technologies to Salesforce Sales Cloud data migrations

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

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Most migrations land between four and six weeks for accounts under 15,000 Contacts with clean Prospect List structure and no engagement history reconstruction. Migrations with full engagement history (over 200,000 sequence step records), large Prospect Lists, multi-user Team configurations, or Salesforce Sandbox pre-validation before production cutover move to eight to twelve weeks because of Bulk API chunking time, sequence cadence documentation, and Workflow Reconstruction Summary delivery.

Adjacent paths

Related migrations to explore

Ready when you are

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