CRM migration
Field-level mapping, validation, and rollback between Sales Flow Technologies and monday CRM. We move data and schema; workflows are rebuilt natively in monday CRM.
Sales Flow Technologies
Source
monday CRM
Destination
Compatibility
6 of 8
objects map 1:1 between Sales Flow Technologies and monday CRM.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Sales Flow Technologies is a LinkedIn-first outreach and sequencing platform with no native pipeline management. Monday.com CRM is a Work OS that can be configured as a sales CRM using boards, items, and columns. The migration is an outbound-to-pipeline re-platforming: we extract Contacts, Prospect Lists, Campaign associations, and sequence step ordering from Sales Flow, then map them into Monday.com as People CRM contacts, tag groups, deal boards with status columns, and activity timeline entries. LinkedIn engagement history and inbox messages live in LinkedIn's infrastructure and cannot migrate. Workflow automation logic in Sales Flow is not portable; we document every conditional rule in a Workflow Migration Summary for your team to rebuild in Monday.com Automations. Monday.com plans start at $12 per seat on Basic, making it materially less expensive than Sales Flow's $99/seat entry tier for teams under five users.
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 monday CRM, 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
monday CRM
People CRM Contact
1:1Sales Flow Contacts map to Monday.com People CRM contacts. Each Contact record carries name, company, role, email, LinkedIn URL, and custom fields from CSV export. We normalize the contact data during import, resolving duplicate email addresses via Monday's deduplication logic. LinkedIn URL migrates as a text field; the contact's company name maps to the Company field in Monday's People CRM. Any Sales Flow custom fields map to Monday column types (text, number, date, dropdown) on the contact record.
Sales Flow Technologies
Prospect Lists
monday CRM
Tags
1:1Sales Flow Prospect Lists are named groupings of Contacts used to segment outreach targets. We export these as CSV with list membership per Contact, then recreate list names as Tags in Monday.com People CRM. Contacts are tagged with all list memberships, preserving segmentation for campaign targeting. If the customer uses more than 50 tags, we group them under tag categories during migration to keep the taxonomy manageable.
Sales Flow Technologies
Outreach Sequences
monday CRM
Process Documentation
lossySales Flow Sequences define cadence and channel steps (LinkedIn connection request, follow-up email, InMail) per Contact group. We export the sequence step order, step type, timing delays, and template names as a structured CSV. Since Monday.com does not have a native sequence cadence feature, we create a Process Document in Monday that lists every sequence with its step order, channel, template, and delay. This serves as the reference document for the customer's team to rebuild sequences using Monday Automations with time-based triggers or follow-up recipes.
Sales Flow Technologies
Campaigns
monday CRM
Boards
1:1Sales Flow Campaigns bundle multiple Sequences under a single objective. We map Campaign names to Monday.com board names and preserve the associated Sequences and reporting date ranges. The Monday board is configured with a Status column mirroring the Campaign's funnel stages. A/B testing configurations and channel routing logic within Sales Flow do not transfer; these are documented in the Workflow Migration Summary for the team to evaluate rebuilding as separate boards or as automation variants.
Sales Flow Technologies
Campaign
monday CRM
Deal
1:1If the customer uses Sales Flow Campaigns to track deal-like records (which Sales Flow does not natively support but some teams simulate via custom fields), we map these to Monday.com Deals on the CRM board. The deal record includes the associated Contact, the estimated deal value from the source custom field, and a Status column reflecting the deal stage. Monday.com's deal pipeline view then gives the team the pipeline visibility that Sales Flow never provided.
Sales Flow Technologies
Workflows
monday CRM
Automation Recipes (rebuild required)
lossySales Flow Workflows define conditional branching logic for prospect responses and follow-up actions. The workflow builder configuration is not accessible via CSV or API export. We produce a Workflow Migration Summary that documents every active Workflow with its trigger conditions, conditional branches, step actions, and timing rules. The customer's team uses this document to rebuild each workflow as a Monday.com Automation using triggers (When item changes, When date arrives, When someone is added) and actions (Create item, Update column, Send notification). This is manual rebuild work outside migration scope.
Sales Flow Technologies
Analytics Metrics
monday CRM
Dashboard Widgets
1:1Sales Flow provides per-sequence open rates, reply rates, and connection acceptance rates exported as CSV. We import these as a read-only dataset into a Monday.com board or as a connected spreadsheet integration. Monday.com's native dashboards can display deal pipeline metrics and activity counts but do not natively replicate Sales Flow's outreach-specific engagement metrics. The customer may need to rebuild reporting dashboards that reference these metrics in Monday or a BI tool.
Sales Flow Technologies
User Accounts
monday CRM
Users
1:1Sales Flow User accounts (Admin, Standard roles) map to Monday.com User records. We map source User IDs to destination User emails and preserve role labels. Seat assignments are reconciled against Monday's per-seat plan. If the source team has more Users than the destination's current seat count, we flag the discrepancy for the customer to adjust the Monday subscription before migration.
| Sales Flow Technologies | monday CRM | Compatibility | |
|---|---|---|---|
| Contact | People CRM Contact1:1 | Fully supported | |
| Prospect Lists | Tags1:1 | Fully supported | |
| Outreach Sequences | Process Documentationlossy | Mapping required | |
| Campaigns | Boards1:1 | Mapping required | |
| Campaign | Deal1:1 | Fully supported | |
| Workflows | Automation Recipes (rebuild required)lossy | Mapping required | |
| Analytics Metrics | Dashboard Widgets1:1 | Mapping required | |
| User Accounts | Users1:1 | 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
monday CRM gotchas
Subitems are not included in bulk exports
Daily API call limits vary sharply by plan
Legacy automations (Sentence Builder) are being deprecated
Excel and account exports only include table views
Enterprise admins can disable non-admin exports
Pair-specific challenges
Migration approach
Discovery and data audit
We audit the Sales Flow export across all accessible tiers: Contact records via CSV (and Advanced Analytics CSV if available), Prospect Lists, Campaign names and associated Sequences, Workflow definitions (documented from screenshots or config screenshots provided by the customer), and User accounts. We assess the total contact volume, duplicate rate, custom field count, and workflow complexity to determine whether the migration qualifies as straightforward (under 5,000 Contacts, no complex workflows) or complex (large volume, many custom fields, complex sequence branching). We also inventory the current Monday.com workspace structure if one exists, or confirm a fresh CRM board setup with the customer.
Data cleaning and normalization
We clean the Sales Flow CSV export before import: deduplication by email address, phone number, or LinkedIn URL depending on which fields are populated; standardization of date formats, phone number formatting, and capitalization; and identification of any Contacts missing required fields (name and email are mandatory in Monday People CRM). We also split multi-value fields (Contacts that belong to multiple Prospect Lists) into Monday tag assignments. The cleaned dataset is validated against the source record count and signed off by the customer before import.
Monday.com CRM schema design
We design the Monday.com CRM board structure: a People CRM board for contacts with standard fields plus custom columns mapped from Sales Flow custom fields; a Deals board (or CRM pipeline view) with status columns mirroring the customer's deal stages; and a Prospect Lists board or tag taxonomy for list segmentation. If the customer has multiple sales processes, we configure multiple board views or sub-items. The tag taxonomy is designed to accommodate all Prospect Lists without exceeding Monday's recommended tag count per account.
Test migration and reconciliation
We run a test import into a Monday.com sandbox or a parallel board with sample data volume. We validate record counts (Contacts imported match source count minus duplicates), field accuracy (name, email, company, phone, LinkedIn URL on 25-50 random records), tag assignments (each Prospect List membership appears as a tag on the correct contacts), and deal board setup (if applicable). The customer reviews the test board and approves mapping corrections before production migration begins.
Production migration
We run production migration in dependency order: Users first (mapped to Monday Users), then Contacts with tag assignments, then Deals and pipeline data. Sequence step ordering and Campaign associations migrate as linked data (sequence name and step order attached to the Contact record as a text or multi-select field). The Workflow Migration Summary is delivered alongside the migration, listing every active Sales Flow workflow with its trigger, conditions, actions, and recommended Monday Automation equivalent. We run a final reconciliation comparing migrated record counts to the source audit baseline and flag any discrepancies.
Cutover and Workflow rebuild handoff
We freeze new writes to Sales Flow during cutover, run a final delta import of any records modified during the migration window, then mark Monday.com as the active CRM. We deliver the Workflow Migration Summary and an Automation rebuild guide for the customer's admin team. We support a three-day hypercare window to resolve any reconciliation issues raised during the first business days in the new system. We do not rebuild Sales Flow Workflows as Monday Automations inside the migration scope; that is a separate rebuild engagement or internal admin task.
Platform deep dives
Sales Flow Technologies
Source
Strengths
Weaknesses
monday CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Sales Flow Technologies and monday CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Sales Flow Technologies and monday CRM.
Object compatibility
All 8 core objects map 1:1 between Sales Flow Technologies and monday CRM.
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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