CRM migration

Migrate from Sales Flow Technologies to monday CRM

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 logo

Sales Flow Technologies

Source

monday CRM

Destination

monday CRM logo

Compatibility

75%

6 of 8

objects map 1:1 between Sales Flow Technologies and monday CRM.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

monday CRM logo

monday CRM

What's pulling them in

  • Users praise the board-based visual interface for making pipeline stages immediately legible to non-technical team members without CRM training.
  • The no-code automation builder lets sales ops teams create lead routing, stage updates, and email triggers without developer involvement.
  • Integration ecosystem connects to Slack, Gmail, Outlook, and Zapier with minimal configuration, reducing friction for teams already using these tools.
  • The flexible column system lets teams build custom CRM views — deal value, close date, lead source — without needing a developer or pre-defined schema.
  • Teams already using monday Work Management can layer CRM features onto existing boards rather than starting from scratch.

Object mapping

How Sales Flow Technologies objects map to monday CRM

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

maps to

monday CRM

People CRM Contact

1:1
Fully supported

Sales 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

maps to

monday CRM

Tags

1:1
Fully supported

Sales 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

maps to

monday CRM

Process Documentation

lossy
Mapping required

Sales 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

maps to

monday CRM

Boards

1:1
Mapping required

Sales 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

maps to

monday CRM

Deal

1:1
Fully supported

If 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

maps to

monday CRM

Automation Recipes (rebuild required)

lossy
Mapping required

Sales 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

maps to

monday CRM

Dashboard Widgets

1:1
Mapping required

Sales 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

maps to

monday CRM

Users

1:1
Fully supported

Sales 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.

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

monday CRM logo

monday CRM gotchas

High

Subitems are not included in bulk exports

High

Daily API call limits vary sharply by plan

Medium

Legacy automations (Sentence Builder) are being deprecated

Medium

Excel and account exports only include table views

Low

Enterprise admins can disable non-admin exports

Pair-specific challenges

  • LinkedIn engagement data does not transfer to Monday.com

    Sales Flow tracks LinkedIn connection requests, InMail messages, and engagement history tied to the rep's LinkedIn account. This data lives in LinkedIn's infrastructure, not Sales Flow's export. We cannot migrate InMail content, connection acceptance timestamps, or LinkedIn profile views that occurred through Sales Flow sequences. The activity timeline in Monday.com will show email activity and manual entries only; LinkedIn history must be reconstructed from LinkedIn's own data export if needed.

  • Monday.com automations are recipe-based and require manual rebuild

    Sales Flow Workflows with conditional branching logic ('if no reply after 3 days, send template B') are not exportable and have no direct Monday.com equivalent. Monday.com Automations use trigger-action recipes with simpler conditional logic. We document every Sales Flow workflow in a Workflow Migration Summary, but the rebuild is manual post-migration work. Teams should budget 2-4 weeks of admin time to reconstruct complex sequences as Monday Automations, particularly those with multi-branch conditions or time-window rules.

  • Monday board column types constrain contact record schema

    Monday.com's contact records use a fixed schema with standard fields (name, email, phone, company, LinkedIn URL, address) plus configurable columns. If the Sales Flow CSV export includes custom fields that do not map cleanly to Monday column types (text, number, date, dropdown, checkbox, person, file), we must either map them to a text column or create a custom board for extended contact attributes. This adds mapping complexity for teams with more than ten custom fields in Sales Flow.

  • Sales Flow CSV exports truncate activity timestamps

    The standard CSV export from Sales Flow omits or truncates last activity dates and sequence step completion timestamps. We request the Advanced Analytics CSV export as a complement to the standard Contact export, merge both datasets, and reconstruct the activity timeline before importing into Monday. If the Advanced Analytics export is unavailable (non-Agency tier), we flag the missing timestamp fields and proceed with the data that is available, noting the gap in the migration report.

  • Monday.com automations have reliability gaps reported by users

    User reviews on Reddit and productivity forums report that Monday.com automations sometimes fail to trigger, particularly for time-based triggers and cross-board dependencies. During migration, we design automations to minimize reliance on complex cross-board triggers and include a verification checklist in the handoff document. The customer should monitor automation execution during the first two weeks post-migration and test each rebuilt workflow before activating it in production.

Migration approach

Six steps for a successful Sales Flow Technologies to monday CRM data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

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.
monday CRM logo

monday CRM

Destination

Strengths

  • Board-based UI makes pipeline stages and deal progress visually obvious without training.
  • No-code automation builder requires no developer resources to create lead routing and stage-triggered actions.
  • Flexible column system supports custom CRM fields without schema changes or admin involvement.
  • Integrates natively with Slack, Gmail, Outlook, and Zapier with minimal configuration overhead.
  • Layered product means teams already on monday Work Management can add CRM without migrating existing data.

Weaknesses

  • No native Contacts object separate from Items — contacts are managed inside a CRM module's People feature.
  • Pipeline and deal relationships use a flat item model rather than a relational object model, making complex CRM associations awkward.
  • Automations are plan-gated (250 actions/month on Standard, 25,000 on Pro) and the legacy Recipe system is being deprecated.
  • Customization and advanced views (Chart, Formula, Dependency) are locked behind Pro and Enterprise tiers.
  • Per-seat pricing with non-refundable annual billing creates cost lock-in risk during migration.

Complexity grading

How hard is this migration?

Standard CRM migration. All 8 core objects map 1:1 between Sales Flow Technologies and monday CRM.

B

Overall complexity

Standard migration

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

  • Object compatibility

    A

    All 8 core objects map 1:1 between Sales Flow Technologies and monday CRM.

  • 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 monday CRM 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 monday CRM data migrations

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

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Migrations under 5,000 Contacts with straightforward data (clean CSVs, no complex workflows) land between two and four weeks. Migrations with large contact volumes (over 20,000), many custom fields, multiple Prospect Lists requiring tag taxonomy design, or complex sequence step ordering that must be documented extend to five to eight weeks. Monday.com board schema design and test migration validation add time before production cutover begins.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Sales Flow Technologies.
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