CRM migration

Migrate from Sales Flow Technologies to Pipedrive

Field-level mapping, validation, and rollback between Sales Flow Technologies and Pipedrive. We move data and schema; workflows are rebuilt natively in Pipedrive.

Sales Flow Technologies logo

Sales Flow Technologies

Source

Pipedrive

Destination

Pipedrive logo

Compatibility

75%

9 of 12

objects map 1:1 between Sales Flow Technologies and Pipedrive.

Complexity

BStandard

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Sales Flow Technologies is an outreach-first platform centered on LinkedIn automation, sequenced campaigns, and multichannel cadence management. Pipedrive is a sales-first CRM centered on pipeline management, deal stages, and activity tracking against Opportunities. These are fundamentally different data models, and the migration requires decisions that shape the destination system long after cutover. We map Sales Flow Contacts to Pipedrive People and Organizations, preserving LinkedIn profile URLs and custom field data. Prospect Lists become Pipedrive tags for grouping and filtering. Sequence step ordering migrates as structured deal activity notes so reps can see the cadence history against each Opportunity. Workflow conditional branching logic does not export via CSV or API; we produce a written Workflow Migration Summary documenting every conditional rule and timing interval for the customer's admin to rebuild in Pipedrive's automation builder. Inbox messages live on LinkedIn's infrastructure and cannot be extracted. Engagement metrics (open rates, reply rates, connection acceptance rates) migrate as structured CSV but lack native Pipedrive equivalents; they are imported as custom fields for reporting reference.

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

Pipedrive logo

Pipedrive

What's pulling them in

  • Clean drag-and-drop pipeline interface with minimal learning curve, making it approachable for small sales teams without dedicated CRM admins.
  • Visual deal tracking keeps reps focused on next actions — activities, calls, and follow-up tasks surface directly in the pipeline view.
  • Strong integrations via Zapier and native marketplace apps let teams wire Pipedrive into Calendly, ActiveCampaign, and similar sales-stack tools.
  • Mobile apps for iOS and Android keep field reps connected to deals, contacts, and tasks without a desktop session.
  • Reputation and review volume — over 3,000 verified reviews across G2 and Capterra — signal reliability for teams evaluating CRM options.

Object mapping

How Sales Flow Technologies objects map to Pipedrive

Each row shows how a Sales Flow Technologies object lands in Pipedrive, 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

Pipedrive

Person + Organization

1:many
Fully supported

Sales Flow Contacts map to Pipedrive Person records as the primary contact object. Company data from the Contact record (company name, domain, industry) splits into a separate Pipedrive Organization record with a Person-Organization link. Email, phone, LinkedIn profile URL, and custom fields migrate as Person fields. This split is necessary because Pipedrive separates individual contacts from the business entities they belong to, and creating the Organization first resolves the lookup dependency at Person insert time.

Sales Flow Technologies

Prospect List

maps to

Pipedrive

Tag

lossy
Fully supported

Sales Flow Prospect Lists are named groupings of Contacts used for targeted outreach campaigns. We export list membership as a structured CSV with Contact email and list name, then create Pipedrive Tags corresponding to each list name. When Persons are created during migration, tag assignment is resolved by email match so the grouping is immediately available for filtering and segmenting in Pipedrive's pipeline view. List ordering within Sales Flow does not transfer as Pipedrive does not support ordered tags.

Sales Flow Technologies

Outreach Sequence

maps to

Pipedrive

Deal Activity Notes

1:1
Fully supported

Sales Flow Sequences define the cadence and channel steps (LinkedIn connection request, follow-up email, InMail, delay intervals) for a group of Contacts enrolled in a campaign. Sequence step ordering and timing data migrate as structured activity notes on the related Pipedrive Deal or Person. Each step becomes a chronological note entry with step type, template reference, and days-since-previous-step preserved. The step ordering provides rep context on prospect engagement history without replicating the cadence as an active Pipedrive automation.

Sales Flow Technologies

Campaign

maps to

Pipedrive

Deal

1:1
Fully supported

Sales Flow Campaigns bundle multiple Sequences under a single outreach objective. We map Campaign names to Pipedrive Deal names, Campaign-level date ranges to Deal expected_close_date or custom date fields, and Campaign status to Deal stage. The Deals represent the business outcomes (a deal, a project, a renewed contract) that the outreach sequences were designed to move. Channel routing logic and A/B testing configurations do not transfer as Pipedrive does not model these concepts natively.

Sales Flow Technologies

Workflow

maps to

Pipedrive

(documentation only)

lossy
Fully supported

Sales Flow Workflows define conditional branching logic for prospect responses and follow-up actions (e.g., 'if no reply after 3 days, send template B'). The workflow builder configuration is not exposed via CSV or API and cannot be extracted programmatically. We produce a written Workflow Migration Summary documenting every conditional rule, step order, delay interval, and trigger condition from the source system so the customer's admin can manually reconstruct equivalent automation in Pipedrive's Workflow Automation builder. This is the most significant scope item that does not result in migrated data.

Sales Flow Technologies

Engagement: Email

maps to

Pipedrive

Activity (note-type)

1:1
Fully supported

Sales Flow email engagement records migrate as Activity records in Pipedrive linked to the Person or Deal. Email subject, body content, and sent timestamp transfer as structured activity entries. Inbound email content may be incomplete if the thread is stored on a connected email provider rather than Sales Flow. We flag any engagement records where email_body is null or truncated in the source export as partial records requiring manual review.

Sales Flow Technologies

Engagement: Call

maps to

Pipedrive

Activity (call subtype)

1:1
Fully supported

Sales Flow call engagement records migrate as Pipedrive Activities with activity type set to Call. Call duration, disposition, and any notes logged in Sales Flow transfer to corresponding fields on the Pipedrive Activity. We resolve the Person link by email match and the Deal link by the enrollment record associated with the call.

Sales Flow Technologies

Engagement: Meeting

maps to

Pipedrive

Activity (meeting subtype)

1:1
Fully supported

Sales Flow meeting engagement records migrate as Pipedrive Activities with activity type set to Meeting. Meeting title, date and time, duration, and location transfer to the corresponding fields. Attendee information from Sales Flow migrates as a note entry on the Activity if the attendee email addresses can be resolved to existing Person records in the destination.

Sales Flow Technologies

Engagement: Note

maps to

Pipedrive

Note

1:1
Fully supported

Sales Flow note engagements migrate as Pipedrive Note records linked to the Person, Organization, or Deal. Note content, author, and timestamp transfer directly. We resolve the parent record link using the email address and company name fields on the source note record. Notes without a resolvable parent record are held in a reconciliation queue for the customer's admin to resolve before final import.

Sales Flow Technologies

Analytics Metrics

maps to

Pipedrive

Custom Fields (Person + Deal)

1:1
Mapping required

Sales Flow provides per-sequence and per-step open rates, reply rates, and connection acceptance rates. These metrics have no native equivalent in Pipedrive's standard object model. We export the metrics as a structured CSV and import them as custom fields on the Person object (e.g., sequence_open_rate__c, sequence_reply_rate__c) and Deal object (e.g., campaign_connection_rate__c). These custom fields appear in Pipedrive's reporting for reference but do not drive any native Pipedrive automation or scoring logic.

Sales Flow Technologies

User Account

maps to

Pipedrive

User

1:1
Fully supported

Sales Flow User accounts define who on the team is running outreach and are mapped to Pipedrive User records by email address match. Role labels (Admin, Standard) from Sales Flow do not transfer as Pipedrive role and permission set assignments are a separate administrative configuration step. We flag any Sales Flow User without a matching email in the destination for the customer's admin to provision before the final import phase.

Sales Flow Technologies

Inbox Messages

maps to

Pipedrive

(not supported)

1:1
Not supported

Sales Flow Inbox messages represent the conversation thread between the rep and the prospect across LinkedIn and email. These messages are stored in LinkedIn's infrastructure and are not accessible via Sales Flow export. LinkedIn conversation history cannot be retrieved through any export path. We document this gap in the migration scope and advise the customer to retain access to the original LinkedIn account for reference during a defined transition window. No equivalent import is possible in Pipedrive.

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

Pipedrive logo

Pipedrive gotchas

High

Custom field hash keys differ per account

High

Export access gated by visibility groups

Medium

Token-based API rate limits since December 2024

Medium

Sequences and Automations not exposed via REST API

Low

Cost escalates via workflow caps and add-ons

Pair-specific challenges

  • Workflow logic does not export and requires manual rebuild

    Sales Flow workflow builder configurations that route prospects through conditional branches (reply-based routing, time-delayed follow-ups, A/B variants) live in the application's state and are not exposed via CSV or API. We do not migrate them as code. We produce a written Workflow Migration Summary documenting every conditional rule, step order, and delay interval from the source system so the customer's admin can rebuild equivalent automation in Pipedrive's Workflow Automation builder. Teams consistently underestimate the number of active workflow rules accumulated over time; we recommend the customer run a full workflow audit before scoping begins.

  • LinkedIn inbox and connection messages are inaccessible

    Sales Flow Inbox messages are stored on LinkedIn's infrastructure and cannot be extracted via Sales Flow export. When contacts and companies migrate to Pipedrive, the LinkedIn conversation threads remain on LinkedIn. We flag this gap clearly in the migration scope and recommend the customer maintain access to the original LinkedIn Sales Navigator account for a defined transition period. There is no workaround; LinkedIn does not expose conversation data via third-party API.

  • CSV export truncates activity timestamps

    Sales Flow's standard CSV export omits or truncates certain timestamp fields including last activity date, sequence step completion timestamps, and campaign enrollment dates. We request the Advanced Analytics CSV export as a complement to the standard export and merge the two datasets to reconstruct the most complete activity timeline possible. Records where timestamp data is entirely absent are flagged as partial and imported with the available date fields; no artificial timestamps are generated to fill gaps.

  • Sequence cadence data requires manual structuring in Pipedrive

    Sales Flow Sequence step ordering and timing intervals (e.g., Step 1: LinkedIn connection request, Day 0; Step 2: Follow-up email, Day 3; Step 3: InMail, Day 7) migrate as structured activity notes on Pipedrive Deals and Persons. This preserves the cadence history but does not create active automation in Pipedrive. The customer's admin must decide whether to rebuild the cadence as a Pipedrive Workflow Automation or to treat the migrated sequence notes as read-only historical reference. We do not activate cadence automation as part of standard migration scope.

  • Agency plan required for API-based export

    Sales Flow API access is gated behind the Agency tier ($29.98/seat at 50+ seats). Teams on Basic, Starter, or Pro plans can only export via CSV, which limits the richness of data available for migration. We use the CSV endpoint for all non-Agency migrations, supplement with the Advanced Analytics CSV where accessible, and warn customers if their dataset exceeds CSV row limits. If the customer requires API-level export for richer data, we advise upgrading to Agency or above before migration begins.

Migration approach

Six steps for a successful Sales Flow Technologies to Pipedrive data migration

  1. Discovery and data export preparation

    We audit the Sales Flow account across plan tier, contact volume, active sequences, active campaigns, workflow count, prospect list count, and engagement history volume. We determine the export method available (API if Agency tier, CSV otherwise) and identify any timestamp gaps in the standard export that require the Advanced Analytics CSV supplement. The discovery output is a written migration scope document covering record counts per object, export method, and known data gaps requiring customer acknowledgment before export begins.

  2. Data export and initial quality review

    We extract data from Sales Flow using the available export method (CSV for non-Agency plans, CSV plus Advanced Analytics CSV for richer timestamps). We run an initial quality review identifying duplicate contacts, missing required fields for Pipedrive import (email required for Person, company name required for Organization), and records where timestamp data is absent. We produce a data quality report for the customer's review and recommend a deduplication pass before import begins.

  3. Pipedrive workspace setup

    We configure the Pipedrive workspace before any data import. This includes creating custom fields to receive Sales Flow custom field data and engagement metrics (sequence open rates, reply rates), setting up the initial pipeline with stages mapped to the most common Sales Flow campaign objectives, and creating Pipedrive User accounts for each active Sales Flow User with role and permission set assignments noted for the customer's admin to complete. We recommend creating a test pipeline separate from the production pipeline for initial validation.

  4. Organization and Person import

    We run the import in dependency order with Organizations created before Persons to satisfy the lookup relationship. Each Contact from Sales Flow generates one Organization (from the company field) and one Person (from the contact fields) with the Organization-Person link resolved by company name match. Prospect List membership is resolved by email match and applied as Tags on the Person record at import time. Any Persons without a resolvable Organization are held in a reconciliation queue.

  5. Deal and engagement history import

    We import Sales Flow Campaigns as Pipedrive Deals with campaign names, date ranges, and status mapped to deal fields. Sequence step ordering and timing data import as structured Activity notes on each Deal and related Person. Email, call, meeting, and note engagements from Sales Flow import as corresponding Pipedrive Activities linked to the resolved Person and Deal. Analytics metrics import as custom field values on the Person and Deal records. We run row-count reconciliation after each phase and flag any records that failed import with error reasons.

  6. Workflow Migration Summary delivery and cutover

    We deliver the Workflow Migration Summary documenting every Sales Flow workflow conditional rule, step order, delay interval, and trigger condition with a recommended Pipedrive Workflow Automation equivalent. We freeze Sales Flow writes during a defined cutover window, run a final delta migration of any records modified during the migration window, then enable Pipedrive as the system of record. We support a one-week hypercare window resolving reconciliation issues. We do not rebuild Sales Flow workflows as Pipedrive automations inside the standard migration scope; that is a separate configuration engagement.

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.
Pipedrive logo

Pipedrive

Destination

Strengths

  • Intuitive drag-and-drop pipeline that sales reps actually use without resistance or training overhead.
  • Per-seat unlimited-deals model on all tiers — reps cannot be blocked from logging activity.
  • Active marketplace with 400+ integrations and a documented REST API with OpenAPI 3 specs.
  • Mobile apps with offline access, call logging, and calendar sync keep field teams operational.
  • Strong focus on sales activity tracking — next-action reminders and follow-up scheduling are first-class features.

Weaknesses

  • No custom objects — teams needing non-standard data structures must work around the four standard entity types.
  • Workflow automation limits by tier (30, 60, 90 active workflows) force upgrades as processes grow.
  • No free permanent plan — teams evaluating fit must commit to a trial without a freemium option.
  • Limited advanced reporting and custom dashboard capabilities compared to HubSpot or Salesforce.
  • Export permissions are gated by visibility groups, meaning data scoping must account for who can see what before migration.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 Pipedrive.

  • Object compatibility

    B

    3 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 Pipedrive 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 Pipedrive data migrations

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

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Most migrations land between two and four weeks for accounts under 10,000 Contacts and a single active pipeline. Migrations with large engagement histories (over 100,000 activity records), multiple active Sequences requiring structured activity note creation, or extensive workflow documentation requirements move to five to eight weeks because of engagement timeline reconstruction and Workflow Migration Summary production. The timeline also depends on data quality—if significant deduplication or field cleanup is required before import, additional scoping time may be needed.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Sales Flow Technologies.
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