CRM migration
Field-level mapping, validation, and rollback between Sales Flow Technologies and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.
Sales Flow Technologies
Source
Odoo CRM
Destination
Compatibility
11 of 13
objects map 1:1 between Sales Flow Technologies and Odoo CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Sales Flow Technologies is a LinkedIn-native outreach and multichannel sequencing tool—it manages Contacts, Prospect Lists, Email-LinkedIn-InMail Campaigns, and conditional Workflows, but it has no native pipeline management, deal-stage tracking, or custom object capability. Odoo CRM is the sales module of a modular open-source ERP ecosystem that includes native pipeline management, Lead-to-Opportunity conversion, real-time reporting, and tight integration with Odoo Sales, Accounting, and Inventory. This migration moves a team from a pure outreach layer into a full CRM with deal lifecycle management. The core challenge is that Sales Flow Workflows and conditional branching logic do not export via CSV or API, so we document every conditional rule and step timing for the customer's team to rebuild in Odoo's Action Rules or Studio. Activity timestamps are frequently truncated in the standard Sales Flow CSV export; we request the Advanced Analytics CSV to supplement and reconstruct a complete engagement timeline in Odoo.
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 Odoo 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
Odoo CRM
Lead or Contact (split by prospect qualification)
1:manySales Flow Contacts map to Odoo CRM Lead for unqualified prospects and Contact (attached to a Company/Partner) for qualified contacts. We use the Sales Flow Contact's Prospect List membership and any sequence enrollment status to determine qualification: Contacts enrolled in at least one Sequence map to Odoo Lead for re-qualification in the new system; Contacts with confirmed meeting or reply engagements map to Odoo Contact under a Partner record. Custom fields (LinkedIn URL, role, company) migrate to custom fields on both Lead and Partner.
Sales Flow Technologies
Company
Odoo CRM
Partner (res.partner)
1:1Sales Flow Contact company records map to Odoo res.partner records of type company. The company domain becomes the partner Website field. Parent-company and subsidiary relationships in Sales Flow export become contact hierarchy in Odoo Partner. If Sales Flow exports company revenue or employee count, those become custom fields on the res.partner record.
Sales Flow Technologies
Prospect List
Odoo CRM
Tag (ir.attachments tag or custom group)
1:1Sales Flow Prospect Lists are named groupings of Contacts. We export list membership as a dedicated column in the Contact CSV and recreate each list as an Odoo Tag (fleet_management.tag model used for CRM tagging). Tags attach to both Lead and Partner records, preserving the list membership context for segmentation and campaign targeting. Customers choosing Odoo Studio configure dedicated CRM Groups as an alternative to Tags.
Sales Flow Technologies
Outreach Sequence
Odoo CRM
CRM Tag Sequence Step + Note
1:1Sales Flow Sequences define the cadence and channel steps (LinkedIn connection, follow-up email, InMail) for a group of Contacts. Sequence step ordering and timing data are exported as a structured CSV and reconstructed in Odoo as a Tag-based naming convention (e.g., 'SEQ-Email-FollowUp-Day3') plus a detailed Step Inventory document listing every step, its delay, channel, and template reference. The cadence logic itself cannot be automated in Odoo CRM without a third-party sales engagement integration; the Step Inventory documents the intended cadence for manual or third-party implementation.
Sales Flow Technologies
Campaign
Odoo CRM
CRM Team + Tag
1:1Sales Flow Campaigns bundle multiple Sequences under a single objective. Campaign names and associated Sequences migrate as Odoo CRM Team records (odoo crm.team) with a descriptive tag that links back to the original Sales Flow campaign. Reporting date ranges from Sales Flow Campaign migrate as note fields on the CRM Team. Channel routing logic and A/B testing configurations do not transfer and are flagged in the Automation Inventory document.
Sales Flow Technologies
Workflow
Odoo CRM
Action Rule documentation (manual rebuild)
lossySales Flow Workflows define conditional branching logic for prospect responses (e.g., 'if no reply after 3 days, send template B'). The workflow builder configuration is not exposed via CSV or API. We produce a detailed Workflow Migration Summary documenting every conditional rule, step order, and timing for the customer's team to manually reconstruct using Odoo CRM Action Rules (crm.lead.create or crm.lead.assign actions) or Odoo Studio. This is the highest-impact documentation deliverable in this migration.
Sales Flow Technologies
Engagement: Email
Odoo CRM
Mail Message (mail.message) on Lead or Partner
1:1Sales Flow email engagement history migrates to Odoo mail.message records linked to the parent Lead or Partner. Email subject, body content, and timestamp transfer. Delivery status and open/click tracking data from Sales Flow migrate as custom fields on the mail.message record since Odoo CRM does not natively track email engagement metrics. We merge the standard CSV export with the Advanced Analytics CSV to reconstruct the complete timeline when timestamps are truncated.
Sales Flow Technologies
Engagement: LinkedIn Connection
Odoo CRM
Note (crm.lead note)
1:1LinkedIn connection requests sent through Sales Flow are documented as CRM Lead notes with a structured label (e.g., 'LinkedIn Connection Sent—[date]—[prospect name]'). Connection acceptance status from Sales Flow migrates as a custom boolean field on the Lead or Partner. LinkedIn conversation content lives in LinkedIn's infrastructure and is not accessible via Sales Flow export; we flag this gap and recommend LinkedIn Sales Navigator sync as a post-migration data enrichment step.
Sales Flow Technologies
Engagement: Call
Odoo CRM
CRM Lead Log Note or Meeting
1:1Sales Flow call engagement records (call disposition, duration) migrate to Odoo CRM Lead notes with structured labels and a custom call_duration_minutes field. If the Sales Flow export includes call recording URLs, those attach as URL fields on the Lead. Call history is documented as note entries rather than native Odoo call records because Odoo CRM does not have a standalone call log object without Service Cloud or a third-party telephony integration.
Sales Flow Technologies
Engagement: Meeting
Odoo CRM
Calendar Event (calendar.event)
1:1Sales Flow meeting engagements (calendar invite, attendee, location) map to Odoo calendar.event records linked to the parent Lead or Partner via event.partner_ids (EventRelation). Meeting outcome notes from Sales Flow migrate as a note on the calendar event. Recurring meeting series in Sales Flow are documented as a separate Meeting Series Inventory with the recurrence pattern for manual rebuild in Odoo Calendar or a third-party scheduling integration.
Sales Flow Technologies
Engagement: InMail
Odoo CRM
Note (crm.lead note)
1:1LinkedIn InMail sent through Sales Flow sequences migrates as Lead notes with a structured label (e.g., 'LinkedIn InMail Sent—[date]'). InMail template reference migrates as a custom field. Response rate data from Sales Flow Analytics migrates as a custom field on the Lead. InMail content is not stored in Sales Flow's infrastructure in a retrievable format beyond the sequence enrollment record.
Sales Flow Technologies
Analytics Metrics
Odoo CRM
Custom Metric Fields on Lead
1:1Sales Flow per-sequence and per-step open rates, reply rates, and connection acceptance rates are exported from the Analytics CSV and migrated as custom fields on the Odoo Lead model (e.g., sf_sequence_open_rate__c, sf_connection_accept_rate__c). These are informational fields—the customer's team uses them for reference but cannot trigger Odoo automations from them without custom development. Odoo's native CRM reporting (Pipeline Analysis, win/loss reporting) does not have equivalents to these outreach-specific metrics.
Sales Flow Technologies
User Account
Odoo CRM
User (res.users)
1:1Sales Flow User accounts (Admin, Standard roles) map to Odoo res.users. We match by email address. Any Sales Flow Owner without a matching Odoo User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Role labels (Admin, Standard) map to Odoo access rights groups (CRM / Sales / Administrator) in Odoo Access Controls.
| Sales Flow Technologies | Odoo CRM | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split by prospect qualification)1:many | Fully supported | |
| Company | Partner (res.partner)1:1 | Fully supported | |
| Prospect List | Tag (ir.attachments tag or custom group)1:1 | Fully supported | |
| Outreach Sequence | CRM Tag Sequence Step + Note1:1 | Fully supported | |
| Campaign | CRM Team + Tag1:1 | Fully supported | |
| Workflow | Action Rule documentation (manual rebuild)lossy | Fully supported | |
| Engagement: Email | Mail Message (mail.message) on Lead or Partner1:1 | Fully supported | |
| Engagement: LinkedIn Connection | Note (crm.lead note)1:1 | Fully supported | |
| Engagement: Call | CRM Lead Log Note or Meeting1:1 | Fully supported | |
| Engagement: Meeting | Calendar Event (calendar.event)1:1 | Fully supported | |
| Engagement: InMail | Note (crm.lead note)1:1 | Fully supported | |
| Analytics Metrics | Custom Metric Fields on Lead1:1 | Mapping required | |
| User Account | User (res.users)1:1 | 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
Odoo CRM gotchas
Odoo.sh version gating blocks assisted migrations from trial
Enterprise modules fail to install on Community after database restore
Custom module view inheritance breaks between Odoo major versions
Custom fields risk losing their application context on Community
API access for Community is gated behind the Custom Plan
Pair-specific challenges
Migration approach
Discovery and Sales Flow tier assessment
We audit the source Sales Flow portal across tier (Basic/Starter/Pro/Agency/Enterprise), seat count, active Sequences, active Workflows, Prospect List count, engagement volume, and CSV export history. We determine whether the Advanced Analytics CSV is accessible for the account (Starter tier minimum). We pair this with an Odoo edition assessment: Odoo Community (free, self-hosted) for technical teams; Odoo.sh (Odoo-hosted, with version management) for teams without DevOps; Odoo Enterprise for teams requiring official support SLAs and mobile apps. The discovery output is a written migration scope, a data inventory listing every object and volume, and an Odoo edition recommendation.
Odoo schema design and Lead-Opportunity configuration
We design the destination schema in Odoo. This includes custom fields on crm.lead (Lead) and res.partner (Contact/Company) to receive Sales Flow's LinkedIn URL, role, sequence enrollment, and analytics metric fields. We configure the Odoo CRM pipeline: stage names, stage probabilities, and win/loss reasons mapped from Sales Flow Deal pipeline terminology. CRM Teams are provisioned per Sales Flow user or per business unit. The Lead-to-Opportunity conversion action is configured with the correct team assignment and stage defaults. Schema is deployed to an Odoo Sandbox or test database for customer validation before production migration.
CSV export and data quality audit
We run the Sales Flow CSV export (standard + Advanced Analytics complement) for Contacts, Prospect Lists, Sequences, Campaigns, and engagement history. We audit for duplicates (Contacts with identical email addresses), incomplete records (Contacts missing email or company), and inconsistent date formats. Data quality issues are documented with a record-count impact estimate. We request the customer to resolve duplicates and enrich incomplete records before migration to avoid Odoo import failures. Prospect List membership is verified against the Contact CSV list membership column.
Workflow Migration Summary and Sequence Step Inventory
We produce the Workflow Migration Summary by reviewing every active Sales Flow Workflow, documenting its trigger conditions (sequence enrollment, reply received, link clicked, etc.), conditional branches, step order, and timing delays. We produce the Sequence Step Inventory listing every active Sequence, its step order, channel (Email/LinkedIn/InMail), delay between steps, and template reference. Both documents are delivered in a structured format that the customer's Odoo admin or implementation partner can use to configure Odoo CRM Action Rules or Studio automations post-migration. This step is the highest-value non-data deliverable and requires the customer's input on which Workflows were active versus archived.
Owner and User reconciliation
We extract every distinct Sales Flow Owner referenced on Contact, Prospect List, Sequence, and Campaign records and match by email against the Odoo destination's res.users table. Owners without a matching Odoo User go to a reconciliation queue. The customer's Odoo admin provisions any missing Users (active status mapped from Sales Flow user active/inactive) and assigns the correct access rights groups. Migration cannot proceed past this step because every Odoo record requires an Owner (user_id) reference.
Production migration in dependency order
We run production migration in record-dependency order: Partners (from Sales Flow company records), Leads (from Sales Flow Contacts with prospect qualification applied), Tags (recreating Prospect Lists), Sequence Step Inventory records (as Lead notes), engagement history (Email, LinkedIn, InMail metadata as Lead notes via Odoo XML-RPC API), Calendar events (from Sales Flow meeting engagements), Analytics metrics (as custom Lead fields), and Campaigns (as CRM Teams with tags). Each phase emits a row-count reconciliation report before the next phase begins. The Odoo XML-RPC API is used for all standard object inserts with exponential backoff on rate-limit responses.
Cutover, validation, and automation rebuild handoff
We freeze Sales Flow writes during cutover, run a final delta migration of any records modified during the migration window, then enable Odoo as the system of record. We deliver the Workflow Migration Summary and Sequence Step Inventory to the customer's admin team with a walkthrough session. We support a one-week hypercare window where we resolve any record-level reconciliation issues raised by the customer's team. We do not rebuild Sales Flow Workflows or Sequences as Odoo Action Rules inside the migration scope; that is a separate engagement or an internal admin task. Post-migration LinkedIn re-engagement cadences should follow reduced automation density on any active LinkedIn accounts to avoid triggering LinkedIn's automated-behavior detection.
Platform deep dives
Sales Flow Technologies
Source
Strengths
Weaknesses
Odoo CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Sales Flow Technologies and Odoo CRM.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Sales Flow Technologies and Odoo CRM.
Object compatibility
All 8 core objects map 1:1 between Sales Flow Technologies and Odoo 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
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