CRM migration

Migrate from Apollo ERP to Odoo CRM

Field-level mapping, validation, and rollback between Apollo ERP and Odoo CRM. We move data and schema; workflows are rebuilt natively in Odoo CRM.

Apollo ERP logo

Apollo ERP

Source

Odoo CRM

Destination

Odoo CRM logo

Compatibility

100%

12 of 12

objects map 1:1 between Apollo ERP and Odoo CRM.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Apollo ERP (Apollo.io) is a sales intelligence and engagement platform built around contacts, companies, and deals enriched with firmographic data, buying signals, and email sequencing. Its data model stores contacts with first name, last name, email, phone, title, and linked company; deals with name, amount, stage, close date, and owner; and custom contact/account/deal fields created through Apollo's API or UI. Apollo's sequences (automated email cadences) and engagement tracking are platform-native workflows with no structural equivalent in Odoo CRM. Odoo CRM uses a two-object model for the top of the funnel: crm.lead records can be flagged as either Lead or Opportunity via the type field, and the pipeline is organized by kanban stage columns tied to a crm.stage record per team. Contacts live in res.partner (with address, email, phone, website, and category fields); companies are also res.partner records distinguished by the is_company flag. Opportunities (crm.lead with type='opportunity') carry expected_revenue, partner_id (the customer account), and line_ids for sale order linking. Odoo's activity model uses mail.activity records linked to any res.model. We map Apollo contacts to res.partner (individual records), Apollo companies to res.partner (company records), and Apollo deals to crm.lead (opportunity type). Apollo's custom fields migrate as custom fields on res.partner (for contact/account fields) or crm.lead (for deal fields) using Odoo's ir.model.data / ir.model.fields mechanism. Activity history (calls, emails, meetings logged in Apollo) migrates as mail.message and mail.activity records. Apollo sequences and automation logic do not migrate — we export the sequence definitions as a structured JSON rebuild reference for Odoo automations, but the cadences must be rebuilt in Odoo using its mail.mass_mailing, mail.activity, and server-action tooling. Our migration engine reads Apollo via its REST API (respecting rate limits of 1,000 enrichments per hour on standard plans, higher on Organization tier). Data is transformed through a staging layer, validated against Odoo's required-field constraints (e.g., partner requires name and email or phone), then written via Odoo's XML-RPC/JSON-RPC API. A 24–48h delta window captures in-flight changes after the initial sync.

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

Apollo ERP logo

Apollo ERP

What's pushing teams away

  • Leave management module is reported to produce conflicts and inconsistencies, particularly around carry-forward rules and leave balance calculations.
  • Documentation and knowledge base articles are not kept current when system updates are released, forcing users to rely on support rather than self-service troubleshooting.
  • Outdated user interface and slow performance in certain workflows frustrate users accustomed to modern SaaS experiences.
  • Limited third-party integration ecosystem makes it difficult to connect Apollo ERP with best-of-breed tools for specific vertical needs.
  • Support response times and quality are inconsistent, particularly for complex configuration issues that require deep product knowledge.

Choosing

Odoo CRM logo

Odoo CRM

What's pulling them in

  • Teams choose Odoo CRM for its modular architecture — one base install with one-click app additions means they can adopt CRM alone and add accounting, inventory, or sales later as the business grows.
  • Small businesses pick Odoo because the Community edition is free and open-source, with no per-user or contact limits, allowing full evaluation before committing to a paid Enterprise tier.
  • The drag-and-drop Kanban pipeline and AI lead scoring are highlighted across G2 reviews as concrete features that make lead management faster and more visual than spreadsheet-based workflows.
  • Odoo's native integration with email, live chat, SMS, VoIP, and WhatsApp means inbound leads from multiple channels feed into a single pipeline without third-party middleware.
  • Companies in retail, supply chain, and construction value that Odoo's CRM module shares the same PostgreSQL database and UI as its ERP modules, eliminating data silos between sales and operations.

Object mapping

How Apollo ERP objects map to Odoo CRM

Each row shows how a Apollo ERP 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.

Apollo ERP

Contact

maps to

Odoo CRM

res.partner

1:1
Fully supported

Apollo contacts map to Odoo res.partner records with is_company=False. The partner's name is assembled from first_name and last_name (Apollo) into Odoo's display_name. Email, phone, mobile, title, and address fields map directly. If a contact has no email or phone, Odoo requires at least a name — we use the contact's full name as a fallback.

Apollo ERP

Company

maps to

Odoo CRM

res.partner (company)

1:1
Fully supported

Apollo companies map to Odoo res.partner records with is_company=True. The company name becomes display_name, domain becomes website, industry is stored as category_id (a many2many tag), and employee count is stored as employee_count (an integer field on partner). The company's address fields map to street, city, state_id, country_id, and zip on the partner record.

Apollo ERP

Contact-Company Association

maps to

Odoo CRM

res.partner (parent_id)

1:1
Fully supported

Apollo stores a primary_company_id on each contact. We map this to res.partner.parent_id — the individual contact's parent_id points to the company partner record. Apollo contacts without a primary company are migrated as standalone partners. Odoo enforces that child partners have a parent_id; contacts without a company are created without one and flagged for admin review.

Apollo ERP

Deal

maps to

Odoo CRM

crm.lead (opportunity)

1:1
Fully supported

Apollo deals map to Odoo crm.lead records where type='opportunity'. Deal name becomes name, amount becomes expected_revenue, close_date becomes date_deadline, stage maps via value_mapping to an Odoo crm.stage record, and owner resolved by email match to Odoo res.users records. Deals without an amount are migrated with expected_revenue=0 and stage=first_open_stage.

Apollo ERP

Deal Pipeline

maps to

Odoo CRM

crm.team + crm.stage

1:1
Fully supported

Apollo pipelines have no direct Odoo equivalent — Odoo organizes pipeline visibility by crm.team (sales team) and each team has its own set of crm.stage records. We map each Apollo pipeline to a crm.team with its own stage set. If the Odoo instance already has teams configured, we map Apollo pipelines to existing teams or create new ones based on pipeline names. Each pipeline stage becomes a crm.stage within that team.

Apollo ERP

Deal Stage

maps to

Odoo CRM

crm.stage

1:1
Fully supported

Apollo deal stages are string labels ('Prospecting', 'Qualified', 'Demo Scheduled', 'Proposal Sent', 'Negotiation', 'Closed Won', 'Closed Lost'). Each maps to an Odoo crm.stage record within the target team. Stage probability is pulled from Odoo's default model or set per stage if Apollo has probability data. Closed Won and Closed Lost are Odoo's mandatory terminal stages; we ensure every Apollo pipeline maps to them or equivalent terminal stages.

Apollo ERP

Activity (Call/Email/Meeting/Note)

maps to

Odoo CRM

mail.message + mail.activity

1:1
Fully supported

Apollo engagement records (calls, emails, meetings, notes) migrate as Odoo mail.message records linked to the target crm.lead or res.partner. Call logs use subtype 'mt_comment' with a custom 'Call' subtype flag; emails use 'email'; meetings create a calendar.event record plus a related mail.activity. Timestamps, body content, and owner (user_id) are preserved. Attachments on activities download and re-upload to Odoo's ir.attachment storage.

Apollo ERP

Custom Field (Contact)

maps to

Odoo CRM

res.partner custom field (x_*)

1:1
Fully supported

Apollo custom fields on contacts (created via POST /api/v1/fields with modality='contact') require Odoo custom field creation in Settings > Technical > Models > Fields. We use the field label as display_name and generate a technical name with x_ prefix (Community) or without (Enterprise). Field type mapping: string/textarea → char/text, number → float or integer, date → date, datetime → datetime, boolean → boolean. Required flags are set if Apollo marked the field as required.

Apollo ERP

Custom Field (Company)

maps to

Odoo CRM

res.partner custom field (x_*)

1:1
Fully supported

Apollo custom fields with modality='account' map to Odoo res.partner custom fields, same creation mechanism as contact custom fields. Both individual contacts and company partners can have the same custom field name — we create a single field on res.partner and it is available on both record types in Odoo.

Apollo ERP

Custom Field (Deal)

maps to

Odoo CRM

crm.lead custom field (x_*)

1:1
Fully supported

Apollo deal custom fields (modality='opportunity') map to custom fields on the crm.lead model in Odoo. These are created the same way as partner custom fields. Note that crm.lead is the same model as crm.lead for leads — the field is available on both leads and opportunities in Odoo.

Apollo ERP

Sequence (Email Cadence)

maps to

Odoo CRM

No equivalent in Odoo CRM

1:1
Fully supported

Apollo sequences (automated email cadences with step timing, A/B split, and delivery tracking) have no structural equivalent in Odoo CRM. Odoo's Email Marketing app handles mass campaigns but not individual rep-level sequences. We export sequence definitions as structured JSON — step order, delay days, subject, body template, and conditions — for a consultant to rebuild using Odoo server actions and mail.mass_mailing.

Apollo ERP

Owner / User

maps to

Odoo CRM

res.users

1:1
Fully supported

Apollo stores owner_id on contacts, companies, and deals. We match Apollo owner email addresses against Odoo res.users records by email. Unmatched owners are flagged before migration — either the user is invited to Odoo first or records are assigned to a fallback Odoo user designated by the admin. No record lands in Odoo without a valid OwnerId (user_id) field.

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.

Apollo ERP logo

Apollo ERP gotchas

High

Leave balance carry-forward errors on year-end migration

Medium

Chart of Accounts mapping requires manual chart design review

Medium

API rate limits throttle bulk export on lower-tier plans

Odoo CRM logo

Odoo CRM gotchas

High

Odoo.sh version gating blocks assisted migrations from trial

High

Enterprise modules fail to install on Community after database restore

Medium

Custom module view inheritance breaks between Odoo major versions

Medium

Custom fields risk losing their application context on Community

Low

API access for Community is gated behind the Custom Plan

Pair-specific challenges

  • Apollo sequences have no structural equivalent in Odoo CRM

    Apollo sequences are multi-step email cadences with configurable delays, A/B subject variants, and delivery tracking per rep. Odoo CRM has no native sequencing engine — its Email Marketing app handles mass outbound campaigns, not individual rep-level follow-up cadences. We export sequence definitions as structured JSON (step order, delay, subject, body, conditions) so a consultant can rebuild the logic using Odoo server actions and mail.mass_mailing templates, but the cadence automation must be rebuilt. This is the most significant functional gap in an Apollo-to-Odoo migration.

  • Odoo's partner model requires parent_id resolution for contact-company links

    Odoo res.partner uses a hierarchical model where individual contacts have a parent_id pointing to their company partner. Apollo stores a direct primary_company_id on contacts. During migration, Apollo contacts without a primary company land as standalone partner records — Odoo will not prevent this, but your admin should decide whether to create placeholder company records or accept unlinked contacts. We flag these records in the pre-migration audit so the admin can define the rule before data lands.

  • Apollo API rate limits constrain bulk export pacing

    Apollo's standard API enforces rate limits (1,000 enrichments per hour on most plans; higher on Organization tier). Bulk data exports — especially for contacts with enrichment lookups — require throttled API calls. Our migration engine respects Apollo's per-endpoint rate limits using fixed-window throttling. For datasets over 50,000 records, export can extend to 24–48 hours. We notify you before migration if your Apollo plan's rate limits will extend the export window materially.

  • Odoo Community requires x_ prefix on custom field technical names

    In Odoo Community edition, all custom field technical names must be prefixed with x_ (e.g., x_apollo_deal_id). In Odoo Enterprise, the x_ prefix is optional. Our migration engine detects the Odoo edition at connection time and generates field names accordingly. If you are on Community and plan to upgrade to Enterprise later, the field names will not auto-rename — you would need a post-upgrade migration step to remove the x_ prefix.

  • Apollo's buying-signals and intent data cannot be stored natively in Odoo

    Apollo enriches contacts with intent signals (e.g., 'recently visited pricing page', 'opened email N times') that have no native Odoo field. These intent scores are stored in Apollo's data model and surfaced in Apollo's UI but are not standard CRM fields. We migrate them as custom fields (x_intent_score, x_last_intent_date) on res.partner, but Odoo has no automation logic to act on them — workflows and alerts based on intent data must be rebuilt in Odoo using custom server actions.

Migration approach

Six steps for a successful Apollo ERP to Odoo CRM data migration

  1. Audit Apollo data volume and custom field inventory

    We connect to Apollo via read-only API credentials and enumerate all contacts, companies, deals, custom fields, and activity records. We produce a data inventory report showing record counts per object, custom field names and types, pipeline and stage names, and owner distribution. This report identifies the migration scope, flags contacts without companies, identifies duplicate companies, and surfaces any Apollo API rate-limit concerns before we write a single record to Odoo.

  2. Create Odoo custom fields and stage structure

    Before data moves, we create all required custom fields on res.partner and crm.lead in your Odoo instance. For Community edition we use the x_ prefix; for Enterprise we use clean technical names. We also create the crm.team records and crm.stage records for each Apollo pipeline, configuring stage names, probability, and fold state to match Apollo's stage model as closely as possible. This step requires an Odoo admin credential with technical access.

  3. Resolve owners and validate partner hierarchy

    We match Apollo owner email addresses against Odoo res.users records. Unmatched owners are listed in a resolution report — you either invite those users to Odoo or assign a fallback user. We also validate the contact-company parent_id chain: contacts without a primary company are flagged, and you define whether to create placeholder company records or allow standalone contacts. No record moves until the owner and hierarchy resolution is approved.

  4. Run sample migration with field-level diff

    A representative slice — typically 100–500 records spanning contacts, companies, deals, and activities — migrates first into a test Odoo database or sandbox. We generate a field-level diff showing source values and destination values for every mapped field, flagging any nulls, type mismatches, or value-mapping gaps. You review the diff and approve before the full run. This step is where we catch stage name mismatches, custom field type conflicts, and owner resolution failures before they affect your production data.

  5. Execute full migration with delta-pickup window

    The full migration runs against your Odoo production instance. Companies load first (res.partner with is_company=True), then contacts with parent_id resolution, then deals as crm.lead opportunity records. Activities follow, linked to their parent records. A 24–48h delta-pickup window captures any records created or modified in Apollo during the cutover. All operations are logged in a migration audit report. If reconciliation fails, one-click rollback reverts the Odoo database to its pre-migration state.

Platform deep dives

Context on both ends of the pair

Apollo ERP logo

Apollo ERP

Source

Strengths

  • Integrated HR, payroll, and finance in a single platform reduces data silos and reconciliation effort for SMBs.
  • Strong payroll module with multi-state or multi-country compliance capabilities for Indian and South Asian deployments.
  • FSM and manufacturing modules provide work order tracking, job costing, and supply chain visibility for operational businesses.
  • Affordable entry pricing makes the platform accessible without large upfront capital expenditure.
  • Centralized database means customer and employee data share a single source of truth across modules.

Weaknesses

  • Leave management module is known to produce calculation conflicts and requires careful configuration and testing.
  • User interface is dated compared to modern SaaS platforms, affecting user adoption and day-to-day efficiency.
  • Third-party integrations are limited, restricting connectivity to best-of-breed tools for CRM, BI, or specialized vertical applications.
  • Documentation lags behind product updates, making self-service troubleshooting difficult for non-standard configurations.
  • Support quality and response times are inconsistent, particularly for complex configuration or migration-related issues.
Odoo CRM logo

Odoo CRM

Destination

Strengths

  • Modular open-source architecture lets teams start with CRM and add ERP apps as needs grow, all sharing one PostgreSQL database.
  • Free Community edition with no contact limits and full source code access means zero licensing cost for evaluation and small deployments.
  • Drag-and-drop Kanban pipeline with AI lead scoring gives a visual, prioritized view of the sales funnel without requiring custom configuration.
  • Native integrations with email, live chat, SMS, VoIP, WhatsApp, and social media feed all inbound leads into a single unified inbox.
  • Active Odoo Community Association (OCA) maintains dozens of community-maintained modules on GitHub for extended functionality.

Weaknesses

  • Gmail and email integration reliability is a recurring complaint — threads drop and conversations scatter across inboxes, disrupting sales team workflows.
  • Enterprise edition pricing stacks quickly: multiple apps at per-user rates ($25–$50/user/month) plus Odoo.sh hosting costs more than many SMBs anticipate.
  • Setup and configuration complexity increases significantly once custom fields, automation rules, and multiple installed modules are in play.
  • Odoo.sh trial databases run on a version (e.g., 18.3) that is not directly migratable to Odoo.sh, blocking the assisted migration path Odoo advertises.
  • Version upgrades between major Odoo releases (e.g., 17→18) frequently break custom module view definitions and XPath expressions, requiring manual remediation.

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 Apollo ERP and Odoo CRM.

  • 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

    Apollo ERP: Not applicable..

  • Data volume sensitivity

    B

    Apollo ERP doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Apollo ERP to Odoo 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 Apollo ERP to Odoo CRM data migrations

Answers to the questions buyers ask most during Apollo ERP to Odoo CRM migration scoping. Not seeing yours? Book a call.

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Most Apollo-to-Odoo migrations complete in 48–72 hours for under 50,000 total records (contacts, companies, and deals combined). The longest single step is the Apollo API bulk export, which is constrained by Apollo's per-endpoint rate limits — typically 1,000 enrichments per hour on standard plans. Larger datasets over 200,000 records extend to 7–10 days, primarily because of API throttling during export. Odoo custom field creation and crm.stage setup add 2–4 hours of prep time before data begins loading.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Apollo ERP.
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