CRM migration

Migrate from Evam to Twenty CRM

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

Evam logo

Evam

Source

Twenty CRM

Destination

Twenty CRM logo

Compatibility

70%

7 of 10

objects map 1:1 between Evam and Twenty CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Evam to Twenty CRM is a migration from an event-driven journey orchestration platform to an open-source entity-relationship CRM. Evam sequences behavioral and transactional events into multi-channel Campaigns and Journeys; Twenty CRM uses standard objects (People, Companies, Opportunities, Tasks) without native event-stream or journey automation. We migrate the customer profile data and scoped event history that represent the factual record, document the full channel configuration for manual re-setup, and deliver a written topology of every active Journey for the customer's admin to rebuild in Twenty's workflow model. Evam's AI-based predictive scores have no documented export endpoint and are not migratable; customers should plan to re-run scoring in Twenty post-cutover or accept a scoring-free reset on day one. We do not migrate Journey definitions as logic, Workflows, Sequences, or Channel configurations because these are either environment-locked or structurally incompatible with Twenty's data model.

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

Evam logo

Evam

What's pushing teams away

  • Journey complexity becomes unmanageable at scale — users report that the user journey can feel complex, and small campaign changes often require navigating deeply nested logic.
  • Difficult to extract clean historical data for reporting — as an event-driven system, the raw event stream lacks built-in summarization, making it hard to build reports post-migration without re-processing.
  • High cost of entry relative to simpler marketing automation tools — the platform's enterprise positioning means smaller teams pay for capabilities they do not use.
  • Lack of transparency in channel attribution — multi-touch attribution across Evam's channels is not fully transparent, leading some teams to supplement with separate analytics tooling.
  • Limited community resources and steep learning curve — compared to broader CRM platforms, Evam has a smaller ecosystem, making self-service troubleshooting harder.

Choosing

Twenty CRM logo

Twenty CRM

What's pulling them in

  • Top open-source CRM on GitHub with 40.6K stars, giving teams full source code access and infrastructure ownership without per-feature licensing surprises.
  • Free self-hosting under AGPL-3.0 means unlimited users and custom objects for the cost of cloud infrastructure alone, typically $20–100/month.
  • Pricing page explicitly mocks competitors for charging add-on fees for API access, webhooks, and workflows — transparency that resonates with RevOps teams burned by Salesforce.
  • Unlimited custom objects and fields with no price impact, letting teams shape the data model to their business rather than forcing business into rigid schemas.
  • Modern TypeScript/React/PostgreSQL stack means developer-led teams can extend, self-host, or integrate without fighting legacy architecture.

Object mapping

How Evam objects map to Twenty CRM

Each row shows how a Evam object lands in Twenty CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Evam

Customer

maps to

Twenty CRM

Person

1:1
Fully supported

Evam Customer records map directly to Twenty CRM Person objects. Standard profile fields (name, email, phone, demographic attributes) migrate 1:1. Custom customer properties defined beyond Evam's standard schema migrate as custom fields on the Person object in Twenty. We use the customer email address as the dedupe key during import to prevent duplicate Person records. The migration user must have write access to the Person API in the target Twenty instance.

Evam

Event

maps to

Twenty CRM

Task or Custom Event Object

lossy
Fully supported

Behavioral and transactional Events in Evam are the highest-risk migration object. Evam's event stream stores timestamps, payload schemas, and triggering rules; however, the raw volume (potentially billions of touchpoints) makes full export impractical. We scope the event export to a defined time window (typically the last 90-180 days) agreed during scoping, preserve the full event sequence per Customer, and migrate Events as Task records in Twenty or as a custom Event object if the customer requires the payload schema preserved. Older events are aggregated or sampled to keep migration scope manageable.

Evam

Segment

maps to

Twenty CRM

Custom Field or Filter Group

lossy
Fully supported

Evam Segments are customer groupings used to filter journey entry and campaign targeting. Segment membership criteria (rule sets or filter configurations) export as condition trees. We preserve the membership criteria in a written Segment inventory document that the customer's admin uses to recreate filter groups in Twenty's list view or as a custom picklist field on Person. Active Segment membership (the current list of Customers in each Segment) migrates as tag values or custom multi-select fields on Person records.

Evam

Campaign

maps to

Twenty CRM

Task or Note with Campaign Metadata

1:1
Fully supported

Evam Campaigns attached to journey steps or run independently migrate as Task records in Twenty with campaign metadata (name, status, start/end dates, channel assignments) stored in custom fields. Campaign performance metrics (open rates, click rates, conversion rates) are derived post-migration in Twenty's reporting layer or a connected analytics tool. We preserve the Campaign-to-Customer association as a Task linked to the Person record.

Evam

Journey

maps to

Twenty CRM

Written Inventory (no code migration)

1:1
Fully supported

Evam Journeys encode step sequences, branch conditions, wait timers, and entry/exit rules. Journey definitions are not exposed via a documented export endpoint. We use API snapshots and manual documentation during discovery to capture journey topology and produce a written inventory of every active Journey with its trigger, conditions, step sequence, channel actions, and wait logic. The customer's admin rebuilds this in Twenty using available automation tools or external workflow platforms. We do not migrate Journey logic as executable code.

Evam

Channel

maps to

Twenty CRM

Re-setup Checklist (no data migration)

lossy
Fully supported

SMS sender IDs, push notification credentials, and in-app notification configurations are bound to Evam's registered application environment and cannot be transferred. We document the full channel configuration during discovery — including provider names, credential types, sender IDs, and webhook URLs — and deliver a re-setup checklist so the customer's operations team can re-register credentials in Twenty or a connected channel platform before cutover.

Evam

AI Models / Predictive Scores

maps to

Twenty CRM

None

1:1
Not supported

Evam's AI-based propensity scores are computed per-customer within Evam's runtime environment and are not accessible via the documented API. We cannot migrate these scores directly. Customers relying on AI-driven routing in Journeys should plan to re-run scoring in the destination platform post-migration, integrate an external scoring tool, or accept a scoring-free reset on day one. We flag this as a pre-migration decision point during scoping.

Evam

Custom Field

maps to

Twenty CRM

Custom Field

1:1
Fully supported

Extended properties on Customers, Events, or Journeys defined by the customer beyond Evam's standard schema migrate field-by-field. We map each custom field to a corresponding custom field in Twenty, noting data type compatibility (text, number, date, picklist, multi-select, relation). Custom fields on Events require the custom Event object or Task custom fields to be provisioned in Twenty before event import begins.

Evam

Owner

maps to

Twenty CRM

Workspace User

1:1
Fully supported

Evam Owner records map to Twenty CRM workspace Users. We resolve by email match. Any Evam Owner without a matching Twenty User goes to a reconciliation queue for the customer's admin to provision before record import resumes.

Evam

Company

maps to

Twenty CRM

Company

1:1
Fully supported

If the Evam instance stores organizational data alongside Customer records, Company objects map directly to Twenty CRM Company. The Company domain or name becomes the deduplication key. Company records are created before Person import so that the Person-Company relationship is satisfied at the moment of Person insert.

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.

Evam logo

Evam gotchas

High

Journey logic lacks structured export

High

AI predictive scores are non-exportable

Medium

Event data volume requires selective snapshot strategy

Medium

Channel credentials are environment-locked

Twenty CRM logo

Twenty CRM gotchas

High

Import order is enforced and critical

High

Export limited to 20,000 records and visible columns only

Medium

Soft-deleted records count toward uniqueness and trigger restores

Medium

API rate limits cap at 200 req/min on Organization tier

Low

No native email sequences — follow-up cadences require external tools

Pair-specific challenges

  • Journey logic has no structured export path

    Evam's Journey definitions encode step sequences, branch conditions, wait timers, and entry/exit rules in a format that is not exposed via a documented API endpoint. Attempting to extract journey logic from event data alone is unreliable because the same customer event may trigger multiple journeys. We use API snapshots and manual documentation during discovery to capture journey topology before migration. We deliver a written inventory of every active Journey with its trigger, conditions, step sequence, and recommended Twenty equivalent. The customer's admin rebuilds these post-migration. We do not attempt to reverse-engineer journey logic from event data alone.

  • AI predictive scores are non-exportable from Evam

    Evam's AI-based propensity scores are computed per-customer within Evam's runtime environment and are not accessible via the documented API. We cannot migrate these scores directly. Customers relying on AI-driven routing in Journeys lose that intelligence on cutover. We flag this as a pre-migration decision point during scoping so the customer can decide whether to re-run scoring in Twenty, integrate an external scoring tool, or accept a scoring-free reset on day one.

  • Event data volume requires selective snapshot scoping

    Evam's event stream can contain billions of touchpoints. Attempting a full historical event export in one pass will hit API rate limits and produce a dataset too large to validate and migrate. We scope the event export to a defined time window (typically the last 90-180 days) agreed during discovery, sample or aggregate older event data, and preserve a representative sample for journey reconstruction. We document the sampling rationale in the migration scope so the customer understands what historical depth is included.

  • Channel credentials are environment-locked and non-transferable

    SMS sender IDs, push notification credentials, and in-app notification configurations registered in Evam's application environment cannot be moved to Twenty or any other platform. We document the full channel configuration during discovery — including provider, credential type, sender ID, and webhook URL — and deliver a re-setup checklist. The customer's operations team re-registers credentials in Twenty or their preferred channel platform before cutover.

  • Twenty CRM lacks native multi-channel delivery and sequence automation

    Twenty CRM is a sales CRM without built-in SMS, push notification, or in-app messaging delivery, and its sequence or cadence tooling is nascent (Reddit threads from 2026 note that Twenty lacks native sequencing as of the current release). Evam's multi-channel Campaigns cannot map to native Twenty objects. We document the channel gap in the migration scope and recommend an external automation platform (n8n, Make, or a dedicated sales engagement tool) for SMS and email sequences post-migration. Channel configuration is outside the scope of Twenty's native capabilities as of this migration.

Migration approach

Six steps for a successful Evam to Twenty CRM data migration

  1. Discovery and migration scoping

    We audit the Evam instance across Customers, Events, Segments, Campaigns, Journeys, and custom fields. We document the active Journey count, channel configuration inventory, and any known AI score dependencies. We agree on the event snapshot window (90-180 days), the Segment membership migration strategy (as tags or custom fields), and the custom field inventory. We confirm the target Twenty CRM instance (self-hosted or cloud), workspace URL, and API access credentials. The discovery output is a written migration scope with object inventory, snapshot window, and go-live checkpoint criteria.

  2. Twenty schema provisioning and custom field creation

    We pre-create the destination schema in Twenty before any data migration. This includes provisioning custom fields on the Person object (mapped from Evam custom Customer properties), any custom Event object or Task custom fields, custom fields for Campaign metadata, and workspace User provisioning for owners. We use Twenty's REST API to create fields with the correct types (text, number, date, picklist, multi-select, relation). Schema provisioning happens in a staging environment or in parallel with production migration if the customer confirms no impact on live data.

  3. Customer, Company, and Segment membership migration

    We migrate Evam Customer records (mapped to Twenty Person objects) and any Company records first, using email as the dedupe key. Segment membership migrates as custom multi-select fields or tag values on Person records. We run a reconciliation report comparing record counts in Evam against the Twenty Person API response and resolve any duplicates before proceeding. Each segment's membership criteria is documented in the written Segment inventory for admin rebuild.

  4. Scoped event snapshot migration

    We export the Evam event stream scoped to the agreed time window (typically 90-180 days) and migrate Events as Task records or a custom Event object in Twenty. The migration runs in batches with exponential backoff on API rate limit responses. We preserve the event sequence per Customer by setting the Task due date to the original event timestamp and linking the Task to the corresponding Person record. Events outside the snapshot window are aggregated into summary records and documented in the migration scope.

  5. Campaign and Journey topology documentation

    We document every active Evam Campaign and Journey in a written inventory delivered to the customer's admin. Campaign metadata (name, status, dates, channel assignments) migrates as Task records with custom fields. Journey topology is captured as a step-by-step diagram with triggers, conditions, branch logic, wait timers, and channel actions. This document is the handoff artifact for the admin rebuild in Twenty or a connected automation platform.

  6. Cutover, delta sync, and channel re-setup handoff

    We freeze Evam writes during cutover, run a final delta migration of any records modified during the migration window, then enable Twenty as the system of record. We deliver the channel re-setup checklist and the Journey topology document. We support a one-week hypercare window where we resolve any data reconciliation issues. We do not rebuild Journeys, Sequences, or channel integrations as part of the migration scope; those are separate engagements handled by the customer's operations team or a Twenty implementation partner.

Platform deep dives

Context on both ends of the pair

Evam logo

Evam

Source

Strengths

  • Real-time event processing engine handles billions of touchpoints per day without batching latency.
  • AI-based predictive scoring and next-best-offer logic are native to the platform, not bolted on.
  • Multi-channel delivery (SMS, push, in-app, pop-up) managed from a single journey canvas.
  • High-volume enterprise track record — 600+ daily end-users across significant deployments.
  • Developer-friendly integration surface with documented API access patterns.

Weaknesses

  • Small ecosystem and limited public documentation compared to broader CRM platforms.
  • Journey logic is complex to audit and export, making post-migration reconstruction non-trivial.
  • No documented mechanism for exporting predictive score history.
  • Channel configurations (sender IDs, credentials) are environment-locked and require manual re-setup.
  • Small review sample limits confidence in long-term reliability assessment.
Twenty CRM logo

Twenty CRM

Destination

Strengths

  • AGPL-3.0 open-source license with full source code on GitHub — no vendor lock-in, no sunset risk.
  • Unlimited users and unlimited custom objects on self-hosted, with no feature gating based on headcount.
  • REST and GraphQL APIs available on all paid tiers, not locked behind an enterprise add-on fee.
  • MCP server and webhooks shipped as standard features, not premium upgrades.
  • Modern PostgreSQL-backed data model that developer teams can query, extend, and self-host.

Weaknesses

  • Recent v1.0 release means limited production hardening compared to CRMs with multi-year operational track records.
  • No native email sequencing or sales engagement tools — follow-up cadences require a separate platform.
  • No native two-way email sync or inbox integration, requiring third-party connectors for full activity logging.
  • Self-hosting 'free' pricing hides real infrastructure and DevOps costs that stack up over time.
  • Workflow automation is functional but lacks the complexity needed for sophisticated multi-step sales motions.

Complexity grading

How hard is this migration?

Standard CRM migration. 2 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 Evam and Twenty CRM.

  • Object compatibility

    B

    2 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

    Evam: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Evam to Twenty 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 Evam to Twenty CRM data migrations

Answers to the questions buyers ask most during Evam to Twenty CRM migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between three and five weeks for accounts under 15,000 Customers with a 90-day event snapshot and no complex Segment rebuild. Migrations with extended event history (180 days), multiple custom fields, active Segment membership rule reconstruction, and a documented Journey topology map move to seven to ten weeks. Timeline is driven primarily by data volume, event snapshot scope, and the speed of schema provisioning in the target Twenty instance.

Adjacent paths

Related migrations to explore

Ready when you are

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