CRM migration
Field-level mapping, validation, and rollback between Resulticks and Twenty CRM. We move data and schema; workflows are rebuilt natively in Twenty CRM.
Resulticks
Source
Twenty CRM
Destination
Compatibility
6 of 10
objects map 1:1 between Resulticks and Twenty CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Resulticks and Twenty CRM occupy different layers of the go-to-market stack: Resulticks is an omnichannel marketing platform built around a Customer Data Platform, audience segmentation, and campaign journey orchestration; Twenty CRM is a modern open-source CRM focused on pipeline management, activity tracking, and relationship data. The migration is therefore a data consolidation effort rather than a like-for-like CRM replacement. We extract Contact profiles, Companies, Tags, and configurable behavioral event history from Resulticks and land them into Twenty's People, Company, and custom object model. Because Resulticks has no publicly documented REST API, the export relies on platform-assisted data access coordinated during discovery. Journey flows, Genie AI recommendations, and campaign content assets do not migrate; we deliver a written Journey map inventory for the customer to reference when rebuilding in Twenty's workflow builder. Twenty's sparse standard field model on People and Companies requires pre-creating all custom fields in Settings before CSV import, a step we plan during schema design.
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 Resulticks 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.
Resulticks
Contact
Twenty CRM
People
1:1Resulticks Contacts map directly to Twenty People records via CSV import. We map standard fields (name, email, phone, address) and apply type-compatible transformations for phone number formats, date fields, and multi-select values. Resulticks custom Contact properties (legacy field types, computed fields, or multi-select attributes) require pre-creation in Twenty's Settings → Data Model before import. We inspect the Resulticks field schema during discovery, generate the equivalent Twenty field definitions, and validate that all custom fields exist in Twenty before the People import phase begins.
Resulticks
Company
Twenty CRM
Company
1:1Resulticks Companies map to Twenty Company records 1:1. The Resulticks company domain becomes the Website field and serves as the dedupe key during import. Company must be imported before People so that the People-to-Company relationship (a many-to-one relation in Twenty) is satisfied at insert time. Twenty's standard Company object has minimal default fields; any industry classification, employee count, or annual revenue data from Resulticks requires pre-created custom fields.
Resulticks
Audience / Segment
Twenty CRM
Tag or Filter View
lossyResulticks audience definitions (filter conditions on Contact attributes and behavioral events) do not export as portable logic. We preserve audience intent by exporting segment membership as a tag on each Contact record, then reconstructing equivalent filtered views in Twenty as custom filter views or tag-based groupings. The customer reviews the resulting segmentation map during sandbox validation and may choose to build permanent filter views in Twenty for recurring segment use cases.
Resulticks
Tag
Twenty CRM
Tag
1:1Resulticks Contact-level Tags migrate as native Tags on Twenty People records. Tag counts and distribution are preserved at the Contact record level. Tags with high cardinality (more than 500 distinct values) are reviewed with the customer during scoping; we may consolidate low-frequency tags or flag them for the customer to selectively migrate.
Resulticks
Campaign
Twenty CRM
Opportunity
1:manyResulticks Campaigns represent the top-level execution unit for marketing sends and cannot map directly to a single Twenty object. We treat Campaign metadata (name, status, channel, schedule) as source context that may seed Opportunity records if the customer's sales process uses campaign-influenced opportunities. Campaign content assets and body templates require separate export and are documented as a manual content migration item for the customer's team.
Resulticks
Behavioral Event
Twenty CRM
Task or Custom Object
lossyResulticks behavioral event history (page views, email opens, purchase events, custom track events) is migrated within a configurable event window agreed during scoping, typically the last 12-24 months. We normalize event types to a standardized schema and land them as Task records linked to the relevant People record, or as rows in a custom EventHistory object if the customer's data volume justifies a dedicated object. The configurable event window prevents unbounded import and controls migration cost.
Resulticks
Custom Contact Attribute
Twenty CRM
Custom Field
lossyResulticks custom Contact properties vary by account configuration and may include legacy field types, multi-select values, or date-derived computed fields. We inspect the field schema during discovery, generate type-compatible Twenty field definitions (text, number, date, select, multi-select), create all fields in Twenty Settings → Data Model before import, and apply transformation logic for multi-select values and date formats during the People import phase.
Resulticks
User
Twenty CRM
Member
1:1Resulticks platform users map to Twenty Members by email lookup. The customer's admin must invite and provision all Members in Twenty before we run the People import so that owner assignment and record attribution are resolved correctly. We extract owner references from Contacts and Companies during discovery and reconcile against the provisioned Member list during scoping.
Resulticks
Journey Orchestration
Twenty CRM
Workflow (manual rebuild)
1:1Resulticks Journey flows store branching logic, wait conditions, AI-driven Genie decision nodes, and multi-channel step sequences in a proprietary format with no export mechanism. We photograph and document the full Journey map during discovery and deliver this as a written reference architecture. The customer rebuilds flows in Twenty's workflow builder using the documented map as a guide. This item falls outside data migration scope; it is a separate configuration engagement.
Resulticks
Product
Twenty CRM
Custom Object or Note
1:1If Resulticks stores product or service records (SKU, name, price, category), these migrate to a Twenty custom object pre-created during schema design. Product-to-Opportunity relationships are modeled as lookups or link fields. The specific data model depends on the customer's use case; we confirm during discovery whether products are used as standalone records or referenced within opportunity context.
| Resulticks | Twenty CRM | Compatibility | |
|---|---|---|---|
| Contact | People1:1 | Fully supported | |
| Company | Company1:1 | Fully supported | |
| Audience / Segment | Tag or Filter Viewlossy | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| Campaign | Opportunity1:many | Fully supported | |
| Behavioral Event | Task or Custom Objectlossy | Fully supported | |
| Custom Contact Attribute | Custom Fieldlossy | Fully supported | |
| User | Member1:1 | Fully supported | |
| Journey Orchestration | Workflow (manual rebuild)1:1 | Fully supported | |
| Product | Custom Object or Note1:1 | 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.
Resulticks gotchas
Recipient-tier pricing means migrating in contacts can escalate your plan
No publicly documented API constrains export and import methods
Diginex acquisition introduces platform continuity uncertainty
Journey flows do not export and must be manually rebuilt
Twenty CRM gotchas
Import order is enforced and critical
Export limited to 20,000 records and visible columns only
Soft-deleted records count toward uniqueness and trigger restores
API rate limits cap at 200 req/min on Organization tier
No native email sequences — follow-up cadences require external tools
Pair-specific challenges
Migration approach
Discovery and export coordination
We audit the Resulticks account scope: Contact volume, Company volume, custom field count and types, Tag cardinality, Audience segment definitions, Campaign count, behavioral event window, and User roster. Because Resulticks has no public API, we simultaneously open an assisted export request with Resulticks' support or implementation team to establish the data extraction timeline and format. The discovery output is a written migration scope, an export format confirmation, and a custom field creation manifest for Twenty.
Twenty schema design and field pre-creation
We design the destination schema in Twenty. This includes pre-creating all custom fields identified in the manifest (Settings → Data Model → People and Company objects), configuring the People-to-Company relation as a many-to-one lookup, and enabling the Junction Relations Lab feature if the data model requires many-to-many links. We invite all team Members in Twenty before any record import so that owner resolution works at insert time. Schema design is validated in the customer's Twenty workspace during this phase.
Sandbox migration and reconciliation
We run a full migration into the customer's Twenty workspace using production-like data volume. The customer reconciles record counts (People in, Companies in, Tags distributed, event records linked to the correct People), spot-checks 25-50 random records against the Resulticks source, and signs off the schema and field mapping before production migration begins. Any missing fields, incorrect tag distributions, or event normalization issues are corrected here.
Owner and Member reconciliation
We extract every distinct Owner referenced on Resulticks Contact, Company, and Campaign records and match by email against the Twenty Members roster. Any Resulticks Owner without a matching Twenty Member is flagged for the customer's admin to provision before record import resumes. This step is blocking because OwnerId references are required on most Twenty records and must resolve at insert time.
Production migration in dependency order
We run production migration in record-dependency order: Companies first (to satisfy the People-to-Company lookup), then People with tag assignments, followed by Opportunity records (if campaign-influenced opportunities are in scope), then Task records carrying event history (within the agreed event window), then custom object records. Each phase emits a row-count reconciliation report before the next phase begins. Behavioral event normalization happens as a transform pass before Task import.
Cutover, validation, and Journey inventory handoff
We freeze writes to Resulticks during cutover and run a final delta migration of any records modified during the migration window. We deliver the Journey map inventory document and the automation rebuild guide to the customer's team. We support a one-week hypercare window to resolve reconciliation issues. We do not rebuild Resulticks Journey flows or Genie AI logic in Twenty's workflow builder; that is a separate configuration engagement or an internal admin task.
Platform deep dives
Resulticks
Source
Strengths
Weaknesses
Twenty CRM
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 1 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Resulticks and Twenty CRM.
Object compatibility
1 of 8 objects need a mapping; the rest are 1:1.
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
Resulticks: Not publicly documented.
Data volume sensitivity
Resulticks 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
Pick a category, then your source and destination platforms.
Category
FAQ
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