CRM migration
Field-level mapping, validation, and rollback between Resulticks and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Resulticks
Source
Salesforce Sales Cloud
Destination
Compatibility
9 of 14
objects map 1:1 between Resulticks and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
5-8 weeks
Overview
Moving from Resulticks to Salesforce is a migration from an omnichannel marketing platform with a built-in CDP to a structured CRM. Resulticks does not publish a public API, which means Contact records, Audience definitions, Tag assignments, and event history require coordination with Resulticks' implementation team for assisted extraction. We extract the data in the agreed format, normalize Resulticks custom contact properties against Salesforce field types, and land Contact records with their Account lookups, Tag values, and configurable event windows via the Salesforce Bulk API. Journey orchestrations, AI-driven Genie segmentation, and behavioral decision trees do not export and are documented for rebuild in Salesforce Flow or Marketing Cloud. The recipient-tier pricing model on Resulticks ($24,000+ annually) contrasts with Salesforce's per-user model, which is more predictable for focused sales teams even when marketing automation remains in a separate tool.
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 Salesforce Sales Cloud, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Resulticks
Contact
Salesforce Sales Cloud
Contact
1:1Resulticks Contacts migrate to Salesforce Contact records with all standard fields (Name, Email, Phone, Address) mapped directly. Custom Contact properties from Resulticks inspect during scoping and map to typed Salesforce custom fields (Text, Number, Picklist, Date, Checkbox). Email is the dedupe key. Owner assignment resolves by email match to Salesforce User.
Resulticks
Contact
Salesforce Sales Cloud
Lead
1:manyResulticks Contacts with a prospect lifecycle status that the customer designates as unqualified can be split to Salesforce Lead. We apply the split rule defined during scoping (e.g., all Contacts with lifecycle_stage = Subscriber or Lead map to Lead; Customer and Evangelist map to Contact). The split is computed during the transform phase, and the original Resulticks lifecycle_stage is preserved in a custom field resulticks_lifecycle__c on both Lead and Contact.
Resulticks
Audience
Salesforce Sales Cloud
Campaign or Report
lossyResulticks Audience definitions (filter conditions on Contact attributes and event behaviors) do not export as reusable segments. We preserve membership by exporting the Contact IDs within each Audience and creating Salesforce Campaigns with those Contact IDs as CampaignMembers. For dynamic segments, we deliver a written filter definition document so the customer can rebuild equivalent Campaign inclusion rules or Data Cloud segments in Salesforce.
Resulticks
Tag
Salesforce Sales Cloud
Contact Tag or Custom Field
1:1Resulticks Tags at the Contact level migrate as Salesforce Contact Tags (native tag functionality) and optionally as a multi-select picklist custom field resulticks_tags__c. Tag distribution per Contact is preserved. The customer chooses between tags and a custom field during scoping based on reporting needs.
Resulticks
Campaign
Salesforce Sales Cloud
Campaign
1:1Resulticks Campaign metadata (name, status, channel assignment, start and end dates) migrates to Salesforce Campaign. Campaign content assets, email body copy, and creative files do not export from Resulticks and are flagged for manual transfer or rebuild in Salesforce Marketing Cloud or a content DAM.
Resulticks
Custom Contact Attribute
Salesforce Sales Cloud
Custom Field on Contact
lossyResulticks custom Contact properties vary by account configuration and may include legacy field types, multi-select values, or computed date fields. We inspect the full field schema during scoping, map each property to a compatible Salesforce field type (Text, Number, Picklist, Date, Boolean), and pre-create the custom fields in the destination org before import. Fields that have no compatible Salesforce type are flagged for review.
Resulticks
Behavioral Event
Salesforce Sales Cloud
Custom Object or Activity
1:1Resulticks event history (page views, email opens, purchase events, custom track events) migrates to a custom Event_History__c object with ContactId lookup, event_type, event_date, and JSON payload fields for custom event properties. Due to schema variability and volume, we migrate a configurable event window (default 12 months) and normalize event_type to a picklist. The customer can expand the window during scoping.
Resulticks
User
Salesforce Sales Cloud
User
1:1Resulticks platform users map to Salesforce User records by email match. Role and permission assignments are documented during scoping and the customer configures Salesforce profiles and permission sets post-migration. Users without a matching Salesforce User are held in a reconciliation queue for admin provisioning.
Resulticks
Engagement: Email
Salesforce Sales Cloud
EmailMessage + Task
1:1Resulticks email engagement records migrate to Salesforce EmailMessage (content) linked to a Task (activity timeline entry). WhoId points to the migrated Contact or Lead; WhatId points to the related Campaign or Account. Email body and subject migrate as Salesforce-compatible rich text.
Resulticks
Engagement: Call
Salesforce Sales Cloud
Task (TaskSubtype = Call)
1:1Resulticks call engagement records map to Salesforce Task with TaskSubtype = Call. Call duration, disposition, and recording URL (if accessible) migrate to custom Task fields. ActivityDate is set to the original Resulticks timestamp to preserve timeline ordering.
Resulticks
Engagement: Meeting
Salesforce Sales Cloud
Event
1:1Resulticks meeting records map to Salesforce Event with StartDateTime, EndDateTime, Subject, and Location preserved. Attendees map to EventRelation records linked to the migrated Contact, Lead, or User records.
Resulticks
Engagement: Task
Salesforce Sales Cloud
Task
1:1Resulticks task engagements map to Salesforce Task with Status, Priority, Subject, and ActivityDate preserved. Owner assignment resolves by email match to Salesforce User. Task content migrates as the Task Description field.
Resulticks
Journey Orchestration
Salesforce Sales Cloud
Documentation Only
lossyResulticks Journey flows store branching conditions, wait steps, AI-driven decision nodes, and multi-channel node sequences in a proprietary format that cannot be exported. We photograph and document the full Journey map during discovery and deliver a written Journey reference document with screen captures, node logic, and recommended Salesforce Flow equivalents. The customer or a Salesforce partner rebuilds the flows post-migration.
Resulticks
Genie AI Segments
Salesforce Sales Cloud
Documentation Only
lossyResulticks Genie AI-driven audience recommendations and automated segmentation logic do not export. We document the Genie rule definitions and segment outputs observed during the discovery phase and deliver a written Genie replacement guide recommending equivalent Salesforce Reports, Campaign Lists, or Data Cloud segment configurations.
| Resulticks | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Contact | Lead1:many | Fully supported | |
| Audience | Campaign or Reportlossy | Fully supported | |
| Tag | Contact Tag or Custom Field1:1 | Fully supported | |
| Campaign | Campaign1:1 | Fully supported | |
| Custom Contact Attribute | Custom Field on Contactlossy | Fully supported | |
| Behavioral Event | Custom Object or Activity1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Engagement: Email | EmailMessage + Task1:1 | Fully supported | |
| Engagement: Call | Task (TaskSubtype = Call)1:1 | Fully supported | |
| Engagement: Meeting | Event1:1 | Fully supported | |
| Engagement: Task | Task1:1 | Fully supported | |
| Journey Orchestration | Documentation Onlylossy | Fully supported | |
| Genie AI Segments | Documentation Onlylossy | 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
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Discovery and data export coordination
We audit the Resulticks account configuration: Contact volume, custom Contact attributes, Audience definitions, Tag sets, campaign history, engagement volume, and Journey count. Because Resulticks has no public API, we coordinate with the Resulticks implementation or support team to schedule assisted data extraction. We define the export format requirements (CSV or JSON, field headers, encoding) and validate the delivered export file before transformation begins. The discovery output is a written migration scope, a Salesforce edition recommendation (Starter through Unlimited), and an export delivery timeline from Resulticks.
Destination schema design and custom field provisioning
We design the Salesforce destination schema based on the Resulticks data audit. This includes provisioning custom Contact fields (resulticks_tags__c, resulticks_lifecycle__c, and any account-specific custom properties), creating a Campaign record type for migrated Resulticks campaigns, and pre-configuring a custom Event_History__c object for behavioral event data. Validation rules and field-level security are reviewed with the customer's Salesforce admin, and a temporary migration profile is created with the required permissions. Schema is deployed to a Salesforce Sandbox first for validation before any production migration begins.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox using production-like data volume. The customer's RevOps lead reconciles record counts (Contacts in, Campaigns in, Activity records in), spot-checks 25-50 random records against the Resulticks source export, and signs off the schema and mapping before production migration begins. Any field mapping corrections, validation rule bypasses, or custom field additions happen in the Sandbox phase. This step validates that the assisted export format from Resulticks is fully compatible with the Salesforce Bulk API import process.
Owner reconciliation and User provisioning
We extract every distinct Resulticks Owner referenced on Contact and Campaign records and match by email against the Salesforce destination org's User table. Resulticks users without a matching Salesforce User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users before production migration resumes. OwnerId references are validated against the User mapping table before any parent-child record import begins.
Production migration in dependency order
We run production migration in record-dependency order: Users (manual provisioning validated), Campaigns (from Resulticks campaign metadata), Contacts (with OwnerId resolved, Tag assignments loaded), Leads (if the lifecycle split applies), Event_History__c (behavioral events via Bulk API 2.0 with chunking and ContactId lookup resolution), and Activity history (Tasks, Events, EmailMessages via Bulk API 2.0). Each phase emits a row-count reconciliation report before the next phase begins. Journey documentation and Genie replacement guides are delivered as parallel outputs during this phase.
Cutover, validation, and automation rebuild handoff
We freeze Resulticks writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce as the system of record. We deliver the Journey documentation, Genie replacement guide, and Audience rebuild recommendations to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Resulticks Journeys as Salesforce Flow inside the migration scope; that work is handled by the customer's admin team or a separate Salesforce implementation partner.
Platform deep dives
Resulticks
Source
Strengths
Weaknesses
Salesforce Sales Cloud
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 Salesforce Sales Cloud.
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.
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FAQ
Answers to the questions buyers ask most during Resulticks to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.
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