CRM migration
Field-level mapping, validation, and rollback between Zixflow and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Zixflow
Source
Salesforce Sales Cloud
Destination
Compatibility
7 of 12
objects map 1:1 between Zixflow and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Zixflow to Salesforce Sales Cloud is a structural migration across fundamentally different CRM architectures. Zixflow stores Contacts within Collections (list-grouping constructs) with a shared data layer across messaging and automation. Salesforce enforces a relational model where Contacts must attach to Accounts, and multi-channel messaging history must land in separate Task, Event, and EmailMessage objects. We begin by reshaping Zixflow Collections as membership mapping tables that drive a Salesforce grouping strategy, then load Contacts with AccountId lookups resolved before any engagement history moves. Inbox conversations across WhatsApp, SMS, Email, and RCS migrate as time-ordered Task and Event records. Flows (automations) do not transfer as portable code; we inspect each active Flow, document its trigger and action sequence, and deliver a runbook so the destination admin rebuilds the logic in Salesforce Flow. Wallet-based messaging credits and automation credits are consumption artifacts with no data portability value and are not migrated. Zixflow's limited review sample (29 G2, 80 Capterra) and Trustpilot score of 3.3/5 reflect post-rebrand trust issues from legacy Sales Simplify customers that predate this migration scope.
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 Zixflow 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.
Zixflow
Contact
Salesforce Sales Cloud
Contact
1:1Zixflow Contacts map directly to Salesforce Contact. Standard fields (name, email, phone, address) map to their Salesforce equivalents. Custom fields on Zixflow Contacts map to custom fields on Salesforce Contact (__c suffix) with type mapping: text to Text(255), number to Number, date to Date, dropdown to Picklist. We extract the custom field schema via the Zixflow API first, then provision matching Salesforce custom fields in a Sandbox before data migration begins. Any AI-generated custom fields from Zixflow carry a zf_ai_generated__c flag for transparency.
Zixflow
Collection
Salesforce Sales Cloud
Account + Contact Group
1:manyZixflow Collections are list-grouping constructs that organize Contacts. Salesforce has no native grouping object, so we use a two-part strategy: the Collection itself becomes a Custom Object (Collection__c) with Name and Description, and membership maps to a junction object (CollectionMember__c) with lookup relationships to both Collection__c and Contact. This preserves Collection semantics without flattening the grouping. If the customer prefers a simpler model, Collections also map as tags on Contact records via a multi-select picklist.
Zixflow
Custom Field
Salesforce Sales Cloud
Custom Field (__c)
lossyZixflow custom fields on Contacts (including AI-generated custom fields) map to Salesforce custom fields on Contact. We extract the full field definition schema via the Zixflow REST API before migration, then pre-create all Salesforce custom fields via the Metadata API. Field type mapping: Zixflow text to Salesforce Text(255), Zixflow number to Number, Zixflow date to Date, Zixflow dropdown to Picklist, Zixflow multi-select to Multi-Select Picklist. Validation rules and required-field constraints are documented separately for the Salesforce admin to configure post-migration.
Zixflow
Flow (Automation)
Salesforce Sales Cloud
Documentation (not migrated)
lossyZixflow Flows define automation logic as a node-graph inside the visual builder. The workflow structure is not portable to Salesforce Flow, which uses a different action model (record-triggered, scheduled, screen variants) and different trigger semantics. We inspect each active Flow during scoping, document its trigger conditions, action sequence, and delay logic in a structured runbook with a recommended Salesforce Flow equivalent. The customer's admin rebuilds the automations post-migration using the runbook.
Zixflow
Inbox Conversation (WhatsApp/SMS/Email/RCS)
Salesforce Sales Cloud
Task + Event + EmailMessage
1:manyZixflow Inbox threads contain multi-channel message history across WhatsApp, SMS, Email, and RCS. We flatten threads into time-ordered records: each inbound and outbound message becomes a Salesforce Task with TaskSubtype set to Email, Call, or Chat depending on channel. Message content migrates as Task Description. Attachments migrate as ContentDocumentLink records attached to the Task. Channel metadata (WhatsApp Business ID, SMS provider) is preserved in custom Task fields. We use the Salesforce Bulk API 2.0 for large thread volumes with chunking and exponential backoff.
Zixflow
Form Submission
Salesforce Sales Cloud
Task + Custom Field
1:1Zixflow Form submissions capture lead data at point of entry. Each Form submission becomes a Salesforce Task linked to the Contact (or a Lead if the contact is new), with the Form name and submission timestamp as custom Task fields. Field values from the Form populate the corresponding Contact or custom object fields. We preserve the Form field structure as a custom object (FormSubmission__c) with field-level mappings for audit traceability.
Zixflow
Owner (User)
Salesforce Sales Cloud
User
1:1Zixflow User accounts represent seats. We map Zixflow Users to Salesforce Users by email match. The customer's Salesforce admin provisions any missing Users in the destination org before record migration begins. Role and permission structures (Zixflow workspace roles) do not transfer directly; they must be recreated in Salesforce with the appropriate profile and permission set assignments.
Zixflow
Legacy Deal Record (Sales Simplify)
Salesforce Sales Cloud
Opportunity + Custom Fields
1:1Customers who used Zixflow during or after its Sales Simplify era may have deal records that were not portable at rebrand. We treat these as Opportunities with a legacy_source__c = 'Sales_Simplify' flag and map deal fields to Opportunity standard fields (Amount, CloseDate, StageName). If deal fields do not map cleanly to standard Opportunity fields, we create custom Opportunity fields (Deal_Value__c, Deal_Status__c) to preserve the original data. No Deals object exists in current Zixflow schema; deal-like records in a Sales Simplify export are processed as Opportunities during migration.
Zixflow
Analytics / Campaign Data
Salesforce Sales Cloud
Not migrated
1:1Analytics data (open rates, click rates, delivery metrics, campaign performance) in Zixflow are aggregated reporting outputs generated at query time. They are not stored as discrete records and cannot be exported as structured data. We do not migrate analytics. We recommend rebuilding key reports in Salesforce Reports & Dashboards post-migration using the migrated Contact, Account, and Opportunity data as the foundation.
Zixflow
Messaging Credits (Wallet)
Salesforce Sales Cloud
Not migrated
1:1WhatsApp, SMS, Email, and RCS messaging credits are consumed from a Zixflow wallet balance. This is a billing artifact with no data portability value. Wallet balances reset to zero upon account closure and are not migrated. Messaging cost history is an analytics artifact (see above) and does not transfer.
Zixflow
Automation Credits (Flow Credits)
Salesforce Sales Cloud
Not migrated
1:1Flow automation credits control how many workflow actions execute per month under the Zixflow subscription. Credits are non-transferable usage tokens. We do not migrate this allocation. The customer's messaging and automation costs restart at the destination platform with its own billing model.
Zixflow
LinkedIn Extension Data
Salesforce Sales Cloud
Custom Fields on Contact
lossyZixflow's LinkedIn extension enriches Contact records with LinkedIn profile data. LinkedIn URL, company headline, and connection count migrate as custom fields on Salesforce Contact (LinkedIn_URL__c, LinkedIn_Headline__c). We do not migrate LinkedIn messaging history or InMail data as these are LinkedIn-platform records outside Zixflow's exportable scope.
| Zixflow | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Collection | Account + Contact Group1:many | Fully supported | |
| Custom Field | Custom Field (__c)lossy | Fully supported | |
| Flow (Automation) | Documentation (not migrated)lossy | Fully supported | |
| Inbox Conversation (WhatsApp/SMS/Email/RCS) | Task + Event + EmailMessage1:many | Fully supported | |
| Form Submission | Task + Custom Field1:1 | Fully supported | |
| Owner (User) | User1:1 | Fully supported | |
| Legacy Deal Record (Sales Simplify) | Opportunity + Custom Fields1:1 | Fully supported | |
| Analytics / Campaign Data | Not migrated1:1 | Not supported | |
| Messaging Credits (Wallet) | Not migrated1:1 | Not supported | |
| Automation Credits (Flow Credits) | Not migrated1:1 | Not supported | |
| LinkedIn Extension Data | Custom Fields on Contactlossy | 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.
Zixflow gotchas
Rebrand from Sales Simplify left legacy customers without deal migration
WhatsApp per-message pricing shifted post-migration
CSV import enforces 100K record and 50MB file size caps
Flows cannot be directly exported as portable automation definitions
API authentication requires manual token generation per workspace
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 audit
We audit the source Zixflow workspace via the REST API across Contacts, Collections, Custom Field definitions, active Flows, Inbox conversation volume, Form submissions, and User accounts. We extract the complete custom field schema including AI-generated fields, and we inventory all active Flows with their trigger types and action counts. If legacy Sales Simplify data is present in the export, we flag it separately. We deliver a written migration scope document that specifies the object inventory, estimated record counts, and any data quality issues (null values, duplicate emails, invalid phone formats) requiring cleansing before migration.
Salesforce schema design and sandbox setup
We design the destination Salesforce schema in a Sandbox org. This includes creating Collection__c and CollectionMember__c custom objects (or the multi-select picklist alternative), provisioning all custom fields on Contact with type mapping from Zixflow, creating Record Types if multiple Contact types exist, and disabling validation rules that would block the migration user profile. The customer's Salesforce admin reviews and approves the schema design before we proceed. If any Salesforce edition upgrades are needed (e.g., custom objects requiring Professional tier), we identify that during this step.
Data cleansing and deduplication
We run data quality checks on the Zixflow export before any Salesforce load. This includes deduplicating Contacts by email address (keeping the most recent record), validating phone number formats against E.164, flagging records with missing required fields (Name, Email), and cleaning formatting inconsistencies in date fields. We provide the customer with a cleansing report and apply agreed-upon deduplication rules (e.g., highest engagement score wins) before migration begins. Post-migration data cleansing costs 3-5x more in labor hours, so we perform this step before any Salesforce load.
Sandbox migration and reconciliation
We run a full migration into the Salesforce Sandbox using production-like data volume. The customer's RevOps lead reconciles record counts (Contacts in, Collections in, Inbox messages in, Forms in), spot-checks 25-50 random records against the Zixflow source, and validates that custom field values populated correctly. Any mapping corrections, missing custom fields, or validation rule conflicts are resolved here before production migration begins. The customer signs off the Sandbox migration before we proceed to production.
User provisioning and owner reconciliation
We extract every distinct Zixflow User referenced on Contact, Collection, and Inbox records and match by email against the Salesforce destination org's User table. Any Zixflow User without a matching Salesforce User is added to a reconciliation queue. The customer's Salesforce admin provisions missing Users (active or inactive based on whether the Zixflow user is still active on the team). Migration cannot proceed past record loads because OwnerId references are required on most standard Salesforce objects. We validate User mapping before production record loads begin.
Production migration in dependency order
We run production migration in record-dependency order: Custom Objects and Custom Fields (schema setup), Collections (Collection__c records), Users (validated, not migrated), Contacts (with Collection membership via CollectionMember__c), Inbox message history (Tasks and EmailMessages via Bulk API 2.0), Form submissions (Tasks with FormSubmission__c linkage), and Flow documentation delivery. Each phase emits a row-count reconciliation report before the next phase begins. We use the Salesforce Bulk API 2.0 with batch chunking and exponential backoff on API limit responses for large activity volumes.
Cutover, validation, and Flow rebuild handoff
We freeze Zixflow 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 Flow automation runbook to the customer's admin team for rebuild in Salesforce Flow. We support a one-week hypercare window where we resolve reconciliation issues raised by the sales team. Post-migration admin support, training, and Flow rebuild are not included in the standard migration scope; these are separate engagements.
Platform deep dives
Zixflow
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 Zixflow 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
Zixflow: Not publicly documented.
Data volume sensitivity
Zixflow 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
Answers to the questions buyers ask most during Zixflow to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.
Walk through your Zixflow to Salesforce Sales Cloud migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationAdjacent paths
Other ways to leave Zixflow
Other ways to arrive at Salesforce Sales Cloud
Ready when you are
Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.