CRM migration
Field-level mapping, validation, and rollback between RedEye and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
RedEye
Source
Salesforce Sales Cloud
Destination
Compatibility
7 of 12
objects map 1:1 between RedEye and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from RedEye to Salesforce is a platform-type migration: RedEye is a B2C marketing automation system where Contacts are the primary record and Journey definitions drive campaign logic; Salesforce is a CRM where Leads, Contacts, Accounts, and Opportunities form a relational hierarchy. RedEye's behavioural event log (website actions, email opens, purchase triggers) does not have a native Salesforce equivalent, so we migrate events as Activity records linked to the resolved Contact or Account rather than as a standalone event object. RedEye's Customer Journeys use a visual branching builder that stores logic in a proprietary format; we export the journey tree as a structured rule document and deliver it as a written handoff for the customer's admin to rebuild in Salesforce Flow. Contact database size limits on RedEye (150,000 on Essentials) frequently trigger tier upgrades mid-growth; we surface the ceiling during scoping so the customer decides whether to prune dormant records or accept a higher Salesforce tier. Reports, dashboards, and campaign assets do not migrate as visualisation code. We do not migrate Workflows, Sequences, or Automations as code; we deliver a written inventory of every active automation for the customer's admin to rebuild.
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 RedEye 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.
RedEye
Contact
Salesforce Sales Cloud
Lead or Contact (split required)
1:manyRedEye Contacts are the primary record with a unified customer view deduplicated by unique customer identifier. Salesforce separates unqualified prospects (Lead) from qualified contacts (Contact attached to Account). We split at migration time using RedEye's lifecycle stage and engagement score properties: high-engagement contacts map to Salesforce Contact with AccountId resolved from RedEye company associations; lower-engagement contacts map to Salesforce Lead. The original RedEye contact score and behavioural properties migrate to custom fields (redeye_engagement_score__c, redeye_lifecycle_stage__c) on both Lead and Contact for audit and segmentation rebuild.
RedEye
Company
Salesforce Sales Cloud
Account
1:1RedEye's lightweight company associations map to Salesforce Account. Company name becomes Account Name, website becomes the Website field, and industry tags map to a custom picklist field. RedEye does not enforce a strict Account hierarchy, so we create Accounts at the top level. Account is inserted before Contact import to satisfy the AccountId Lookup on Contact.
RedEye
Campaign
Salesforce Sales Cloud
Campaign
1:1RedEye Campaigns migrate to Salesforce Campaign with channel assignments (Email, SMS, Push) preserved in the Type field. Campaign timing rules and goal metrics migrate to Salesforce Campaign fields. We sequence campaign dependencies before import so triggered campaigns do not fire before their dependencies are met. RedEye campaign assets (images, documents) migrate as ContentDocument records linked via ContentDocumentLink.
RedEye
Customer Journey
Salesforce Sales Cloud
Flow (rebuild documented)
lossyRedEye Journeys are visual workflow definitions with behavioural branching tied to contact lifecycle stages and event triggers. The journey tree structure exports as a structured rule document listing trigger conditions, branch logic, delay actions, and goal metrics per journey node. This document is delivered as a written handoff for the customer's Salesforce admin to rebuild in Flow. We do not migrate journey logic as code because the proprietary format cannot be directly imported into Salesforce.
RedEye
Event
Salesforce Sales Cloud
Task and Event
1:1RedEye behavioural events (website actions, email opens, clicks, purchase triggers, form submissions) migrate as Salesforce Task records linked to the parent Contact or Lead. Event type becomes Task Type, event timestamp becomes ActivityDate, and event metadata (page URL, product ID, email campaign) migrates to custom Task fields. Event ordering is preserved by ActivityDate so the Salesforce activity timeline reflects the original behavioural sequence. High-volume event migrations (over 50,000 records) use Bulk API 2.0 with batch chunking and exponential backoff.
RedEye
Product Record
Salesforce Sales Cloud
Product2
1:1RedEye product catalogue records migrate to Salesforce Product2 with SKU mapped to ProductCode, product name to Name, and category to Description. Standard Price Book entries are created during import so that Opportunities can reference product pricing. Both Essentials and Elevate tiers include unlimited product records, so no tier constraint applies during migration.
RedEye
Segment
Salesforce Sales Cloud
Campaign or Report (documented)
lossyRedEye Segments are dynamic contact groups based on behavioural rules and demographic criteria. We export segment definitions as structured rule sets (filter conditions, time windows, behavioural triggers) and deliver them as a written segmentation document. The customer's admin rebuilds equivalent filters in Salesforce Reports, List Views, or Campaign Audience Lists. Segmentation logic does not migrate as code because RedEye segments use a different filter syntax from Salesforce report filters.
RedEye
Custom Field (Contact)
Salesforce Sales Cloud
Custom Field
1:1RedEye custom contact fields require explicit field-to-field mapping during scoping. We extract the full RedEye field schema (field name, data type, required flag) and match it against Salesforce's available field types (Text, Number, Picklist, Date, Checkbox, Currency). Custom fields are created in Salesforce before Contact import. Multi-select picklist fields in RedEye map to Salesforce multi-select picklist; multi-checkbox fields map to a series of Salesforce Checkbox fields or a multi-select picklist depending on cardinality.
RedEye
Channel Assignment
Salesforce Sales Cloud
Campaign Type + Multi-Channel Configuration (documented)
lossyRedEye supports email plus up to eight additional channels (SMS, push notifications, in-app messaging, social). Channel assignments at the campaign level migrate as Salesforce Campaign Type values (Email, SMS, Content) and we document any channels not natively supported by the destination Salesforce edition for manual configuration post-migration. Marketing Cloud is the recommended destination for high-volume SMS and push orchestration.
RedEye
Tag (Contact)
Salesforce Sales Cloud
Custom Field or Topic
1:1RedEye contact tags migrate as a flat tag array. We map tag names exactly to Salesforce custom text fields or multi-select picklist depending on tag count. Tags with fewer than 25 unique values become a Salesforce multi-select picklist; tags exceeding 25 unique values become a custom text field with comma-separated values. Tag characters unsupported by Salesforce schema (special characters) are normalised during transform.
RedEye
Tag (Campaign)
Salesforce Sales Cloud
Campaign Tag
1:1RedEye campaign tags migrate to Salesforce Campaign Tags. We preserve the tag hierarchy and naming conventions so that reporting by campaign tag is available immediately post-migration without manual re-tagging.
RedEye
Report and Dashboard
Salesforce Sales Cloud
Rebuild in Reports & Dashboards (not migrated)
lossyRedEye native reporting dashboards use platform-specific visualisation components that cannot be exported. We migrate the underlying data (contact attributes, event logs, campaign performance metrics) into Salesforce so Reports & Dashboards can be rebuilt. We flag this during scoping and allocate the reporting rebuild as a separate post-migration task. CRM Analytics is available on Enterprise and Unlimited Salesforce editions for teams needing predictive analytics and customer journey analysis.
| RedEye | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Contact | Lead or Contact (split required)1:many | Fully supported | |
| Company | Account1:1 | Fully supported | |
| Campaign | Campaign1:1 | Fully supported | |
| Customer Journey | Flow (rebuild documented)lossy | Fully supported | |
| Event | Task and Event1:1 | Fully supported | |
| Product Record | Product21:1 | Fully supported | |
| Segment | Campaign or Report (documented)lossy | Fully supported | |
| Custom Field (Contact) | Custom Field1:1 | Fully supported | |
| Channel Assignment | Campaign Type + Multi-Channel Configuration (documented)lossy | Fully supported | |
| Tag (Contact) | Custom Field or Topic1:1 | Fully supported | |
| Tag (Campaign) | Campaign Tag1:1 | Fully supported | |
| Report and Dashboard | Rebuild in Reports & Dashboards (not migrated)lossy | 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.
RedEye gotchas
Contact database size limits differ by pricing tier
Campaign journey logic does not export as a portable schema
Reports and dashboards are not exportable
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 RedEye portal audit
We audit the source RedEye portal across tier (Essentials/Elevate), contact database size, campaign count, active journey count, event volume, custom field schema, segment definitions, product catalogue size, and channel configuration. We pair this with a Salesforce edition recommendation: Professional ($75/user/month) covers most B2C CRM migrations without custom objects; Enterprise ($165/user/month) is required for custom objects, advanced Flow, or Territory Management; Unlimited ($300/user/month) only if 24x7 support and unlimited custom apps are needed. The discovery output is a written migration scope document, a RedEye-to-Salesforce object mapping table, and a Salesforce edition recommendation.
Schema design and Contact split rule
We design the destination Salesforce schema. This includes creating custom fields on Lead and Contact (with field types matched from RedEye), Account fields, Campaign fields, and any custom Product2 records. We define the B2C contact split rule: high-engagement RedEye contacts (based on recency, frequency, and behavioural score) map to Salesforce Contact attached to Account; lower-engagement contacts map to Salesforce Lead. The original RedEye engagement score and lifecycle stage migrate to custom fields on both objects for segmentation rebuild. Schema is deployed into a Salesforce Sandbox first for validation before production.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-like data volume. The customer's RevOps lead reconciles record counts (Contacts in, Leads in, Accounts in, Campaigns in, Activities in), spot-checks 25-50 random records against the RedEye source, and validates that custom field values match. Event history is validated for a sample of 100 contacts to confirm behavioural timeline completeness. The customer signs off the schema and mapping before production migration begins. Any mapping corrections happen in sandbox, not production.
Owner reconciliation and User provisioning
We extract every distinct RedEye Owner referenced on Contact, Campaign, and Event records and match by email against the Salesforce destination org's User table. RedEye owners without a matching Salesforce User are held in a reconciliation queue. The customer's Salesforce admin provisions any missing Users (active or inactive depending on whether the original RedEye user is still active). Migration cannot proceed past Contact and Campaign import because OwnerId references are required on standard objects.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from RedEye company associations), Leads (lower-engagement contacts with the split rule applied), Contacts (with AccountId resolved), Campaigns (with OwnerId resolved), Event history (Tasks via Bulk API 2.0 with parent-record resolution), Product2 records with Pricebook entries, and Campaign Members linking Contacts to Campaigns. Each phase emits a row-count reconciliation report before the next phase begins. RedEye writes are frozen during the cutover window.
Cutover, validation, and Journey rebuild handoff
We run a final delta migration of any records modified during the cutover window, then enable Salesforce as the system of record. We deliver the Journey rule document (for Flow rebuild), the Segment definition document (for Campaign audience rebuild), and the Channel configuration notes. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's team. We do not rebuild RedEye Journeys as Salesforce Flow inside the migration scope; that work uses the delivered rule document and is either handled by the customer's admin or a separate Salesforce partner engagement.
Platform deep dives
RedEye
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 3 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 RedEye and Salesforce Sales Cloud.
Object compatibility
3 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
RedEye: Not publicly documented.
Data volume sensitivity
RedEye 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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