CRM migration

Migrate from RedEye to Salesforce Sales Cloud

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 logo

RedEye

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

58%

7 of 12

objects map 1:1 between RedEye and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

RedEye logo

RedEye

What's pushing teams away

  • Contact database size is capped per tier (150,000 on Essentials) and upselling to higher volumes can arrive without warning, making growth-stage brands feel price-pressured.
  • Reporting dashboards are described as basic by power users who want deeper drill-down and custom analytics beyond the built-in charts and dashboards.
  • The platform has a learning curve; reviewers note that initial onboarding guidance is insufficient and some features take time to master without better in-app documentation.
  • Drag-and-drop campaign building and auto-save functionality are absent, creating friction for marketers accustomed to more modern no-code UX patterns.

Choosing

Salesforce Sales Cloud logo

Salesforce Sales Cloud

What's pulling them in

  • The AppExchange marketplace with 5,000+ prebuilt apps gives enterprises integrations for nearly every business workflow without custom development.
  • Native Einstein AI for lead scoring, opportunity insights, and predictive forecasting adds intelligence without a separate platform purchase.
  • Territory management, multi-currency support, and advanced forecasting satisfy the needs of complex B2B sales organizations with structured revenue teams.
  • Slack, Tableau, and CPQ are deeply integrated into the core platform, keeping the sales stack unified for teams already in the Salesforce ecosystem.
  • Organizations with a large, established Salesforce implementation choose it because switching costs — integrations, custom code, trained admins — are prohibitive.

Object mapping

How RedEye objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

RedEye 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

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

RedEye'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

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

RedEye 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

maps to

Salesforce Sales Cloud

Flow (rebuild documented)

lossy
Fully supported

RedEye 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

maps to

Salesforce Sales Cloud

Task and Event

1:1
Fully supported

RedEye 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

maps to

Salesforce Sales Cloud

Product2

1:1
Fully supported

RedEye 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

maps to

Salesforce Sales Cloud

Campaign or Report (documented)

lossy
Fully supported

RedEye 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)

maps to

Salesforce Sales Cloud

Custom Field

1:1
Fully supported

RedEye 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

maps to

Salesforce Sales Cloud

Campaign Type + Multi-Channel Configuration (documented)

lossy
Fully supported

RedEye 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)

maps to

Salesforce Sales Cloud

Custom Field or Topic

1:1
Fully supported

RedEye 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)

maps to

Salesforce Sales Cloud

Campaign Tag

1:1
Fully supported

RedEye 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

maps to

Salesforce Sales Cloud

Rebuild in Reports & Dashboards (not migrated)

lossy
Fully supported

RedEye 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.

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.

RedEye logo

RedEye gotchas

High

Contact database size limits differ by pricing tier

Medium

Campaign journey logic does not export as a portable schema

Medium

Reports and dashboards are not exportable

Salesforce Sales Cloud logo

Salesforce Sales Cloud gotchas

High

Workflow Rules and Process Builder are retired

High

Bulk API batch quota exhaustion during large imports

Medium

Storage overage billing is non-obvious

Medium

Account-Contact many-to-many relationship mapping

Low

Territory and team member import ordering dependencies

Pair-specific challenges

  • Customer Journey logic does not export as a portable schema

    RedEye's visual Journey builder stores workflow definitions in a proprietary format that cannot be directly exported and re-imported into Salesforce Flow. We extract the journey tree structure (trigger nodes, behavioural conditions, branch paths, delay steps, and goal metrics) as a structured rule document during migration. The customer's Salesforce admin uses this document to rebuild the logic in Flow. The rebuild requires a mapping session to confirm that RedEye behavioural triggers (event type, time window, contact property) map correctly to Salesforce Flow trigger conditions. Teams with more than ten active journeys should budget additional time for the Flow rebuild phase.

  • Contact database size ceiling triggers tier upgrade before migration

    RedEye Essentials caps the contact database at 150,000 records. During pre-flight scoping, we count all contact records in the source RedEye instance. Any migration that results in more than 150,000 active contacts in Salesforce will require the customer to evaluate whether Salesforce's per-user licensing model is more cost-effective than RedEye's contact-count model. We surface this ceiling during scoping so the customer can prune dormant contacts, suppress unsubscribes, or decide on a Salesforce tier before the first import rather than discover it in a billing conversation post-migration.

  • Behavioural event history requires Bulk API with parent-record resolution

    RedEye stores behavioural events (opens, clicks, website actions, purchase triggers) as a flat event log per contact. Salesforce has no native behavioural event object; events migrate as Task records linked to the resolved Contact or Lead. For migrations with over 50,000 event records, we use the Salesforce Bulk API 2.0 with batch chunking and parent-record lookup resolution (WhoId, WhatId). Without Bulk API, standard REST API calls time out and silently drop event records, breaking the behavioural timeline that marketing analysts rely on for attribution and RFM analysis.

  • RedEye custom fields require explicit schema mapping

    RedEye supports custom contact fields and custom event properties that do not have automatic Salesforce equivalents. We extract the full RedEye field schema during scoping and map each custom field to a typed Salesforce field (Text, Number, Picklist, Date, Checkbox, Currency). Fields with unsupported data types (for example, complex nested objects or array fields in RedEye) are flagged for manual configuration or excluded with a documented reason. This explicit mapping step adds one to two days to the discovery phase but prevents field-type mismatch errors during import.

  • Reports and dashboards are not exportable

    RedEye's native analytics dashboards use platform-specific visualisation components that do not export to any standard format. We migrate all underlying contact attributes, event logs, and campaign performance data into Salesforce so Reports & Dashboards can be rebuilt from scratch. We flag this limitation during scoping so the customer allocates time and resource for the reporting rebuild phase rather than expecting the dashboards to carry over. CRM Analytics (available on Salesforce Enterprise and Unlimited) provides predictive analytics and customer journey analysis for teams that used RedEye's AI predictive analytics on the Elevate tier.

Migration approach

Six steps for a successful RedEye to Salesforce Sales Cloud data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

RedEye logo

RedEye

Source

Strengths

  • Dedicated sending infrastructure with warm-up plans and inbox monitoring included on all paid tiers.
  • Unlimited email sends and event storage removes per-campaign volume anxiety for high-frequency senders.
  • Multi-channel campaign orchestration (up to nine channels) consolidates what many teams run across separate tools.
  • Strong B2C lifecycle marketing focus with retailer, travel, and financial sector expertise built into the product design.
  • AI predictive analytics and customer lifetime value modelling available on the Elevate tier.

Weaknesses

  • Contact database size limits (150,000 on Essentials) create a hard ceiling that triggers tier upgrades unexpectedly for growing brands.
  • Native reporting is described as basic by power users and lacks the drill-down depth available in standalone BI platforms.
  • Absence of drag-and-drop campaign building and auto-save creates UX friction for marketers used to modern no-code builders.
  • Steep learning curve without guided onboarding means teams spend more time self-discovering features than driving value.
Salesforce Sales Cloud logo

Salesforce Sales Cloud

Destination

Strengths

  • Largest enterprise app ecosystem in CRM with 5,000+ AppExchange integrations covering nearly every vertical workflow.
  • Native Einstein AI delivers lead scoring, opportunity insights, and predictive forecasting without a third-party layer.
  • Advanced territory management, multi-currency, and flexible forecasting satisfy complex B2B revenue structures.
  • Deep platform extensibility: Custom Objects, Apex, Flow, and the Metadata API allow full schema customization.
  • Well-documented REST API, Bulk API, and Composite API with published rate limits for programmatic migration.

Weaknesses

  • Pricing model is layered and opaque in practice: per-seat fees plus storage overages, add-on subscriptions, and annual uplifts compound to 30–40% above sticker price.
  • Workflow Rules and Process Builder are deprecated, forcing all orgs onto Salesforce Flow — a migration task that catches many teams by surprise.
  • Steep administrative complexity: meaningful configuration requires a dedicated Salesforce admin or consultant.
  • API rate limits are edition-gated (100k/day base for Enterprise) and easily exhausted by large historical imports without throttling.
  • Data export is exportable via Data Loader but preserving relationship integrity across 30+ objects requires careful ETL sequencing.

Complexity grading

How hard is this migration?

Standard CRM migration. 3 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 RedEye and Salesforce Sales Cloud.

  • Object compatibility

    B

    3 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

    RedEye: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your RedEye to Salesforce Sales Cloud 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 RedEye to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during RedEye to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your RedEye to Salesforce Sales Cloud migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most migrations land between four and six weeks for accounts with under 20,000 Contacts, no custom objects, and a straightforward contact split rule. Migrations with large behavioural event logs (over 200,000 event records), complex segment definitions, or a multi-campaign structure with many active journeys move to ten to fourteen weeks because of Bulk API time for event ingestion, the journey-rule documentation effort, and sandbox reconciliation.

Adjacent paths

Related migrations to explore

Ready when you are

Move from RedEye.
Land in Salesforce Sales Cloud, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day