CRM migration

Migrate from Evam to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Evam and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Evam logo

Evam

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

75%

9 of 12

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

Complexity

BStandard

Timeline

4-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Evam to Salesforce is a migration from an event-driven journey orchestration platform to a relational CRM with a mature sales, service, and marketing object model. Evam stores behavioral and transactional events at scale, sequences them into Journeys and Campaigns, and computes AI-driven predictive scores within its own runtime. Salesforce has no native journey orchestration engine; instead it stores Contacts, Accounts, Opportunities, Tasks, Events, and Campaigns as structured relational objects. We migrate Customers to Contacts, Events to Salesforce Tasks and Events with timestamps preserved, Campaigns to Salesforce Campaigns, and Segments to static or dynamic Salesforce Campaigns with documented filter logic. We do not migrate AI predictive scores, journey definitions, or channel credentials because these are computed or environment-locked in Evam with no documented export mechanism. We deliver a complete channel re-setup checklist and a written inventory of every active Journey and Campaign requiring rebuild in Salesforce Flow or Campaign member logic.

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

Evam logo

Evam

What's pushing teams away

  • Journey complexity becomes unmanageable at scale — users report that the user journey can feel complex, and small campaign changes often require navigating deeply nested logic.
  • Difficult to extract clean historical data for reporting — as an event-driven system, the raw event stream lacks built-in summarization, making it hard to build reports post-migration without re-processing.
  • High cost of entry relative to simpler marketing automation tools — the platform's enterprise positioning means smaller teams pay for capabilities they do not use.
  • Lack of transparency in channel attribution — multi-touch attribution across Evam's channels is not fully transparent, leading some teams to supplement with separate analytics tooling.
  • Limited community resources and steep learning curve — compared to broader CRM platforms, Evam has a smaller ecosystem, making self-service troubleshooting harder.

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 Evam objects map to Salesforce Sales Cloud

Each row shows how a Evam 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.

Evam

Customer

maps to

Salesforce Sales Cloud

Contact (primary) + Account

1:many
Fully supported

Evam Customers map to Salesforce Contact as the primary record, with an Account created from the Customer's organization or company field where present. We apply a 1:N split logic: if the Evam Customer record contains an associated company domain or explicit organization field, we create a parent Account and attach the Contact via AccountId. Customers without an organization association map directly to a Contact with no AccountId (a personal contact). We preserve all standard profile fields (name, email, phone, demographic attributes) and flag every custom Customer property for field-level mapping against Salesforce's typed field model.

Evam

Event

maps to

Salesforce Sales Cloud

Task + Event

1:1
Fully supported

Evam Events (behavioral and transactional touchpoints) map to Salesforce Task and Event based on event type classification. Behavioral events with a duration (e.g., session duration, interaction time) map to Event records with StartDateTime and EndDateTime preserved. Discrete transactional events (clicks, form submissions, status changes) map to Task records with ActivityDate set to the original Evam event timestamp. We scope the event export to a defined time window (typically 90-180 days) to stay within API quotas and produce a validatable dataset. Older event data is aggregated or sampled and documented for reference rather than fully migrated.

Evam

Journey

maps to

Salesforce Sales Cloud

Campaign (documentation)

lossy
Fully supported

Evam Journeys are the core orchestration unit: sequences of steps, conditions, wait timers, and channel actions tied to customer segments. Journey definitions are not exposed via a documented export endpoint. We perform API snapshots and manual documentation during discovery to capture journey topology (step sequence, branch conditions, entry/exit rules, channel assignments). The migration output includes a written journey inventory with a recommended Salesforce Flow or Campaign member logic rebuild for each active journey. We do not migrate journey logic as executable code.

Evam

Campaign

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

Evam Campaigns attached to journey steps or run independently map to Salesforce Campaign. Campaign metadata (name, status, start date, end date, budgeted cost, channel assignments) migrates directly. Campaign performance metrics (open rates, click rates, conversion rates) are derived metrics computed in Evam's reporting layer and do not have a source-data equivalent to migrate; we document these as reporting baselines for the customer to rebuild in Salesforce Reports post-migration.

Evam

Segment

maps to

Salesforce Sales Cloud

Campaign (static or dynamic)

lossy
Fully supported

Evam Segments are customer groupings used to filter journey entry and campaign targeting. Segment definitions export as rule sets or filter configurations. We preserve the membership criteria in a written segment inventory so that segments can be rebuilt as Salesforce static Campaigns (member list-based) or dynamic Campaigns (filter-based using Salesforce Reports or Flow criteria). The original Evam segment membership snapshot migrates as a static Campaign Member list for immediate use.

Evam

Channel

maps to

Salesforce Sales Cloud

Campaign (channel documentation)

1:1
Fully supported

Evam Channels (SMS, push notifications, in-app, pop-up) are registered application environments with sender IDs, push credentials, and notification configurations bound to Evam's environment. These credentials cannot be moved. We document the full channel configuration during discovery (sender ID format, API keys, registered app credentials, routing rules) and provide a re-setup checklist so the customer's operations team can re-register channel credentials in Salesforce (via MobilePush, Salesforce SMS partners, or Experience Cloud) before cutover.

Evam

AI Models / Predictive Scores

maps to

Salesforce Sales Cloud

Einstein 1 AI (separate provisioning)

1:1
Not supported

Evam's AI-based propensity scores are computed per-customer within Evam's runtime environment and are not accessible via the documented API. We cannot migrate these scores directly. Customers relying on AI-driven routing in journeys should plan to re-run scoring in Salesforce Einstein 1 AI post-migration, which requires a separate Einstein 1 Sales Cloud or Data Cloud activation. The migration delivers a customer-level score history export in CSV format for reference and manual upload if the destination supports custom scoring fields.

Evam

Custom Field (Customer)

maps to

Salesforce Sales Cloud

Custom Field (Contact or Account)

1:1
Fully supported

Extended properties on Evam Customers defined beyond the standard schema migrate to Salesforce custom fields on Contact (for customer-person attributes) or Account (for customer-organization attributes). We perform field-by-field mapping during scoping, noting Salesforce data type compatibility (text, number, date, picklist, checkbox, formula). Custom fields on Evam Customers without a clear Salesforce analog are flagged for explicit customer decision during mapping review.

Evam

Custom Field (Event)

maps to

Salesforce Sales Cloud

Custom Field (Task or Event)

1:1
Fully supported

Extended properties on Evam Events migrate to Salesforce custom fields on the corresponding Task or Event record based on event type classification. We map the Evam event property schema to Salesforce field types, preserving payload data where Salesforce's custom field model supports the format. Large or unstructured event payloads (JSON blobs, nested objects) are documented rather than fully migrated and are flagged for re-ingestion via Salesforce Event Monitoring or a data warehouse integration post-migration.

Evam

Engagement (call, email, meeting)

maps to

Salesforce Sales Cloud

Task + Event + EmailMessage

1:1
Fully supported

Evam engagement records (calls, emails, meetings logged against Customers or within Journeys) map to Salesforce Task with TaskSubtype, Event with start/end times, or EmailMessage records linked to Tasks. Engagement timestamps migrate as ActivityDate on Task and StartDateTime/EndDateTime on Event. The WhoId on migrated engagement records points to the converted Contact; the WhatId points to the related Account, Opportunity, or Campaign. We use the Salesforce Bulk API 2.0 with chunking and parent-record resolution to handle engagement volumes that exceed CSV loader capacity.

Evam

Note

maps to

Salesforce Sales Cloud

Note

1:1
Fully supported

Notes attached to Evam Customers or recorded within Journeys map to Salesforce Note records linked via ContentDocumentLink to the parent Contact, Account, or Campaign. Note body migrates as rich text with image attachments preserved as separate ContentDocument records. We resolve the parent record reference at migration time using the Contact or Account ID from the Customer mapping.

Evam

Owner

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Evam Owners (users who created or are assigned to Customers, Events, Campaigns, and Journeys) map to Salesforce User records by email match. We extract every distinct Owner referenced across migrating objects and match against the Salesforce destination org's User table. Any Evam Owner without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Active/inactive status on the Salesforce User must be confirmed by the customer's admin to ensure the OwnerId reference is valid.

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.

Evam logo

Evam gotchas

High

Journey logic lacks structured export

High

AI predictive scores are non-exportable

Medium

Event data volume requires selective snapshot strategy

Medium

Channel credentials are environment-locked

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

  • Journey definitions have no structured export mechanism

    Evam's journey definitions encode step sequences, branch conditions, wait timers, and entry/exit rules within a proprietary canvas format that is not exposed via a documented export endpoint. Attempting to migrate journeys as data records produces only the journey metadata (name, status, dates) without the step logic. We use API snapshots and manual documentation during discovery to capture journey topology before migration. The output is a written journey inventory with step-by-step logic, branch conditions, and channel assignments. We do not attempt to reverse-engineer journey logic from event data alone, and we do not migrate journeys as executable automation in the destination platform.

  • AI predictive scores are computed in Evam's runtime and cannot be exported

    Evam's built-in predictive propensity scores are computed per-customer within Evam's environment and are not accessible via the documented API. No export endpoint, bulk export, or field-level API read is available for AI model outputs. Customers relying on these scores for journey routing or customer prioritization should plan to re-run scoring in the destination platform post-migration. Salesforce Einstein 1 AI requires separate activation and a data preparation phase; it does not ingest Evam's scoring model directly. We deliver a customer-level score reference export in CSV format for manual use.

  • Channel credentials are bound to Evam's registered application environment

    SMS sender IDs, push notification credentials, and in-app notification configurations in Evam are bound to Evam's registered application environment and cannot be transferred to Salesforce. Attempting to migrate channel configurations as data records produces no functional credentials. We document the full channel configuration during discovery (sender ID format, API keys, registered app IDs, routing rules, opt-out handling) and provide a channel re-setup checklist so the customer's operations team can re-register credentials in Salesforce via MobilePush, an SMS partner (Twilio, MessageBird), or Experience Cloud before cutover.

  • Event data volume requires selective snapshot scoping to stay within API quotas

    Evam processes billions of touchpoints. Attempting to export the full historical event stream in one pass hits API rate limits and produces a dataset too large to validate or load efficiently into Salesforce. We scope the event export to a defined time window (typically the last 90-180 days) and sample or aggregate older event data. The scoped window is agreed upon during scoping based on the customer's reporting requirements. We document the sampling strategy and preserve a representative sample of pre-window event data for journey reconstruction reference.

  • Salesforce validation rules and field-level security can reject migrating records

    Salesforce orgs commonly enforce validation rules (required formats, conditional required fields, picklist whitelists) and field-level security that the migrating user must explicitly bypass during data load. We coordinate with the customer's Salesforce admin to grant the migration user the necessary Bulk API permissions and either temporarily disable validation rules during load or extend them with a migration-context check. Skipping this step results in partial record rejection on first import attempt, requiring rework and extending the migration timeline.

Migration approach

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

  1. Discovery and scope definition

    We audit the source Evam environment across Customers, Events (volume and time window), active Journeys, Campaigns, Segments, Channels, and custom fields on Customer and Event objects. We capture the event type taxonomy (behavioral vs transactional), the journey count and complexity rating (step count, branch depth, AI routing usage), and the channel configuration inventory. The discovery output is a written migration scope document with record counts per object, event window recommendation, and a preliminary Salesforce schema design noting custom fields to pre-create.

  2. Schema design and channel re-setup planning

    We design the destination schema in Salesforce. This includes pre-creating custom fields on Contact and Account (mapped from Evam Customer custom properties), custom fields on Task and Event (mapped from Evam Event custom properties), Salesforce Campaigns for each migrating Evam Campaign and documented Journey, and the channel re-setup checklist with sender IDs, API keys, and routing rules. Schema is deployed via Salesforce metadata API or change set into a Sandbox org first for validation before any data loads begin.

  3. Sandbox migration and journey documentation

    We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-like data volume. The customer reconciles record counts (Contacts in, Activities in, Campaigns in) against the Evam source and spot-checks 25-50 random records for field-level accuracy. During this phase we also complete the journey documentation: step sequences, branch conditions, entry/exit rules, and channel assignments for every active Evam Journey. Any mapping corrections or schema adjustments happen here, not in production.

  4. Owner reconciliation and User provisioning

    We extract every distinct Evam Owner referenced on Customer, Event, Campaign, and Engagement records and match by email against the Salesforce destination org's User table. Owners without a matching User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users (active or inactive depending on whether the original Evam user is still active) before production migration begins. OwnerId references on Contact, Task, Event, and Campaign require a valid Salesforce User to resolve.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Account (from Evam organization fields), Contact (with AccountId resolved for org-linked Customers), Campaign (for each migrating Evam Campaign), Task and Event (with scoped event window and parent-record resolution via Bulk API 2.0), EmailMessage (linked to Task records for email engagements), Note (linked via ContentDocumentLink to Contact, Account, or Campaign). Each phase emits a row-count reconciliation report before the next phase begins. Channel configurations are not migrated; the re-setup checklist is delivered for the operations team to complete before cutover.

  6. Cutover, delta migration, and journey rebuild handoff

    We freeze Evam 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 inventory (step-by-step logic for every active Evam Journey) and the channel re-setup checklist. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's team. We do not rebuild Evam Journeys as Salesforce Flow inside the migration scope; that work is delivered as documented specifications for the customer's admin or a Salesforce partner to rebuild post-migration.

Platform deep dives

Context on both ends of the pair

Evam logo

Evam

Source

Strengths

  • Real-time event processing engine handles billions of touchpoints per day without batching latency.
  • AI-based predictive scoring and next-best-offer logic are native to the platform, not bolted on.
  • Multi-channel delivery (SMS, push, in-app, pop-up) managed from a single journey canvas.
  • High-volume enterprise track record — 600+ daily end-users across significant deployments.
  • Developer-friendly integration surface with documented API access patterns.

Weaknesses

  • Small ecosystem and limited public documentation compared to broader CRM platforms.
  • Journey logic is complex to audit and export, making post-migration reconstruction non-trivial.
  • No documented mechanism for exporting predictive score history.
  • Channel configurations (sender IDs, credentials) are environment-locked and require manual re-setup.
  • Small review sample limits confidence in long-term reliability assessment.
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. 2 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 Evam and Salesforce Sales Cloud.

  • Object compatibility

    B

    2 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

    Evam: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Evam 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 Evam to Salesforce Sales Cloud data migrations

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

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Most migrations land between four and six weeks for accounts under 50,000 Customers with a scoped 90-day event window and fewer than 10 active Journeys. Migrations with large event histories (over 1 million activity records), a large number of active Journeys requiring documentation, complex segment rebuild scope, or custom object dependencies move to ten to sixteen weeks because of Bulk API chunking time, journey documentation work, and channel configuration reconciliation.

Adjacent paths

Related migrations to explore

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