CRM migration
Field-level mapping, validation, and rollback between Evam and Zoho CRM. We move data and schema; workflows are rebuilt natively in Zoho CRM.
Evam
Source
Zoho CRM
Destination
Compatibility
5 of 10
objects map 1:1 between Evam and Zoho CRM.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from Evam to Zoho CRM is a migration from an event-driven journey orchestration platform to a conventional CRM with standard modules. Evam stores customer profiles, behavioral event streams, journey step sequences, and channel configurations; Zoho CRM accepts Contacts, Accounts, Leads, Tasks, Events, and custom fields. We migrate the customer record and its associated event history directly, but we cannot move journey definitions (Evam encodes them without a documented export endpoint) or AI predictive scores (computed in Evam's runtime and non-exportable). We deliver a written inventory of every active journey with its topology and recommended Zoho Workflow Blueprint equivalent for the customer's admin to rebuild. Channel credentials (SMS sender IDs, push tokens) are environment-locked to Evam and must be re-registered in Zoho; we document the full channel configuration during discovery so the operations team can re-establish these before cutover.
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 Evam object lands in Zoho CRM, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Evam
Customer
Zoho CRM
Contact + Account
1:manyEvam Customer records map to both a Zoho CRM Contact (the individual record) and an Account (the organization). If Evam stores an organization name on the customer record, we create the Account first, then link the Contact via the Account Name lookup. For individual-only records without organization, the Contact is created standalone. The email address is the dedupe key for Contacts; domain name or organization field is the dedupe key for Accounts.
Evam
Customer
Zoho CRM
Lead
1:1For Evam Customers that represent unqualified prospects without a closed deal, we map to Zoho CRM Lead in addition to Contact. The customer decides the split threshold (typically based on journey stage or last event recency) during scoping. We preserve the original Evam customer ID in a custom field evam_customer_id__c for audit and cross-reference.
Evam
Event
Zoho CRM
Task + Event
1:manyEvam event records (behavioral and transactional) map to Zoho CRM Activity records. We classify behavioral events (page views, clicks, form submissions) as Task records with a custom Event Type field; calendar-bound events (appointments, webinars) map to Event records with StartDateTime and EndDateTime preserved. Each event's original timestamp migrates as ActivityDate to maintain chronological ordering in the Zoho Activity timeline.
Evam
Campaign
Zoho CRM
Campaign
1:1Evam Campaign metadata (name, status, start/end dates, channel assignments) migrates to Zoho CRM Campaign records directly. Campaign Member status migrates if Evam stores it; otherwise members are imported separately as Contact-to-Campaign associations via CampaignMember records. Campaign performance metrics (open rates, conversion rates) are derived post-migration from Zoho Analytics or from exported Evam reports.
Evam
Segment
Zoho CRM
Custom Field or Tag
lossyEvam Segments (customer groupings with rule-based membership criteria) do not have a direct Zoho CRM equivalent because Zoho segments are typically implemented as custom picklist fields, tags, or static lists. We document the segment rule definition and membership count during discovery. The customer chooses whether to rebuild segments as Zoho Workflow conditions, static lists, or custom lookup modules.
Evam
Custom Field (Customer)
Zoho CRM
Custom Field
lossyEvam custom properties on Customer records map to Zoho CRM custom fields on the Contact and Account modules. We match data types: text properties to Single-Line, Long-Text, or Multi-Select picklist depending on cardinality; numeric properties to Currency or Decimal fields; date properties to Date fields. We flag any Evam field with no Zoho equivalent for manual configuration before migration. Zoho's 300-field-per-module limit applies.
Evam
Custom Field (Event)
Zoho CRM
Custom Field
lossyEvam extended properties on Event records map to custom fields on Zoho CRM Task and Event modules. We preserve the event payload schema as a set of key-value custom fields and note the original JSON structure in a migration reference document so the customer's admin can restructure as needed in Zoho Analytics.
Evam
Channel Configuration
Zoho CRM
Channel Documentation
1:1Evam Channel records (SMS sender IDs, push notification credentials, in-app notification templates) cannot migrate because credentials are bound to Evam's registered application environment. We document the full channel configuration during discovery: provider name, account ID or API key reference, sender ID format, and template IDs. The customer's operations team uses this checklist to re-register credentials in Zoho CRM before cutover.
Evam
Journey (topology)
Zoho CRM
Workflow Blueprint (reference document)
1:1Evam journey step sequences, branch conditions, wait timers, and entry/exit rules are captured during discovery as a written topology map with step diagrams and rule documentation. This is not migrated as code because Evam has no documented journey export endpoint. We deliver the topology map as a Zoho Blueprint redesign reference for the customer's admin or a Zoho partner to rebuild post-migration.
Evam
AI Predictive Score
Zoho CRM
Zia Score (post-migration)
1:1Evam AI-based propensity scores per customer are computed in Evam's runtime environment and are not accessible via documented API. We cannot migrate these scores. Customers relying on AI-driven journey routing in Evam should plan to configure Zia deal prediction or Zia recommendations in Zoho CRM post-migration. We document the original score distribution (low/medium/high buckets if available from Evam reporting) as a baseline for Zia configuration.
| Evam | Zoho CRM | Compatibility | |
|---|---|---|---|
| Customer | Contact + Account1:many | Fully supported | |
| Customer | Lead1:1 | Fully supported | |
| Event | Task + Event1:many | Fully supported | |
| Campaign | Campaign1:1 | Fully supported | |
| Segment | Custom Field or Taglossy | Fully supported | |
| Custom Field (Customer) | Custom Fieldlossy | Fully supported | |
| Custom Field (Event) | Custom Fieldlossy | Fully supported | |
| Channel Configuration | Channel Documentation1:1 | Fully supported | |
| Journey (topology) | Workflow Blueprint (reference document)1:1 | Fully supported | |
| AI Predictive Score | Zia Score (post-migration)1:1 | 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.
Evam gotchas
Journey logic lacks structured export
AI predictive scores are non-exportable
Event data volume requires selective snapshot strategy
Channel credentials are environment-locked
Zoho CRM gotchas
API access requires Professional tier or above
Subform fields do not export cleanly via CSV
API credit consumption is non-linear
Export download links expire in 7 days
Owner (User) assignments require pre-mapped user IDs
Pair-specific challenges
Migration approach
Discovery and migration scope definition
We audit the Evam portal across Customers, Events, Campaigns, Segments, Channels, and any custom properties. We capture record counts, data freshness, and the full list of active journeys with their step topology. We run a Zoho CRM destination audit to confirm the target module structure, existing custom fields, and available Zoho edition features (Standard, Professional, Enterprise, Ultimate). The discovery output is a written migration scope document: object list, field mapping table, event snapshot window, channel re-setup checklist, and journey topology capture.
Schema design and field mapping
We design the Zoho CRM destination schema: custom fields created before migration with types matched to Evam source fields (text, number, date, picklist), custom modules if needed for Evam custom objects, and Account-Contact-Lookup relationships defined in dependency order. We resolve the Zoho 300-field-per-module and 5-lookup-per-module constraints and present a field exclusion list for the customer's approval. Channel configurations are documented as a re-setup checklist rather than migrated.
Sandbox migration and reconciliation
We run a full migration into a Zoho CRM sandbox environment using a representative data sample (typically 100-500 records per module). The customer's team reconciles record counts, spot-checks field values against the Evam source, and confirms that the Lead-Contact split logic produces the expected record distribution. Mapping corrections happen in sandbox before production migration begins.
Event history scoping and export
We scope the event export to the agreed time window (typically the last 90-180 days) and export via Evam's API using batched requests with exponential backoff to respect rate limits. We aggregate or sample records outside the window to preserve representative journey data without migrating the full event stream. The exported events are transformed into Zoho Task and Event records with custom Event Type fields and original timestamps preserved for Activity timeline ordering.
Production migration in dependency order
We run production migration in record dependency order: Accounts (from Evam organization data), Contacts (with AccountId resolved), Leads (for unqualified prospects), Custom Fields (values populated after Contact and Lead creation), Tasks and Events (event history via batched API insert), Campaigns (with campaign member associations), and Tags or picklist values for segment reconstruction. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, 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 Zoho CRM as the system of record. We validate the Activity timeline, Contact-Account linkage, and Lead distribution with the customer's team. We deliver the written journey topology map and channel re-setup checklist. We support a one-week hypercare window for reconciliation issues. We do not rebuild Evam journey logic as Zoho Blueprint flows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Evam
Source
Strengths
Weaknesses
Zoho CRM
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 Evam and Zoho CRM.
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
Evam: Not publicly documented.
Data volume sensitivity
Evam 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
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