CRM migration

Migrate from Evam to Zoho CRM

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

Evam logo

Evam

Source

Zoho CRM

Destination

Zoho CRM logo

Compatibility

50%

5 of 10

objects map 1:1 between Evam and Zoho CRM.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Zoho CRM logo

Zoho CRM

What's pulling them in

  • Free tier is genuinely usable for up to 3 users with leads, pipeline management, and email tracking — no credit card required, making it easy to evaluate before committing.
  • Pricing undercuts Salesforce by 80–90% at equivalent feature tiers, with Enterprise plans offering capabilities that cost 3–4× more on competing platforms.
  • Deep ecosystem of 45+ integrated apps (Books, Desk, Creator, Campaigns) means companies already in the Zoho suite get native integrations without third-party connectors.
  • Highly customizable: custom modules, custom fields, Canvas drag-and-drop layouts, and Blueprint workflow automation without requiring developer resources.
  • Small-business reviewers highlight real-time team visibility, daily time savings of 60–90 minutes, and the ability to mold the CRM to any industry vertical.

Object mapping

How Evam objects map to Zoho CRM

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

maps to

Zoho CRM

Contact + Account

1:many
Fully supported

Evam 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

maps to

Zoho CRM

Lead

1:1
Fully supported

For 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

maps to

Zoho CRM

Task + Event

1:many
Fully supported

Evam 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

maps to

Zoho CRM

Campaign

1:1
Fully supported

Evam 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

maps to

Zoho CRM

Custom Field or Tag

lossy
Fully supported

Evam 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)

maps to

Zoho CRM

Custom Field

lossy
Fully supported

Evam 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)

maps to

Zoho CRM

Custom Field

lossy
Fully supported

Evam 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

maps to

Zoho CRM

Channel Documentation

1:1
Fully supported

Evam 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)

maps to

Zoho CRM

Workflow Blueprint (reference document)

1:1
Fully supported

Evam 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

maps to

Zoho CRM

Zia Score (post-migration)

1:1
Fully supported

Evam 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.

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

Zoho CRM logo

Zoho CRM gotchas

High

API access requires Professional tier or above

High

Subform fields do not export cleanly via CSV

Medium

API credit consumption is non-linear

Medium

Export download links expire in 7 days

Medium

Owner (User) assignments require pre-mapped user IDs

Pair-specific challenges

  • Journey logic has no structured export mechanism

    Evam encodes journey definitions as step sequences, branch conditions, wait timers, and entry/exit rules without exposing them via a documented export endpoint. Attempting to migrate journey logic automatically would require reverse-engineering from event data alone, which is unreliable. We document every active journey's topology during discovery as a written step-by-step map with condition logic. The customer or a Zoho partner rebuilds journeys as Zoho Blueprint process flows post-migration. We do not deliver journey automation as code from Evam.

  • AI predictive scores are non-exportable from Evam

    Evam's AI-based propensity scores are computed per-customer within Evam's runtime 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 Zoho CRM using Zia deal prediction (available from Professional tier) or accept a scoring-free reset on day one. We capture any score distribution data available in Evam reports as a pre-migration baseline for Zia configuration.

  • Event data volume requires selective snapshot scoping

    Evam processes billions of touchpoints. Attempting to export the full historical event stream in one pass will hit API quotas and produce a dataset too large to validate. We scope the event export to a defined time window (typically the last 90-180 days) and aggregate or sample older event data, preserving representative records for journey reconstruction while keeping migration scope manageable. We agree on the window with the customer during scoping.

  • Zoho field and module limits may constrain migration scope

    Zoho CRM enforces a maximum of 300 fields per module and 5 lookup fields per module. Evam customers with extensive custom properties on Customer or Event records may exceed these limits. We audit the full Evam field inventory during discovery, flag fields that exceed Zoho limits, and present options: split across modules, use multi-select picklists for related values, or accept that some low-value custom fields are excluded from migration.

Migration approach

Six steps for a successful Evam to Zoho CRM data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

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.
Zoho CRM logo

Zoho CRM

Destination

Strengths

  • Generous free tier (3 users) with real CRM functionality — no artificial feature restrictions that prevent valid use cases.
  • Per-seat pricing is transparent and predictable; no contact-based billing surprises that inflate monthly invoices.
  • Blueprint visual workflow builder lets sales ops teams automate stage progressions without developer involvement.
  • Canvas drag-and-drop layout editor lets non-technical users customize module views and forms per role.
  • Active development cadence: API v8 is well-documented, supports bulk endpoints, and COQL queries handle complex filtering.

Weaknesses

  • Poor support quality and inconsistent SLA — Enterprise tier requires 50+ user minimum for Priority Phone support.
  • Daily export limits in the UI vary by plan tier, making large dataset extraction slow and planning-dependent.
  • Zia AI features are gated behind $40+/user Enterprise tier, not available to most SMB customers who chose Zoho for cost savings.
  • User-reported occasional UI inconsistencies and performance slowdowns on large datasets with many custom fields.
  • No EU-hosted option limits appeal for GDPR-sensitive companies; some competitors offer data residency guarantees Zoho does not.

Complexity grading

How hard is this migration?

Standard CRM migration. 1 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 Zoho CRM.

  • Object compatibility

    B

    1 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 Zoho CRM 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 Zoho CRM data migrations

Answers to the questions buyers ask most during Evam to Zoho CRM migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for accounts under 10,000 customers, 50,000 events (90-day snapshot window), and no custom modules. Migrations with larger event histories (180-day window), multiple active journey topologies to document, custom modules to configure in Zoho, or a complex Account-Contact hierarchy move to six to ten weeks because of event scoping, sandbox reconciliation, and Zoho Blueprint design time.

Adjacent paths

Related migrations to explore

Ready when you are

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Land in Zoho CRM, intact.

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