CRM migration

Migrate from APTANIA CRM to Salesforce Sales Cloud

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

APTANIA CRM logo

APTANIA CRM

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

50%

6 of 12

objects map 1:1 between APTANIA CRM and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from APTANIA CRM to Salesforce Sales Cloud is a migration from a manual-export, record-ceiling platform to an API-first enterprise CRM. APTANIA does not publish a public API, so all data extraction relies on in-platform exports that produce CSV or JSON files, which we stage, validate, and transform before loading into Salesforce via the Bulk API. APTANIA's Basic plan enforces a 1000-record monthly ceiling; we flag record counts at scoping and advise customers to archive or clean records before migration to avoid hitting the limit mid-transfer. APTANIA's B2C/B2B flag, pipeline stage assignments, and custom properties migrate to Salesforce as custom fields because Salesforce separates these concepts across Lead, Contact, Account, and Opportunity objects rather than storing them as a single unified record. Email automation rules and web tracking attribution data do not export from APTANIA and are not migrated; we provide a pre-migration checklist that includes screenshot documentation of all active automation rules for manual rebuild in Salesforce Flow.

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

APTANIA CRM logo

APTANIA CRM

What's pushing teams away

  • Pricing is not published — every deal is sales-led, which makes budget planning hard and makes comparison against transparently-priced competitors like Pipedrive or HubSpot uncomfortable for finance teams.
  • Small ecosystem and review footprint — G2 and SourceForge listings exist but with very few public reviews, so prospective buyers cannot easily benchmark the product against mainstream CRMs.
  • Narrow vertical focus on UK commercial property and similar service businesses means firms in other industries lack reference customers and have to absorb more configuration risk.
  • Lack of public case studies and quantified outcomes on the vendor site makes it harder for buyers to justify Aptania over an Aptean, Salesforce, or HubSpot deployment with documented ROI.
  • Limited marketplace of pre-built integrations relative to mainstream CRMs — connectivity beyond the documented REST API typically requires bespoke development through Aptania.

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 APTANIA CRM objects map to Salesforce Sales Cloud

Each row shows how a APTANIA CRM 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.

APTANIA CRM

Contact

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

APTANIA Contact records with a B2C flag map to Salesforce Contact; those with a B2B flag map to Salesforce Contact attached to an Account. APTANIA Contacts that are early-stage prospects (no associated deal history) are treated as Salesforce Leads at migration time. The original APTANIA B2C/B2B flag is preserved in a custom field aptania_contact_type__c on both Lead and Contact for reporting continuity. We apply the split logic during the staging transform phase before inserting into Salesforce.

APTANIA CRM

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

APTANIA Company records map directly to Salesforce Account. Company name is the primary dedupe key during import. Account is created before any Contact import so that the AccountId lookup is satisfied at the moment of Contact insert. The APTANIA company ID is stored in a custom field aptania_company_id__c for reconciliation.

APTANIA CRM

Deal

maps to

Salesforce Sales Cloud

Opportunity

1:1
Fully supported

APTANIA Deals map to Salesforce Opportunity. The deal monetary value maps to Amount, close date to CloseDate, and stage name to StageName. We infer the Salesforce Opportunity Record Type from APTANIA's pipeline assignment during scoping. Deals without an associated Company record in APTANIA create Opportunities without an AccountId and are flagged for manual Account assignment post-migration.

APTANIA CRM

Deal Stage

maps to

Salesforce Sales Cloud

Opportunity Stage

lossy
Fully supported

APTANIA deal stage names are mapped to Salesforce StageName values. We create a Salesforce Sales Process and corresponding stage values that match the APTANIA stage names as closely as possible, preserving stage probability percentages from APTANIA in the Salesforce StageProbability field. The customer reviews and approves the stage mapping before production migration.

APTANIA CRM

Activity (Email, Call, Note)

maps to

Salesforce Sales Cloud

Task and Event

1:1
Fully supported

APTANIA activity logs migrate to Salesforce Task and Event objects. Email activities become Task records with IsTask=false and EmailMessage child records; call activities become Task with TaskSubtype=Call; notes migrate as Salesforce Note records linked via ContentDocumentLink to the parent Contact, Account, or Opportunity. The ActivityDate on each record preserves the original APTANIA timestamp for timeline ordering. Activity schema inference is required because APTANIA's export schema is not publicly documented; we extract what is available and flag any unmapped activity types in the data map.

APTANIA CRM

Pipeline

maps to

Salesforce Sales Cloud

Record Type + Sales Process

lossy
Fully supported

APTANIA pipeline definitions map to Salesforce Record Types on Opportunity. Each APTANIA pipeline becomes a Salesforce Record Type with its own Sales Process that whitelists the relevant stage values. Page Layout assignments are configured per Record Type so that sales reps see the correct fields for each business line. This configuration happens in a Salesforce Sandbox before production migration.

APTANIA CRM

Custom Property

maps to

Salesforce Sales Cloud

Custom Field

lossy
Fully supported

APTANIA custom field values and names are exported and recreated as Salesforce custom fields (with __c suffix) on the corresponding standard object. Field data types are inferred from the exported values (text to Text, numeric to Number, date to Date). The original APTANIA field name is documented in the custom field description for admin reference. Any custom property that cannot be typed from the export (e.g., complex nested objects) is flagged for the customer's admin to design in Salesforce before migration.

APTANIA CRM

User (Team Member)

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

APTANIA user records map to Salesforce User by email address match. The customer provisions Salesforce Users before migration; we reconcile the APTANIA user list against the Salesforce User table and flag any APTANIA owner references that do not have a matching Salesforce User. Unmatched owners are held in a reconciliation queue for admin provisioning before record import resumes.

APTANIA CRM

B2C/B2B Flag

maps to

Salesforce Sales Cloud

Custom Field on Lead and Contact

lossy
Fully supported

APTANIA's B2C/B2B classification does not map to a standard Salesforce field. We preserve it as a custom picklist field aptania_contact_type__c on both Lead and Contact. Customers running mixed B2C/B2B operations use this field to segment reports, build list views, and configure sharing rules post-migration.

APTANIA CRM

Web Traffic Tracking

maps to

Salesforce Sales Cloud

Not Migrated

1:1
Not supported

APTANIA's channel attribution data (referrer, UTM parameters, landing page history) is stored in APTANIA's internal tracking system and is not accessible via export. We do not migrate web tracking data. This gap is documented in the data map and disclosed to the customer before migration. We recommend configuring fresh web tracking in Salesforce via an AppExchange tracking app or a third-party attribution tool (e.g., HubSpot tracking pixel, Google Analytics integration) before go-live to preserve future attribution data.

APTANIA CRM

Email Automation Rules

maps to

Salesforce Sales Cloud

Not Migrated

1:1
Not supported

APTANIA's trigger-based email automation rules do not export. All automation logic is lost at migration time. We provide a pre-migration checklist that includes screenshot documentation of every active automation rule, trigger condition, and associated contact list. The customer's admin uses this as a reference guide to rebuild automation logic in Salesforce Flow or a sales engagement platform (Salesloft, Outreach, or Sales Cloud Engagement) post-migration.

APTANIA CRM

Lifecycle Stage

maps to

Salesforce Sales Cloud

Custom Field on Lead and Contact

lossy
Fully supported

APTANIA lifecycle stage values migrate to a custom picklist field aptania_lifecycle_stage__c on Lead and Contact. This preserves the original stage history for reporting continuity even though Salesforce does not have a native lifecycle stage concept. The field is available for segmentation, list views, and Flow triggers in Salesforce.

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.

APTANIA CRM logo

APTANIA CRM gotchas

High

Per-month record limit creates migration ceiling

High

No public API for automated migration

Medium

Email automation rules do not export

Medium

Web tracking attribution is not portable

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

  • APTANIA has no public API for automated extraction

    APTANIA does not publish API documentation for third-party access, and the platform provides no webhook or event-based export mechanism. All data extraction relies on manual in-platform exports producing CSV or JSON files. We cannot perform delta syncs, verify data integrity post-export without re-exporting, or run incremental migrations. We document the export method used for each migration, validate exported file completeness before staging, and flag any records that appear truncated or incomplete in the export.

  • The 1000-record monthly ceiling forces staged migration

    APTANIA's Basic plan enforces a 1000-record monthly ceiling. Migrations exceeding this limit require either a plan upgrade (to access a higher record allowance) or staged export across billing cycles. We count total record volume during scoping, advise customers to archive or delete inactive records before migration, and stage the export and import across billing periods if the ceiling cannot be lifted. Over-limit records are held in a queue and processed in the next billing period.

  • Activity schema is not publicly documented

    APTANIA's activity log schema (emails, calls, notes) is not publicly documented, so the exact field names and structure available for export are discovered only at export time. We infer the activity schema from the exported files and map what is available to Salesforce Task and Event. Any activity types that cannot be mapped (e.g., custom activity subtypes) are flagged in the data map. Customers who rely on specific APTANIA activity fields should review the exported activity data before migration to confirm what is available.

  • Validation rules and field-level security can block Salesforce import

    Salesforce orgs commonly enforce validation rules (required field formats, conditional requirements, picklist whitelists) and field-level security that can cause record rejection during import. We coordinate with the customer's Salesforce admin to grant the migration user the Bulk API permission set and temporarily disable blocking validation rules during the data load, or extend rules with a migration-context bypass. Skipping this step results in 5-30 percent record rejection on first import attempt.

  • Email automation and web tracking data do not export

    APTANIA's email trigger automation and web channel attribution data are not portable. Automation rules (trigger conditions, delays, email sequences) and web tracking data (referrer, UTM source, landing page) are lost at migration. We document the full list of active automation rules with screenshots in a pre-migration checklist, and we recommend configuring fresh web tracking in the destination platform before go-live. This is not a migration failure but an expected data gap that the customer must address with manual rebuild.

Migration approach

Six steps for a successful APTANIA CRM to Salesforce Sales Cloud data migration

  1. Discovery and scoping

    We audit the APTANIA CRM account to count total record volumes (Contacts, Companies, Deals, Activity records), identify the B2C/B2B split distribution, list all custom properties, and capture pipeline and stage definitions. We also assess whether the record count exceeds the 1000-record monthly ceiling and advise on archiving or upgrading. The discovery output is a written migration scope with a record count reconciliation baseline, a B2C/B2B mapping strategy, and a Salesforce edition recommendation (Professional at $80/user for most migrations, Enterprise at $165/user if Flow at scale or advanced reporting types are required).

  2. Export extraction and schema inference

    Because APTANIA has no public API, we work with the customer to run manual in-platform exports of Contacts, Companies, Deals, Activities, and custom properties. We extract the files in their native format (CSV or JSON), validate the record counts against the discovery baseline, and flag any export anomalies such as truncated fields or missing records. We infer the activity log schema from the exported files since APTANIA does not publish schema documentation. The export method used is documented in the data map for audit purposes.

  3. Sandbox staging and data cleansing

    We stage the exported data in a Salesforce Sandbox (Full Copy or Partial Copy) for reconciliation. This includes creating the Salesforce custom fields (aptania_contact_type__c, aptania_lifecycle_stage__c, aptania_company_id__c) and configuring Record Types and Sales Processes to match APTANIA's pipeline definitions. We run a data quality check identifying duplicates, incomplete records, and inconsistent formats, and produce a cleansing report for the customer's admin to address before production migration.

  4. Owner reconciliation and User provisioning

    We extract every distinct APTANIA owner referenced on Contact, Company, Deal, and Activity records and match by email against the Salesforce destination org's User table. Any APTANIA owner without a matching Salesforce User is held in a reconciliation queue. The customer's Salesforce admin provisions the missing Users (active or inactive depending on the original APTANIA user's status). Migration cannot proceed past Activity import because OwnerId references are required on most standard Salesforce objects.

  5. Production migration in dependency order

    We run the production migration in record-dependency order: Users (manually provisioned, validated), Accounts (from APTANIA Companies), Contacts (with AccountId resolved and B2C/B2B flag applied), Leads (from APTANIA early-stage Contacts), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Activity history (Tasks, Events, Notes via Salesforce Bulk API 2.0), and Custom Properties (mapped to custom fields). Each phase emits a row-count reconciliation report before the next phase begins. Validation rules are disabled or bypassed during the load and re-enabled after each phase.

  6. Cutover, validation, and automation rebuild handoff

    We freeze APTANIA 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 automation documentation checklist (screenshots of all active APTANIA automation rules) and the data gap disclosure (web tracking, email triggers) to the customer's admin team. We support a one-week hypercare window for reconciliation issues. We do not rebuild APTANIA automations as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.

Platform deep dives

Context on both ends of the pair

APTANIA CRM logo

APTANIA CRM

Source

Strengths

  • Combines B2C and B2B customer management in a single platform
  • Built-in email automation triggered by customer activity or inactivity
  • Web traffic monitoring with channel attribution
  • Unified customer data view across sales and marketing
  • 30-day free trial with no credit card required

Weaknesses

  • No public API documentation limits migration automation
  • Small team plan caps at 2 users and 1000 records per month
  • Pricing not published beyond Basic tier
  • Email automation rules cannot be exported or migrated
  • Web tracking attribution data is not portable between platforms
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 APTANIA CRM 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

    APTANIA CRM: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your APTANIA CRM 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 APTANIA CRM to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during APTANIA CRM to Salesforce Sales Cloud 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 total records with clean exports and no staged billing cycles. Migrations with record counts near the 1000-record ceiling requiring staged export across billing periods, large activity histories (over 200,000 records), or significant data cleansing requirements move to eight to twelve weeks. The lack of a public API on APTANIA's side is the primary variable: exports must be run manually, which adds coordination overhead but does not fundamentally change the timeline.

Adjacent paths

Related migrations to explore

Ready when you are

Move from APTANIA CRM.
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