CRM migration
Field-level mapping, validation, and rollback between Anthill CRM and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.
Anthill CRM
Source
Salesforce Sales Cloud
Destination
Compatibility
7 of 13
objects map 1:1 between Anthill CRM and Salesforce Sales Cloud.
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from Anthill CRM to Salesforce is a structural migration, not a record copy. Anthill represents deal progression through Workflow stream states organized by Sales, Admin, and Support teams, while Salesforce uses column-based Opportunity pipelines with separate Lead and Contact objects. We extract each workflow's stage definitions during discovery, generate a workflow-to-pipeline mapping document, and apply it before the first import run so that records land with stage history intact rather than flat. Anthill's JSON and SOAP APIs expose Enquiries, Customers, and Activities, but the platform does not publish bulk-export endpoints, documented rate limits, or a field reference catalogue, so we proceed conservatively with staggered API pulls and cross-validate against CSV exports where object schemas allow. Dashboards cannot be exported at all; we document the layout and metrics for manual rebuild. Automations tied to workflow state transitions do not migrate as code; we deliver a written inventory for the customer's admin to rebuild in Salesforce Flow.
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 Anthill 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.
Anthill CRM
Enquiry
Salesforce Sales Cloud
Lead or Opportunity (split required)
1:manyAnthill Enquiries are the primary intake object and feed into a workflow stream on creation. We split Enquiries into Salesforce Lead (for early-stage, unqualified records) and Salesforce Opportunity (for Enquiries that have progressed past a defined workflow threshold set during scoping). The split rule uses workflow state names and a status threshold defined in the discovery mapping document. The original Enquiry ID and workflow stream name are preserved in custom fields enq_original_id__c and enq_workflow_stream__c for audit and cross-referencing.
Anthill CRM
Customer
Salesforce Sales Cloud
Account and Contact
1:manyAnthill Customer records hold contact and company data. We map company-level data (company name, address, industry) to Salesforce Account and contact-level data (name, email, phone, role) to Salesforce Contact, linking Contact to Account via AccountId. Anthill's per-customer notes migrate as Salesforce Notes attached to the Contact. If a Customer record has no named contact (e.g. a company-only record), it creates an Account with no associated Contact and is flagged for the customer to decide whether to add a contact owner.
Anthill CRM
Team (Sales, Admin, Support)
Salesforce Sales Cloud
User, Queue, or Role
lossyAnthill organizes actions and record assignments by team — Sales, Admin, Support. Salesforce has no direct Team object; we map this to a combination of User records (one per Anthill team member) and either a Salesforce Queue per team (for case and lead routing) or Role hierarchy (for territory-based reporting). The customer chooses the mapping strategy during scoping based on how they use Anthill teams day-to-day. The team association on each record migrates as a custom picklist field team_original__c so that the admin can use it in reports.
Anthill CRM
Workflow
Salesforce Sales Cloud
Record Type + Sales Process + Stage
lossyAnthill Workflows define every customer interaction process with state-based transitions and team-level action allocations. Because workflows are configuration-heavy, we do not migrate them as code. We extract every unique workflow definition from the Anthill API during discovery, document the state names, transition rules, and team assignments, and use this to configure Salesforce Record Types (one per Anthill workflow) and Sales Processes with stage values that match the workflow states. This is the core structural remap that distinguishes an Anthill-to-Salesforce migration from a simple record copy.
Anthill CRM
Workflow State
Salesforce Sales Cloud
Opportunity StageName
lossyAnthill workflow stream states map to Salesforce Opportunity StageName values. We extract the full list of state names from each workflow definition during discovery, rank them by progression order, and map them to Salesforce Stage entries. Stage probability percentages are assigned based on the original Anthill workflow state's estimated close likelihood, rounded to the nearest integer per Salesforce's constraints. The mapping document generated during scoping is applied before any Opportunity import runs.
Anthill CRM
Activity (calls, emails, meetings, tasks)
Salesforce Sales Cloud
Task, Event, EmailMessage
1:1Anthill Activities tied to Enquiries and Customers represent touchpoints across the customer journey. We map phone call activities to Salesforce Task with TaskSubtype = Call and CallDurationInSeconds in a custom field. Meeting activities map to Salesforce Event with StartDateTime, EndDateTime, and Location preserved. Email activities map to Salesforce EmailMessage (the content) linked to a Task record (the timeline entry). Anthill does not expose a documented activity-history bulk export; we pull activity records via the per-Enquiry API with staggered requests and cross-validate against any CSV export available per object.
Anthill CRM
Custom Property (per object)
Salesforce Sales Cloud
Custom Field
1:1Anthill supports custom fields per object but does not publish a field reference catalogue. During discovery we introspect the actual API response payloads to pull the live field inventory for every object. Each custom field found is individually mapped to a Salesforce custom field with the equivalent data type (text, number, date, picklist, checkbox). Picklist values are cross-referenced against Salesforce's allowed values. Fields with no Salesforce equivalent are flagged for the customer to decide whether to carry them forward as a custom field or archive them. API name follows Salesforce convention with __c suffix.
Anthill CRM
Automation
Salesforce Sales Cloud
Salesforce Flow (written inventory)
1:1Anthill Automations trigger personalised notifications and email/SMS sequences based on workflow state transitions. Because automations are workflow-scoped and reference Anthill-specific contact properties, they cannot be migrated as code to Salesforce Flow. We deliver a written inventory of every active Anthill Automation with its trigger (workflow state name), conditions, actions (notification type, recipient, message), and a recommended Salesforce Flow equivalent. The customer's admin or a Salesforce partner rebuilds the automations post-migration.
Anthill CRM
Dashboard
Salesforce Sales Cloud
Salesforce Reports and Dashboards (manual rebuild)
1:1Anthill live, interactive role-based dashboards are configuration files tied to the platform's internal visualisation engine and are not exposed via the SOAP or JSON APIs. We do not migrate dashboards as data. We conduct a dashboard audit during discovery, documenting the layout, widget types, filters, date ranges, and underlying data sources for each Anthill dashboard so the customer's admin can rebuild the most critical ones in Salesforce Reports and Dashboards or Analytics Cloud. For customers requesting full rebuild support, this can be scoped as a separate professional services engagement.
Anthill CRM
User
Salesforce Sales Cloud
User
1:1Anthill Users map to Salesforce User records. We resolve Anthill users by email match against the Salesforce destination org's User table. Team associations (Sales, Admin, Support) migrate as a custom picklist field team_role__c. Any Anthill User without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Inactive Anthill users can be migrated as inactive Salesforce Users to preserve assignment history.
Anthill CRM
Enquiry Status
Salesforce Sales Cloud
Lead Status and Opportunity Stage
lossyAnthill Enquiry status values (e.g. New, In Progress, Awaiting Response, Closed Won, Closed Lost) map to a combination of Salesforce Lead Status (for records in the Lead object) and Opportunity StageName (for records that have progressed to Opportunity). The mapping table is generated during scoping by inspecting the Anthill workflow state definitions and assigning each state a position in the destination pipeline.
Anthill CRM
Quote (if applicable)
Salesforce Sales Cloud
Quote
1:1If Anthill is used for quote generation, Quote records migrate to Salesforce Quote, available from the Professional tier in Sales Cloud. Quote PDFs and any attached files migrate as ContentDocument records linked to the Quote via ContentDocumentLink. Quote line items map to OpportunityLineItem once the parent Opportunity is created and a Pricebook2 is assigned.
Anthill CRM
Product (if applicable)
Salesforce Sales Cloud
Product2 + PricebookEntry
1:1If Anthill holds product catalogue data, Products migrate to Salesforce Product2 records with Standard Price Book entries created during import. ProductCode, description, and pricing fields migrate directly. A Pricebook2 is assigned before line items are imported so that OpportunityLineItem records have a valid PricebookReference.
| Anthill CRM | Salesforce Sales Cloud | Compatibility | |
|---|---|---|---|
| Enquiry | Lead or Opportunity (split required)1:many | Fully supported | |
| Customer | Account and Contact1:many | Fully supported | |
| Team (Sales, Admin, Support) | User, Queue, or Rolelossy | Fully supported | |
| Workflow | Record Type + Sales Process + Stagelossy | Fully supported | |
| Workflow State | Opportunity StageNamelossy | Fully supported | |
| Activity (calls, emails, meetings, tasks) | Task, Event, EmailMessage1:1 | Fully supported | |
| Custom Property (per object) | Custom Field1:1 | Fully supported | |
| Automation | Salesforce Flow (written inventory)1:1 | Fully supported | |
| Dashboard | Salesforce Reports and Dashboards (manual rebuild)1:1 | Fully supported | |
| User | User1:1 | Fully supported | |
| Enquiry Status | Lead Status and Opportunity Stagelossy | Fully supported | |
| Quote (if applicable) | Quote1:1 | Fully supported | |
| Product (if applicable) | Product2 + PricebookEntry1:1 | 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.
Anthill CRM gotchas
Dashboard configurations cannot be exported via API
Workflow-as-pipeline model requires structural remapping
No publicly documented API rate limits or bulk-export endpoint
Custom properties schema not publicly documented
Glitches and steep learning curve in advanced customisation areas
Salesforce Sales Cloud gotchas
Workflow Rules and Process Builder are retired
Bulk API batch quota exhaustion during large imports
Storage overage billing is non-obvious
Account-Contact many-to-many relationship mapping
Territory and team member import ordering dependencies
Pair-specific challenges
Migration approach
Discovery and workflow extraction
We audit the source Anthill CRM portal across all objects — Enquiries, Customers, Activities, Users, Teams, Workflow definitions, Automations, and custom properties — by introspecting the live API responses. We extract every workflow definition and document the state names, transition rules, team assignments, and stage order. We pull a field inventory for all standard and custom properties per object. We conduct a dashboard audit to document layouts and metrics for manual rebuild. The discovery output is a written migration scope, a workflow-to-pipeline mapping document, and a Salesforce edition recommendation based on the customer's data model complexity.
Schema design and Salesforce Sandbox provisioning
We design the destination schema in Salesforce. This includes provisioning custom fields (with Salesforce field types matched to Anthill field types), Record Types (one per Anthill workflow), Sales Processes with Stage entries mapped from Anthill workflow states, Page Layouts per Record Type, and a custom picklist field team_original__c for team association history. We also configure the Lead Status values and any picklist mapping tables. Schema is deployed via Salesforce metadata API or change set into a Salesforce Sandbox (Full Copy) first for validation before any production migration begins.
Sandbox migration and reconciliation
We run a full migration into the Salesforce Sandbox using production-like data volume. The customer's RevOps lead reconciles record counts (Leads in, Opportunities in, Accounts in, Contacts in, Tasks and Events in), spot-checks 25-50 random records against the Anthill source, and reviews the stage assignments on migrated Opportunities against the workflow-to-pipeline mapping document. Any mapping corrections are applied to the schema design before production migration begins. No production records are touched in this phase.
User and team provisioning
We extract every distinct Anthill User and map them by email to Salesforce User records in the destination org. Team associations (Sales, Admin, Support) are preserved as a custom picklist value in team_original__c. Any Anthill User without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Queues or Role hierarchy assignments per team are configured based on the mapping strategy chosen during scoping. Migration cannot proceed past this step because OwnerId references are required on most standard objects.
Production migration in dependency order
We run production migration in record-dependency order: Salesforce Users (validated against the provisioning queue), Accounts (from Anthill Customers), Contacts (with AccountId resolved), Leads and Opportunities (with the workflow-to-pipeline mapping applied and the split rule executed), Activities (Tasks, Events, EmailMessages via Bulk API 2.0 with staggered batches), Custom Fields (resolved against the field inventory from discovery), and any Quote or Product data. Each phase emits a row-count reconciliation report before the next phase begins. We run a delta pass at the end to capture any records modified during the migration window.
Cutover, validation, and automation handoff
We freeze Anthill writes during cutover, run the final delta migration, then enable Salesforce as the system of record. We deliver the automation inventory document to the customer's admin team with recommended Salesforce Flow equivalents for each Anthill Automation. We deliver the dashboard audit document with layout and metric documentation for manual rebuild in Salesforce Reports and Dashboards. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Anthill automations as Salesforce Flow inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Anthill CRM
Source
Strengths
Weaknesses
Salesforce Sales Cloud
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 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 Anthill CRM and Salesforce Sales Cloud.
Object compatibility
2 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
Anthill CRM: Not publicly documented.
Data volume sensitivity
Anthill CRM 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
Pick a category, then your source and destination platforms.
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