CRM migration

Migrate from Anthill CRM to Salesforce Sales Cloud

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 logo

Anthill CRM

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

54%

7 of 13

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

Complexity

BStandard

Timeline

4-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

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

Anthill CRM logo

Anthill CRM

What's pushing teams away

  • Customers report that Anthill does not integrate natively with external systems like dealer management platforms, forcing teams to maintain separate tools and re-enter data manually.
  • Some reviewers note the dashboard UI could be more flexible and that additional filters would help surface insights without exporting to external tools for further processing.
  • A steep learning curve in certain workflow and customisation areas has been cited as a barrier for teams that need to onboard quickly, with users noting it takes longer than expected to configure advanced automations.
  • Multiple reviews mention glitches appearing during live operation that only surfaced after the testing phase, suggesting gaps in the pre-deployment validation environment for heavily customised configurations.

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 Anthill CRM objects map to Salesforce Sales Cloud

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

maps to

Salesforce Sales Cloud

Lead or Opportunity (split required)

1:many
Fully supported

Anthill 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

maps to

Salesforce Sales Cloud

Account and Contact

1:many
Fully supported

Anthill 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)

maps to

Salesforce Sales Cloud

User, Queue, or Role

lossy
Fully supported

Anthill 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

maps to

Salesforce Sales Cloud

Record Type + Sales Process + Stage

lossy
Fully supported

Anthill 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

maps to

Salesforce Sales Cloud

Opportunity StageName

lossy
Fully supported

Anthill 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)

maps to

Salesforce Sales Cloud

Task, Event, EmailMessage

1:1
Fully supported

Anthill 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)

maps to

Salesforce Sales Cloud

Custom Field

1:1
Fully supported

Anthill 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

maps to

Salesforce Sales Cloud

Salesforce Flow (written inventory)

1:1
Fully supported

Anthill 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

maps to

Salesforce Sales Cloud

Salesforce Reports and Dashboards (manual rebuild)

1:1
Fully supported

Anthill 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

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Anthill 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

maps to

Salesforce Sales Cloud

Lead Status and Opportunity Stage

lossy
Fully supported

Anthill 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)

maps to

Salesforce Sales Cloud

Quote

1:1
Fully supported

If 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)

maps to

Salesforce Sales Cloud

Product2 + PricebookEntry

1:1
Fully supported

If 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.

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.

Anthill CRM logo

Anthill CRM gotchas

High

Dashboard configurations cannot be exported via API

High

Workflow-as-pipeline model requires structural remapping

Medium

No publicly documented API rate limits or bulk-export endpoint

Medium

Custom properties schema not publicly documented

Low

Glitches and steep learning curve in advanced customisation areas

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

  • Workflow-to-pipeline remap requires explicit design before import

    Anthill's workflow stream states have no direct Salesforce equivalent — they are not columns in a pipeline but rather named process stages attached to a workflow definition. If this remap is not designed before migration, records land flat in Salesforce with no stage history, making the pipeline meaningless. We extract every Anthill workflow definition during discovery, generate a workflow-to-pipeline mapping document, configure Salesforce Record Types and Sales Processes, and apply them before the first Opportunity import. This design step is non-negotiable and must be signed off before production migration begins.

  • Dashboard configurations cannot be exported from Anthill

    Anthill's live interactive dashboards are stored as internal configuration files in the platform's visualisation engine and are not accessible via the SOAP or JSON API. There is no documented export endpoint. We flag this gap during scoping and conduct a dashboard audit — we document the layout, widget types, filters, date ranges, and underlying data sources from the live system. The customer uses this documentation to rebuild the most critical dashboards manually in Salesforce Reports and Dashboards, or they can engage our professional services team for a managed rebuild.

  • No bulk-export endpoint or published rate limits in Anthill API

    Anthill's JSON API provides a per-Enquiry creation endpoint but no documented bulk-read or batch operation. Rate limits, daily quotas, and burst allowances are not published. For migrations involving more than a few thousand records, we proceed conservatively with staggered API pulls and use CSV exports as a parallel path where object schemas allow, cross-validating API data against the export after extraction. This approach prevents rate-limit-triggered failures that would otherwise restart mid-migration and risk record duplication.

  • Custom field schema not publicly documented in Anthill

    Anthill supports custom fields per object but does not publish a field reference or schema catalogue. We pull the actual field inventory by introspecting API response payloads during discovery. Any custom fields found are individually mapped, with picklist values cross-referenced against Salesforce options. Fields with no Salesforce equivalent are flagged in the mapping document for the customer to decide whether to carry them forward as custom fields or archive them. This discovery step adds time to scoping but prevents silent field drops at migration time.

  • Automations tied to workflow state transitions do not migrate as code

    Anthill automations trigger notifications and email/SMS sequences based on specific workflow state transitions and are scoped to Anthill's workflow engine. Salesforce Flow is a different automation model with different triggers, actions, and limits. We do not migrate automations as code. We deliver a written inventory of every active Anthill Automation — trigger, conditions, actions, and recipient — with a recommended Salesforce Flow equivalent for the customer's admin to rebuild. This inventory is part of the standard migration deliverable.

Migration approach

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Anthill CRM logo

Anthill CRM

Source

Strengths

  • Workflow-centric design maps naturally to businesses with complex, multi-team customer processes.
  • Unlimited storage, workflows, dashboards, and automations on all tiers removes record-count anxiety.
  • Dedicated CRM Success Manager and free onboarding on 11+ user deployments provides structured go-live support.
  • JSON and SOAP APIs provide programmatic access to Enquiries, Customers, and other core objects.
  • Integrates with Sage, Google Analytics, and WordPress, covering common SME stacks.

Weaknesses

  • Dashboard configurations are not exportable — they must be manually recreated in the destination.
  • No native integrations with some external systems (e.g. dealer management platforms), limiting data synchronisation options.
  • Public API documentation is thin; no published rate limits, bulk-export endpoints, or field reference guide.
  • The workflow-as-pipeline model requires careful remapping when migrating to column-based CRM platforms.
  • Review corpus is small (24 verified reviews) — limited third-party evidence for deep technical due diligence.
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 Anthill 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

    Anthill CRM: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Anthill 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 Anthill CRM to Salesforce Sales Cloud data migrations

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

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Most Anthill CRM migrations land between four and eight weeks for accounts under 20,000 Enquiries and 5,000 Customers with a clean, documented workflow structure. Migrations with complex multi-team workflow trees, extensive custom field schemas, large activity histories, or destination Salesforce orgs requiring custom object provisioning move to ten to sixteen weeks because of the workflow-state extraction, schema design, and sandbox validation phases. Discovery alone takes two to four weeks regardless of size.

Adjacent paths

Related migrations to explore

Ready when you are

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