CRM migration

Migrate from Act-On to Salesforce Sales Cloud

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

Act-On logo

Act-On

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

67%

8 of 12

objects map 1:1 between Act-On and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

5-8 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Act-On to Salesforce is a platform-type shift: Act-On is a marketing automation system centred on Contacts, Companies, and automated Programs; Salesforce Sales Cloud is a full CRM that adds Leads, Accounts, Opportunities, and a structured pipeline. We resolve the model difference during discovery, splitting Act-On contacts by lifecycle stage and routing them to Salesforce Leads or Contacts attached to Accounts. Engagement scores migrate as static numeric values; the Act-On scoring formulas do not transfer. Automated Programs (multi-step nurture sequences) are documented as reference blueprints rather than migrated code. We use the Salesforce Bulk API 2.0 for large engagement histories and handle Act-On's undocumented throttling with exponential backoff and batch chunking. Workflows, Sequences, and email templates do not migrate; we deliver a written inventory of every active Program and its recommended Salesforce Flow equivalent for the customer's admin to rebuild.

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

Act-On logo

Act-On

What's pushing teams away

  • Feature gaps in email composer quality and CRM integration force teams to layer on additional tools, increasing stack complexity and cost.
  • Performance and reporting depth lag behind competitors at similar price points, making it harder to justify ROI to leadership.
  • Pricing is perceived as high relative to the value delivered, especially as teams scale contact volumes and hit tier limitations.
  • Users report that Act-On feels less suitable as companies grow beyond mid-market requirements and need more sophisticated pipeline management.

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 Act-On objects map to Salesforce Sales Cloud

Each row shows how a Act-On 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.

Act-On

Contact

maps to

Salesforce Sales Cloud

Lead or Contact (split required)

1:many
Fully supported

Act-On Contacts with lifecycle stage of prospect or unknown map to Salesforce Lead. Contacts with lifecycle stage of customer, evangelist, or partner map to Salesforce Contact tied to a Salesforce Account. We compute the split using Act-On's lifecycle_stage property and preserve the original value in a custom field ao_original_lifecycle__c on both Lead and Contact for audit. The customer approves the split matrix during discovery before any data moves.

Act-On

Company

maps to

Salesforce Sales Cloud

Account

1:1
Fully supported

Act-On Company records map directly to Salesforce Account. The Company name becomes Account.Name; industry and custom company fields migrate to standard or custom Account fields. Account is created before Contact import so that AccountId lookup is satisfied at Contact insert time.

Act-On

List

maps to

Salesforce Sales Cloud

Campaign or Multi-Select Picklist

lossy
Fully supported

Act-On Lists are audience segments used for targeting campaigns. Static Lists migrate as Salesforce Campaign records with Campaign Members seeded from the Contact/Lead mapping. Dynamic Lists cannot replicate their rule logic; we document the segment criteria as a reference and the customer rebuilds as a Salesforce Campaign or Smart List. List membership for small static lists migrates as a multi-select picklist or tag field on the Contact/Lead.

Act-On

Engagement Score

maps to

Salesforce Sales Cloud

Custom Number Field on Lead/Contact

1:1
Fully supported

Act-On calculates engagement scores using proprietary weighting across email opens, clicks, page visits, and form submissions. The calculation rules do not export. We migrate the current numeric score as a static integer in a custom field ao_engagement_score__c on Lead and Contact. The customer configures Salesforce-native scoring (Einstein Lead Scoring or a custom Flow-based scoring model) post-migration.

Act-On

Custom Data Schema / Custom Objects

maps to

Salesforce Sales Cloud

Custom Object (__c)

1:1
Mapping required

Act-On's Custom Data Schema defines user-defined field extensions per object. We read the schema definition via Act-On's API, export all existing records, and write them to Salesforce custom objects with equivalent API names (__c suffix). The destination schema is pre-created in a Sandbox before any data import, including custom field types, lookup relationships, and validation rules.

Act-On

Email (content and send history)

maps to

Salesforce Sales Cloud

EmailTemplate or ContentDocument

1:1
Fully supported

Act-On email content, subject lines, and send history are accessible via API. HTML email bodies migrate as ContentDocument records linked to the relevant Account, Contact, or Campaign. Email templates do not migrate as live templates; we deliver a content inventory document listing subject, body copy, and images for the customer's admin to recreate in Salesforce Email Templates or Marketing Cloud.

Act-On

Form (web forms)

maps to

Salesforce Sales Cloud

Web-to-Lead or Experience Cloud Form

lossy
Fully supported

Act-On web form field definitions and submission data migrate; the form embed code does not transfer. We deliver a form field inventory mapping each Act-On form field to a Salesforce field and recommend Salesforce Web-to-Lead (standard) or Experience Cloud Form Builder (if the customer licenses Experience Cloud) as the replacement implementation.

Act-On

Activity: Email opens, clicks, form submissions

maps to

Salesforce Sales Cloud

Task or Event

1:1
Fully supported

Act-On logs email opens, clicks, form submissions, and other behavioural events as timestamped activity records. We export activity history as Task records linked to the Contact or Lead, with the original engagement type (open, click, form_submission) preserved in a custom Task field ao_engagement_type__c. Volume can be large; we chunk by date range and use Bulk API 2.0.

Act-On

Activity: Calls, Meetings logged in Act-On

maps to

Salesforce Sales Cloud

Task (TaskSubtype = Call) or Event

1:1
Fully supported

Call logs from Act-On map to Salesforce Task with TaskSubtype = Call. Duration, disposition, and any notes migrate to custom Task fields. Meeting records map to Salesforce Event with StartDateTime, EndDateTime, and Location preserved. Attendee resolution is limited by Act-On's API; we link to the primary Contact or Lead only.

Act-On

Tag

maps to

Salesforce Sales Cloud

Multi-Select Picklist or Topic

lossy
Fully supported

Act-On Contact and Company tags export as label arrays. We map them to Salesforce multi-select picklist fields on Lead and Contact for operational use, or to Salesforce Topics with TopicAssignment records for content classification. The customer chooses the tag strategy during scoping.

Act-On

Owner

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Act-On owners (users who own contacts, companies, and programs) map to Salesforce User records by email match. Any Act-On Owner without a matching Salesforce User is held in a reconciliation queue for the customer's admin to provision before record import resumes.

Act-On

Program (Automated Workflow)

maps to

Salesforce Sales Cloud

Documentation only

1:1
Fully supported

Act-On Programs define multi-step nurture sequences stored server-side. They are not accessible via the API and cannot be migrated as code. We export all Contact data within each Program (who entered, when, which branch they took) as a historical record and deliver a Program blueprint document listing sequence steps, entry criteria, delays, and actions. The customer's admin rebuilds the Program in Salesforce Flow using that document as reference.

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.

Act-On logo

Act-On gotchas

High

ACT! desktop CRM and Act-On marketing automation are different products

Medium

Automated Program logic does not export

Medium

Engagement score formulas are not transferable

Low

Bulk API is not publicly documented

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

  • Confirm product name: ACT! vs Act-On

    A persistent confusion conflates ACT! (a desktop/cloud CRM by Swiftpage) with Act-On (a separate marketing automation SaaS by Act-On Software). These have different data models, different APIs, and different export paths. We confirm the exact product name, subdomain, and account type during discovery before designing the migration schema. Mixing them up leads to a failed or corrupt migration. Source: Act-On platform documentation and migration scoping experience.

  • Automated Program logic does not export

    Act-On's Program builder defines multi-step nurture sequences with branching, delays, and CRM actions. These workflow definitions are stored server-side and are not accessible via the API. We export all contact data within each Program (who entered, when, which branch they took) as a historical record, but the Program itself must be rebuilt in Salesforce using that data as a reference blueprint. We do not migrate Programs as code.

  • Engagement score formulas are not transferable

    Act-On calculates engagement scores using proprietary weighting rules across email opens, clicks, page visits, and form submissions. These calculation rules do not export. We migrate the current numeric score for each Contact as a static integer property in ao_engagement_score__c. Salesforce-native scoring (Einstein Lead Scoring, custom Flow-based scoring) must be configured post-migration.

  • Bulk API is not publicly documented

    Act-On's API documentation does not describe a dedicated bulk or batch endpoint for high-volume record operations. We handle large contact sets and engagement histories by chunking requests and applying backoff logic to stay within any undocumented throttling. This adds time to large migrations but does not block completion. The Salesforce destination side uses Bulk API 2.0 for activity history migration.

  • List logic (dynamic vs static) may not transfer

    Act-On Lists can be static (manually curated membership) or dynamic (rule-based, updating automatically). Dynamic List rule logic is not exportable via API. We preserve static List membership as Campaign Members in Salesforce. Dynamic Lists are documented with their rule criteria for the customer to rebuild as Salesforce Reports with Filters, Smart Lists, or Flow-based segmentation post-migration.

Migration approach

Six steps for a successful Act-On to Salesforce Sales Cloud data migration

  1. Discovery and product confirmation

    We confirm the exact product name (Act-On marketing automation SaaS, not ACT! CRM), gather Act-On API credentials, and audit the source portal for contact volume, company volume, custom data schema definitions, active Programs, List count and type (static vs dynamic), engagement history volume and date range, and owner roster. We pair this with a Salesforce edition review: Professional ($80/user) covers most migrations; Enterprise ($165/user) is required for advanced territory management, custom Forecasting, or Einstein AI features. The discovery output is a written migration scope and a Salesforce edition recommendation.

  2. Schema design and Lead-Contact split rule

    We design the destination schema in Salesforce. This includes provisioning custom objects (with __c API names matched to Act-On Custom Data Schema names), custom fields (with type-mapped Salesforce field types), Record Types for any pipeline equivalents, and the Lead-Contact split rule based on the customer's Act-On lifecycle stage matrix. Schema is deployed via Salesforce metadata API into a Sandbox first for validation. We also configure Salesforce field-level security and any validation rules that may block import before migration begins.

  3. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox (Full Copy or Partial Copy) using production-like data volume. The customer's RevOps lead reconciles record counts (Contacts in, Leads in, Accounts in, Activities in), spot-checks 25-50 random records against Act-On source, and signs off the schema and mapping before production migration begins. Any mapping corrections happen here, not in production.

  4. Owner reconciliation and User provisioning

    We extract every distinct Act-On owner referenced on Contact, Company, and engagement records and match by email against the Salesforce destination org's User table. Owners without a matching User go to a reconciliation queue. The customer's Salesforce admin provisions any missing Users before migration resumes because OwnerId references are required on most standard objects.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Accounts (from Act-On Companies), Contacts and Leads (with the lifecycle stage split applied), Custom Objects (with pre-created schema), Lists (as Campaigns with Campaign Members for static lists), Engagement history (as Tasks via Bulk API 2.0 with chunking and parent-record resolution), and Tags (as multi-select picklists or Topics). Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and Program rebuild handoff

    We freeze Act-On 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 Program blueprint document listing sequence steps, entry criteria, delays, and actions for each Act-On Automated Program. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Act-On Programs 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

Act-On logo

Act-On

Source

Strengths

  • Embedded SMS marketing extends reach beyond email without an additional platform subscription.
  • Native engagement scoring gives a behavioural signal out of the box without third-party analytics.
  • Responsive support team with a reputation for hands-on help during setup and troubleshooting.
  • Segmented audience management via Lists allows targeted campaign execution without complex queries.
  • User-friendly interface lowers the learning curve for marketing teams without dedicated ops resources.

Weaknesses

  • CRM integration capabilities lag behind competitors, often requiring workarounds or third-party middleware.
  • Reporting depth is shallower than HubSpot or Salesforce, making multi-touch attribution difficult.
  • Pricing relative to feature set draws criticism as teams scale and hit tier ceilings.
  • Limited custom object flexibility compared to platforms with a full schema designer.
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. 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 Act-On and Salesforce Sales Cloud.

  • 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

    Act-On: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Act-On 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 Act-On to Salesforce Sales Cloud data migrations

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

Can't find your answer?

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Book a free 30 minute consultation

Most migrations land between five and eight weeks for accounts under 30,000 Contacts and 10,000 Companies with no custom objects and a straightforward lifecycle stage split. Migrations with custom data schemas, large engagement histories (over 200,000 activity records), dynamic List structures, or complex multi-segment audience sets move to twelve to eighteen weeks because of Bulk API time, Program documentation scope, and Custom Object schema pre-creation in Salesforce.

Adjacent paths

Related migrations to explore

Ready when you are

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