CRM migration

Migrate from Dialytica - Marketing Automation Platform to Salesforce Sales Cloud

Field-level mapping, validation, and rollback between Dialytica - Marketing Automation Platform and Salesforce Sales Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Sales Cloud.

Dialytica - Marketing Automation Platform logo

Dialytica - Marketing Automation Platform

Source

Salesforce Sales Cloud

Destination

Salesforce Sales Cloud logo

Compatibility

50%

6 of 12

objects map 1:1 between Dialytica - Marketing Automation Platform and Salesforce Sales Cloud.

Complexity

BStandard

Timeline

3-6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from Dialytica to Salesforce is a specialization-to-platform migration: Dialytica's outbound call-center data model has no direct Salesforce equivalent, and Dialytica's absence of a public API means every migration begins with an export feasibility audit before we confirm automation capability. We map Dialytica Contacts to Salesforce Contacts, Call Campaigns to a combination of Campaign and Task records, SMS Activities to Salesforce Tasks with custom type flags, and QA Reviews to custom Case or Task records depending on the destination org's configuration. Call Records land as Salesforce Tasks with custom disposition and duration fields, preserving the agent, timestamp, and AI-evaluated metadata. Dialytica's internally developed LLM rules that drive campaign targeting and call optimization do not export as structured logic — we capture the resulting contact assignments and campaign membership data but document the AI optimization layer for your team to rebuild. We do not migrate workflows, dial plan scripts, or sequences as code; we deliver a written inventory of every active automation for your admin to rebuild in Salesforce Flow or Marketing Cloud Account Engagement.

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

Dialytica - Marketing Automation Platform logo

Dialytica - Marketing Automation Platform

What's pushing teams away

  • Teams scaling beyond basic outbound dialing find the platform lacks advanced CRM features like pipeline management, account hierarchies, or robust contact scoring.
  • The narrow focus on call campaigns and QA means other marketing channels like email, web personalization, and multi-touch nurturing require separate platforms.
  • Limited integration ecosystem means Dialytica connections to popular CRMs, BI tools, or analytics platforms are fewer than what HubSpot or Marketo offer.
  • Teams with complex compliance needs for call recording, data residency, or call logging report that Dialytica's controls may not meet enterprise audit requirements.

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 Dialytica - Marketing Automation Platform objects map to Salesforce Sales Cloud

Each row shows how a Dialytica - Marketing Automation Platform 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.

Dialytica - Marketing Automation Platform

Contact

maps to

Salesforce Sales Cloud

Contact

1:1
Fully supported

Dialytica Contact records map directly to Salesforce Contact. We preserve the full name, phone number (mobile, work, home), email, custom field values, and campaign assignment history. The Dialytica contact_id becomes a custom external ID field (dialytica_contact_id__c) on Salesforce Contact for deduplication and cross-reference. Any Dialytica contact properties that have no Salesforce standard equivalent become custom fields on Contact.

Dialytica - Marketing Automation Platform

Call Campaign

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

Dialytica Call Campaigns map to Salesforce Campaign records. Campaign Name, status (active/paused/completed), scheduled start and end dates, targeting criteria text, and script reference migrate as Campaign fields. We map Dialytica campaign targeting rules (the AI-driven contact selection outcome, not the logic itself) as Campaign Member status records so that the selected contacts appear as Campaign Members in Salesforce. Dialytica does not export the AI targeting algorithm; we migrate the resulting assignment data only.

Dialytica - Marketing Automation Platform

SMS Campaign

maps to

Salesforce Sales Cloud

Campaign

1:1
Fully supported

Dialytica SMS Campaigns map to a separate Salesforce Campaign or to the same Campaign as Call Campaigns when the customer uses a unified campaign structure. We apply a campaign type distinction (Outbound Call vs SMS) using the Salesforce Campaign Type picklist. SMS template body text migrates to Campaign Custom Fields (sms_body__c) since Salesforce standard Campaigns do not natively store SMS content.

Dialytica - Marketing Automation Platform

Call Record

maps to

Salesforce Sales Cloud

Task (TaskSubtype = Call)

1:1
Fully supported

Dialytica Call Records map to Salesforce Task with TaskSubtype set to Call. Duration, disposition code, agent assignment (mapped to Salesforce User by email lookup), call recording URL, and AI-evaluated metadata (sentiment scores, talk-to-listen ratio where available) migrate as custom fields on Task. ActivityDate is set to the original Dialytica call timestamp to preserve timeline ordering. The WhoId on Task points to the migrated Contact record.

Dialytica - Marketing Automation Platform

QA Review

maps to

Salesforce Sales Cloud

Case or Custom Object (QA_Review__c)

lossy
Fully supported

Dialytica QA Reviews (supervisor scorecards tied to call records) map to either Salesforce Case (if the org has Service Cloud) or a custom QA_Review__c object we create during schema design. The review criteria and scores migrate as custom fields on the chosen object, and the related Call Record migrates as the parent Task lookup. Free-text supervisor notes migrate as Description or as a separate Long Text Area field. If the destination org has no Service Cloud license, we recommend the custom object approach to avoid Case license constraints.

Dialytica - Marketing Automation Platform

SMS Activity

maps to

Salesforce Sales Cloud

Task (custom type)

1:1
Fully supported

Individual SMS message events from Dialytica (message body, delivery status, timestamp, phone number) map to Salesforce Task records with a custom sms_type__c flag set to 'Inbound' or 'Outbound'. We set Task.ActivityType to 'SMS' if the org has Sales Engagement licensed, or use the custom field approach otherwise. The WhoId on Task links to the migrated Contact. Delivery status maps to a custom sms_delivery_status__c picklist field.

Dialytica - Marketing Automation Platform

SMS Template

maps to

Salesforce Sales Cloud

Custom Field or Content

lossy
Fully supported

Dialytica SMS message templates with variable placeholders migrate as Salesforce Custom Fields on the Contact or Campaign object (sms_template_body__c), or as Salesforce Content records if the customer uses Content. Merge field structures are preserved as bracketed variable names (e.g., {{first_name}}) in the migrated template text.

Dialytica - Marketing Automation Platform

User / Agent

maps to

Salesforce Sales Cloud

User

1:1
Fully supported

Dialytica Agent and User accounts export with roles and permissions. We resolve agents by email match against the destination Salesforce org's User table. Any Dialytica agent without a matching Salesforce User goes to a reconciliation queue for the customer's admin to provision before record import resumes. Active status and agent permissions do not map directly to Salesforce profiles and permission sets — these require manual admin configuration post-migration.

Dialytica - Marketing Automation Platform

Payments

maps to

Salesforce Sales Cloud

Custom Object (Payment__c) or Opportunity

lossy
Mapping required

Dialytica Payment records (transaction amounts, statuses, timestamps tied to campaigns or contacts) migrate to a custom Payment__c object or to Opportunity records depending on whether the customer uses Salesforce Opportunity as their revenue tracking object. We assess this during scoping. Payment__c uses a Lookup to Contact and optionally to Campaign. We flag that Dialytica payment data schema may be limited and recommend a data quality review before migration.

Dialytica - Marketing Automation Platform

Agent Schedule

maps to

Salesforce Sales Cloud

Custom Object (Agent_Schedule__c) or Event

lossy
Fully supported

Dialytica Agent Schedules (shift configurations and availability) migrate to a custom Agent_Schedule__c object or to Salesforce Event records with a custom schedule_type__c flag. Availability windows, shift start/end times, and agent assignment migrate as custom fields. This object is often partially structured in Dialytica exports; we extract what is available and flag gaps for the customer to supplement manually if needed.

Dialytica - Marketing Automation Platform

Script / Dial Plan

maps to

Salesforce Sales Cloud

Content Document or Custom Field

lossy
Fully supported

Dialytica Call Scripts and dial plan logic (agent workflow text and sequence) migrate as Salesforce Content Documents (ContentVersion) or as long-text Custom Fields on the Campaign object. We extract the script body text and sequence order but note that branching conditions, conditional logic, and dynamic routing rules are not stored as structured exportable data in Dialytica. The script document is provided as a reference file for the customer's admin to use when rebuilding Salesforce Flow or Sales Engagement cadences.

Dialytica - Marketing Automation Platform

Campaign Cross-Channel History

maps to

Salesforce Sales Cloud

Campaign Member

lossy
Fully supported

Dialytica maintains Call Campaigns and SMS Campaigns as separate objects, but a single contact's journey often spans both channels. We stitch cross-channel activity by merging Dialytica call engagement history and SMS engagement history into Salesforce Campaign Member records on the same Campaign, so that the migrated contact shows both call and SMS touchpoints in Salesforce's campaign timeline. This requires a deduplication step during transformation to avoid duplicate Campaign Member records for contacts targeted in both campaign types.

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.

Dialytica - Marketing Automation Platform logo

Dialytica - Marketing Automation Platform gotchas

High

No publicly documented API endpoint reference

Medium

AI-generated campaign rules do not export cleanly

Medium

SMS and Call data are separate campaign objects

Low

Single G2 review limits independent evaluation

Medium

Pricing not publicly published

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

  • Dialytica has no publicly documented API

    Dialytica does not publish a public API reference or developer documentation. Every migration begins with an export feasibility audit: we assess the account's available export options (native export buttons, admin panel bulk exports, database access if hosted), test whether automated extraction is possible, and fall back to manual CSV extraction where API access is unavailable. This audit adds one to three weeks to discovery and may affect the migration timeline and cost. We disclose this upfront during scoping so the customer can request export access from Dialytica before migration begins.

  • AI-generated campaign rules do not export as structured logic

    Dialytica uses internally developed LLMs to optimize campaign targeting and call flows. These AI-driven rules are not stored as structured, exportable logic — they are embedded in the platform's AI layer. We capture the resulting contact assignments (which contacts were selected and why) and campaign membership data, and we document the AI optimization outcomes in the migration handoff notes. The customer's admin uses this documented outcome data to rebuild targeting logic in Salesforce Flow criteria, Pardot segmentation, or Marketing Cloud Audience Builder.

  • Call and SMS Campaigns are separate objects requiring cross-channel stitching

    Dialytica maintains Call Campaigns and SMS Campaigns as distinct objects with independent configurations and logs. When migrating, we must explicitly stitch these together so that contacts retain their full cross-channel activity history in Salesforce. Without this stitching step, contacts may appear in separate Salesforce Campaigns for call and SMS activity, breaking the unified customer journey view. We perform this cross-channel merge during the transformation phase using Dialytica contact_id and campaign_id references.

  • Salesforce requires parent-record resolution before activity import

    Call Records, SMS Activities, and QA Reviews in Salesforce must be linked to parent records (Contact, Campaign, or User) at insert time. If the parent Contact has not yet been migrated or cannot be resolved by email match, the activity import fails or produces orphaned records. We enforce dependency ordering: Contacts migrate first, then Users, then Campaigns, then activity records. Any unresolved parent references are held in a reconciliation queue and retried after the parent record is confirmed migrated.

  • QA Review scorecards have no direct Salesforce standard object equivalent

    Dialytica QA Reviews contain structured scorecard criteria and free-text supervisor notes tied to specific call records. Salesforce has no standard object that maps directly to QA scorecards. We recommend creating a custom QA_Review__c object during schema design, but this requires the customer's admin to approve the custom object creation and assign field-level security before data import. If the destination org has Service Cloud, Case can serve as a proxy, but Case license counts and record type configurations must be confirmed during scoping.

Migration approach

Six steps for a successful Dialytica - Marketing Automation Platform to Salesforce Sales Cloud data migration

  1. Export feasibility audit and discovery

    We assess the source Dialytica account for available export mechanisms: admin-panel bulk export capabilities, any available API access (even informal or undocumented), and CSV extraction paths. We catalog all object types present (Contacts, Call Campaigns, SMS Campaigns, Call Records, QA Reviews, SMS Activities, Payments, Users, Agent Schedules, SMS Templates, Scripts), estimate record volumes per object, and identify any objects that appear only partially structured or requiring manual capture. This step produces a written migration feasibility report and confirms whether the migration can proceed with automated extraction or requires manual CSV preparation from the customer.

  2. Salesforce schema design

    We design the destination Salesforce schema in a Sandbox org. This includes creating the custom QA_Review__c object (or Case record type if Service Cloud is present), custom fields for AI-evaluated call metadata, SMS activity type flags, disposition codes, and Dialytica cross-reference IDs. We map Dialytica's Call and SMS Campaigns to Salesforce Campaigns with a campaign type distinction, and configure the cross-channel stitching logic to merge contact assignments from both campaign types into unified Campaign Member records. All custom fields use the Dialytica source field name as a label with a __c suffix and a corresponding external ID field (dialytica_id__c) for deduplication.

  3. Data extraction and CSV preparation

    We extract data from Dialytica in the most automated manner available: admin bulk exports, CSV downloads from the Dialytica panel, or manual CSV preparation by the customer's Dialytica admin if no automated path exists. We transform the extracted data into migration-ready CSVs aligned to the Salesforce schema design, stitching Call and SMS campaign activity together per contact. We flag any records with missing required parent references (orphaned Call Records with no matching Contact) and return them to the reconciliation queue.

  4. Sandbox migration and reconciliation

    We run a full migration into a Salesforce Sandbox using production-like data volume. The customer's admin and RevOps lead reconcile record counts (Contacts in, Campaigns in, Call Records in, SMS Activities in, QA Reviews in), spot-check 25-50 random records against the Dialytica source data, and verify cross-channel activity is correctly stitched. Schema corrections, custom field additions, and mapping adjustments happen in Sandbox before production migration. We also validate that parent-record lookups (Contact, User, Campaign) resolve correctly and that activity records attach to the correct parent.

  5. Production migration in dependency order

    We run production migration in record-dependency order: Salesforce Users (manual provisioning, validated by email match), Contacts (with dialytica_contact_id__c as external ID), Campaigns (Call then SMS, with cross-channel stitching applied), Call Records and SMS Activities via Salesforce Bulk API 2.0 with chunking and exponential backoff, QA Reviews to the custom QA_Review__c object, Payments to the custom Payment__c object, Agent Schedules, and SMS Templates last. Each phase emits a row-count reconciliation report before the next phase begins.

  6. Cutover, validation, and automation handoff

    We freeze Dialytica writes during cutover and run a final delta migration of any records modified during the migration window. We deliver a written automation inventory listing every active Dialytica campaign, QA scoring rule, SMS template, and dial plan script with a recommended Salesforce Flow, Sales Engagement cadence, or Marketing Cloud Audience Builder equivalent. We do not rebuild automations inside the migration scope; that is a separate engagement or an internal admin task. We support a one-week post-migration window to resolve data reconciliation issues raised by the customer's team.

Platform deep dives

Context on both ends of the pair

Dialytica - Marketing Automation Platform logo

Dialytica - Marketing Automation Platform

Source

Strengths

  • Combines outbound calling, SMS, and AI optimization in a single platform for call centers.
  • Fast campaign setup with users reporting call campaigns created in minutes.
  • Cost-effective positioning makes it accessible for small teams and startups.
  • Built-in QA Review module for supervisor evaluation of agent calls without third-party tools.
  • Internally developed LLMs power real-time call optimization and agent assistance.

Weaknesses

  • Limited integration ecosystem compared to major marketing automation platforms.
  • Narrow focus on outbound operations means no native multi-channel marketing or CRM pipeline management.
  • Very limited public documentation and no publicly documented API as of the research date.
  • Minimal review corpus makes independent evaluation difficult.
  • Small market presence means fewer third-party consultants and migration resources available.
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 Dialytica - Marketing Automation Platform 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

    Dialytica - Marketing Automation Platform: Not publicly documented.

  • Data volume sensitivity

    B

    Dialytica - Marketing Automation Platform doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Dialytica - Marketing Automation Platform 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 Dialytica - Marketing Automation Platform to Salesforce Sales Cloud data migrations

Answers to the questions buyers ask most during Dialytica - Marketing Automation Platform to Salesforce Sales Cloud migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Most migrations land between three and six weeks for accounts under 10,000 Contacts and 50,000 Call Records with a clear export path. Dialytica accounts requiring manual CSV extraction (due to no available API) extend to six to twelve weeks because of the manual data preparation step, cross-channel stitching logic, and custom QA_Review__c object schema design. Discovery and export feasibility assessment alone adds one to three weeks to any migration timeline because we cannot assume automated export is available.

Adjacent paths

Related migrations to explore

Ready when you are

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