CRM migration

Migrate from Dialytica - Marketing Automation Platform to HubSpot

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

Dialytica - Marketing Automation Platform logo

Dialytica - Marketing Automation Platform

Source

HubSpot

Destination

HubSpot logo

Compatibility

100%

12 of 12

objects map 1:1 between Dialytica - Marketing Automation Platform and HubSpot.

Complexity

BStandard

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Teams move from Dialytica to HubSpot when they need HubSpot's deeper CRM capabilities, its native marketing-sales-service integration, and the ability to run advanced reporting across the full customer lifecycle. The migration transfers every contact, company, deal, call record, SMS engagement, and custom property that Dialytica stores natively into HubSpot's CRM object model. Key technical challenges include translating Dialytica's call disposition codes and QA scoring into HubSpot's lifecycle stages and custom properties, mapping Dialytica campaign sequences to HubSpot workflows, and resolving Dialytica owner assignments by email against HubSpot user records. FlitStack AI sequences the migration so foreign-key dependencies resolve correctly — contacts land first, then companies, then deals and activities — with a delta-pickup window capturing any records created or modified during the cutover window. Workflows, sequences, and automation logic do not migrate; we export your Dialytica workflow definitions as a structured rebuild reference for your HubSpot admin to reconstruct in HubSpot's workflow builder.

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

HubSpot logo

HubSpot

What's pulling them in

  • Lowest barrier to entry of any major CRM — the free tier with unlimited contacts lets teams validate fit before committing to a paid plan, according to G2 and Capterra reviewers.
  • Native integration between the CRM and sales engagement tools (sequences, email tracking, dialer) means no separate sync configuration, a theme across G2 Sales Hub reviews.
  • Pipeline visualization, deal tracking, and automated workflows are consistently praised as intuitive and easy to set up without developer involvement.
  • Strong onboarding for new team members — reviewers on Capterra and G2 highlight how quickly new reps become productive without formal training.
  • The HubSpot platform ecosystem (Marketing, Sales, Service, CMS hubs) allows growing companies to consolidate tools without building new integrations.

Object mapping

How Dialytica - Marketing Automation Platform objects map to HubSpot

Each row shows how a Dialytica - Marketing Automation Platform object lands in HubSpot, 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

HubSpot

Contact

1:1
Fully supported

Direct map. HubSpot contacts receive all Dialytica contact properties as custom properties. Lifecycle stage is set to the mapped value from Dialytica's most-recent disposition_code or dial_status. Original create dates preserved as Original_Create_Date__c since HubSpot Createdate is set at migration time.

Dialytica - Marketing Automation Platform

Campaign

maps to

HubSpot

Campaign + Workflow

1:1
Fully supported

Dialytica campaigns split into two HubSpot objects: a HubSpot Campaign for membership attribution (which contacts were in the call campaign) and a HubSpot Workflow for sequence logic. The campaign name and targeting criteria become the workflow enrollment triggers; call disposition routing becomes workflow branches.

Dialytica - Marketing Automation Platform

Call Record

maps to

HubSpot

Task

1:1
Fully supported

Each Dialytica call record becomes a HubSpot Task with Type='Call'. The task subject carries the campaign name and call direction (inbound/outbound). Call duration, disposition code, and wrap time migrate as custom properties on the task. The task is associated to the contact via the contact's HubSpot ID.

Dialytica - Marketing Automation Platform

SMS Engagement

maps to

HubSpot

Engagement (Email sub-type for SMS)

1:1
Fully supported

Dialytica SMS sends migrate as HubSpot engagements with subtype indicating SMS. Delivery status (delivered, failed, replied) maps to HubSpot engagement metadata. The engagement is linked to the contact record. Note that HubSpot's native SMS requires a configured Twilio or HubSpot SMS integration; we migrate the historical record only.

Dialytica - Marketing Automation Platform

Call QA / Review

maps to

HubSpot

Note + Custom Properties on Contact

1:1
Fully supported

Dialytica QA records attach a quality_score and review_notes to a specific call record. In HubSpot, the call recording file is attached to the associated Task as a Salesforce Files-style attachment. The quality_score migrates as a custom number property (Dialytica_Quality_Score__c) on the Contact for reporting continuity.

Dialytica - Marketing Automation Platform

Disposition Code

maps to

HubSpot

Custom Pick-list Property on Contact

1:1
Fully supported

Dialytica disposition codes (e.g., ANSWERED, NO_ANSWER, VOICEMAIL, BUSY, DNC) are platform-specific pick-list values. We map them to a HubSpot custom pick-list property (Dialytica_Disposition__c) and use the disposition to derive the HubSpot lifecycle stage transition — e.g., ANSWERED with a positive disposition_code may route the contact to the next lifecycle stage.

Dialytica - Marketing Automation Platform

Company

maps to

HubSpot

Company

1:1
Fully supported

Dialytica companies map directly to HubSpot companies. Company-level properties (name, domain, industry, employee count) migrate as HubSpot company properties. Parent-company hierarchies preserve via HubSpot's parent_company_id field. Companies with no associated contacts receive the company record alone and migrate cleanly without requiring contact associations.

Dialytica - Marketing Automation Platform

Deal / Opportunity

maps to

HubSpot

Deal

1:1
Fully supported

Dialytica deals map to HubSpot deals with direct field mapping on deal name, amount, close date, and deal stage. The deal stage names are mapped value-by-value from Dialytica stage names to HubSpot pipeline stage names. Owner resolution by email applies here as well — unresolvable deal owners are flagged for admin assignment before the migration runs.

Dialytica - Marketing Automation Platform

Agent / Owner

maps to

HubSpot

HubSpot User (owner)

1:1
Fully supported

Dialytica agents are matched to HubSpot users by email address. Dialytica stores agent_id, agent_name, and agent_email. For agents with no matching HubSpot user, records are assigned to a designated fallback owner. Agent-level performance metrics (calls_handled, avg_wrap_time) from Dialytica reports are preserved as custom properties on the contact record for post-migration reporting.

Dialytica - Marketing Automation Platform

Custom Contact Properties

maps to

HubSpot

HubSpot Custom Contact Properties

1:1
Fully supported

Dialytica custom contact properties (campaign_id, dial_status, wrap_time, last_call_date, total_call_duration, agent_id) create new HubSpot custom contact properties during migration. Property types are matched (number fields, date fields, text fields, pick-list fields). If a Dialytica pick-list has values not native to HubSpot, a new HubSpot pick-list property is created with those values.

Dialytica - Marketing Automation Platform

File / Attachment (Call Recording)

maps to

HubSpot

HubSpot File (attached to Task)

1:1
Fully supported

Dialytica call recordings are exported from Dialytica storage and re-uploaded as HubSpot Files attached to the corresponding Task record. File size limits apply — recordings exceeding HubSpot's file size threshold are noted and flagged for manual retrieval. The task body includes a link reference to the recording file.

Dialytica - Marketing Automation Platform

Lead Score

maps to

HubSpot

Custom Number Property on Contact

1:1
Fully supported

Dialytica generates a numeric lead_score from call engagement density (number of call attempts, answered rate, disposition trending). This score migrates as Dialytica_Lead_Score__c on the HubSpot contact. It is distinct from HubSpot's native AI lead scoring — both can coexist. Teams choose whether to use HubSpot's scoring model going forward or continue referencing the Dialytica score.

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

HubSpot logo

HubSpot gotchas

High

Marketing Contacts billing model is migration-critical

High

Feature tier gating is not visible until onboarding

Medium

Mandatory onboarding fees inflate year-one cost

Medium

HubSpot CSV importer cannot migrate engagements or attachments

Medium

Custom objects require Enterprise and a pre-existing schema

Pair-specific challenges

  • Disposition-code routing to HubSpot lifecycle stage requires a decision map

    Dialytica disposition codes (ANSWERED, NO_ANSWER, VOICEMAIL, DNC) have no direct HubSpot equivalent. HubSpot lifecycle stage advances through Contact property updates triggered by workflows. We create a disposition-to-lifecycle mapping plan before migration — for example, ANSWERED contacts with a connected meeting move to 'Lead', DNC contacts stay at their current stage. You approve this map before migration runs. If the mapping is wrong, contacts land at incorrect lifecycle stages and downstream workflow enrollment breaks.

  • Call recordings exceed HubSpot's default file size and need staged re-upload

    Dialytica call recordings are often MP3 or WAV files that exceed HubSpot's default file size threshold for inline attachments. We download recordings from Dialytica storage, split them by date range or campaign, and re-upload as HubSpot Files attached to the corresponding Task record. Files that exceed HubSpot's hard limit are flagged in the migration report with a manual retrieval option. This is a pair-specific gotcha because HubSpot's file model is not designed for large audio archives — it expects links to external storage.

  • Dialytica agent IDs need email-matching to HubSpot users before owner assignment

    Dialytica agents are identified by internal agent_id; HubSpot owners are identified by email. If your Dialytica instance uses email addresses as agent identifiers, owner resolution is straightforward. If agents are identified by numeric ID with no email in the Dialytica profile, we cannot auto-resolve to a HubSpot user. In that case, you must either map agent IDs to HubSpot user emails in a provided spreadsheet before migration, or accept a fallback owner assignment for unresolved records.

  • HubSpot's marketing-contact billing model treats call-engaged contacts differently than Dialytica

    Dialytica bills per contact record or per agent seat regardless of marketing engagement. HubSpot's Marketing Hub bills based on marketing contacts — contacts who receive marketing emails count toward your marketing contact pool. Call-only contacts from Dialytica who are not email-marketing recipients will not immediately trigger HubSpot marketing-contact billing, but once they enter a HubSpot email workflow, they will. We flag all Dialytica contacts who have email addresses so you can audit which ones will enter the marketing contact pool post-migration.

  • QA scores and review notes have no native HubSpot equivalent and require custom property setup

    Dialytica Call QA stores quality_score (numeric) and review_notes (free text) per call. HubSpot has no native QA model for sales calls. We migrate quality_score as a custom number property on the Contact (Dialytica_Quality_Score__c) and review_notes as a custom text property (Call_QA_Notes__c). These are informational — they won't trigger HubSpot workflows natively. If you want QA scores to drive workflow enrollment in HubSpot, your admin needs to build a workflow that references these custom properties after migration.

Migration approach

Six steps for a successful Dialytica - Marketing Automation Platform to HubSpot data migration

  1. Extract Dialytica data via API with full object graph

    FlitStack AI authenticates against Dialytica's API using your account credentials and exports all contacts, companies, deals, call records, SMS engagements, QA records, and custom properties. We pull the complete object graph with foreign-key relationships intact so associations (contact-to-campaign, call-to-contact, deal-to-company) resolve correctly. If Dialytica's API rate limits require pagination, we implement backoff and retry logic to avoid 429 errors during extraction. The export includes all historical records regardless of archive status.

  2. Build the HubSpot property schema and campaign-to-workflow mapping plan

    Before any data lands in HubSpot, we create all custom contact properties, company properties, deal properties, and task properties that Dialytica uses but HubSpot doesn't have natively. This includes Dialytica_Disposition__c, Dialytica_Lead_Score__c, Dialytica_Quality_Score__c, Call_Duration_Seconds__c, and others. We also produce the Dialytica campaign-to-HubSpot-Workflow mapping plan for your review — you approve which Dialytica campaigns become HubSpot Workflows and which become HubSpot Campaigns before the migration runs.

  3. Resolve owners and agents by email match against HubSpot users

    FlitStack matches Dialytica agent_id and owner_id against HubSpot user email addresses. For each Dialytica agent with a matching HubSpot user, all associated records are assigned to that HubSpot user as the owner. For any Dialytica agent without a match, we flag the records and assign them to a fallback owner you designate. The owner-resolution report is delivered before the full migration runs so your admin can invite unmatched agents to HubSpot or confirm the fallback assignment.

  4. Run a sample migration with field-level diff on a representative slice

    A representative slice of 100–300 records migrates first — covering contacts across multiple Dialytica campaigns, a sample of call records, SMS engagements, companies, and deals. We generate a field-level diff showing every Dialytica field on the left and its HubSpot equivalent on the right, flagging any field where the destination value doesn't match the expected mapping. You review the diff, approve the mapping plan, and request adjustments before the full migration commits.

  5. Execute full migration with delta-pickup window and audit log

    The full migration runs with records sequenced correctly: companies first, then contacts, then deals and activities. Call recordings and SMS engagement records land after their parent contact records. A delta-pickup window (typically 24–48 hours) captures any new Dialytica records created or modified during the cutover. Every migration operation is logged to an audit trail. If reconciliation fails — missing associations, duplicate records, or owner-resolution gaps — one-click rollback reverts the HubSpot instance to its pre-migration state.

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.
HubSpot logo

HubSpot

Destination

Strengths

  • Genuinely useful free CRM tier with no seat limit on contact records.
  • All-in-one sales engagement layer (sequences, email tracking, calling, dialer) embedded natively in the CRM, eliminating a separate integration.
  • Intuitive interface and fast onboarding for individual reps, per G2 and Capterra reviews.
  • Workflow automation triggers across contacts, deals, and tickets with a visual builder.
  • API coverage for all standard objects including custom objects at Enterprise tier.

Weaknesses

  • Pricing model is contact-based at the marketing layer — importing all records as marketing contacts can multiply the monthly bill by 4×.
  • Feature tier cliffs are frequent surprises: sequences, calling, advanced reporting, and quoting are all gated, often requiring plan upgrades mid-implementation.
  • Mandatory onboarding fees at Professional ($1,500) and Enterprise ($3,500) are not prominently disclosed on the pricing page.
  • API rate limits are restrictive for bulk migration — burst limits of 100-200 req/10sec and search endpoint limits of 4 req/sec require careful job queuing.
  • Custom objects, additional pipelines, and advanced forecasting are Enterprise-only, making cost projections difficult for growing teams.

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 HubSpot.

  • 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 HubSpot 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 HubSpot data migrations

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

Can't find your answer?

Walk through your Dialytica - Marketing Automation Platform to HubSpot migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Dialytica-to-HubSpot migrations complete in 48–72 hours for up to 50,000 records. Larger setups with over 500,000 call records, multiple active campaigns, or extensive QA archives extend to 5–10 days. The owner-resolution and campaign-to-workflow mapping step is the longest planning phase — it requires your review and approval before data moves. We deliver a fixed-price quote and timeline after a 30-minute scoping call.

Adjacent paths

Related migrations to explore

Ready when you are

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