CRM migration

Migrate from Optimove to HubSpot

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

Optimove logo

Optimove

Source

HubSpot

Destination

HubSpot logo

Compatibility

91%

10 of 11

objects map 1:1 between Optimove and HubSpot.

Complexity

BStandard

Timeline

3–6 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Optimove is a relationship marketing hub built around customer data aggregation, predictive modeling, and campaign orchestration — its data share exports come as SQL query results rather than a conventional REST API, and customers often sit in separate network databases with distinct schemas. HubSpot is a unified CRM that tracks contacts via a lifecycle_stage property, companies as standalone records, and deals within named pipelines. We map Optimove customer profiles to HubSpot contacts, custom attributes to HubSpot custom properties, campaign targeting lists to HubSpot lists or deal-level custom fields, and Optimove's predictive outputs (churn probability, RFM scores, LTV predictions) to custom number properties — since HubSpot's own Breeze AI scoring operates independently post-migration. Workflows, journey logic, and campaign automation rules have no equivalent in HubSpot's object model; we export them as reference documentation for manual rebuild. Our migration engine extracts from Optimove's SQL-based data share, transforms to HubSpot's bulk-import format, and runs a delta-pickup window (24–48 hours) to capture in-flight changes during cutover.

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

Optimove logo

Optimove

What's pushing teams away

  • Teams with leaner marketing operations report that Optimove's enterprise-grade complexity creates overhead that outweighs its capabilities for their scale.
  • Organizations without dedicated data science or marketing operations resources find the platform's sophistication difficult to self-manage without costly professional services.
  • Companies seeking faster time-to-campaign report frustration with Optimove's longer initial setup and modeling configuration timelines compared to lighter-weight alternatives.
  • Marketing teams report that reporting and data export workflows are more complex than necessary for routine campaign performance analysis.

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 Optimove objects map to HubSpot

Each row shows how a Optimove 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.

Optimove

Customer (via VW_CUSTOMER_PROFILES data share)

maps to

HubSpot

Contact

1:1
Fully supported

Optimove customer profiles map to HubSpot contacts. Each contact inherits the lifecycle_stage value as a custom pick-list property (Lifecycle_Stage__c) since HubSpot has no native stage-history equivalent. Email uniqueness is enforced — if the same email exists in multiple Optimove networks, FlitStack flags duplicates for manual resolution before import.

Optimove

Custom Attributes (real-time + batch)

maps to

HubSpot

Contact — Custom Properties

1:1
Fully supported

Optimove supports up to 50 attributes per customer (real-time via API plus batch data share). Each attribute becomes a HubSpot custom property — type-mapped (string to single-line text, numeric to number, date to date picker, pick-list to dropdown). If the account exceeds HubSpot's per-object property limit, FlitStack surfaces the surplus attributes and proposes consolidation before migration.

Optimove

Company (via data share)

maps to

HubSpot

Company

1:1
Fully supported

Optimove companies map 1:1 to HubSpot companies. Company name, domain, industry, employee count, and annual revenue transfer as direct or value-mapped fields. Optimove's multi-network company structures are flattened — if the same domain appears across networks, the primary network's company record becomes the HubSpot company, and secondary network associations surface as custom fields or notes.

Optimove

Campaign / Target Group (VW_TARGETED_AND_EXCLUDED_CUSTOMERS)

maps to

HubSpot

List + Deal — Custom Properties

1:1
Fully supported

Optimove campaigns are targeting definitions — lists of customers excluded or included per campaign. These translate to HubSpot lists (static or active) for contact grouping. Campaign-level engagement metrics (opens, clicks, sends) migrate as custom deal properties or custom properties on the associated contact since HubSpot's campaign object tracks member status differently than Optimove's engagement metrics.

Optimove

Predictive Values (OptiGenie outputs stored as customer attributes)

maps to

HubSpot

Contact — Custom Number Properties

1:1
Fully supported

Churn probability, RFM scores, lifetime value predictions, and other OptiGenie model outputs migrate as HubSpot custom number properties (Churn_Probability__c, RFM_Score__c, LTV_Prediction__c). HubSpot's Breeze AI runs independently on HubSpot data post-migration — FlitStack preserves Optimove's existing scores as static reference values so teams can compare against HubSpot-native scoring over time.

Optimove

Lifecycle Stage (VW_LIFECYCLE_STAGES data share)

maps to

HubSpot

Contact — Custom Pick-list Property (Lifecycle_Stage__c)

1:1
Fully supported

Optimove's lifecycle stage labels (New, Active, At-Risk, Churned, Reactivated, etc.) migrate as HubSpot custom pick-list values. Stage-transition timestamps from Optimove's Migration Explorer report can be stored as a separate custom datetime property (Lifecycle_Stage_Updated__c) for reporting continuity. HubSpot's own lifecycle_stage property is not used in this migration — its values and behavior are set independently post-migration.

Optimove

Customer Network (Optimove multi-network architecture)

maps to

HubSpot

Company — Association or Custom Field

1:many
Fully supported

Optimove customers can exist in multiple independent networks. If a customer appears in more than one network, FlitStack creates a single HubSpot contact and stores each network's attribute values as separate custom property groups (e.g., NetworkA_CustomField__c, NetworkB_CustomField__c) or associates each network as a separate HubSpot company linked by association. Teams choose the strategy pre-migration.

Optimove

Engagement Events (opens, clicks, sends via engagement data share)

maps to

HubSpot

Contact — Timeline Events or Custom Properties

1:1
Fully supported

Optimove engagement data (email opens, clicks, channel interactions) translates to HubSpot contact timeline entries where possible, or as custom properties on the contact record if event-level granularity is too voluminous for timeline import. FlitStack maps engagement by channel: email events become HubSpot email activities; SMS events migrate as custom activity properties; push and in-app events map to notes or custom engagement fields.

Optimove

Activity History (notes, calls, meetings recorded in Optimove)

maps to

HubSpot

Contact — Timeline Notes / Activities

1:1
Fully supported

If Optimove stores engagement notes, call logs, or meeting records, these map to HubSpot contact timeline entries. Notes become HubSpot notes on the contact record; calls and meetings become HubSpot engagement activities. Original timestamps and owner assignments are preserved. If Optimove stores this data outside its data share, FlitStack extracts it via the Customers API and bulk-imports it to HubSpot's engagement timeline.

Optimove

Owner / User (user email in Optimove data)

maps to

HubSpot

Contact — Owner (HubSpot User)

1:1
Fully supported

Optimove owner assignments are resolved by email match against HubSpot user accounts. If a HubSpot user with the matching email exists, the contact is assigned to them. If no match is found, FlitStack flags the record for the customer's team to either create a HubSpot user or assign a fallback owner before migration commits. No contact lands in HubSpot without a resolved owner.

Optimove

Attachments / Files (linked to customer records in Optimove)

maps to

HubSpot

Contact — Files

1:1
Fully supported

File attachments linked to Optimove customer records are downloaded and re-uploaded to HubSpot Files, then associated to the corresponding contact record. File size limits apply (HubSpot's 25MB per file default). Inline images embedded in Optimove notes are extracted and rehosted as HubSpot file assets.

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.

Optimove logo

Optimove gotchas

High

Custom Attributes 50-attribute limit affects migration scoping

High

Predictive model scores are Optimove-specific and not portable

Medium

Multi-brand architecture requires schema mapping per network

Medium

Campaign journey logic has no export format

Low

Longer onboarding timeline affects migration project planning

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

  • Predictive model outputs require custom property creation and have no HubSpot native equivalent

    Optimove's OptiGenie AI outputs — churn probability, RFM tier, LTV prediction, next-best-action scores — live as customer attributes in Optimove's data share. HubSpot has no native predictive field equivalent. FlitStack migrates each score as a custom number property (e.g., Churn_Probability__c as a decimal between 0 and 1). HubSpot's own Breeze AI scoring runs independently on HubSpot's behavioral data post-migration and produces its own scores. Teams should agree pre-migration on whether to treat Optimove's existing scores as static reference values or re-score contacts with HubSpot Breeze AI.

  • HubSpot's custom property limit may require attribute consolidation for attribute-heavy Optimove accounts

    Optimove allows up to 50 real-time customer attributes via API plus additional batch attributes in data share. HubSpot caps at approximately 100 custom properties per object (contacts, companies, deals). Optimove accounts with 30+ custom attributes face a consolidation decision: which attributes map to HubSpot custom properties and which are archived or merged into composite fields. FlitStack audits the full attribute list during discovery and delivers a prioritized attribute mapping plan before migration begins — attributes that cannot fit into HubSpot's schema are stored as a JSON blob in a single custom long-text field as a fallback.

  • Campaign targeting data must be translated to HubSpot lists and deal-level custom fields

    Optimove campaigns are targeting definitions — lists of customers included or excluded per campaign with engagement metrics attached. HubSpot's campaign object tracks member status and UTM attribution differently; it does not natively store Optimove-style campaign engagement metrics per contact. FlitStack maps Optimove campaign names to HubSpot lists (static lists for historical targeting groups) and stores engagement metrics (opens, clicks, conversions) as custom number properties on the associated contact or deal record. Campaign logic and journey automation do not transfer — these must be rebuilt as HubSpot workflows or sequences.

  • Multi-network Optimove accounts create duplicate-contact risk in HubSpot's single-email model

    Optimove's architecture allows the same customer email to exist in multiple independent network databases, each with its own attribute values for that contact. HubSpot enforces exactly one contact record per email address globally. If FlitStack encounters the same email in two Optimove networks with different attribute values, it flags the conflict for the customer's team to choose a merge strategy: preserve attributes from one network as primary, or store network-specific attribute sets as separate custom property groups (e.g., NetworkA_FirstName__c vs. NetworkB_FirstName__c). This step adds planning time but prevents silent data loss at migration.

  • Optimove SQL-based data share requires pre-migration SQL export for large datasets

    Optimove's standard export mechanism is its SQL-based data share (views like VW_TARGETED_AND_EXCLUDED_CUSTOMERS, VW_CUSTOMER_PROFILES_V1_2). Unlike a REST API, this requires a database connection or exported result set. For large Optimove accounts (500K+ customer records), FlitStack coordinates with the customer's Optimove team to schedule SQL exports against read replicas to avoid production impact. The data export step runs before HubSpot import — teams should plan for 1–3 days of SQL export time for large datasets. FlitStack handles the export coordination as part of the discovery phase.

Migration approach

Six steps for a successful Optimove to HubSpot data migration

  1. Audit Optimove data share and build the migration map

    FlitStack connects to Optimove's data share (SQL views or API endpoints) and extracts a representative sample of customer records, companies, custom attributes, lifecycle stages, and engagement events. We catalog every Optimove field against HubSpot's standard and custom property model, flag multi-network duplicates, identify predictive-value attributes, and surface campaign targeting lists that need HubSpot list equivalents. The result is a field-level migration map reviewed and approved by the customer's team before any data moves.

  2. Configure HubSpot custom properties and list structure

    Before data lands in HubSpot, FlitStack creates all required custom properties: Lifecycle_Stage__c (pick-list), Churn_Probability__c, RFM_Score__c, LTV_Prediction__c, Original_Create_Date__c, Optimove_Customer_ID__c, and any other Optimove attributes that need dedicated fields. We also create HubSpot lists corresponding to Optimove campaign targeting groups. If the account exceeds HubSpot's per-object property limit, FlitStack delivers a consolidation plan — attributes ranked by business priority for the customer to approve before property creation.

  3. Extract customer data from Optimove data share

    FlitStack executes SQL queries against Optimove's data share views or calls the Customers API to extract customer records, companies, engagement events, and campaign targeting data. For multi-network Optimove accounts, we run separate extracts per network and apply the duplicate-resolution strategy agreed in Step 1. Predictive values (churn scores, RFM, LTV) are extracted as custom attribute rows. Engagement events are extracted by channel type (email, SMS, push). The extraction runs against read-only data share endpoints and does not modify Optimove data.

  4. Run sample migration with field-level diff

    A representative sample — typically 200–500 records spanning contacts from multiple Optimove networks, companies, engagement events, and a few predictive-value records — migrates into the configured HubSpot account. FlitStack generates a field-level diff comparing source Optimove values against destination HubSpot properties for every migrated record. The customer reviews the diff to verify: lifecycle stage labels map correctly, predictive values land in the right custom fields, multi-network duplicates are resolved as agreed, and campaign list membership reflects Optimove targeting groups. No full migration commits until the sample diff is signed off.

  5. Execute full migration with delta-pickup window

    The full Optimove dataset migrates to HubSpot: companies first, then contacts with owner resolution by email match, then engagement timeline entries and predictive values. A delta-pickup window (24–48 hours after the full migration window) captures any Optimove records created or modified during the cutover period. FlitStack's audit log records every operation — record created, updated, skipped (duplicate), or flagged (owner unresolved). One-click rollback reverts all operations if reconciliation reveals a data integrity issue. Post-migration, FlitStack delivers a summary report: record counts per object, duplicate count, owner-resolution rate, and any attributes that could not be migrated due to schema limits.

Platform deep dives

Context on both ends of the pair

Optimove logo

Optimove

Source

Strengths

  • Native multi-channel orchestration across email, SMS, mobile push, web, ad networks, and WhatsApp in a single platform.
  • Sophisticated predictive modeling and OptiGenie AI for next-best-action recommendations without requiring in-house data science teams.
  • Customer Data Platform core means unified customer profiles combining real-time and historical behavioral data.
  • Migration Explorer and Lifecycle Stage tracking provide built-in retention analytics out of the box.
  • Comprehensive ecosystem with most marketing capabilities built in reduces third-party integration complexity.

Weaknesses

  • Enterprise pricing model starting at $4000/month creates high barrier to entry for smaller marketing teams.
  • Setup and onboarding period is longer than lighter alternatives due to deep custom modeling requirements.
  • Custom Attributes capped at 50 total across all input methods limits flexibility for data-rich customer profiles.
  • Reporting and data export workflows require multiple steps and lack streamlined self-service options per user reviews.
  • Sophisticated platform requires dedicated marketing operations resources to operate without heavy professional services dependency.
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 manual workaround.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Optimove and HubSpot.

  • Object compatibility

    B

    1 of 8 objects need a manual workaround.

  • 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

    Optimove: Not publicly documented in developer documentation.

  • Data volume sensitivity

    A

    Optimove exposes a bulk API — large-volume migrations stream efficiently.

Estimator

Estimate your Optimove 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 Optimove to HubSpot data migrations

Answers to the questions buyers ask most during Optimove to HubSpot migration scoping. Not seeing yours? Book a call.

Can't find your answer?

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Book a free 30 minute consultation

Most Optimove-to-HubSpot migrations complete in 3–6 weeks for accounts with fewer than 100,000 customer records and under 30 custom attributes. Accounts with over 500,000 records or multi-network Optimove architectures extend to 6–10 weeks. The longest phases are usually the discovery audit (understanding attribute schemas across Optimove networks) and the sample migration sign-off, since Optimove's SQL-based data share requires coordination with the Optimove team for large exports. Predictive value migration and campaign list setup add 3–5 days each.

Adjacent paths

Related migrations to explore

Ready when you are

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