Migrate your Optimove data
Relationship marketing CRM with a customer data platform core and sophisticated predictive modeling, designed for multi-brand enterprises running complex multichannel campaigns.
In its favor
Why people choose Optimove
The signal that keeps Optimove on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Companies choose Optimove for its built-in predictive modeling and recommendation engine that require less internal data science resources to operationalize.
Enterprises running multi-brand or multi-network operations select Optimove because its architecture natively supports separate customer databases per brand with shared infrastructure.
Marketing teams select Optimove for its comprehensive native feature set across email, SMS, mobile push, web, and ad networks, reducing dependency on third-party point solutions.
Organizations with complex customer lifecycle journeys choose Optimove for its Migration Explorer and lifecycle stage tracking capabilities that inform retention strategy.
Companies with dedicated customer success managers and professional services support select Optimove for its white-glove enterprise onboarding model.
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.
Reasons to switch
Why people leave Optimove
The recurring reasons buyers give for replacing Optimove. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Optimove fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Optimove pricing overview
Optimove uses a custom enterprise pricing model based on the number of separate customer networks operated and the total customer count per database. Starting prices are not publicly published but are reported from $4,000/month with significant costs scaling based on data volume and channel usage.
Enterprise
Tier 1 of 2
Custom pricing (typically $4,000+/month)
What's included
Need help selecting your CRM?
Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Optimove's schedule — see our quote-based pricing →
What gets migrated
Optimove object support
Object-by-object support for Optimove migrations. Per-pair details surface during scoping.
Customers
Fully supportedOptimove's central object. We export Customer profiles including all standard and custom attributes via Data Share SQL views and the Customers API. Each customer has a unique CustomerID used across all other datasets.
Customer Attributes
Mapping requiredOptimove allows up to 50 total attributes across real-time, API, and data ingestion combined. We audit existing attribute counts during discovery and flag any overflow risk before importing new custom fields from source systems.
Lifecycle Stages
Fully supportedOptimove tracks customer migrations between Lifecycle Stages as a core modeling concept. We preserve stage assignments and historical transition data via the Migration Explorer report exports. Stage definitions and their business logic require manual mapping to destination equivalents.
Target Groups
Mapping requiredTarget Groups are dynamic customer segments built from attribute rules. We export the customer membership lists and recreate segment logic in the destination. Complex nested rules may require translation or simplification depending on destination platform capabilities.
Predictive Values
Mapping requiredOptimove generates proprietary predictive scores and models (OptiGenie AI, next-best-action predictions). These are Optimove-specific and do not have standard equivalents in other platforms. We export the raw scores where accessible via Data Share, but the modeling logic cannot be migrated.
Campaigns
Mapping requiredCampaign metadata including name, type, channels, and scheduling is exportable. Journey orchestration logic and automation rules require recreation in destination platforms as Optimove's journey canvas has no direct export format.
Campaign Results / Engagement Metrics
Fully supportedWe export historical campaign performance data including sends, opens, clicks, conversions, and control group metrics via Data Share. Engagement metrics are linked to CustomerIDs for downstream attribution mapping.
Control Groups
Fully supportedOptimove's Control Groups feature is documented in Data Share. We preserve control group membership assignments to allow accurate campaign ROI calculation post-migration.
Multi-Brand / Multi-Network Databases
Mapping requiredOptimove structures data by customer network and brand, each potentially having separate database schemas. We identify all separate networks during discovery and map each to appropriate destination brand/workspace structures.
Custom Objects
Not in this platformOptimove does not expose a documented Custom Objects API equivalent to standard CRM objects. Only Customer-level custom attributes are supported via the API, not independent object types. We cannot migrate custom object records; customers must recreate or export via ad-hoc SQL.
Attachments / Media Assets
Not in this platformOptimove is a data and orchestration platform, not a content management system. Media assets used in campaigns are stored in connected ESPs or content tools, not in Optimove itself. We do not migrate campaign asset libraries.
Users / Team Members
Mapping requiredOptimove user accounts and roles can be listed via the platform admin interface. Role permissions and access levels require manual recreation in destination systems as Optimove's permission model is platform-specific.
| Object | Support | Notes |
|---|---|---|
| Customers | Fully supported | Optimove's central object. We export Customer profiles including all standard and custom attributes via Data Share SQL views and the Customers API. Each customer has a unique CustomerID used across all other datasets. |
| Customer Attributes | Mapping required | Optimove allows up to 50 total attributes across real-time, API, and data ingestion combined. We audit existing attribute counts during discovery and flag any overflow risk before importing new custom fields from source systems. |
| Lifecycle Stages | Fully supported | Optimove tracks customer migrations between Lifecycle Stages as a core modeling concept. We preserve stage assignments and historical transition data via the Migration Explorer report exports. Stage definitions and their business logic require manual mapping to destination equivalents. |
| Target Groups | Mapping required | Target Groups are dynamic customer segments built from attribute rules. We export the customer membership lists and recreate segment logic in the destination. Complex nested rules may require translation or simplification depending on destination platform capabilities. |
| Predictive Values | Mapping required | Optimove generates proprietary predictive scores and models (OptiGenie AI, next-best-action predictions). These are Optimove-specific and do not have standard equivalents in other platforms. We export the raw scores where accessible via Data Share, but the modeling logic cannot be migrated. |
| Campaigns | Mapping required | Campaign metadata including name, type, channels, and scheduling is exportable. Journey orchestration logic and automation rules require recreation in destination platforms as Optimove's journey canvas has no direct export format. |
| Campaign Results / Engagement Metrics | Fully supported | We export historical campaign performance data including sends, opens, clicks, conversions, and control group metrics via Data Share. Engagement metrics are linked to CustomerIDs for downstream attribution mapping. |
| Control Groups | Fully supported | Optimove's Control Groups feature is documented in Data Share. We preserve control group membership assignments to allow accurate campaign ROI calculation post-migration. |
| Multi-Brand / Multi-Network Databases | Mapping required | Optimove structures data by customer network and brand, each potentially having separate database schemas. We identify all separate networks during discovery and map each to appropriate destination brand/workspace structures. |
| Custom Objects | Not in this platform | Optimove does not expose a documented Custom Objects API equivalent to standard CRM objects. Only Customer-level custom attributes are supported via the API, not independent object types. We cannot migrate custom object records; customers must recreate or export via ad-hoc SQL. |
| Attachments / Media Assets | Not in this platform | Optimove is a data and orchestration platform, not a content management system. Media assets used in campaigns are stored in connected ESPs or content tools, not in Optimove itself. We do not migrate campaign asset libraries. |
| Users / Team Members | Mapping required | Optimove user accounts and roles can be listed via the platform admin interface. Role permissions and access levels require manual recreation in destination systems as Optimove's permission model is platform-specific. |
Gotchas
What to watch for in Optimove migrations
Issues we've hit on past Optimove migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Custom Attributes 50-attribute limit affects migration scoping
Predictive model scores are Optimove-specific and not portable
Multi-brand architecture requires schema mapping per network
Campaign journey logic has no export format
Longer onboarding timeline affects migration project planning
| Severity | Issue |
|---|---|
| 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 |
Leaving Optimove?
Where Optimove customers move next
12 destinations Optimove can migrate to.
How a Optimove migration works
Four steps, Optimove-specific
Connect
OAuth 2.0 (API key and SSO support via Azure AD, Okta, Jumpcloud, Duo) into Optimove. Scopes limited to read-only on the data we move.
Map
We translate Optimove-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Optimove quirks before production.
Migrate
Full migration with Optimove rate-limit handling. Rollback available throughout.
FAQ
Optimove migration FAQ
Answers to the questions buyers ask most during Optimove migration scoping. Not seeing yours? Book a call.
Can't find your answer?
Walk through your Optimove migration with a real engineer — 30 minutes, free, written quote within 24 hours.
Book a free 30 minute consultationReady when you are
Migrate Optimove.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your Optimove setup and destination — written quote back within a business day.