Migrate your Ometria data
Retail-focused CDXP that unifies customer data from ecommerce, POS, and loyalty systems into a single profile and orchestrates cross-channel campaigns through AI-driven segmentation.
In its favor
Why people choose Ometria
The signal that keeps Ometria on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Built exclusively for retail with native connectors to Shopify, Magento, WooCommerce, and other commerce platforms, reducing integration friction compared to horizontal CDPs.
Combines customer data platform consolidation with cross-channel experience delivery in a single product, removing the need for separate tools.
Outstanding customer support rated 12+ times on G2, with responsive technical project managers available for complex onboarding needs.
AI-driven Architect product benchmarks customers against hyper-relevant retailers and recommends audience strategies automatically.
Handles large enterprise retail datasets at petabyte scale, making it viable for brands with millions of customer profiles and complex purchase histories.
Steep learning curve with extensive features leads to frustration, especially for teams exploring advanced segmentation and reporting capabilities.
Complex reporting processes are time-consuming when analyzing customer data visualizations, causing delays in campaign optimization.
Limited SMS capabilities compared to specialist platforms, with users citing feature gaps in multichannel execution.
Ease of setup rated lower than competitors like Insider, indicating significant configuration effort is required out of the box.
Per-contact pricing model becomes expensive as list size grows, driving mid-market brands to seek more affordable alternatives.
Reasons to switch
Why people leave Ometria
The recurring reasons buyers give for replacing Ometria. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Ometria 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
Ometria pricing overview
Ometria does not publish pricing publicly. Costs are negotiated per account based on contact volume, feature tier (CDP-only vs Full CDXP), and expected send volumes. Mid-market brands report per-contact pricing becoming significant at scale, driving migration to alternatives.
CDP Only
Tier 1 of 3
Not publicly disclosed
What's included
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What gets migrated
Ometria object support
Object-by-object support for Ometria migrations. Per-pair details surface during scoping.
Contacts
Fully supportedContacts are the central profile object in Ometria, consolidating data from ecommerce, POS, loyalty, and campaign sources into a single customer view. We migrate all standard contact fields and custom properties, preserving identity resolution links and consent records.
Segments
Fully supportedSegments are rule-based dynamic groups that update automatically as customer data changes. We export segment definitions and membership lists via CSV or XLSX. Note that segment logic referencing deprecated fields may require manual recreation at the destination.
Lifecycle Programs
Mapping requiredLifecycle Programs are multi-step automation journeys triggered by events or timing rules. We export program structure and step configurations but automation triggers, delays, and conditional branches often require field-level mapping to match destination syntax.
Broadcast Campaigns
Mapping requiredBroadcast campaigns are one-time email sends to a list or segment. We transfer broadcast templates and campaign history. Sending logs and delivery metrics migrate as separate export files; individual engagement events may not transfer 1:1.
Events
Mapping requiredEvents capture customer actions such as order_placed, email_opened, or page_viewed. Event schema is customizable per account. We map event names and property structures, flagging any events with non-standard payloads for manual review.
Customer Attributes
Mapping requiredCustomer attributes are stored fields on a profile such as VIP flag, lifecycle stage, or favorite brand. Custom properties require field-type mapping since destination systems use different property type conventions (boolean, string, array, date).
Templates (Master)
Mapping requiredMaster templates store reusable HTML for campaigns. The account migration guide requires copying HTML code as a master template specifically; we extract and re-insert HTML directly and verify rendering post-import. Dynamic content blocks may require reconfiguration at the destination.
Suppression Lists
Fully supportedSuppression lists hold contacts blocked from receiving email for compliance or deliverability reasons. We export the full suppression list and apply it as a block set at the destination to ensure GDPR and deliverability continuity.
Coupons and Promotions
Mapping requiredCoupon pools and promotion properties passed in events must be mapped as custom fields or properties at the destination. Ometria stores coupon sync configuration that requires replication via destination platform coupon management.
Orders
Mapping requiredOrder records include purchase history, revenue attribution, and attribution model data. Revenue figures in Ometria may differ from Google Analytics by 15-20% due to different attribution logic; we flag this discrepancy and migrate both raw order data and attributed revenue separately.
Stores
Fully supportedStores represent individual retail locations integrated as data sources. We migrate store profiles, location metadata, and any store-level customer associations. Store-level suppression rules also transfer.
Subscribers
Mapping requiredSubscribers are contacts with explicit opt-in status. Consent records are migration-critical for compliance. We preserve subscription status, consent timestamp, and opt-in source, mapping to destination subscription fields.
Visits
Mapping requiredVisit data captures customer onsite behavior including page views and session duration. Ometria counts visits differently than Google Analytics due to different attribution models. We migrate visit event logs where volume permits; high-traffic accounts may require sampling or summary-level migration.
Custom Data Exports
Fully supportedOmetria supports customized data exports to AWS S3, Databricks, Google Cloud, Azure, and SFTP endpoints. We configure export connectors or use Databricks connections for bulk migration of custom datasets that do not map to standard objects.
| Object | Support | Notes |
|---|---|---|
| Contacts | Fully supported | Contacts are the central profile object in Ometria, consolidating data from ecommerce, POS, loyalty, and campaign sources into a single customer view. We migrate all standard contact fields and custom properties, preserving identity resolution links and consent records. |
| Segments | Fully supported | Segments are rule-based dynamic groups that update automatically as customer data changes. We export segment definitions and membership lists via CSV or XLSX. Note that segment logic referencing deprecated fields may require manual recreation at the destination. |
| Lifecycle Programs | Mapping required | Lifecycle Programs are multi-step automation journeys triggered by events or timing rules. We export program structure and step configurations but automation triggers, delays, and conditional branches often require field-level mapping to match destination syntax. |
| Broadcast Campaigns | Mapping required | Broadcast campaigns are one-time email sends to a list or segment. We transfer broadcast templates and campaign history. Sending logs and delivery metrics migrate as separate export files; individual engagement events may not transfer 1:1. |
| Events | Mapping required | Events capture customer actions such as order_placed, email_opened, or page_viewed. Event schema is customizable per account. We map event names and property structures, flagging any events with non-standard payloads for manual review. |
| Customer Attributes | Mapping required | Customer attributes are stored fields on a profile such as VIP flag, lifecycle stage, or favorite brand. Custom properties require field-type mapping since destination systems use different property type conventions (boolean, string, array, date). |
| Templates (Master) | Mapping required | Master templates store reusable HTML for campaigns. The account migration guide requires copying HTML code as a master template specifically; we extract and re-insert HTML directly and verify rendering post-import. Dynamic content blocks may require reconfiguration at the destination. |
| Suppression Lists | Fully supported | Suppression lists hold contacts blocked from receiving email for compliance or deliverability reasons. We export the full suppression list and apply it as a block set at the destination to ensure GDPR and deliverability continuity. |
| Coupons and Promotions | Mapping required | Coupon pools and promotion properties passed in events must be mapped as custom fields or properties at the destination. Ometria stores coupon sync configuration that requires replication via destination platform coupon management. |
| Orders | Mapping required | Order records include purchase history, revenue attribution, and attribution model data. Revenue figures in Ometria may differ from Google Analytics by 15-20% due to different attribution logic; we flag this discrepancy and migrate both raw order data and attributed revenue separately. |
| Stores | Fully supported | Stores represent individual retail locations integrated as data sources. We migrate store profiles, location metadata, and any store-level customer associations. Store-level suppression rules also transfer. |
| Subscribers | Mapping required | Subscribers are contacts with explicit opt-in status. Consent records are migration-critical for compliance. We preserve subscription status, consent timestamp, and opt-in source, mapping to destination subscription fields. |
| Visits | Mapping required | Visit data captures customer onsite behavior including page views and session duration. Ometria counts visits differently than Google Analytics due to different attribution models. We migrate visit event logs where volume permits; high-traffic accounts may require sampling or summary-level migration. |
| Custom Data Exports | Fully supported | Ometria supports customized data exports to AWS S3, Databricks, Google Cloud, Azure, and SFTP endpoints. We configure export connectors or use Databricks connections for bulk migration of custom datasets that do not map to standard objects. |
Gotchas
What to watch for in Ometria migrations
Issues we've hit on past Ometria migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Six-week technical project notice period
Master template HTML must be transferred manually
Historical event data and scoring models do not auto-migrate
Revenue attribution differs from Google Analytics
| Severity | Issue |
|---|---|
| High | Six-week technical project notice period |
| Medium | Master template HTML must be transferred manually |
| Medium | Historical event data and scoring models do not auto-migrate |
| Low | Revenue attribution differs from Google Analytics |
Leaving Ometria?
Where Ometria customers move next
12 destinations Ometria can migrate to.
How a Ometria migration works
Four steps, Ometria-specific
Connect
API key issued by Ometria — passed in request headers per docs.ometria.com. into Ometria. Scopes limited to read-only on the data we move.
Map
We translate Ometria-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Ometria quirks before production.
Migrate
Full migration with Ometria rate-limit handling. Rollback available throughout.
FAQ
Ometria migration FAQ
Answers to the questions buyers ask most during Ometria migration scoping. Not seeing yours? Book a call.
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