CRM

Migrate your Cordial data

Enterprise messaging and email marketing CRM built for large retail brands with AI-powered personalization and dynamic audience segmentation.

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In its favor

Why people choose Cordial

The signal that keeps Cordial on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

Users consistently cite ease of use and smooth onboarding as top reasons for selecting Cordial, with the drag-and-drop Sculpt block editor reducing time-to-first-campaign for new teams.

The platform organizes campaigns, contacts, and automation logic in one consolidated workspace, eliminating the need to juggle multiple disconnected tools for email and SMS execution.

Cordial's flexible data model lets marketing teams add unlimited custom contact attributes without developer involvement, enabling rapid iteration on segmentation criteria.

Enterprise retail brands choose Cordial for its product-centric data architecture, treating product catalogs and variant-level SKU data as first-class objects rather than footnotes.

The helpful support staff and organized UI receive repeated positive mentions on review sites, making it accessible for teams without dedicated technical resources.

Some users report that complex reporting and advanced analytics require workarounds, with out-of-the-box dashboards feeling insufficient for deep performance analysis.

Scaling large contact databases can introduce latency in segment queries and campaign execution, particularly when audiences exceed several million records.

The drag-and-drop interface, while easy to use for basic campaigns, can become limiting when building sophisticated multi-step automation logic that requires more programmatic control.

Reasons to switch

Why people leave Cordial

The recurring reasons buyers give for replacing Cordial. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Cordial 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

Flexible JSON-based data model accommodating unlimited custom contact attributes without schema migration overhead.Drag-and-drop Sculpt block editor for rapid email production without requiring developer resources.Product-centric architecture treating SKUs, variants, and catalog data as native objects for personalization.AI agents introduced in 2026 for automated email production and data intelligence workflows.SFTP, AWS S3, and Google Cloud Storage integration for automated data export workflows.

Weaknesses

Message experiment results are explicitly not available via the export API, requiring manual UI-based export for A/B test data.Reporting and analytics dashboards are described as insufficient by some users for deep performance analysis, often requiring supplemental BI tooling.Segment logic and automation workflows lack a public export API, making migration of campaign automation a manual rebuild exercise.Order data is not a native first-class object, often stored as custom attributes or behavioral events, requiring careful schema discovery before migration.

Where it works

Mid-to-large retail brands (100+ employees) with extensive product catalogs seeking a unified workspace for email and SMS campaign management without juggling disconnected tools.Marketing teams without dedicated developer resources who need to build and iterate on audience segments quickly using a visual drag-and-drop interface.Organizations leveraging variant-level product data and SKU attributes for personalized messaging, where products and SKUs are treated as first-class personalization objects.Enterprise retail brands seeking AI-assisted email production workflows that bridge audience insight directly into campaign execution.Teams managing consolidated campaign programs across channels in one organized workspace, particularly those transitioning from fragmented point solutions.

Where it struggles

Organizations requiring deep performance analytics and custom reporting dashboards, as out-of-the-box reporting is described as insufficient and often requires supplemental BI tooling.Brands with contact databases exceeding several million records, where segment queries and campaign execution can introduce noticeable latency during high-volume sends.Teams needing programmatic control over complex multi-step automation logic, where the visual drag-and-drop builder becomes limiting for sophisticated workflows.Enterprises requiring full API-based migration of segment logic and automation workflows, since these are not exportable and must be manually rebuilt in the destination system.Businesses where order data and transactional records form the core of their CRM operations, as order data is not a native first-class object and requires careful schema discovery.

Pricing tiers

Cordial pricing overview

Cordial does not publish pricing on its website. Plans are contact-based and tiered, with Enterprise pricing negotiated annually. Prospects typically engage with a sales representative for quotes based on contact volume and required features.

Starter

Tier 1 of 3

Not publicly listed

What's included

Contact-based pricing modelCore email and SMS messagingBasic segmentation and audience buildingDrag-and-drop email editorStandard analytics dashboard

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Pricing is informational. FlitStack AI does not bill on Cordial's schedule — see our quote-based pricing →

What gets migrated

Cordial object support

Object-by-object support for Cordial migrations. Per-pair details surface during scoping.

Contacts

Fully supported

Contacts are the primary collection in Cordial, stored with a flat attribute schema. We export all standard fields (email, first name, last name, etc.) plus every custom contact attribute stored on the contact record. Contacts are exported via the Contact Activity Export API with time-range filtering and CSV/JSON output options.

Contact Attributes (Custom Fields)

Fully supported

Cordial supports unlimited custom contact attributes of types string, number, geo, and array. We map each attribute by its key name and preserve the type. Array-type attributes (e.g. favorite_colors as ['red','blue']) are exported as JSON arrays and flattened or kept intact depending on destination schema capability.

Lists

Fully supported

Lists are sub-collections within the Contact collection. We export list membership as a boolean flag per list or as a separate lookup table, preserving which contacts belong to which static lists for re-creation in the destination system.

Products

Fully supported

Products are stored as JSON objects in the products collection with standard fields productID, productName, price, and a variants array containing SKU and attribute pairs (color, size). We export the full nested product structure and flatten variants into separate rows if the destination requires a flat schema.

Channels

Mapping required

Channels (email, SMS, etc.) are stored as sub-attributes on contacts indicating opt-in status and preferences per channel. We export channel preferences as separate boolean fields and flag any non-standard channel types that may not exist in the destination CRM.

Events / Contact Activities

Mapping required

Contact activities represent behavioral events (opens, clicks, purchases, custom events). Cordial supports custom event types. We export activity data via the Contact Activity Export API with time-range scoping, but large event histories may require pagination and multiple export jobs.

Orders

Mapping required

Orders are not a native first-class object in Cordial's core schema but are often stored as custom attributes or linked via event data. We identify order-related attributes and custom event types and map them to the destination's order or transaction schema.

Segments / Audiences

Mapping required

Segments in Cordial are dynamic rules-based audiences built from contact attributes and event conditions. We export segment definitions as rule summaries and flag which contacts currently match each segment, though the segment logic itself must be rebuilt in the destination platform.

Message Analytics

Mapping required

Message analytics (opens, clicks, bounces, unsubscribes) are available via the Message Analytics Export API. Experiment results are not exportable via API and must be captured manually from the UI. We export standard campaign metrics but note the experiment data limitation upfront.

Automation Workflows / Programs

Mapping required

Cordial's Programs organize campaigns and automation sequences. Workflow logic, triggers, and delay rules are not directly exportable via API. We document the program structure, trigger points, and step count to assist with manual rebuild planning.

Gotchas

What to watch for in Cordial migrations

Issues we've hit on past Cordial migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

Medium

Message experiment results are not API-exportable

Medium

Rate limits are method- and endpoint-specific

Low

Custom contact attribute arrays require schema normalization

Low

Products collection uses nested JSON with variants

How a Cordial migration works

Four steps, Cordial-specific

Connect

HTTPS Basic Authentication with API key into Cordial. Scopes limited to read-only on the data we move.

Map

We translate Cordial-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Cordial quirks before production.

Migrate

Full migration with Cordial rate-limit handling. Rollback available throughout.

FAQ

Cordial migration FAQ

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

Can't find your answer?

Walk through your Cordial migration with a real engineer — 30 minutes, free, written quote within 24 hours.

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Most Cordial migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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