Migrate your Ready_ data
Sales-focused CRM built for small teams that want pipeline visibility without enterprise complexity. Most commonly evaluated when teams outgrow spreadsheets but are not ready for HubSpot-scale overhead.
In its favor
Why people choose Ready_
The signal that keeps Ready_ on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Small teams choose Ready_ because it offers CRM fundamentals at a lower price point than HubSpot or Salesforce, making it accessible for businesses with limited software budgets.
The platform is easy for small sales teams to set up without dedicated admin support, reducing time-to-value for teams that cannot invest in lengthy onboarding.
Ready_ provides straightforward pipeline and deal tracking views that match how small teams actually manage their sales process.
The platform targets small businesses specifically, so feature complexity is intentionally limited, reducing the learning curve for non-technical users.
Limited advanced features cause teams to outgrow Ready_ as they scale, prompting migration to platforms like HubSpot or Salesforce that offer more sophisticated automation and reporting.
Absence of robust integrations with tools like Zapier, Slack, or Gmail means manual workarounds become necessary, reducing efficiency over time.
Users report that the platform lacks depth in analytics and reporting, making it difficult to generate the insights that growing teams require.
Minimal customization options for workflows and fields force teams with complex sales processes to seek platforms that offer greater flexibility.
Reasons to switch
Why people leave Ready_
The recurring reasons buyers give for replacing Ready_. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Ready_ 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
Ready_ pricing overview
Ready_ does not publish pricing on their website. Quotes are provided upon request, and the platform appears to price on a per-seat, per-month model typical of small-business CRMs. Annual billing is likely available for discount.
Starter
Tier 1 of 3
Not publicly documented
What's included
Need help selecting your CRM?
Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Ready_'s schedule — see our quote-based pricing →
What gets migrated
Ready_ object support
Object-by-object support for Ready_ migrations. Per-pair details surface during scoping.
Contacts
Fully supportedContacts are the primary person records in Ready_. We map standard fields (name, email, phone, address) directly to destination Contact objects. Custom properties on contacts are migrated as custom fields in the destination CRM.
Companies
Fully supportedCompany records in Ready_ store firmographic data. We preserve the company name, domain, industry, and size fields. Related contacts are linked via association records in the destination system.
Deals
Mapping requiredDeals in Ready_ attach to a named Pipeline and a Stage within that pipeline. We map the deal value, stage name, expected close date, and owner. Pipeline metadata requires field-mapping because pipeline names differ between source and destination.
Activities
Mapping requiredActivities represent calls, emails, and tasks linked to contacts or deals. We map the type, timestamp, notes, and owner. Activity types in Ready_ may not map 1:1 to the destination activity schema, so we apply a type-normalization step.
Pipeline Stages
Mapping requiredPipeline stages are defined per pipeline in Ready_. We extract the stage name and sequence order. Destination CRM stages may use different naming conventions, requiring a mapping table built during scoping.
Custom Fields
Mapping requiredReady_ supports custom fields on Contacts, Companies, and Deals. Custom field types include text, number, date, and picklist. We extract the field definition and values, then create matching custom fields in the destination before importing data.
Team Members
Mapping requiredTeam Members represent users in Ready_. We map name and email. Owner assignments on Deals and Activities reference Team Members by ID, which we translate to the destination user records during import.
Notes
Mapping requiredNotes are standalone records attached to Contacts or Deals. We map the note body, linked record type, and linked record ID. The destination system may treat notes as activity log entries or separate note objects.
| Object | Support | Notes |
|---|---|---|
| Contacts | Fully supported | Contacts are the primary person records in Ready_. We map standard fields (name, email, phone, address) directly to destination Contact objects. Custom properties on contacts are migrated as custom fields in the destination CRM. |
| Companies | Fully supported | Company records in Ready_ store firmographic data. We preserve the company name, domain, industry, and size fields. Related contacts are linked via association records in the destination system. |
| Deals | Mapping required | Deals in Ready_ attach to a named Pipeline and a Stage within that pipeline. We map the deal value, stage name, expected close date, and owner. Pipeline metadata requires field-mapping because pipeline names differ between source and destination. |
| Activities | Mapping required | Activities represent calls, emails, and tasks linked to contacts or deals. We map the type, timestamp, notes, and owner. Activity types in Ready_ may not map 1:1 to the destination activity schema, so we apply a type-normalization step. |
| Pipeline Stages | Mapping required | Pipeline stages are defined per pipeline in Ready_. We extract the stage name and sequence order. Destination CRM stages may use different naming conventions, requiring a mapping table built during scoping. |
| Custom Fields | Mapping required | Ready_ supports custom fields on Contacts, Companies, and Deals. Custom field types include text, number, date, and picklist. We extract the field definition and values, then create matching custom fields in the destination before importing data. |
| Team Members | Mapping required | Team Members represent users in Ready_. We map name and email. Owner assignments on Deals and Activities reference Team Members by ID, which we translate to the destination user records during import. |
| Notes | Mapping required | Notes are standalone records attached to Contacts or Deals. We map the note body, linked record type, and linked record ID. The destination system may treat notes as activity log entries or separate note objects. |
Gotchas
What to watch for in Ready_ migrations
Issues we've hit on past Ready_ migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
No documented bulk export endpoint
Pipeline and stage names require explicit mapping
Owner assignments rely on Team Member IDs that do not persist across systems
| Severity | Issue |
|---|---|
| High | No documented bulk export endpoint |
| Medium | Pipeline and stage names require explicit mapping |
| Medium | Owner assignments rely on Team Member IDs that do not persist across systems |
Leaving Ready_?
Where Ready_ customers move next
12 destinations Ready_ can migrate to.
How a Ready_ migration works
Four steps, Ready_-specific
Connect
API key into Ready_. Scopes limited to read-only on the data we move.
Map
We translate Ready_-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Ready_ quirks before production.
Migrate
Full migration with Ready_ rate-limit handling. Rollback available throughout.
FAQ
Ready_ migration FAQ
Answers to the questions buyers ask most during Ready_ migration scoping. Not seeing yours? Book a call.
Can't find your answer?
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Migrate Ready_.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your Ready_ setup and destination — written quote back within a business day.