Migrate your Spark CRM data
Email-first CRM built for small teams who live in their inbox, offering contact, company, and deal management at competitive per-user pricing.
In its favor
Why people choose Spark CRM
The signal that keeps Spark CRM on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
AI-powered payment orchestration — Spark CRM (sparkcrm.io) integrates payment routing directly with CRM data, optimizing transactions through smart-decline salvage and automatic retry of failed payments.
DTC vertical fit — designed specifically for direct-to-consumer e-commerce operators running 9-figure-revenue campaigns where approval-rate gains directly translate to revenue, vendor claims 20%+ approval lift through payment orchestration.
Store and checkout builder accelerates funnel creation; one-click upsell and advanced subscription management cover common DTC monetization patterns.
Chargeback prevention via integrated fraud detection helps high-risk industries (supplements, nutraceuticals, subscriptions) reduce dispute costs.
160+ native integrations with 2-day SLA for new integration requests cover the typical DTC tech stack.
Limited independent customer review footprint — vendor relies on self-published claims (e.g., 'instantly boost ROI by 87%') rather than third-party validation.
Pricing transparency is partial — Business plan at $199/month plus 1.5% platform fees published, but other tiers/limits are not fully disclosed, surprising operators as transaction volume scales.
Confusion with the unrelated Spark CRM real-estate product (spark.re) and other 'Spark' branded CRM platforms creates procurement friction.
No specific implementation timeline or support structure published, making delivery risk hard to scope for buyers.
Payment-orchestration-first positioning may not suit teams seeking a general-purpose CRM, since the value prop is tightly tied to transaction approval rates.
Reasons to switch
Why people leave Spark CRM
The recurring reasons buyers give for replacing Spark CRM. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Spark CRM 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
Spark CRM pricing overview
Spark CRM uses per-user per-month pricing starting at $8.25 on the Plus plan; Pro tier pricing is available by contacting sales or on their website.
Plus
Tier 1 of 2
$8.25/user/month
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Spark CRM's schedule — see our quote-based pricing →
What gets migrated
Spark CRM object support
Object-by-object support for Spark CRM migrations. Per-pair details surface during scoping.
Contacts
Fully supportedContact records migrate cleanly with standard fields (name, email, phone, address, lifecycle stage). We preserve custom contact properties and tag associations during the transfer.
Companies/Accounts
Fully supportedCompany records transfer with associated contact links intact. We resolve any domain-based duplicate detection flags and maintain the company-to-contact relationship graph in the target.
Deals/Opportunities
Mapping requiredDeals map to Spark's pipeline and stage model, but stage names and deal-specific custom fields require field-level mapping. We capture deal amount, close date, owner, and notes; automation rules are not portable and must be rebuilt post-migration.
Users/Team Members
Mapping requiredUser records transfer as inactive initially and must be activated manually post-migration in Spark's admin settings. Email-based assignment links are preserved but owner IDs require remapping to new system IDs.
Custom Fields
Mapping requiredSpark supports custom fields on contacts, companies, and deals via its Custom Fields API. Custom field metadata (groupings, data types, picklist values) exports via GET /customfields and must be recreated in the target system with equivalent configuration.
Notes and Attachments
Mapping requiredNotes migrate as plain text content linked to the parent record. Binary attachments require separate handling; we export them to cloud storage and create reference links in the target record.
Tags
Mapping requiredTags are label strings on contact and company records. We preserve the full tag vocabulary and reapply it at import time, though destination systems with different tag taxonomies may require manual consolidation.
Activities/Engagements
Mapping requiredEmail threads, call logs, and meeting records can be migrated as activity entries attached to contacts. Spark's activity data model is simpler than HubSpot's; we map engagement timestamps and subjects, and note that engagement analytics are not portable.
| Object | Support | Notes |
|---|---|---|
| Contacts | Fully supported | Contact records migrate cleanly with standard fields (name, email, phone, address, lifecycle stage). We preserve custom contact properties and tag associations during the transfer. |
| Companies/Accounts | Fully supported | Company records transfer with associated contact links intact. We resolve any domain-based duplicate detection flags and maintain the company-to-contact relationship graph in the target. |
| Deals/Opportunities | Mapping required | Deals map to Spark's pipeline and stage model, but stage names and deal-specific custom fields require field-level mapping. We capture deal amount, close date, owner, and notes; automation rules are not portable and must be rebuilt post-migration. |
| Users/Team Members | Mapping required | User records transfer as inactive initially and must be activated manually post-migration in Spark's admin settings. Email-based assignment links are preserved but owner IDs require remapping to new system IDs. |
| Custom Fields | Mapping required | Spark supports custom fields on contacts, companies, and deals via its Custom Fields API. Custom field metadata (groupings, data types, picklist values) exports via GET /customfields and must be recreated in the target system with equivalent configuration. |
| Notes and Attachments | Mapping required | Notes migrate as plain text content linked to the parent record. Binary attachments require separate handling; we export them to cloud storage and create reference links in the target record. |
| Tags | Mapping required | Tags are label strings on contact and company records. We preserve the full tag vocabulary and reapply it at import time, though destination systems with different tag taxonomies may require manual consolidation. |
| Activities/Engagements | Mapping required | Email threads, call logs, and meeting records can be migrated as activity entries attached to contacts. Spark's activity data model is simpler than HubSpot's; we map engagement timestamps and subjects, and note that engagement analytics are not portable. |
Gotchas
What to watch for in Spark CRM migrations
Issues we've hit on past Spark CRM migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Multiple unrelated 'Spark CRM' products exist
Platform fee on top of monthly subscription affects long-term TCO
Payment-orchestration data is tightly coupled to Spark's runtime
Limited public review footprint for due diligence
| Severity | Issue |
|---|---|
| High | Multiple unrelated 'Spark CRM' products exist |
| High | Platform fee on top of monthly subscription affects long-term TCO |
| High | Payment-orchestration data is tightly coupled to Spark's runtime |
| Medium | Limited public review footprint for due diligence |
Leaving Spark CRM?
Where Spark CRM customers move next
12 destinations Spark CRM can migrate to.
How a Spark CRM migration works
Four steps, Spark CRM-specific
Connect
OAuth 2.0 into Spark CRM. Scopes limited to read-only on the data we move.
Map
We translate Spark CRM-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Spark CRM quirks before production.
Migrate
Full migration with Spark CRM rate-limit handling. Rollback available throughout.
FAQ
Spark CRM migration FAQ
Answers to the questions buyers ask most during Spark CRM migration scoping. Not seeing yours? Book a call.
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Migrate Spark CRM.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your Spark CRM setup and destination — written quote back within a business day.