CRM

Migrate your Floww.ai data

AI-powered no-code CRM for high-velocity B2C and B2B2C sales teams. It trades the familiar HubSpot-style object model for hyper-flexible pipelines and custom flows that take weeks to configure but reward the effort with automation depth.

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In its favor

Why people choose Floww.ai

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

Ranked #1 in Enterprise Usability Index on G2 Winter 2024, attracting teams that prioritised fast onboarding over feature breadth.

Hyper-flexible pipeline configuration lets B2C teams with complex, non-linear sales processes build stages that match their exact cadence.

Built-in AI Copilots (Sales and Analytics) are native to the platform, meaning workflow context is preserved without third-party integrations.

Per-account subscription billing with pro-rated pricing for mid-cycle additions makes it cost-predictable for growing teams.

The pin feature for lead tracking and the Contact Hit List for engagement sequencing are purpose-built for telesales operations that standard CRMs handle poorly.

Manual filter reconfiguration is required at every pipeline stage, making pipeline restructuring a repetitive ops burden that erodes productivity over time.

The platform has no public REST API or documented export endpoints, forcing teams to use CSV manual exports for any data portability needs.

Recording features lack adequate delete and storage-management controls, leading to data hygiene issues and confusion about what constitutes a complete export.

Steep learning curve combined with insufficient in-platform tutorials means onboarding relies heavily on the vendor's own customer-success team.

Reasons to switch

Why people leave Floww.ai

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

Platform scorecard

Strengths, weaknesses, and where Floww.ai 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

Per-account subscription with pro-rated billing accommodates mid-growth headcount additions without billing surprises.Ranked #1 Enterprise Usability Index on G2 Winter 2024 reflects genuine ease of onboarding for non-technical sales teams.Hyper-flexible pipelines support non-linear B2C sales processes that standard CRM stage models cannot represent cleanly.Native AI Copilots for sales and analytics are embedded at the workflow level rather than bolted on as third-party integrations.14-day free trial with guided onboarding lets teams validate pipeline configuration before committing to a paid plan.

Weaknesses

No public REST API or documented bulk export endpoints means all data extraction relies on manual in-platform exports.Recording feature lacks adequate delete and storage management controls, complicating data hygiene during migration scoping.Filters do not carry across stages automatically, making large-scale pipeline restructuring a manual, error-prone process.Slow loading times when handling large data volumes suggest the platform's query performance degrades at enterprise scale.Steep learning curve combined with insufficient in-platform tutorials makes independent onboarding difficult without vendor support.

Where it works

High-velocity B2C and B2B2C sales teams operating with non-linear pipelines and multi-stage cadences that standard CRM stage models cannot represent cleanly.Telesales and inside sales operations in India and Southeast Asia that rely heavily on engagement sequencing, lead pinning, and daily activity planning.Growing teams with 20–200 seats that benefit from per-account pro-rated billing and can absorb a 2-month onboarding period with vendor support.Small to mid-sized organizations (50–500 employees) in edtech, retail, and professional services that prioritize rapid UI adoption over deep customization.Sales organizations that value embedded AI copilots over third-party integrations and can accept a closed ecosystem for workflow context preservation.

Where it struggles

Large enterprises with thousands of records per pipeline, where slow loading times and system hangs during stage changes degrade operational efficiency.Organizations with frequently evolving sales processes, since filter configurations do not carry across stages automatically and must be rebuilt manually at each one.Teams requiring robust API access or automated data portability, since Floww.ai lacks a documented public REST API and forces reliance on manual in-platform CSV exports.Companies operating in markets requiring native iOS mobile access for field sales teams, as the platform currently lacks adequate iOS support.Organizations that prefer self-service onboarding without vendor dependency, given the steep learning curve and insufficient in-platform tutorials.

Pricing tiers

Floww.ai pricing overview

Floww.ai uses a per-account subscription model with no publicly listed pricing. Customers request a custom quote based on headcount and desired feature set, with billing available on monthly, quarterly, half-yearly, or annual cycles. Pro-rated charges apply for accounts added mid-cycle.

Custom (Contact Sales)

Tier 1 of 1

Custom quote per account

What's included

Per-account monthly subscriptionBilling cycles: monthly, quarterly, half-yearly, or annuallyPro-rated pricing for mid-cycle account additionsDedicated customer success manager includedNo published per-seat price on website

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

What gets migrated

Floww.ai object support

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

Contacts

Fully supported

Contacts are the primary record object in Floww.ai. We migrate them 1:1 with standard fields (name, email, phone, company association) preserved. Custom Contact properties are mapped field-by-field against the destination schema.

Leads

Fully supported

Leads are distinct from Contacts in Floww.ai's data model and support separate categorization features. We preserve the Lead record alongside its activity history and assign it to the correct pipeline stage in the destination.

Deals (Opportunities)

Fully supported

Deals in Floww.ai are tied to a specific Pipeline and Stage. We extract the full deal record including deal value, owner assignment, expected close date, and the stage history timeline.

Pipelines

Mapping required

Floww.ai supports multiple concurrent pipelines with distinct stage sets. We map each pipeline to the destination CRM's pipeline object, but the stage order and naming conventions must be reconciled manually per pipeline during scoping.

Pipeline Stages

Mapping required

Stage names and counts vary per pipeline in Floww.ai. Some teams have 4 stages, others have 12. We extract the live stage definitions and map them to the destination's stage schema, flagging any stage-level custom fields for explicit review.

Activities and Tasks

Fully supported

Activities include calls, emails, notes, and scheduled tasks logged against Contacts and Deals. We preserve the activity type, timestamp, owner, and linked record reference. Bulk activity exports require pagination across the platform's internal query interface.

Custom Objects

Mapping required

Floww.ai allows teams to define Custom Objects with custom properties and cross-object relationships. We migrate Custom Object records but require a schema map from the customer before writing to the destination, since relationship cardinalities differ across platforms.

Workflows and Flows

Not in this platform

Floww.ai's workflow automation engine (Flows) is tightly coupled to its runtime and trigger logic. We do not migrate Flows as executable objects. We document which workflows were active and provide a human-readable specification for rebuilding them in the destination.

Dashboards and Reports

Not in this platform

Dashboards are rendered from live queries against the platform's data store and are not exportable as data. We do not migrate Analytics objects. The underlying data (Deals, Activities, Contacts) is migrated so reports can be rebuilt in the destination.

Attachments and Call Recordings

Mapping required

Attachments linked to Contacts, Deals, and Activities are exported via the platform's file export utility where available. Call recordings require a separate export workflow and may need manual retrieval if the platform's recording storage is not accessible via bulk export.

Tags and Segments

Mapping required

Floww.ai supports tagging records for segmentation. Tags are migrated as label or tag fields against the relevant record. We preserve tag names and apply them to the corresponding Contact or Deal in the destination.

Users and Owners

Mapping required

User accounts map to Owners in the destination CRM. We match Floww.ai user email addresses to destination user records. Any unmapped users are flagged for admin review before the final write pass.

Gotchas

What to watch for in Floww.ai migrations

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

High

No public API forces reliance on manual CSV exports

Medium

Pipeline stage filters do not persist across stage changes

Medium

Pro-rated account billing requires careful license reconciliation

Medium

Custom Objects use non-standard relationship cardinalities

Low

Recording and attachment storage not accessible via bulk export

How a Floww.ai migration works

Four steps, Floww.ai-specific

Connect

Not publicly documented into Floww.ai. Scopes limited to read-only on the data we move.

Map

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

Sample

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

Migrate

Full migration with Floww.ai rate-limit handling. Rollback available throughout.

FAQ

Floww.ai migration FAQ

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

Can't find your answer?

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

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Most Floww.ai 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.

Ready when you are

Migrate Floww.ai.
Without the rebuild.

Free scoping call with a migration engineer. Tell us about your Floww.ai setup and destination — written quote back within a business day.

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