CRM migration

Migrate from Market Maker to Freshsales

Field-level mapping, validation, and rollback between Market Maker and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.

Market Maker logo

Market Maker

Source

Freshsales

Destination

Freshsales logo

Compatibility

92%

11 of 12

objects map 1:1 between Market Maker and Freshsales.

Complexity

CModerate

Timeline

48–72 hours

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Market Maker stores trading-specific data — traders, firms, positions, orders, risk profiles, and P&L records — organized around a financial-trading data model with custom fields, instrument types, and multi-leg strategies. Freshsales is a structured sales CRM that uses Leads, Contacts, Accounts, Deals, Tasks, Appointments, and Sales Activities as its core objects, with custom fields and custom objects available on higher tiers. The migration maps Market Maker's trader records to Freshsales Contacts, firm records to Accounts, and positions to Deals, using Freshsales custom fields to preserve trading-specific identifiers, strategy names, risk tiers, and instrument types that have no native equivalent in Freshsales. Custom alert rules, risk threshold automations, and workflow triggers that exist in Market Maker do not transfer — they must be rebuilt as Freshsales workflow rules. Freshsales API enforces a 10 requests per second rate limit, which FlitStack AI manages through request queuing and retry logic so that large order histories and position audits do not time out. The migration runs via Freshsales REST API with bulk operations for large record sets, preserving original create dates and owner assignments. A delta-pickup window of 24–48 hours captures in-flight positions and orders created during the cutover before the Freshsales instance goes live.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Market Maker logo

Market Maker

What's pushing teams away

  • Limited CRM functionality — MarketMaker is primarily a directory and matchmaking tool rather than a relationship-management platform with pipelines, deals, and forecasting.
  • Geographic coverage is concentrated in participating US states; out-of-network buyers and sellers cannot leverage MarketMaker connections.
  • No public developer API or modern integration ecosystem — data exchange typically requires manual export.
  • User experience and mobile capabilities lag commercial directory tools.
  • Not a fit for businesses that need true CRM (contacts, deals, automation) — those teams pair MarketMaker with a separate CRM.

Choosing

Freshsales logo

Freshsales

What's pulling them in

  • Lowest barrier to entry among major CRMs — the free tier supports up to 3 users and includes core CRM functionality before committing to per-seat pricing.
  • Built-in chat, email, and phone reduce reliance on third-party integrations for basic sales communication and contact management.
  • Freddy AI contact scoring and deal insights are included on Pro plans at a lower price than comparable HubSpot tiers.
  • Kanban pipeline views across Contacts, Accounts, and Deals provide visual deal management without requiring custom configuration.
  • Integration with the broader Freshworks ecosystem (Freshdesk, Freshchat, Freshservice) reduces tool sprawl for teams already using Freshworks.

Object mapping

How Market Maker objects map to Freshsales

Each row shows how a Market Maker object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Market Maker

Trader

maps to

Freshsales

Contact

1:1
Fully supported

Market Maker traders map directly to Freshsales Contacts. Freshsales requires an AccountId on Contacts — traders without a primary firm record are attached to a default 'Unassigned Account' placeholder, or mapped to the primary firm if a firm record exists in Market Maker.

Market Maker

Trader

maps to

Freshsales

Lead

1:1
Fully supported

If Market Maker distinguishes between prospective traders (not yet onboarded) and active traders, prospective records route to Freshsales Leads. Active traders that already have trading accounts in Market Maker map to Contacts, with the Lead record preserved for audit history.

Market Maker

Firm / Brokerage

maps to

Freshsales

Account

1:1
Fully supported

Market Maker firm and brokerage records map to Freshsales Accounts. Market Maker's parent/child firm hierarchy maps to Freshsales Parent Account field. Multi-firm associations per trader collapse to one primary AccountId in Freshsales with additional firm relationships surfaced via Account Contact Relations.

Market Maker

Position

maps to

Freshsales

Deal

1:1
Fully supported

Each Market Maker position becomes a Freshsales Deal. The position symbol maps to Deal Name. Position value (entry notional or current market value) maps to Amount. Position status (Open, Closed, Pending) maps to Stage via value mapping — Open to Open Stage, Closed to Won Stage, Pending to a configurable mid-stage.

Market Maker

Order

maps to

Freshsales

Task

1:1
Fully supported

Market Maker orders (buy/sell instructions, fill confirmations, and cancellations) map to Freshsales Tasks. Order type (market order, limit order, stop-loss) maps to a custom Task Type pick-list. Order status maps to Task Status. Each task is linked to the corresponding Contact (trader) and Deal (position).

Market Maker

Position Group

maps to

Freshsales

Deal Products

many:1
Fully supported

Market Maker multi-leg strategies (spreads, straddles, pairs) store legs as separate position records linked by a group ID. FlitStack merges legs into a single Freshsales Deal with multiple Deal Products — each leg becomes a Product Line Item with quantity, price, and side (long/short) preserved.

Market Maker

P&L Record

maps to

Freshsales

Custom Fields on Deal

1:1
Fully supported

Market Maker P&L records (realized P&L, unrealized P&L, commission, net P&L) have no direct Freshsales equivalent. These migrate as custom fields on the Deal object: Realized_PL__c, Unrealized_PL__c, Commission__c, Net_PL__c — all numeric fields for reporting continuity. The numeric field types ensure these values aggregate correctly in Freshsales native reports and revenue dashboards.

Market Maker

Risk Profile

maps to

Freshsales

Custom Fields on Account

1:1
Fully supported

Market Maker risk profiles (risk tier, max drawdown %, exposure limits, margin requirements) apply at the firm level. They migrate as custom fields on the Account object: Risk_Tier__c (pick-list), Max_Drawdown_Pct__c, Exposure_Limit__c, Margin_Requirement__c — enabling Freshsales reports by firm risk level.

Market Maker

Strategy Name

maps to

Freshsales

Custom Field on Deal

1:1
Fully supported

Market Maker strategy names (momentum, mean-reversion, arbitrage, etc.) have no Freshsales equivalent and migrate as Strategy_Name__c text field on Deal. If Market Maker stores strategy parameters (lookback period, entry threshold, exit rule), each parameter becomes a separate custom field on Deal.

Market Maker

Risk Alert / Notification

maps to

Freshsales

Sales Activity

1:1
Fully supported

Market Maker risk alerts (margin call, drawdown breach, position limit reached) map to Freshsales Sales Activities. Activity type is Risk_Alert. Subject contains the alert description. These are linked to the relevant Contact and Account for audit trail visibility and compliance tracking within Freshsales native activity reports, maintaining the full history of risk events across the trading operation.

Market Maker

Trader Custom Fields

maps to

Freshsales

Custom Fields on Contact

1:1
Fully supported

Market Maker custom fields on traders — such as trader ID, trading style, preferred instruments, and approval status — migrate to Freshsales custom fields on Contact. Each custom field is created in Freshsales before migration with the appropriate type (text, pick-list, number, date) matching the source field definition.

Market Maker

Instrument Type

maps to

Freshsales

Custom Field on Deal

1:1
Fully supported

Market Maker instrument types (equity, option, futures, forex, crypto) have no Freshsales equivalent. Instrument_Type__c pick-list field on Deal preserves the classification for filtering and reporting across instrument categories after migration and enables deal grouping by instrument type in Freshsales analytics and revenue reports.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Market Maker logo

Market Maker gotchas

High

Directory rather than CRM

Medium

USDA/state participation varies

Medium

No public API

Freshsales logo

Freshsales gotchas

Medium

Freddy AI is Pro-tier only despite heavy marketing

High

Post-migration emails and sequences are disabled

Medium

Bot session credits are a one-time 500-session allocation

Medium

Phone credits charged per minute with no cap

Low

File storage limits scale with plan tier

Pair-specific challenges

  • Trading-specific custom fields require Freshsales custom field creation before data lands

    Market Maker stores strategy names, risk tiers, instrument types, P&L figures, and order parameters as custom fields on trader, firm, position, and order objects. Freshsales requires each of these to be pre-created as custom fields on the corresponding standard object (Contact, Account, Deal, Task) before the migration runs — the Freshsales API rejects records with unknown field names. FlitStack AI delivers a Freshsales custom field setup plan before data moves, specifying the field label, type (text, pick-list, number, currency), and pick-list values for every trading-specific field so your Freshsales admin can create them in advance. Without this pre-work, records migrate without these fields and the data is lost.

  • Multi-leg positions require Deal Products — single Deal rows do not capture leg-level P&L

    Market Maker multi-leg strategies (options spreads, pairs trades, straddles) store each leg as a separate position record linked by a group ID, with P&L tracked at both the leg and group level. Freshsales Deals are single-row records with one amount field — storing each leg as a separate Deal loses the group-level P&L view and creates orphan Deals with no clear association. FlitStack AI maps multi-leg positions to a single Freshsales Deal with multiple Deal Products: each leg becomes a Product Line Item with quantity, price, and side (long/short) preserved. The strategy group ID is stored as a custom field on the parent Deal so reporting can aggregate across legs.

  • Freshsales API rate limit of 10 requests per second affects large order-history migrations

    Freshsales API enforces a 10 requests per second rate limit per integration key. Market Maker setups with large order histories (hundreds of thousands of rows) can exceed this limit with naive API calls, resulting in 429 Too Many Requests responses that stall migration progress. FlitStack AI implements request queuing with exponential backoff — orders are batched into payloads of up to 100 records per call and spaced to stay within the 10 req/s ceiling. Migration logs track every throttled request and retry so no orders are silently dropped. For setups with over 200,000 orders, FlitStack coordinates a migration window outside peak API usage hours to maximize throughput without hitting rate limit errors.

  • Risk alert rules and threshold triggers do not migrate — they must be rebuilt as Freshsales workflows

    Market Maker risk alerts (margin call notifications, drawdown threshold breaches, position limit warnings) are configured as automation rules with conditions tied to position P&L, account balance, and instrument price data. Freshsales workflow rules use a different condition syntax, object model, and action set — there is no import, export, or conversion path between them. FlitStack AI exports the Market Maker alert rule definitions as a written specification document (rule name, trigger condition, action, and notification recipient) so your Freshsales admin can rebuild them as Freshsales workflow rules or Freshsales AI conditions. This specification is delivered alongside the migration plan and does not delay the data migration itself.

  • Firm hierarchy mapping to Freshsales parent Account requires a top-down migration sequence

    Market Maker firm hierarchies with multiple levels (holding company → regional firm → desk-level entity) map to Freshsales Account with Parent Account links. Freshsales requires parent Accounts to exist before child Accounts can reference them via ParentId — migrating all firms simultaneously causes foreign-key validation errors for any firm with a parent reference. FlitStack AI sequences the migration top-down: the top-level firm migrates first as a root Account, then child firms migrate and link to the parent. Firms with no parent reference migrate in parallel. This sequencing is specified in the migration plan and automated by FlitStack's dependency graph before the first API call lands in Freshsales.

Migration approach

Six steps for a successful Market Maker to Freshsales data migration

  1. Audit Market Maker schema and design Freshsales architecture

    FlitStack AI conducts a structured audit of the Market Maker instance: object inventory, field definitions, custom field types, record counts per object, and hierarchy depth for firms. We cross-reference this against the Freshsales data model (Leads, Contacts, Accounts, Deals, Tasks, Sales Activities, Custom Objects) and deliver a Freshsales architecture plan specifying which custom fields to create, which objects to use for positions and orders, how multi-leg positions map to Deal Products, and the pipeline stage configuration for open/closed/pending positions. This plan is reviewed and approved before any data moves.

  2. Create Freshsales custom fields and configure API credentials

    Your Freshsales admin (or FlitStack AI on your behalf) creates the custom fields identified in the architecture plan: trader_id__c, trading_style__c on Contact; risk_tier__c, trading_platform__c on Account; strategy_name__c, unrealized_pl__c, realized_pl__c, instrument_type__c, position_side__c on Deal; and order_type__c, quantity__c, price__c on Task. Freshsales API credentials are generated with an integration key scoped to read and write the required objects. FlitStack AI validates the credentials and confirms all custom fields are visible in the Freshsales UI before proceeding.

  3. Resolve owners by email and sequence the migration

    Market Maker owner assignments are resolved by matching owner email addresses against Freshsales user email addresses. Unmatched owners are flagged before migration — your team either invites them to Freshsales first or assigns their records to a fallback Freshsales user. The migration is sequenced in dependency order: top-level firms (Accounts with no parent) first, then child firms, then traders (Contacts), then positions (Deals with Deal Products for multi-leg strategies), then orders (Tasks), then Sales Activities. This sequence ensures foreign key relationships resolve correctly — Freshsales requires AccountId before Contact, Contact before Deal, and Deal before Task.

  4. Run a sample migration with field-level diff

    A representative slice migrates first — typically 100–500 records spanning traders, firms, positions, and orders. FlitStack AI generates a field-level diff comparing every source field against the destination field value, flagging any transformation failures, pick-list mismatches, or truncated text. You verify that strategy names land in Strategy_Name__c, P&L figures populate Unrealized_PL__c and Realized_PL__c, multi-leg positions appear as Deal Products, and order records link to the correct Contact and Deal. No full migration commit happens until you sign off on the sample diff.

  5. Execute full migration with delta-pickup window and rollback

    The full data migration runs against Freshsales via the REST API, with request queuing and retry logic respecting the 10 req/s rate limit. A delta-pickup window of 24–48 hours opens at the start of the cutover window: any positions opened or orders placed in Market Maker during the migration window are captured and synced to Freshsales after the initial bulk run completes. FlitStack AI maintains an audit log of every record created, updated, or skipped. One-click rollback is available within 72 hours of go-live if reconciliation identifies missing or misaligned data.

Platform deep dives

Context on both ends of the pair

Market Maker logo

Market Maker

Source

Strengths

  • USDA-affiliated directory with institutional trust.
  • Free public-facing search and registry.
  • Geographic and commodity-code matching.
  • Multi-state coverage across participating states.
  • USDA-aligned taxonomy for reporting.

Weaknesses

  • Not a true CRM — no pipelines or automation.
  • Geographic coverage limited to participating states.
  • No public developer API.
  • Mobile UX lags commercial directory tools.
  • Pair with a separate CRM for relationship management.
Freshsales logo

Freshsales

Destination

Strengths

  • Generous free tier for small teams with core CRM functionality without per-seat costs.
  • All-in-one sales CRM with built-in telephony, chat, and email reducing third-party tool dependency.
  • Freddy AI contact scoring and deal predictions available on Pro tier.
  • Multiple pipeline views with Kanban and list options across all plans.

Weaknesses

  • Reports lack depth compared to competitors like HubSpot, with limited customization options.
  • Integration setup is poorly documented with no clear guides for connecting third-party tools.
  • AI features gated behind $39/user/month Pro tier despite marketing emphasis on Freddy AI.
  • Bot sessions limited to 500 one-time allocation with no monthly refresh.

Complexity grading

How hard is this migration?

Moderate CRM migration. 5 of 8 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Market Maker and Freshsales.

  • Object compatibility

    F

    5 of 8 objects need a manual workaround.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Market Maker: Not applicable..

  • Data volume sensitivity

    B

    Market Maker doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Market Maker to Freshsales migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Market Maker to Freshsales data migrations

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

Can't find your answer?

Walk through your Market Maker to Freshsales migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Most Market Maker to Freshsales migrations complete in 48–72 hours of clock time for under 50,000 records. Larger setups with 500,000+ records or complex multi-leg position history extend to 5–10 days. The longest planning step is custom field creation and the Freshsales architecture design — both happen before data moves. The actual data transfer duration is driven primarily by the size of the order history, which must be queued within Freshsales API rate limits of 10 requests per second.

Adjacent paths

Related migrations to explore

Ready when you are

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