Migrate from mQuest to Mailchimp

Extract mQuest data via API with pagination and rate-limit management

FlitStack AI connects to mQuest using API credentials scoped to read-only access. Data extraction runs in paginated batches — Contacts, Companies, Deals, Activities, and Campaigns are pulled sequentially to respect rate limits. For each object type, FlitStack captures standard fields, all custom fields, and system timestamps (created_at, updated_at). Any records failing extraction due to rate-limit responses are queued for retry with exponential backoff. The extraction output is a structured JSON dataset organized by object type, ready for the transformation phase.

Transform relational records into Mailchimp flat schema and prepare suppression list

FlitStack transforms each mQuest record into Mailchimp's subscriber format. Contacts are the primary record; Company associations generate tags; Deal fields are decomposed into custom fields on the contact record. The opt-out filter splits mQuest contacts into two streams: active subscribers for the main import and suppressed members for Mailchimp's unsubscribed list. All field type conversions are applied (pick-lists to text, multi-select to tags, dates to ISO 8601 format). The transformation generates a field map showing every mQuest field and its Mailchimp destination, reviewed before the import runs.

Configure Mailchimp audience with custom fields and tags before bulk import

Before any data loads, FlitStack creates the Mailchimp audience (or selects the target audience) and adds all required custom fields — Deal_Name__c, Deal_Amount__c, Deal_Stage__c, Engagement_Score__c, Call_Count__c, and others identified in the field map. Mailchimp requires custom fields to exist before data can populate them via import. FlitStack provisions all fields in advance using the Mailchimp API so the bulk import can write directly to named fields without encountering schema errors mid-run.

Run a sample migration with field-level diff and contact count verification

A representative slice — typically 100–500 records spanning contacts with and without companies, contacts with active deals, and a mix of engagement activity levels — migrates into Mailchimp first. FlitStack generates a field-level diff comparing the source mQuest record against the destination Mailchimp subscriber, showing every mapped field, its original value, and its Mailchimp value. Contact count in Mailchimp is verified against the source dataset. Opt-out flag mapping is specifically audited in the sample run before the full migration is authorized.

Execute full migration with delta-pickup window and rollback capability

The full mQuest dataset loads into Mailchimp via batched bulk import, with unsubscribed contacts imported into Mailchimp's suppression list first. A delta-pickup window (24–48 hours) captures any new or modified records created in mQuest during the migration run. FlitStack logs every import operation in an audit trail. If reconciliation reveals missing records or incorrect field values, one-click rollback reverts the Mailchimp audience to its pre-migration state. After rollback confirmation, the migration can be re-run with corrected field mappings.

Deliver migration report, field-map documentation, and rebuild reference package

FlitStack delivers a final migration report showing total contacts migrated, suppressed contacts imported, custom fields populated, and any records that could not be imported with their error codes. The field-map JSON documents every source field to destination field mapping for future reference. The rebuild reference package contains mQuest workflow definitions exported as JSON and any mQuest email template HTML for manual recreation in Mailchimp's template builder. All artifacts are stored in the project folder alongside the migration audit log.