Cleaner data to act on
The source CSV is reviewed and formatted around the fields included in the migration, including customer contact information and approved historical fields.
Enciu Consulting turns scattered customer data into a usable starting point. We clean the agreed records, map the fields that matter, verify the import, and give your team a reliable dataset to use for follow-up and customer work.
A source file can contain inconsistent phone formats, missing fields, old labels, or columns with no clear destination. Importing it without a plan can create a new database that is harder to trust than the old one.
We start with the data the business can export, decide what is worth carrying forward, map it to the new structure, then import and verify the records in scope. The migration is built around the usable source data, not around assumptions about what an old platform might contain.
The migration creates a defined starting dataset with agreed field destinations and a verification step, so the next pipeline, booking, payment, or follow-up process starts with information the team can use.
The source CSV is reviewed and formatted around the fields included in the migration, including customer contact information and approved historical fields.
Each included source column gets an agreed destination in HighLevel before import, reducing the chance that important information lands in the wrong place.
The imported record count is checked against the original CSV, then representative records are reviewed to confirm that the mapped values came across correctly.
The standard data-import process is designed around customer-list exports. More complex records or platform-specific history are reviewed separately before they are included in scope.
Review the customer-list export and confirm the file format, available columns, record count, and the fields that should be carried into the new HighLevel account.
Prepare the included customer fields such as name, phone, email, address, and agreed job-history fields. Phone numbers are standardized to E.164 before import.
Match source columns to the correct HighLevel contact fields or approved custom fields so the destination structure is settled before the import is run.
Import the approved customer records into HighLevel. In the documented full-build process, imported historical customers are tagged as Past Customer so they can be separated from new leads.
Compare the completed import with the original CSV record count so missing rows or obvious import issues can be investigated before handoff.
Spot-check 10 representative imported contacts against the source file for the fields included in scope and correct any mapping or formatting issue found in that review.
The exact columns depend on the export your current system provides. This example follows the documented Enciu Consulting data-import process for a customer-list CSV.
You provide the customer export from the current CRM, invoicing tool, or other system in an agreed file format. CSV is the expected format for the standard process.
We review fields such as name, phone, email, address, and agreed job-history data, then format the records for the new account.
Each included source column is assigned to its HighLevel destination so the new CRM structure is clear before the data is uploaded.
The approved records are imported into HighLevel and tagged or categorized according to the agreed migration plan.
We compare record counts and spot-check 10 imported contacts against the source before the data-import task is marked complete.
The standard service is a structured data import, not a promise that every object or every piece of history from another platform will transfer into HighLevel.
The migration is based on the files and fields reviewed before the import. Data that is unavailable in the export, inaccessible to the client, or outside the approved mapping is not assumed to be part of the migration.
Items beyond a standard customer-list import, including more complex pipeline, transaction, or platform-specific records, are scoped only after we can review the available source structure and decide how they should be handled.
Formatting can be cleaned, but missing or inaccurate source information cannot be recreated from nothing. We will flag migration issues that require a client decision before import.
You do not need to redesign your database yourself. You do need to provide the source data and enough context for us to understand what the important fields mean.
Provide the agreed export from the current system. For the standard migration process, a CSV customer list is expected.
Tell us what non-obvious columns mean, which fields still matter operationally, and which historical information the team needs available after the move.
If a source field has no obvious destination, we will confirm whether it needs a custom field, a different treatment, or should be left out rather than guessing.
If the first file is incomplete or the wrong export was provided, the client needs to be able to obtain a corrected source file before final import and verification.
The migration is reviewed before import, then checked again after import. That keeps field decisions and data quality issues visible instead of hiding them inside a bulk upload.
We inspect the available export, identify the fields included in scope, confirm the record count, and flag anything that needs clarification before cleanup starts.
We clean and format the included fields, standardize phone numbers, and document where each source column belongs in HighLevel.
Once the mapping is settled, the approved contact records are imported into the account and any agreed tags or customer classifications are applied.
We compare the import with the source count, spot-check 10 records for accuracy, correct issues found in that review, and explain where the imported customer data lives in the new CRM.
The standard Data Import & Cleanup service covers customer-list cleanup, formatting, import, and verification. It is also included in the Growth package and Full Build. More complex source systems, multiple files, or migration requirements beyond the standard customer-list process are reviewed before scope and price are confirmed.
These answers cover source files, field mapping, verification, and what happens when the old system contains data that does not fit the standard import process.
CSV is the expected format in the documented customer-list import process. If your current system exports something different, we review the available format before confirming the migration scope.
The standard process covers fields such as name, phone, email, address, and agreed job-history fields. The final mapping depends on what your source export contains and what your new HighLevel account needs.
We compare the completed import with the original CSV count, then spot-check 10 imported contacts against the source for the fields included in the migration.
That is not assumed in the standard service. The migration is limited to the source data and fields we review and approve. More complex records or platform-specific history need to be examined before we can say whether they belong in the migration scope.
Yes. The setup fee is quoted after your system review based on the files, source systems, and approved work. Data import and cleanup can also be included in a broader setup. Enciu CRM access is $300/month for every customer beginning on Day 91, with usage and third-party charges billed separately.
Bring a sample export or describe the CRM, invoicing tool, or spreadsheet you use now. We will review what data is available, what should move into HighLevel, and whether the standard migration scope fits before the import begins.
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