Begin by logging into your Primetric account and navigating to the section where you can export data. Typically, this will be a reporting or data export feature. Export the required data in a CSV or JSON format, as these are commonly used file formats that Snowflake can ingest. Save these files securely on your local system or a secure cloud storage service.

Inspect the exported data files to ensure they are complete and in a structured format that Snowflake can process. Clean and format the data as needed, handling any missing or inconsistent data points. Ensure that column headers and data types align with the schema you plan to use in Snowflake.

If you haven't already, set up a Snowflake account. This involves selecting a cloud provider (AWS, Azure, or Google Cloud) and configuring your Snowflake environment. Ensure that you have the necessary permissions to create databases, schemas, and tables within your Snowflake instance.

Log into your Snowflake console and create a new database and schema to store your Primetric data. Use the SQL worksheet in Snowflake to execute the following SQL commands:
```sql
CREATE DATABASE primetric_data;
CREATE SCHEMA primetric_data.public;
```

Based on the structure of the exported data, create corresponding tables in Snowflake. Define the appropriate data types for each column to ensure data integrity. Use SQL commands similar to the following:
```sql
CREATE TABLE primetric_data.public.your_table_name (
column1_name data_type,
column2_name data_type,
...
);
```

Use the Snowflake web interface or SnowSQL command-line tool to upload the data files to a Snowflake stage. If using SnowSQL, the command will look like this:
```bash
snowsql -q "PUT file:///path/to/your_file.csv @%your_table_name"
```
This command uploads the file to a Snowflake stage associated with your table.

Execute a `COPY INTO` command to load the data from the stage into your Snowflake tables. Ensure that the data fields in the file match the table columns. The command looks like this:
```sql
COPY INTO primetric_data.public.your_table_name
FROM @%your_table_name
FILE_FORMAT = (TYPE = 'CSV' FIELD_OPTIONALLY_ENCLOSED_BY = '"');
```
Monitor the process to ensure that the data is loaded successfully and verify the data integrity by querying the tables.

By following these steps, you can effectively move data from Primetric to Snowflake without employing third-party connectors or integrations.