Importing data from a file is different than importing data from another platform. When we fetch data from our out-of-the-box integrations, Funnel has already determined the unit (data type), name and other necessary information for each field on your behalf.

In this case, you control both the data and its formatting, and how Funnel should interpret and import the data. We do our best to help you set up a working configuration by applying smart suggestions, but we can't control how the data looks. Because of this, you may run in to import errors when Funnel is unable to successfully parse the data for your current configuration.

We know how important it is for you to get accurate data. This is why we raise these errors so you are able to address them, rather than hide them and risk you getting inaccurate data.

Missing headers

Funnel uses the data headers to identify which column is which. If a header has been removed or renamed from the data, you'll see an error such as this:

The column header 'Impressions' could not be found in the sheet. Has it been renamed or removed?

Either make sure a column with that exact header exists in the sheet, or edit the import configuration and remove that field entirely.

Failed to parse cells

When you get an error starting with Failed to parse cells it means that we were unable to successfully take the value from a cell and convert it to the unit you want in Funnel.

You will get a summary of all columns that could not be imported with examples of cells that failed.

Type conversion error

When Funnel cannot convert a data type to the unit you specified in the field configuration, you will get an error such as this:

Type conversion error. Could not convert cell value to a number.

In this specific case, the field is set to be "Number" but the cell value could not be parsed as a number (i.e. it might be a plain text such as "-" or "N/A").

To resolve this, make sure all cells in number columns are indeed numbers.

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