Match Types - Every Type (Between 2 Datasets)
Full Values (CSV Input)
Drag & drop or choose file.
Matching Criteria (CSV Input)
Drag & drop or choose file.
1. Aggregate 'INPUT' Values
- INPUT values can be anything where you are looking to identify instances where a frament of a word may be found in it.
- e.g., a MATCH value may be "seo" - where the "INPUT" may be something like "seo best practices" - this would consititute a match, as "seo" is found in "seo best practices."
- The document should have the column INPUT somewhere in the CSV.
- However, you can have other columns.
- The 'other' optional columns, if they exist, will be returned with the data.
- e.g., you may have the 'INPUT' next to a URL - which would return the URL next to the output as well. Checkout the Input / Output document exmaples for more context!
- The file must be CSV format.
2. Aggregate 'MATCH' Values
- The MATCH values are partial values you're looking for within the INPUT values.
- e.g., (same as last step) a MATCH value may be "seo" - where the "INPUT" may be something like "seo best practices" - this would consititute a match, as "seo" is found in "seo best practices."
- The file must be CSV format.
3. Input CSV data into their respective Dropzone's within the interface.
- Either click on the dropzone or drag and drop files onto the dropzone.
- Double check to ensure all the files have the .csv extension when adding!
