Flookup uses fuzzy matching algorithms to power data cleaning in Google Sheets. Flookup is designed to handle different kinds of datasets, including those that contain text entries with partial matches, typos or different spelling conventions.

A Brief Overview of Flookup Functions:
1. FLOOKUP, QLOOKUP and MLOOKUP: Merge data or match text in vertically structured data, based on percentage similarity. Matches for each lookup value are ranked in order of descending percentage similarity.
2. HFLOOKUP: Merge data or match text in horizontally structured data, based on percentage similarity. Matches for each lookup value are ranked in order of descending percentage similarity.
3. SOUNDMATCH: Merge data or match text in vertically structured data, based on sound similarity. Matches for each lookup value are ranked in alphabetical order.
4. FUZZYMATCH: Calculate the percentage similarity between two text entries. It can also calculate the percentage similarity between concatenated text entries.
5. ULIST: Extract unique values from a specified range based on percentage similarity.
6. NORMALIZE: Remove diacritical marks, punctuation marks or stop words from any text. This is especially useful if applied before using any of the functions mentioned above.

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Additional Functions:
1. Remove fuzzy duplicates based on percentage or sound similarity.
2. Highlight fuzzy duplicates based on percentage or sound similarity.

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Common Flookup Use-cases:
1. Email Campaigns: Clean your email list by removing duplicates and out-of-use or invalid email addresses.
2. Database Standardization: Ensure that your records are up-to-date and consistent by comparing and linking data across separate sources.
3. Database Scrubbing: Fix database errors like spelling mistakes, missing or duplicate entries and formatting differences.
4. Website Redirect Mapping: Reduce the manual work and errors associated with mapping redirects for 404 and site migration cases, thereby improving your overall SEO strategy.
5. Competitor Research: Perform competitor analysis of URL and page title differences in order to identify keyword opportunities.
6. Internal Linking Opportunities: Identify and link pages with the same topic cluster or content structure.
7. Fraud Detection: Discover and remove data that exists in more than one database when it should not, even with "disguised" spelling differences.
8. Platform Independent Fuzzy Matching: Flookup provides a peerless fuzzy lookup or fuzzy match alternative for users on platforms like Windows, macOS and Linux.

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[Website] https://www.getflookup.com
[Community] https://groups.google.com/g/flookup
[Changelog] https://groups.google.com/g/flookup/c/ZbceLjo4Y2c

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