Fuzzy lookup, highlight and remove duplicates in Google Sheets™.
정보 업데이트:2024년 4월 28일
호환 기기:
7만+
개요
Flookup is a lightweight data cleaning suite for Google Sheets™. It 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
+ NORMALIZE: Remove diacritical marks, punctuation marks or stop words from any text. This function is particularly useful if applied before using any of the other functions mentioned in this list and it is free to use without subscribing or registering.
+ FUZZYMATCH: Calculate the percentage similarity between two text entries. You can also calculate the percentage similarity between concatenated text entries. This function is also free to use without subscribing or registering.
+ FLOOKUP: Fuzzy match or merge data in vertically structured data, based on percentage similarity. Matches for each lookup value are ranked in order of descending percentage similarity.
+ SOUNDMATCH: Fuzzy match or merge data in vertically structured data, based on sound similarity. Matches for each lookup value are ranked in alphabetical order and this function is based on the refined SOUNDEX algorithm.
+ ULIST: Extract unique values from a specified range based on percentage similarity.
+ REMOVE DUPLICATES: Use this function to delete any duplicates based on how similar the text entries are by percentage or sound similarity. You can also rollup or combine multiple rows by percentage similarity.
+ HIGHLIGHT DUPLICATES: Use this function to highlight any duplicates based on how similar the text entries are by percentage or sound similarity.
+ PROCESS DATA WITH GPT MODELS -  [COMING SOON]

🟢 [HOW TO ACTIVATE FLOOKUP] https://www.getflookup.com/get-started

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COMMON FLOOKUP USE-CASES
+ Email Campaigns: Boost your email marketing efforts by cleaning your email lists. Remove duplicates, out-of-use, and invalid email addresses to ensure maximum deliverability and engagement.
+ Competitor Research: Stay ahead of the competition by performing in-depth analyses of URL and page title differences. Identify keyword opportunities and optimise your content for better search engine visibility.
+ Internal Linking Opportunities: Enhance your website's user experience and SEO by identifying and linking pages with the same topic cluster or content structure. Find and link relevant pages with ease.
+ Database Scrubbing: Keep your database error-free with Flookup. Fix common issues like spelling mistakes, missing or duplicate entries, and formatting differences to ensure accurate and reliable data.
+ Database Standardisation: Ensure that your records are up-to-date and consistent by comparing and linking data across separate sources. Standardise your database for improved accuracy and efficiency with ease.
+ Website Redirect Mapping: Simplify the process of mapping redirects for 404 and site migration cases. Reduce manual work and errors and improve your overall SEO strategy.
+ Fraud Detection: Protect your business from fraud by discovering and removing data that exists in more than one database when it should not. Detect "disguised" spelling differences to ensure maximum security.
+ Platform Independent Fuzzy Matching: Enjoy a peerless fuzzy matching alternative, available on platforms like Windows, macOS, and Linux. Flookup provides a powerful and flexible solution for all your fuzzy matching needs.

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We have three pricing plans that do not auto-renew to prevent surprise billing in future:
+ FLOOKUP BASIC: $3.99 / 1 USER / 1 WEEK
+ FLOOKUP STANDARD: $14.99 / 1 USER / 1 MONTH
+ FLOOKUP PROFESSIONAL: $124.99 / 5 USERS / 1 YEAR

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🟢 [OFFICIAL WEBSITE] https://www.getflookup.com 
🟢 [TWITTER] https://www.twitter.com/getflookup
🟢 [LINKEDIN] https://www.linkedin.com/company/flookup-data-wrangler

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🔴 If you did not like Flookup, please let us know how we can serve you better.
🫱🏻‍🫲🏽 Your feedback is much appreciated.
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Flookup Data Wrangler에서 아래에 표시된 권한을 요청합니다. 자세히 알아보기
Flookup Data Wrangler에서 Google 계정에 액세스해야 함
이렇게 하면 Flookup Data Wrangler에서 다음 작업을 할 수 있습니다.
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