Get to know Retailmenot better with 3 real example sentences.
Retailmenot in a sentence
Context around Retailmenot
- Average sentence length in these examples: 18.7 words
- Position in the sentence: 1 start, 2 middle, 0 end
- Sentence types: 3 statements, 0 questions, 0 exclamations
Corpus analysis for Retailmenot
- In this selection, "retailmenot" usually appears in the middle of the sentence. The average example has 18.7 words, and this corpus slice is mostly made up of statements.
- Around the word, wallet and offers stand out and add context to how "retailmenot" is used.
- Recognizable usage signals include chang from retailmenot offers guidelines and in their retailmenot wallet and. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "retailmenot" sits close to words such as aabc, aacr and aacsb, which helps place it inside the broader word index.
Example types with retailmenot
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
RetailMeNot is starting the holiday season with a new shopping holiday. (11 words)
The cash back will appear in their RetailMeNot Wallet and they will be notified via e-mail when they receive payment. (21 words)
Ops Talks – “How To Stand Up A Multi-Touch Attribution System” – Vivian Chang from RetailMeNot offers guidelines and tips for training your MTA software. (24 words)
Ops Talks – “How To Stand Up A Multi-Touch Attribution System” – Vivian Chang from RetailMeNot offers guidelines and tips for training your MTA software. (24 words)
The cash back will appear in their RetailMeNot Wallet and they will be notified via e-mail when they receive payment. (21 words)
RetailMeNot is starting the holiday season with a new shopping holiday. (11 words)
Example sentences (3)
RetailMeNot is starting the holiday season with a new shopping holiday.
The cash back will appear in their RetailMeNot Wallet and they will be notified via e-mail when they receive payment.
Ops Talks – “How To Stand Up A Multi-Touch Attribution System” – Vivian Chang from RetailMeNot offers guidelines and tips for training your MTA software.