Koalingo case study

IChallenge

Most vocabulary apps hand everyone the same list, so learners revise what they already know and never reach what they do not. The platform had to find the real gap, bring it back at the right interval and keep practice from becoming a chore, while also capturing search traffic from thousands of word queries.

IIApproach

1. 01

   A word world was built: the Oxford 3000 and 5000 lists across levels A1 to C1, themes and collections, each word with its meaning, pronunciation, examples and synonyms on its own page.

2. 02

   Learning state is kept per word, so the study list is rebuilt per person from what is learned, due for revision or never seen.

3. 03

   AI assisted practice modes were developed: spoken practice, a writing project and a placement test, all fed by the learner's own history.

4. 04

   An SEO architecture generates a page per word with a word level sitemap, and a GEO layer makes the definitions citable in AI search.

5. 05

   A content network of guides and blog posts was woven into the word pages through internal links.

6. 06

   A management panel handles users, word lists, content and subscriptions in one place.