The big word factory
Research answer
What AppTrendKit can say about The big word factory today
The big word factory has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution
Country estimates are aggregated only after country-level predictions exist.
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.5.2
- Released
- Oct 17, 2013
- Last updated
- May 29, 2018
- Content rating
- 4+
- Default storefront
- LU
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
Read, play, learn, discover, dream: an enchanting picturebook-app for children aged 3 and up and lovebirds of any age – based on the bestseller „The great word factory“ by Agnès de Lestrade and Valeria Docampo. Awarded multiple times, e.g. with the Leipziger Lesekompass by Leipzig Bookfair and Stiftung Lesen. Highlights - Carefully implemented Mini-games - Playful learning for curious children aged 3+ - Artistic illustrations, specifically modified for the app - Beautiful animations and interactions - Charming audio track Games/Interactions (Tap the magic flying words and dive into the world of the word factory!) - Listen to individual words in the story by tapping them - Get to know a wide spectrum of words: sweet and bad words, funny and obsolete words, rhymes and greetings - Learn how various words sound in different languages - Find matching syllables and put them together to form words - Catch flying words - Help create the story and choose the colour of Marie’s dress Features: - Child-appropriate control and navigation - Read-aloud feature in 3 languages: German, English, French - Visual table of contents - Bonus: full story as a picture book film Story Paul and Marie are living in a land where people hardly ever speak. You have to buy and swallow words to be able to pronounce them. And words are expensive, especially the really good ones. So Paul collects words he finds on the street: „Cherry, Dust, Chair“. He wants to give them to Marie, to show her how much he likes her. „The great word factory“ talks about the world of words and the power of language. And the fact that in concerns of the heart, it doesn’t always matter what you say but rather how you say it. The two children, Paul and Marie, are the best example for that. Awards - GIGA Maus 2014 - Leipziger Lesekompass 2014 of Leipzig Bookfair and Stiftung Lesen - Pädagogischer Interaktiv-Preis 2014 - Children’s media award „Der weiße Elefant“ 2014 - Among the best children’s book apps 2013 at BesteKinderApps.de - Among the best book apps 2013 at Kirkus Reviews Press - „A sweeping declaration of love for the power of words, the world of reading and the value of language – a joy for the whole family to be looked at again and again.“ (RBB Kulturradio) - „This picturebook app inspires a love for literature.“ (DIE ZEIT) - „Very poetic.“ (ZEIT Wissen) - „A playful and mindful approach to language is creatively put into pictures and interactions! A wonderful story of friendship, full of emotion and imagination.“ (Leipziger Lesekompass 2014) - „The subtle illustrations and the calm atmosphere of the app fascinate children and adults alike. Enchanting!“ (Eltern family) - „A highly recommended app leading children into the imaginative world of language again and again.“ (DJI – Deutsches Jugendinstitut) Help We want you to enjoy the story of Paul and Marie without limitations. Thus we are there for you, should there be any technical problem despite all our efforts. Please send us an Email at help@mixtvision.de - unfortunately, it’s not possible to reply to comments in the App store. Thank you! Adults Dear parents, we at mixtvision Digital produce high quality apps which you can discover, read and play with your children without concern. Here, as with all our other apps, we consciously made the decision not to use advertisements or in-app purchases. If you like the stories we tell in our apps, we would be glad about a positive rating and a comment here in the app store. Thank you!
Publisher websiteStore creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 8:37 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 8:37 PM.
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