Animales Matsés
ASO Keyword Dashboard
Tracking 96 keywords for Animales Matsés in Google Play
Animales Matsés tracks 96 keywords (no keywords rank yet; 96 need traction). Key metrics: opportunity 71.2, difficulty 44.5.
Illustrations of 504 species of animals found in the Amazon
Tracked keywords
96
0 ranked • 96 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
71.2
Top keyword: promote
Avg difficulty
44.5
Lower scores indicate easier wins
Opportunity leaders
- 65.7
promote
Opportunity: 74.0 • Difficulty: 40.6 • Rank —
Competitors: 355
- 61.9
consultation
Opportunity: 74.0 • Difficulty: 38.7 • Rank —
Competitors: 259
- 64.2
artist
Opportunity: 74.0 • Difficulty: 55.5 • Rank —
Competitors: 561
- 60.1
incredibly
Opportunity: 74.0 • Difficulty: 40.2 • Rank —
Competitors: 408
- 65.7
animals
Opportunity: 74.0 • Difficulty: 45.7 • Rank —
Competitors: 1,280
Unranked opportunities
promote
Opportunity: 74.0 • Difficulty: 40.6 • Competitors: 355
consultation
Opportunity: 74.0 • Difficulty: 38.7 • Competitors: 259
artist
Opportunity: 74.0 • Difficulty: 55.5 • Competitors: 561
incredibly
Opportunity: 74.0 • Difficulty: 40.2 • Competitors: 408
animals
Opportunity: 74.0 • Difficulty: 45.7 • Competitors: 1,280
High competition keywords
find
Total apps: 307,165 • Major competitors: 16,288
Latest rank: — • Difficulty: 59.7
features
Total apps: 253,887 • Major competitors: 13,784
Latest rank: — • Difficulty: 59.3
using
Total apps: 221,966 • Major competitors: 10,965
Latest rank: — • Difficulty: 57.9
play
Total apps: 206,958 • Major competitors: 18,529
Latest rank: — • Difficulty: 62.1
learn
Total apps: 143,720 • Major competitors: 6,600
Latest rank: — • Difficulty: 55.8
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| play | 66 | 100 | 62 | 85 206,958 competing apps Median installs: 6,219 Avg rating: 2.3 | — | — | 18,529 major competitor apps |
| word | 70 | 100 | 49 | 75 50,132 competing apps Median installs: 3,082 Avg rating: 2.2 | — | — | 2,200 major competitor apps |
| level | 68 | 100 | 55 | 80 109,650 competing apps Median installs: 1,859 Avg rating: 2.1 | — | — | 6,423 major competitor apps |
| page | 72 | 100 | 48 | 71 28,299 competing apps Median installs: 2,819 Avg rating: 2.1 | — | — | 1,479 major competitor apps |
| audio | 69 | 100 | 53 | 77 67,250 competing apps Median installs: 3,259 Avg rating: 2.1 | — | — | 3,223 major competitor apps |
| language | 69 | 100 | 54 | 76 62,071 competing apps Median installs: 2,203 Avg rating: 2.0 | — | — | 2,472 major competitor apps |
| learn | 67 | 100 | 56 | 82 143,720 competing apps Median installs: 1,912 Avg rating: 2.0 | — | — | 6,600 major competitor apps |
| promote | 74 | 100 | 41 | 66 13,336 competing apps Median installs: 744 Avg rating: 1.8 | — | — | 355 major competitor apps |
| used | 68 | 100 | 55 | 81 116,194 competing apps Median installs: 2,383 Avg rating: 2.0 | — | — | 4,649 major competitor apps |
| educational | 70 | 100 | 48 | 76 60,759 competing apps Median installs: 981 Avg rating: 1.8 | — | — | 2,027 major competitor apps |
| people | 68 | 100 | 55 | 80 103,569 competing apps Median installs: 2,224 Avg rating: 2.1 | — | — | 5,286 major competitor apps |
| using | 66 | 100 | 58 | 85 221,966 competing apps Median installs: 2,289 Avg rating: 2.0 | — | — | 10,965 major competitor apps |
| find | 65 | 100 | 60 | 87 307,165 competing apps Median installs: 2,265 Avg rating: 2.1 | — | — | 16,288 major competitor apps |
| traditional | 71 | 100 | 46 | 73 36,002 competing apps Median installs: 1,324 Avg rating: 1.9 | — | — | 1,409 major competitor apps |
| including | 67 | 100 | 57 | 81 129,573 competing apps Median installs: 2,109 Avg rating: 2.1 | — | — | 6,950 major competitor apps |
| consultation | 74 | 100 | 39 | 62 7,729 competing apps Median installs: 1,351 Avg rating: 1.8 | — | — | 259 major competitor apps |
| students | 70 | 100 | 46 | 76 58,530 competing apps Median installs: 874 Avg rating: 1.6 | — | — | 679 major competitor apps |
| contains | 69 | 100 | 48 | 77 66,906 competing apps Median installs: 3,651 Avg rating: 2.0 | — | — | 1,940 major competitor apps |
| knowledge | 70 | 100 | 47 | 76 59,748 competing apps Median installs: 1,119 Avg rating: 1.9 | — | — | 1,263 major competitor apps |
| become | 68 | 100 | 55 | 80 102,830 competing apps Median installs: 4,648 Avg rating: 2.2 | — | — | 8,739 major competitor apps |
| orders | 71 | 100 | 45 | 72 35,348 competing apps Median installs: 352 Avg rating: 1.7 | — | — | 720 major competitor apps |
| useful | 70 | 100 | 48 | 75 53,446 competing apps Median installs: 2,940 Avg rating: 2.1 | — | — | 2,424 major competitor apps |
| features | 66 | 100 | 59 | 86 253,887 competing apps Median installs: 2,163 Avg rating: 2.1 | — | — | 13,784 major competitor apps |
| according | 70 | 100 | 46 | 74 45,432 competing apps Median installs: 3,277 Avg rating: 2.0 | — | — | 1,874 major competitor apps |
| sound | 69 | 100 | 52 | 76 61,620 competing apps Median installs: 5,226 Avg rating: 2.2 | — | — | 4,211 major competitor apps |
App Description
Illustrations of 504 species of animals found in the Amazon
This 129-page app is the first of its kind. It illustrates the incredibly high animal diversity found in the western Amazon along with the sophisticated traditional ecological knowledge of the Matses people with illustrations of 504 species of animals drawn by artist Matses Guillermo Nëcca Pëmen Mënquë. Contains audio clips with Matses names of the 504 species in the book. The application contains pictures of almost all animal species that have names in the Matses language. Illustrations of species in all major categories of animals present in Matses territory, including mammals, birds, reptiles, amphibians, fish, insects, centipedes, arachnids, crustaceans, mollusks, worms, and other invertebrates. More than 200 animal families are represented in 82 orders. Dr. David w. Fleck in consultation with the Matses elders using published field guides, photographs, and audio recordings of animal calls. Dr. Fleck is a biologist and linguist who lives with the Matses and has been conducting biological, linguistic, ethnographic and ethnobiological research with them since 1994.
This interactive educational application features drawings of the local fauna of the Amazonian rainforest of Peru, with names of the animals in the Matses language and in local Spanish, accompanied by sound clips of the Matses names that play when clicked. The animals are organized taxonomically according to the phylum, order, and family to which they belong. The main purposes are to familiarize indigenous Matses students with scientific classification and to encourage intergenerational transmission of traditional ecological knowledge. It can be used by emergent readers to learn to read at the word level in Matses. Non-Matses will find this application useful for familiarizing themselves with the fauna of Amazonian Peru, and for learning the vernacular Spanish terms for these animals.
This 129-page application is the first of its kind. It illustrates the amazingly high animal diversity found Western Amazonia along with the sophisticated traditional ecological knowledge of the Matses people with illustrations of 504 species of animals drawn by Matses artist Guillermo Nëcca Pëmen Mënquë. It contains audio clips for the Matses names of all 504 species in the book. The application contains drawings of almost all the animal species that have names in the Matses language. It illustrates species in all the major categories of animals present in the Matses territory, including mammals, birds, reptiles, amphibians, fish, insects, centipedes, arachnids, crustaceans, mollusks, worms and other invertebrates. More than 200 animal families in 82 orders are represented. Matching of Matses animal names to animal species was carried out by Dr. David w. Fleck in consultation with Matses elders using published field guides, photographs and audio recordings of animal calls. Dr. Fleck is a biologist and linguist who has been living with the Matses and conducting biological, linguistic, ethnographic, and ethnobiological research with them since 1994.
