Youbooks
ASO Keyword Dashboard
Tracking 99 keywords for Youbooks in Google Play
Youbooks tracks 99 keywords (no keywords rank yet; 99 need traction). Key metrics: opportunity 69.9, difficulty 49.3.
Personalised non-fiction book recommendations that actually works!
Tracked keywords
99
0 ranked • 99 not ranking yet
Top 10 coverage
—
Best rank — • Latest leader —
Avg opportunity
69.9
Top keyword: started
Avg difficulty
49.3
Lower scores indicate easier wins
Opportunity leaders
- 68.4
started
Opportunity: 73.0 • Difficulty: 49.8 • Rank —
Competitors: 1,064
- 67.5
young
Opportunity: 73.0 • Difficulty: 45.8 • Rank —
Competitors: 1,014
- 62.8
taste
Opportunity: 72.0 • Difficulty: 45.9 • Rank —
Competitors: 577
- 69.9
books
Opportunity: 72.0 • Difficulty: 52.1 • Rank —
Competitors: 755
- 62.3
aware
Opportunity: 72.0 • Difficulty: 41.2 • Rank —
Competitors: 426
Unranked opportunities
started
Opportunity: 73.0 • Difficulty: 49.8 • Competitors: 1,064
young
Opportunity: 73.0 • Difficulty: 45.8 • Competitors: 1,014
taste
Opportunity: 72.0 • Difficulty: 45.9 • Competitors: 577
books
Opportunity: 72.0 • Difficulty: 52.1 • Competitors: 755
aware
Opportunity: 72.0 • Difficulty: 41.2 • Competitors: 426
High competition keywords
new
Total apps: 193,474 • Major competitors: 25,823
Latest rank: — • Difficulty: 65.7
time
Total apps: 170,577 • Major competitors: 19,592
Latest rank: — • Difficulty: 64.6
make
Total apps: 163,352 • Major competitors: 21,922
Latest rank: — • Difficulty: 65.0
like
Total apps: 150,415 • Major competitors: 21,531
Latest rank: — • Difficulty: 68.5
find
Total apps: 143,808 • Major competitors: 16,874
Latest rank: — • Difficulty: 65.1
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| new | 64 | 100 | 66 | 90 193,474 competing apps Median installs: 42,470 Avg rating: 3.0 | — | — | 25,823 major competitor apps |
| make | 64 | 100 | 65 | 89 163,352 competing apps Median installs: 42,108 Avg rating: 3.0 | — | — | 21,922 major competitor apps |
| better | 69 | 100 | 57 | 79 39,640 competing apps Median installs: 36,260 Avg rating: 3.0 | — | — | 4,807 major competitor apps |
| contact | 67 | 100 | 58 | 82 58,884 competing apps Median installs: 30,986 Avg rating: 2.8 | — | — | 5,729 major competitor apps |
| reliable | 71 | 100 | 51 | 73 19,185 competing apps Median installs: 30,368 Avg rating: 2.7 | — | — | 1,887 major competitor apps |
| used | 67 | 100 | 61 | 82 61,233 competing apps Median installs: 32,225 Avg rating: 2.8 | — | — | 5,711 major competitor apps |
| save | 67 | 100 | 65 | 83 75,490 competing apps Median installs: 41,387 Avg rating: 3.0 | — | — | 9,726 major competitor apps |
| created | 70 | 100 | 51 | 76 26,487 competing apps Median installs: 29,378 Avg rating: 2.8 | — | — | 2,330 major competitor apps |
| people | 68 | 100 | 60 | 80 49,228 competing apps Median installs: 35,592 Avg rating: 2.8 | — | — | 5,524 major competitor apps |
| find | 65 | 100 | 65 | 88 143,808 competing apps Median installs: 36,002 Avg rating: 3.0 | — | — | 16,874 major competitor apps |
| time | 64 | 100 | 65 | 89 170,577 competing apps Median installs: 33,133 Avg rating: 2.9 | — | — | 19,592 major competitor apps |
| taste | 72 | 100 | 46 | 63 4,744 competing apps Median installs: 31,254 Avg rating: 2.9 | — | — | 577 major competitor apps |
| help | 65 | 100 | 66 | 87 123,065 competing apps Median installs: 36,787 Avg rating: 3.0 | — | — | 14,840 major competitor apps |
| process | 70 | 100 | 50 | 74 20,843 competing apps Median installs: 26,049 Avg rating: 2.6 | — | — | 1,825 major competitor apps |
| reading | 70 | 100 | 50 | 75 26,120 competing apps Median installs: 28,202 Avg rating: 2.8 | — | — | 1,913 major competitor apps |
| supply | 71 | 100 | 39 | 59 2,775 competing apps Median installs: 25,252 Avg rating: 2.6 | — | — | 234 major competitor apps |
| small | 70 | 100 | 51 | 75 24,961 competing apps Median installs: 32,987 Avg rating: 2.9 | — | — | 2,750 major competitor apps |
| many | 66 | 100 | 62 | 85 96,753 competing apps Median installs: 43,740 Avg rating: 2.9 | — | — | 12,574 major competitor apps |
| book | 69 | 100 | 54 | 77 32,371 competing apps Median installs: 24,485 Avg rating: 2.5 | — | — | 2,333 major competitor apps |
| good | 68 | 100 | 54 | 79 44,246 competing apps Median installs: 35,774 Avg rating: 2.8 | — | — | 4,689 major competitor apps |
| part | 69 | 100 | 61 | 77 31,519 competing apps Median installs: 30,635 Avg rating: 2.8 | — | — | 3,488 major competitor apps |
| like | 65 | 100 | 68 | 88 150,415 competing apps Median installs: 46,503 Avg rating: 3.0 | — | — | 21,531 major competitor apps |
| books | 72 | 100 | 52 | 70 12,384 competing apps Median installs: 27,974 Avg rating: 2.7 | — | — | 755 major competitor apps |
| aware | 72 | 100 | 41 | 62 4,398 competing apps Median installs: 31,492 Avg rating: 2.8 | — | — | 426 major competitor apps |
| know | 67 | 100 | 59 | 82 59,090 competing apps Median installs: 29,580 Avg rating: 2.8 | — | — | 5,859 major competitor apps |
App Description
Personalised non-fiction book recommendations that actually works!
Use the precision of this mathematical algorithm, which has been proven to predict good book recommendations based on your taste in youtuber and books you've liked
Why Youbooks:
I read dozens of non-fiction books that all can be considered part of the self-improvement bookshelf. While I was happy to read any new good book, I hated the feeling of reading a bad book just because I didn't know of any new good books at the moment. To get decent recommendations, I tried many channels. I asked people I admired, I used algorithms based on my reading habits (like Amazon), and I read reviews. Unfortunately, all of these methods were insufficient in themselves. While Amazon just isn't good at recommending good books to me, reading and comparing reviews and constantly looking for people I admire wasn't sustainable or reliable. Then I found a solution for myself that ended the problem. Youtube gave me the opportunity to find people I admire and their book recommendations on a constant basis. So I created a small database of books that are recommended by youtubers I look up to, and compared which books most of them recommend. This has given me a steady supply of new book recommendations over the past few years. During this time the database grew to a size, where the recommendations became better and better, but where manuel comparison was not possible anymore. As people eventually started asking me for book recommendations, I started automating this process to save myself time. Since the algorithm I developed has proven to be useful and reliable for many other people as well as for myself, I'm now sharing this algorithm with you.
Be aware that this is still a very young project and the database is growing. Your help will be highly valued. If you can't find youtubers or books, contact me and I'll add them as soon as possible.
