RAD Study
ASO Keyword Dashboard
Tracking 72 keywords for RAD Study in Apple App Store
RAD Study tracks 72 keywords (1 keyword ranks; 71 need traction). Key metrics: 0% top-10 coverage, opportunity 70.2, difficulty 39.7, best rank 168.
Tracked keywords
72
1 ranked • 71 not ranking yet
Top 10 coverage
0%
Best rank 168 • Latest leader 168
Avg opportunity
70.2
Top keyword: research
Avg difficulty
39.7
Lower scores indicate easier wins
Opportunity leaders
- 66.9
research
Opportunity: 73.0 • Difficulty: 41.8 • Rank 168
Competitors: 110
- 67.7
among
Opportunity: 73.0 • Difficulty: 42.8 • Rank —
Competitors: 190
- 65.0
problem
Opportunity: 73.0 • Difficulty: 40.0 • Rank —
Competitors: 125
- 67.2
needed
Opportunity: 73.0 • Difficulty: 41.7 • Rank —
Competitors: 114
- 63.5
associated
Opportunity: 73.0 • Difficulty: 39.7 • Rank —
Competitors: 68
Unranked opportunities
among
Opportunity: 73.0 • Difficulty: 42.8 • Competitors: 190
problem
Opportunity: 73.0 • Difficulty: 40.0 • Competitors: 125
needed
Opportunity: 73.0 • Difficulty: 41.7 • Competitors: 114
associated
Opportunity: 73.0 • Difficulty: 39.7 • Competitors: 68
relationship
Opportunity: 73.0 • Difficulty: 39.2 • Competitors: 95
High competition keywords
new
Total apps: 182,994 • Major competitors: 3,792
Latest rank: — • Difficulty: 56.1
help
Total apps: 150,250 • Major competitors: 2,451
Latest rank: — • Difficulty: 55.1
experience
Total apps: 122,490 • Major competitors: 2,155
Latest rank: — • Difficulty: 54.1
information
Total apps: 112,143 • Major competitors: 1,128
Latest rank: — • Difficulty: 52.4
data
Total apps: 86,751 • Major competitors: 1,000
Latest rank: — • Difficulty: 51.5
All tracked keywords
Includes opportunity, difficulty, rankings and competitor benchmarks
| Major Competitors | |||||||
|---|---|---|---|---|---|---|---|
| research | 73 | 100 | 42 | 67 10,014 competing apps Median installs: 400 Avg rating: 4.1 | 168 | 168 | 110 major competitor apps |
| new | 65 | 100 | 56 | 88 182,994 competing apps Median installs: 600 Avg rating: 4.1 | — | — | 3,792 major competitor apps |
| health | 69 | 100 | 48 | 77 39,249 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 533 major competitor apps |
| better | 69 | 100 | 49 | 77 41,612 competing apps Median installs: 500 Avg rating: 4.2 | — | — | 716 major competitor apps |
| collect | 70 | 100 | 50 | 76 33,298 competing apps Median installs: 750 Avg rating: 4.2 | — | — | 977 major competitor apps |
| experience | 66 | 100 | 54 | 85 122,490 competing apps Median installs: 500 Avg rating: 4.2 | — | — | 2,155 major competitor apps |
| information | 66 | 100 | 52 | 84 112,143 competing apps Median installs: 350 Avg rating: 4.1 | — | — | 1,128 major competitor apps |
| aimed | 71 | 100 | 34 | 56 2,207 competing apps Median installs: 250 Avg rating: 4.1 | — | — | 16 major competitor apps |
| provide | 68 | 100 | 49 | 79 55,996 competing apps Median installs: 350 Avg rating: 4.1 | — | — | 558 major competitor apps |
| help | 65 | 100 | 55 | 87 150,250 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 2,451 major competitor apps |
| including | 68 | 100 | 52 | 81 67,998 competing apps Median installs: 600 Avg rating: 4.1 | — | — | 1,401 major competitor apps |
| among | 73 | 100 | 43 | 68 11,149 competing apps Median installs: 500 Avg rating: 4.1 | — | — | 190 major competitor apps |
| understanding | 72 | 100 | 42 | 69 14,215 competing apps Median installs: 350 Avg rating: 4.2 | — | — | 89 major competitor apps |
| effective | 72 | 100 | 43 | 70 16,268 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 142 major competitor apps |
| students | 71 | 100 | 44 | 72 19,007 competing apps Median installs: 300 Avg rating: 4.0 | — | — | 76 major competitor apps |
| engaging | 71 | 100 | 46 | 73 23,230 competing apps Median installs: 500 Avg rating: 4.2 | — | — | 383 major competitor apps |
| activity | 72 | 100 | 46 | 71 16,793 competing apps Median installs: 500 Avg rating: 4.2 | — | — | 281 major competitor apps |
| many | 67 | 100 | 51 | 82 77,117 competing apps Median installs: 550 Avg rating: 4.1 | — | — | 1,352 major competitor apps |
| plan | 69 | 100 | 49 | 77 37,910 competing apps Median installs: 500 Avg rating: 4.2 | — | — | 749 major competitor apps |
| social | 68 | 100 | 50 | 79 55,276 competing apps Median installs: 450 Avg rating: 4.2 | — | — | 888 major competitor apps |
| problem | 73 | 100 | 40 | 65 7,619 competing apps Median installs: 500 Avg rating: 4.1 | — | — | 125 major competitor apps |
| develop | 72 | 100 | 43 | 70 14,694 competing apps Median installs: 450 Avg rating: 4.1 | — | — | 214 major competitor apps |
| knowledge | 71 | 100 | 45 | 73 24,192 competing apps Median installs: 400 Avg rating: 4.2 | — | — | 194 major competitor apps |
| information needed | 68 | 100 | 25 | 42 307 competing apps Median installs: 300 Avg rating: 4.1 | — | — | 0 major competitor apps |
| needed | 73 | 100 | 42 | 67 10,337 competing apps Median installs: 400 Avg rating: 4.1 | — | — | 114 major competitor apps |
App Description
High-risk alcohol consumption is a serious health problem among college students that leads to many physical, emotional, social, and cognitive consequences, including death. Recently, 38% of college students reported engaging in binge drinking in the last month and 11.4% reported heavy alcohol use. Alcohol use has been associated with violent victimization, bullying, and discrimination, all of which are contextual social exposures. The data we collect will help us better understand the causal pathways between environmental and social predictors and high-risk alcohol use among college students.
We plan to use these data to 1) Characterize the activity spaces of college students and examine how they are correlated with contextual environmental and social exposures, and alcohol use behaviors; 2) Examine the direct associations between (a) environmental (i.e., place-based exposures including physical disorder, crime/violence, alcohol outlets, social disorder) and (b) social contexts (i.e., violent victimization, bullying, and discrimination) and high-risk alcohol drinking among college students; and 3) Assess moderation by gender and race/ethnicity and mediation by potential psychosocial variables in the relationship between contextual (a) environmental and (b) social exposures and high-risk alcohol drinking.
This new knowledge will provide the information needed to develop appropriate and effective interventions aimed at reducing high-risk alcohol drinking among college students.