NTR welbevinden

Developer: Avicenna Research

Category: Tools

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672 installs

Ratings not yet available

27 monthly active users

Revenue not available

ASO Keyword Dashboard

Tracking 82 keywords for NTR welbevinden in Google Play

Developer: Avicenna Research Category: tools Rating: 3.74

NTR welbevinden tracks 82 keywords (no keywords rank yet; 82 need traction). Key metrics: opportunity 70.8, difficulty 45.4.

NTR investigates the individual differences in patterns of well-being.

Tracked keywords

0 ranked • 82 not ranking yet

Top 10 coverage

—

Best rank — • Latest leader —

Avg opportunity

70.8

Top keyword: supply

Avg difficulty

45.4

Lower scores indicate easier wins

Opportunity leaders

supply

Opportunity: 74.0 • Difficulty: 38.9 • Rank —

Competitors: 231
61.7
continuously

Opportunity: 74.0 • Difficulty: 42.4 • Rank —

Competitors: 503
65.1
sample

Opportunity: 74.0 • Difficulty: 40.3 • Rank —

Competitors: 251
60.2
participants

Opportunity: 74.0 • Difficulty: 36.9 • Rank —

Competitors: 78
60.8
seasonal

Opportunity: 74.0 • Difficulty: 44.8 • Rank —

Competitors: 588
62.6

Unranked opportunities

supply

Opportunity: 74.0 • Difficulty: 38.9 • Competitors: 231
continuously

Opportunity: 74.0 • Difficulty: 42.4 • Competitors: 503
sample

Opportunity: 74.0 • Difficulty: 40.3 • Competitors: 251
participants

Opportunity: 74.0 • Difficulty: 36.9 • Competitors: 78
seasonal

Opportunity: 74.0 • Difficulty: 44.8 • Competitors: 588

High competition keywords

time

Total apps: 384,338 • Major competitors: 16,191

Latest rank: — • Difficulty: 58.5
new

Total apps: 368,929 • Major competitors: 21,444

Latest rank: — • Difficulty: 59.8
like

Total apps: 289,444 • Major competitors: 20,631

Latest rank: — • Difficulty: 62.7
data

Total apps: 181,410 • Major competitors: 6,597

Latest rank: — • Difficulty: 57.5
daily

Total apps: 170,087 • Major competitors: 7,784

Latest rank: — • Difficulty: 54.9

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
new	65	100	60	89 368,929 competing apps Median installs: 2,547 Avg rating: 2.1	—	—	21,444 major competitor apps
single	69	100	52	78 75,078 competing apps Median installs: 1,819 Avg rating: 2.0	—	—	3,979 major competitor apps
phone	67	100	62	83 152,369 competing apps Median installs: 2,624 Avg rating: 2.1	—	—	8,545 major competitor apps
environment	71	100	47	72 31,905 competing apps Median installs: 1,745 Avg rating: 1.9	—	—	1,903 major competitor apps
sensing	70	100	26	44 540 competing apps Median installs: 1,032 Avg rating: 1.8	—	—	5 major competitor apps
live	67	100	57	82 143,239 competing apps Median installs: 1,368 Avg rating: 2.0	—	—	6,365 major competitor apps
active	71	100	49	72 32,577 competing apps Median installs: 1,482 Avg rating: 2.0	—	—	1,393 major competitor apps
individual	71	100	49	73 38,138 competing apps Median installs: 1,239 Avg rating: 1.9	—	—	1,070 major competitor apps
design	68	100	53	80 99,532 competing apps Median installs: 1,618 Avg rating: 1.9	—	—	4,519 major competitor apps
collection	68	100	52	80 99,741 competing apps Median installs: 3,150 Avg rating: 2.0	—	—	4,178 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
time	64	100	58	89 384,338 competing apps Median installs: 1,263 Avg rating: 2.0	—	—	16,191 major competitor apps
multiple	67	100	57	81 130,551 competing apps Median installs: 2,326 Avg rating: 2.1	—	—	8,222 major competitor apps
combination	73	100	46	67 15,634 competing apps Median installs: 2,406 Avg rating: 2.1	—	—	1,029 major competitor apps
individuals	73	100	41	67 17,154 competing apps Median installs: 490 Avg rating: 1.8	—	—	352 major competitor apps
supply	74	100	39	62 7,449 competing apps Median installs: 845 Avg rating: 1.9	—	—	231 major competitor apps
others	72	100	49	71 28,317 competing apps Median installs: 2,483 Avg rating: 2.1	—	—	1,426 major competitor apps
activity	72	100	50	71 28,546 competing apps Median installs: 1,092 Avg rating: 2.0	—	—	1,050 major competitor apps
many	67	100	57	83 165,549 competing apps Median installs: 4,224 Avg rating: 2.2	—	—	10,524 major competitor apps
social	68	100	54	81 120,096 competing apps Median installs: 2,276 Avg rating: 2.0	—	—	6,177 major competitor apps
approach	73	100	48	68 18,993 competing apps Median installs: 803 Avg rating: 1.9	—	—	449 major competitor apps
informed	69	100	47	76 62,101 competing apps Median installs: 418 Avg rating: 1.8	—	—	1,193 major competitor apps
like	65	100	63	87 289,444 competing apps Median installs: 3,592 Avg rating: 2.2	—	—	20,631 major competitor apps
continuously	74	100	42	65 12,167 competing apps Median installs: 1,974 Avg rating: 1.9	—	—	503 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

App Description

NTR investigates the individual differences in patterns of well-being.

Feelings of well-being and happiness are important to overall physical and mental health. People with higher well-being are found to live longer, healthier and more successful lives. In most research, well-being is assessed at a single time point. However, like many complex human traits, feelings of well-being fluctuate over the day or week and across contexts. Furthermore, some people show relatively stable levels of well-being over time and across contexts, while others fluctuate a lot. In a genetically informed study, we investigate the individual differences in daily, weekly and seasonal patterns of well-being and the interaction with the social environment in a large sample of twins of the Netherlands Twin Register.

The approach includes multiple assessments of well-being, whereabouts, and social interactions per day, and continuously passive sensing of the (social) environment, phone use and physical activity for 28 days throughout the year (a week each season). A subset of participants receives Bluetooth beacons to supply to individuals in their social network (e.g., friends, co-twin) to objectively assess proximity of these individuals on a daily basis.

This genetically informed design and combination of active and passive data collection results in a large data set that can lead to new insights about the fluctuations of well-being and more knowledge about what makes people happy.