Reliability Analysis

Reliability Analysis icon

ASO Keyword Dashboard

Tracking 27 keywords for Reliability Analysis in Apple App Store

Developer: Konstantinos Ladiellis Category: tools

Reliability Analysis tracks 27 keywords (5 keywords rank; 22 need traction). Key metrics: 20% top-10 coverage, opportunity 71.2, difficulty 38.1, best rank 3.

Tracked keywords

27

5  ranked •  22  not ranking yet

Top 10 coverage

20%

Best rank 3 • Latest leader —

Avg opportunity

71.2

Top keyword: currently

Avg difficulty

38.1

Lower scores indicate easier wins

Opportunity leaders

  • currently

    Opportunity: 73.0 • Difficulty: 45.8 • Rank —

    Competitors: 113

    66.3
  • usage

    Opportunity: 73.0 • Difficulty: 41.5 • Rank —

    Competitors: 141

    66.4
  • model

    Opportunity: 73.0 • Difficulty: 40.5 • Rank —

    Competitors: 109

    65.5
  • input

    Opportunity: 73.0 • Difficulty: 41.2 • Rank —

    Competitors: 83

    68.0
  • testing

    Opportunity: 73.0 • Difficulty: 40.5 • Rank —

    Competitors: 80

    63.1

Unranked opportunities

  • currently

    Opportunity: 73.0 • Difficulty: 45.8 • Competitors: 113

  • usage

    Opportunity: 73.0 • Difficulty: 41.5 • Competitors: 141

  • model

    Opportunity: 73.0 • Difficulty: 40.5 • Competitors: 109

  • input

    Opportunity: 73.0 • Difficulty: 41.2 • Competitors: 83

  • testing

    Opportunity: 73.0 • Difficulty: 40.5 • Competitors: 80

High competition keywords

  • used

    Total apps: 50,553 • Major competitors: 504

    Latest rank: — • Difficulty: 48.6

  • future

    Total apps: 35,190 • Major competitors: 432

    Latest rank: — • Difficulty: 47.1

  • results

    Total apps: 21,446 • Major competitors: 221

    Latest rank: — • Difficulty: 44.0

  • reliable

    Total apps: 20,653 • Major competitors: 208

    Latest rank: 21 • Difficulty: 45.6

  • takes

    Total apps: 18,097 • Major competitors: 399

    Latest rank: — • Difficulty: 44.7

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

Major Competitors
reliability711003354

1,820 competing apps

Median installs: 400

Avg rating: 4.1

33

18

major competitor apps

reliable711004672

20,653 competing apps

Median installs: 350

Avg rating: 4.1

2119

208

major competitor apps

parameters721003660

3,824 competing apps

Median installs: 350

Avg rating: 3.9

4040

20

major competitor apps

failure701003349

943 competing apps

Median installs: 389

Avg rating: 4.0

5958

19

major competitor apps

parameter701003151

1,163 competing apps

Median installs: 446

Avg rating: 3.8

6565

3

major competitor apps

used691004978

50,553 competing apps

Median installs: 350

Avg rating: 4.0

504

major competitor apps

fit721004571

17,641 competing apps

Median installs: 550

Avg rating: 4.2

342

major competitor apps

calculation721003862

5,171 competing apps

Median installs: 300

Avg rating: 4.0

31

major competitor apps

future701004776

35,190 competing apps

Median installs: 550

Avg rating: 4.2

432

major competitor apps

methodology691003847

682 competing apps

Median installs: 350

Avg rating: 4.1

5

major competitor apps

currently731004666

9,696 competing apps

Median installs: 500

Avg rating: 4.1

113

major competitor apps

usage731004166

9,838 competing apps

Median installs: 550

Avg rating: 4.0

141

major competitor apps

model731004066

8,720 competing apps

Median installs: 400

Avg rating: 4.0

109

major competitor apps

calculates721003558

3,108 competing apps

Median installs: 300

Avg rating: 4.0

25

major competitor apps

distribution721003658

3,177 competing apps

Median installs: 250

Avg rating: 4.0

15

major competitor apps

results711004472

21,446 competing apps

Median installs: 400

Avg rating: 4.1

221

major competitor apps

takes721004571

18,097 competing apps

Median installs: 550

Avg rating: 4.1

399

major competitor apps

rank721003758

3,230 competing apps

Median installs: 700

Avg rating: 4.1

64

major competitor apps

input731004168

12,324 competing apps

Median installs: 400

Avg rating: 4.0

83

major competitor apps

testing731004063

6,241 competing apps

Median installs: 350

Avg rating: 3.9

80

major competitor apps

campaign711003756

2,213 competing apps

Median installs: 950

Avg rating: 4.1

58

major competitor apps

metrics721003558

3,232 competing apps

Median installs: 300

Avg rating: 4.3

27

major competitor apps

consider721003658

2,924 competing apps

Median installs: 600

Avg rating: 4.1

49

major competitor apps

linear701003152

1,321 competing apps

Median installs: 550

Avg rating: 4.1

9

major competitor apps

produces701003050

1,025 competing apps

Median installs: 400

Avg rating: 4.0

10

major competitor apps

27 keywords
1 of 2

App Description

Weibull 2-parameter reliability analysis. The application takes as input the results of a reliability testing campaign (failures & usage metrics e.g. hours, Km, etc) and calculates the Weibull distribution parameters which fit the failures. This produces the model for reliability calculation versus time. The methodology used is Linear Rank Regression. Currently the application doesn't consider suspensions during testing. This will be accommodated in future release.