Line-Fit

Developer: Bjarne Berge

Category: Productivity

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150 installs

3.00 ratings

13 monthly active users

Revenue not available

ASO Keyword Dashboard

Tracking 42 keywords for Line-Fit in Apple App Store

Developer: Bjarne Berge Category: productivity Rating: 3.67

Line-Fit tracks 42 keywords (4 keywords rank; 38 need traction). Key metrics: 0% top-10 coverage, opportunity 70.5, difficulty 37.7, best rank 26.

Tracked keywords

4 ranked • 38 not ranking yet

Top 10 coverage

Best rank 26 • Latest leader 82

Avg opportunity

70.5

Top keyword: straight

Avg difficulty

37.7

Lower scores indicate easier wins

Opportunity leaders

straight

Opportunity: 73.0 • Difficulty: 45.5 • Rank 82

Competitors: 241
67.2
higher

Opportunity: 73.0 • Difficulty: 42.0 • Rank —

Competitors: 207
67.4
positive

Opportunity: 73.0 • Difficulty: 40.9 • Rank —

Competitors: 116
66.4
model

Opportunity: 73.0 • Difficulty: 40.5 • Rank —

Competitors: 108
65.3
measure

Opportunity: 73.0 • Difficulty: 39.9 • Rank —

Competitors: 86
65.4

Unranked opportunities

higher

Opportunity: 73.0 • Difficulty: 42.0 • Competitors: 207
positive

Opportunity: 73.0 • Difficulty: 40.9 • Competitors: 116
model

Opportunity: 73.0 • Difficulty: 40.5 • Competitors: 108
measure

Opportunity: 73.0 • Difficulty: 39.9 • Competitors: 86
strength

Opportunity: 73.0 • Difficulty: 40.1 • Competitors: 108

High competition keywords

perfect

Total apps: 87,834 • Major competitors: 1,603

Latest rank: — • Difficulty: 52.1
data

Total apps: 86,751 • Major competitors: 1,000

Latest rank: — • Difficulty: 51.5
always

Total apps: 52,770 • Major competitors: 1,018

Latest rank: — • Difficulty: 50.3
better

Total apps: 41,612 • Major competitors: 716

Latest rank: — • Difficulty: 48.7
two

Total apps: 31,491 • Major competitors: 432

Latest rank: — • Difficulty: 46.5

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
least	70	100	49	75 30,437 competing apps Median installs: 1,400 Avg rating: 4.2	36	26	945 major competitor apps
linear	70	100	31	52 1,228 competing apps Median installs: 550 Avg rating: 4.1	50	50	9 major competitor apps
curve	71	100	40	54 1,783 competing apps Median installs: 450 Avg rating: 4.1	76	60	20 major competitor apps
straight	73	100	46	67 10,326 competing apps Median installs: 700 Avg rating: 4.2	82	75	241 major competitor apps
better	69	100	49	77 41,612 competing apps Median installs: 500 Avg rating: 4.2	—	—	716 major competitor apps
perfect	67	100	52	83 87,834 competing apps Median installs: 600 Avg rating: 4.2	—	—	1,603 major competitor apps
always	68	100	50	79 52,770 competing apps Median installs: 550 Avg rating: 4.1	—	—	1,018 major competitor apps
fit	72	100	45	70 16,105 competing apps Median installs: 600 Avg rating: 4.3	—	—	339 major competitor apps
higher	73	100	42	67 10,678 competing apps Median installs: 500 Avg rating: 4.1	—	—	207 major competitor apps
two	70	100	47	75 31,491 competing apps Median installs: 500 Avg rating: 4.1	—	—	432 major competitor apps
data	67	100	51	83 86,751 competing apps Median installs: 400 Avg rating: 4.1	—	—	1,000 major competitor apps
positive	73	100	41	66 9,332 competing apps Median installs: 450 Avg rating: 4.3	—	—	116 major competitor apps
form	72	100	44	70 15,533 competing apps Median installs: 500 Avg rating: 4.1	—	—	241 major competitor apps
model	73	100	40	65 8,019 competing apps Median installs: 450 Avg rating: 4.0	—	—	108 major competitor apps
measure	73	100	40	65 8,113 competing apps Median installs: 400 Avg rating: 4.0	—	—	86 major competitor apps
strength	73	100	40	65 7,719 competing apps Median installs: 648 Avg rating: 4.3	—	—	108 major competitor apps
relationship	73	100	39	64 6,807 competing apps Median installs: 450 Avg rating: 4.3	—	—	95 major competitor apps
line	72	100	45	71 17,998 competing apps Median installs: 500 Avg rating: 4.1	—	—	335 major competitor apps
response	72	100	38	62 4,826 competing apps Median installs: 350 Avg rating: 4.0	—	—	41 major competitor apps
values	73	100	40	64 7,006 competing apps Median installs: 350 Avg rating: 4.1	—	—	38 major competitor apps
close	73	100	48	68 11,101 competing apps Median installs: 500 Avg rating: 4.1	—	—	186 major competitor apps
value	72	100	44	71 17,172 competing apps Median installs: 450 Avg rating: 4.1	—	—	205 major competitor apps
slope	69	100	30	45 502 competing apps Median installs: 450 Avg rating: 4.2	—	—	8 major competitor apps
variables	69	100	28	46 540 competing apps Median installs: 300 Avg rating: 4.2	—	—	5 major competitor apps
association	72	100	38	60 4,104 competing apps Median installs: 200 Avg rating: 4.0	—	—	25 major competitor apps

App Description

The Line-Fit app uses linear regression to model the relationship between two variables (x and y) by fitting a linear equation to observed data. One variable is considered to be an explanatory (independent) variable, and the other is considered to be a response (dependent) variable.

A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and the intercept is a (the value of y when x = 0).

To measure the association between the two variables the correlation coefficient is used, which is a value between -1 and 1 indicating the strength of the association of the observed data for the two variables.

The coefficient of determination, R2, measures how close the data are to the fitted regression line. In general, higher values of R2 indicate a better fit of the model to the given data. R2 is always positive and equal to 1.0 for a perfect fit.