Line-Fit

Developer: Bjarne Berge

Category: Productivity

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~150 - 300

3.00 ratings

ASO Keyword Dashboard

Tracking 40 keywords for Line-Fit in Apple App Store

Developer: Bjarne Berge Category: productivity Rating: 3.67

Line-Fit tracks 40 keywords (1 keyword ranks; 39 need traction). Key metrics: 0% top-10 coverage, opportunity 70.5, difficulty 36.2, best rank 27.

Tracked keywords

1 ranked • 39 not ranking yet

Top 10 coverage

Best rank 27 • Latest leader —

Avg opportunity

70.5

Top keyword: higher

Avg difficulty

36.2

Lower scores indicate easier wins

Opportunity leaders

higher

Opportunity: 73.0 • Difficulty: 40.7 • Rank —

Competitors: 119
67.5
positive

Opportunity: 73.0 • Difficulty: 40.0 • Rank —

Competitors: 52
66.4
model

Opportunity: 73.0 • Difficulty: 39.4 • Rank —

Competitors: 57
65.3
measure

Opportunity: 73.0 • Difficulty: 39.4 • Rank —

Competitors: 46
65.4
strength

Opportunity: 73.0 • Difficulty: 39.2 • Rank —

Competitors: 55
65.0

Unranked opportunities

higher

Opportunity: 73.0 • Difficulty: 40.7 • Competitors: 119
positive

Opportunity: 73.0 • Difficulty: 40.0 • Competitors: 52
model

Opportunity: 73.0 • Difficulty: 39.4 • Competitors: 57
measure

Opportunity: 73.0 • Difficulty: 39.4 • Competitors: 46
strength

Opportunity: 73.0 • Difficulty: 39.2 • Competitors: 55

High competition keywords

perfect

Total apps: 86,571 • Major competitors: 872

Latest rank: — • Difficulty: 49.9
data

Total apps: 85,849 • Major competitors: 496

Latest rank: — • Difficulty: 49.8
always

Total apps: 53,223 • Major competitors: 574

Latest rank: — • Difficulty: 47.9
better

Total apps: 41,931 • Major competitors: 404

Latest rank: — • Difficulty: 46.8
two

Total apps: 31,677 • Major competitors: 222

Latest rank: — • Difficulty: 45.4

All tracked keywords

Includes opportunity, difficulty, rankings and competitor benchmarks

							Major Competitors
least	70	100	46	75 30,848 competing apps Median installs: 225 Avg rating: 4.2	28	27	518 major competitor apps
better	69	100	47	77 41,931 competing apps Median installs: 50 Avg rating: 4.2	—	—	404 major competitor apps
perfect	67	100	50	83 86,571 competing apps Median installs: 50 Avg rating: 4.2	—	—	872 major competitor apps
always	68	100	48	79 53,223 competing apps Median installs: 50 Avg rating: 4.2	—	—	574 major competitor apps
fit	72	100	43	70 15,929 competing apps Median installs: 75 Avg rating: 4.3	—	—	194 major competitor apps
higher	73	100	41	67 10,732 competing apps Median installs: 75 Avg rating: 4.1	—	—	119 major competitor apps
two	70	100	45	75 31,677 competing apps Median installs: 75 Avg rating: 4.1	—	—	222 major competitor apps
data	67	100	50	83 85,849 competing apps Median installs: 50 Avg rating: 4.1	—	—	496 major competitor apps
positive	73	100	40	66 9,272 competing apps Median installs: 50 Avg rating: 4.3	—	—	52 major competitor apps
form	72	100	42	70 15,439 competing apps Median installs: 50 Avg rating: 4.2	—	—	134 major competitor apps
model	73	100	39	65 7,961 competing apps Median installs: 50 Avg rating: 4.0	—	—	57 major competitor apps
measure	73	100	39	65 8,037 competing apps Median installs: 50 Avg rating: 4.0	—	—	46 major competitor apps
strength	73	100	39	65 7,621 competing apps Median installs: 75 Avg rating: 4.3	—	—	55 major competitor apps
relationship	73	100	39	64 6,737 competing apps Median installs: 50 Avg rating: 4.3	—	—	40 major competitor apps
line	72	100	43	71 17,904 competing apps Median installs: 50 Avg rating: 4.1	—	—	198 major competitor apps
response	72	100	37	62 4,778 competing apps Median installs: 50 Avg rating: 4.1	—	—	23 major competitor apps
values	73	100	39	64 7,073 competing apps Median installs: 50 Avg rating: 4.1	—	—	26 major competitor apps
close	73	100	41	68 11,015 competing apps Median installs: 50 Avg rating: 4.2	—	—	103 major competitor apps
value	72	100	43	71 16,969 competing apps Median installs: 25 Avg rating: 4.2	—	—	98 major competitor apps
slope	69	100	28	45 497 competing apps Median installs: 50 Avg rating: 4.2	—	—	3 major competitor apps
variables	69	100	28	46 547 competing apps Median installs: 50 Avg rating: 4.2	—	—	2 major competitor apps
association	72	100	37	60 4,081 competing apps Avg rating: 4.1	—	—	16 major competitor apps
indicate	71	100	32	54 1,652 competing apps Median installs: 50 Avg rating: 4.0	—	—	7 major competitor apps
uses	71	100	44	73 22,047 competing apps Median installs: 50 Avg rating: 4.1	—	—	136 major competitor apps
coefficient	67	100	21	35 127 competing apps Median installs: 25 Avg rating: 3.9	—	—	1 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.