BAYANATAI.COM: Keyword Density Checker

Total words: 2599 | 2-word phrases: 681 | 3-word phrases: 747 | 4-word phrases: 776

PAGE INFO

Title	Try to keep the title under 60 characters (7 characters) Bayanat
Description	Try to keep the meta description between 50 - 160 characters (0 characters)
Keywords	Meta keywords are not recommended anymore (0 characters)
H1	H1 tag on the page (9 characters) Our Works

#	Keyword	Frequency	Density
1	and gain a	4	0.54%
2	better strategic decisions	4	0.54%
3	strategic decisions and	4	0.54%
4	decisions and gain	4	0.54%
5	gain a competitive	4	0.54%
6	a competitive edge	4	0.54%
7	reduction in lost	4	0.54%
8	prediction models for	3	0.40%
9	real time ppe	3	0.40%
10	facial expressions detection	3	0.40%
11	and machine learning	3	0.40%
12	ai and machine	3	0.40%
13	in lost sales	3	0.40%
14	natural language processing	3	0.40%
15	detection we deliver	3	0.40%
16	detection play video	3	0.40%
17	industries solutions our	3	0.40%
18	solutions prediction models	3	0.40%
19	20 reduction in	2	0.27%
20	error and a	2	0.27%
21	reduction in forecast	2	0.27%
22	to 40 20	2	0.27%
23	10 to 40	2	0.27%
24	daily lives facial	2	0.27%
25	our daily lives	2	0.27%
26	40 20 reduction	2	0.27%
27	sales 13 increase	2	0.27%
28	and a 30	2	0.27%
29	a 30 reduction	2	0.27%
30	we do in	2	0.27%

#	Keyword	Frequency	Density
1	gain a competitive edge	4	0.52%
2	and gain a competitive	4	0.52%
3	better strategic decisions and	4	0.52%
4	strategic decisions and gain	4	0.52%
5	decisions and gain a	4	0.52%
6	ai and machine learning	3	0.39%
7	reduction in lost sales	3	0.39%
8	to customize their relationships	2	0.26%
9	…etc to customize their	2	0.26%
10	enable companies banks retailers	2	0.26%
11	in lost sales due	2	0.26%
12	customize their relationships with	2	0.26%
13	their relationships with the	2	0.26%
14	relationships with the customers	2	0.26%
15	with the customers as	2	0.26%
16	to enable companies banks	2	0.26%
17	models to enable companies	2	0.26%
18	65 reduction in lost	2	0.26%
19	then assign a set	2	0.26%
20	lost sales due to	2	0.26%
21	segmentation models to enable	2	0.26%
22	customers segmentation models to	2	0.26%
23	the customers as we	2	0.26%
24	content customers segmentation we	2	0.26%
25	its content customers segmentation	2	0.26%
26	on its content customers	2	0.26%
27	based on its content	2	0.26%
28	categories based on its	2	0.26%
29	which helping to make	2	0.26%
30	set of predefined tags	2	0.26%
31	a set of predefined	2	0.26%
32	assign a set of	2	0.26%
33	customers segmentation we implement	2	0.26%
34	our daily lives facial	2	0.26%
35	customers as we do	2	0.26%
36	state which helps companies	2	0.26%
37	flipkart etc to analyse	2	0.26%
38	connection with their clients	2	0.26%
39	allow activating the emotional	2	0.26%
40	that allow activating the	2	0.26%

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