DATAFOLD.COM: Keyword Density Checker

Total words: 4184 | 2-word phrases: 1097 | 3-word phrases: 1248 | 4-word phrases: 1308

PAGE INFO

Title	Try to keep the title under 60 characters (47 characters) Datafold - Automated testing for data engineers
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 (34 characters) Automatedtesting fordata engineers

#	Keyword	Frequency	Density
1	request a demo	12	0.96%
2	read their story	4	0.32%
3	read more →	4	0.32%
4	data quality is	3	0.24%
5	data quality meetup	3	0.24%
6	data quality guide	3	0.24%
7	a demo read	3	0.24%
8	demo read their	3	0.24%
9	learn best practices	3	0.24%
10	best practices for	2	0.16%
11	equivalent features for	2	0.16%
12	and easily detect	2	0.16%
13	takes to implement	2	0.16%
14	to implement equivalent	2	0.16%
15	implement equivalent features	2	0.16%
16	using data diff	2	0.16%
17	databases using data	2	0.16%
18	features for dbt	2	0.16%
19	what it takes	2	0.16%
20	new transformations or	2	0.16%
21	and new transformations	2	0.16%
22	legacy and new	2	0.16%
23	between legacy and	2	0.16%
24	parity between legacy	2	0.16%
25	identify parity between	2	0.16%
26	quickly identify parity	2	0.16%
27	it takes to	2	0.16%
28	learn what it	2	0.16%
29	february 21 2023	2	0.16%
30	with datafolds data	2	0.16%

#	Keyword	Frequency	Density
1	request a demo read	3	0.23%
2	a demo read their	3	0.23%
3	of expert data engineers	2	0.15%
4	tests in your organization	2	0.15%
5	best practices learn best	2	0.15%
6	practices learn best practices	2	0.15%
7	learn best practices for	2	0.15%
8	practices for how to	2	0.15%
9	for how to write	2	0.15%
10	how to write and	2	0.15%
11	manage dbt tests in	2	0.15%
12	easily detect shifts in	2	0.15%
13	and easily detect shifts	2	0.15%
14	dbt tests in your	2	0.15%
15	between staging and production	2	0.15%
16	to specific rows and	2	0.15%
17	dbt testing best practices	2	0.15%
18	values between staging and	2	0.15%
19	changes to specific rows	2	0.15%
20	audit changes to specific	2	0.15%
21	easily audit changes to	2	0.15%
22	in your organization may	2	0.15%
23	your organization may 7	2	0.15%
24	organization may 7 2024	2	0.15%
25	may 7 2024 datafold	2	0.15%
26	7 2024 datafold is	2	0.15%
27	testing best practices learn	2	0.15%
28	testing on our blog	2	0.15%
29	on our blog 7	2	0.15%
30	databases using data diff	2	0.15%
31	should be with datafolds	2	0.15%
32	it should be with	2	0.15%
33	as it should be	2	0.15%
34	is as it should	2	0.15%
35	google big query logo	2	0.15%
36	logo google big query	2	0.15%
37	data is as it	2	0.15%
38	lee director product analytics	2	0.15%
39	getting activated via hightouch ross sevren director	2	0.15%
40	ross sevren director of	2	0.15%

#	URL	Whois	Check
1	https://www.linkedin.com/company/datafold/	Whois	linkedin.com
2	https://twitter.com/datafoldcom	Whois	twitter.com
3	https://www.facebook.com/datafoldcom/	Whois	facebook.com
4	https://www.youtube.com/channel/UC15Z6V2gjWJEs8agabAytuA/about	Whois	youtube.com
5	https://calendly.com/graham-datafold/book-a-demo	Whois	calendly.com
6	https://calendly.com/graham-datafold/book-a-demo	Whois	calendly.com
7	https://calendly.com/graham-datafold/book-a-demo	Whois	calendly.com
8	https://calendly.com/graham-datafold/book-a-demo	Whois	calendly.com
9	https://calendly.com/graham-datafold/book-a-demo	Whois	calendly.com
10	https://calendly.com/graham-datafold/book-a-demo	Whois	calendly.com
11	https://calendly.com/graham-datafold/book-a-demo	Whois	calendly.com
12	https://calendly.com/graham-datafold/book-a-demo	Whois	calendly.com
13	https://calendly.com/graham-datafold/book-a-demo	Whois	calendly.com