Main

type

5 (blog/news article)

status

21 (imported old-v2, waiting for another import)

review version

0

cleanup version

0

pending deletion

0 (-)

created at

2025-12-26 11:25:20

updated at

2025-12-26 11:25:20

Address

url

https://www.infobelpro.com/en/blog/what-is-technographic-segmentation

url length

69

url crc

22921

url crc32

2028165513

location type

1 (url matches target location, page_location is empty)

canonical status

10 (verified canonical url)

canonical page id

3221686764

Source

domain id

85408677

domain tld

2211

domain parts

2

originating warc id

-

originating url

https://data.commoncrawl.org/crawl-data/CC-MAIN-2025-33/segments/1754151279750.4/warc/CC-MAIN-20250803230942-20250804020942-00986.warc.gz

source type

11 (CommonCrawl)

Server response

server ip

199.60.103.228

Publication date

2025-08-03 23:40:21

Fetch attempts

0

Original html size

136058

Normalized and saved size

118713

Content

title

What Is Technographic Segmentation and How Does It Work?

excerpt

content

Technographic Segmentation - what is it? Technographic segmentation is the process of grouping companies based on the technologies they use, such as CRMs, marketing automation tools, cloud infrastructure, payment systems, cybersecurity software, or content management systems. Unlike firmographic segmentation, which classifies companies by size, revenue, or industry, technographic segmentation tells you how a business operates behind the scenes and what tools it uses to drive efficiency and growth.It answers a critical question for sales, marketing, and RevOps teams: What’s in their stack, and how does that influence what they need next?At its core, technographic segmentation enables go-to-market (GTM) teams to organize and prioritize target accounts by their technology environment. This is particularly powerful in B2B industries where a product’s value often depends on what systems a ...

author

Tiago Vitorio

updated

2026-01-04 16:45:35

Text analysis

block type

0

extracted fields

239

extracted bits

featured image
image author
article author
title
full content
content was extracted heuristically
OpenGraph suggests this is an article

detected location

0

detected language

1 (English)

category id

SEC and Crypto [en] (228)

index version

2025123101

paywall score

0

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

13706

text words

2363

text unique words

815

text lines

1

text sentences

105

text paragraphs

1

text words per sentence

22

text matched phrases

2

text matched dictionaries

3