Research brief

What are the primary methods and sources used by B2B SaaS content teams to source numerical claims and data points for long-form articles?

Based on a survey of 200 U.S. consumers generated from demographic-based AI respondents.Sep 23, 2026, 10:10 AMPublic research report

Target audience

Marketing leads and content directors at mid-stage B2B SaaS companies

Age 25-60

Education Bachelor, Master, Doctorate

Personal income 100k-149k, 150k-199k, 200k+

Occupation Management, Arts / Design / Entertainment / Sports / Media

Sample size 200

Completed / Failed 200 / 0

Which method do you primarily rely on to source numerical claims and data points for your long-form B2B SaaS content?

Manually aggregate statistics from public industry reports and whitepapers

69.5%

n=139

Respondents for this option · Drivers

Highest perceived credibility and authority

Lowest resource and budget intensity

Easiest integration into existing content workflows

Best alignment with SEO and search intent

Direct relevance to our specific product value proposition

Extract metrics from internal product usage data and customer analytics

16.5%

n=33

Respondents for this option · Drivers

Direct relevance to our specific product value proposition

Highest perceived credibility and authority

Easiest integration into existing content workflows

Depends on article topic and budget

11.0%

n=22

Respondents for this option · Drivers

Highest perceived credibility and authority

Easiest integration into existing content workflows

Direct relevance to our specific product value proposition

Lowest resource and budget intensity

Best alignment with SEO and search intent

Generate plausible estimates and generalized industry percentages based on experience

1.5%

n=3

Respondents for this option · Drivers

Lowest resource and budget intensity

Commission custom proprietary surveys for major campaigns

1.0%

n=2

Respondents for this option · Drivers

Highest perceived credibility and authority

Rely on keyword optimization without integrating specific numerical data

0.5%

n=1

Respondents for this option · Drivers

Best alignment with SEO and search intent

Manually aggregate statistics from public industry reports and whitepapers audience

Content teams relying on manual data aggregation are disproportionately represented by experienced professionals in the Northeast.

139 / 200 respondents69.5%

This segment is significantly more likely to be based in the Northeast compared to the general population.

The group skews toward an older demographic, with a higher concentration of professionals aged 45-54.

A majority of these content leads hold a bachelor's degree as their primary level of education.

Key differences

Potential risks

Sampling data

Review the respondent-level sample records