Technographic intelligence
Stack evidence is the most misused input in account scoring: strong for qualification, weak for timing. This is how to use it honestly.
Last updated · Written by the RevSyt team at Meta-Insyt LLC
What is technographic intelligence?
Technographic intelligence is information about the technology a company already uses. In account scoring it answers one question: does the existing stack make your product an addition, an adjacency or a replacement — and therefore how hard is the sale?
Source reliability
| Source | Tells you | Reliability |
|---|---|---|
| Public site / DNS fingerprints | Customer-facing and marketing tooling | High for what it detects, blind to internal systems |
| Job postings naming tools | Tools in active use by a named team | Good, and usefully dated |
| Vendor case studies and press releases | A confirmed deployment at a point in time | High at publication, decays quickly |
| Public technical documentation and engineering blogs | Architecture and platform choices | High where recent |
| Filings and annual reports | Major platform programmes and transformation spend | Highest, but coarse |
None of these reveal contract value, renewal date or satisfaction. Treating an installed tool as proof of an imminent replacement is inference, not fact — the distinction is covered in verified fact vs AI inference.
Weighting technology fit
In RevSyt's model, technology fit carries 15 of 100 points — enough to separate a credible account from an incompatible one, not enough to promote an account with no other evidence. Migration announcements and platform consolidations are scored as buying triggers rather than as stack facts, because those carry timing. The full weighting is in the RevSyt account scoring framework.
Frequently asked questions
What is technographic intelligence?
Technographic intelligence is information about the technology a company uses — platforms, vendors, infrastructure and tooling — used to judge whether a product is an addition, an adjacency or a replacement for what they already run.
How is technographic data collected?
Common methods include public site and DNS fingerprinting, job postings that name tools, vendor case studies and press releases, public documentation, and disclosures in filings. Each varies in reliability and recency.
How reliable is technographic data?
It is directional. A tool named in a job posting is good evidence that it is in use somewhere in the organisation; it is weak evidence about scale, contract status or renewal timing, none of which are public.
How does RevSyt use technology fit?
Technology fit is one of six scoring dimensions and carries 15 of 100 points. RevSyt looks for public evidence that the current stack makes the product an addition, an adjacency or a credible replacement, and reports when no such evidence exists.