Topic
Technographic data
The technologies a company runs, and when each was adopted or dropped.
- Firmographic, technographic, hiring and intent data: how they fitFirmographic data says who a company is, technographic what it runs, hiring where it invests and intent what it is likely to buy. How the four differ, and how one key joins them.
- How we detect the technologies on a company websiteWhat stands behind a row of technographic data: the evidence a detection rests on, how a technology is dated, and how an adoption, a confirmed removal and a platform migration are recorded.
- Introducing Fokals: company intelligence data, refreshed dailyFokals supplies firmographic, technographic, hiring and intent data on public and private companies worldwide. What the five datasets deliver, how they reach you and how they are licensed.
- Adding technographic filters to a prospecting toolA technology filter is a set of definitions before it is a dropdown. What "runs it now", "first seen" and "recently added" should mean, and the datasets and indexes that serve them.
- Building company change alerts into your productAn alert is a dated event shown to someone who follows a company. This guide covers the tables to read, the schema to store, how to dedupe and what each message may say.
- Building thematic baskets from technology adoption dataA basket of adopters is only as good as its membership rule. Here is how to build one from website technology data, rebalance on dated events and test it.
- Defining an ideal customer profile from dataDescribing your customers is not enough: a profile has to show what separates them from the market. Here is how to enrich won accounts, measure lift and test the result.
- Detecting go-to-market changes from pricing and key pagesThe key pages of a company website show how it sells. Here is how to turn changes to them, and to its markets and currencies, into a dated watch.
- Finding accounts by the technology they runThree list patterns on the marketing stack datasets, what account ids add to them, and the checks that keep a technology list from sending a rep to the wrong company.
- Mapping a partner ecosystem from technology co-occurrenceCo-occurrence on company websites shows whose audience overlaps yours. A worked method with the datasets, the lift measure and the checks that separate partners from rivals.
- Measuring AI adoption across listed companiesNo single public signal measures AI adoption. Here is how to read three of them from company data, combine them into a score you can audit and avoid keyword traps.
- Measuring an installed base and its weekly movementPrevalence per 100 websites, adds, removals and net change for any recognised technology, with the checks that keep coverage growth out of the result.
- Personalising campaigns by technology stack and growth stageKey campaign variants on what an account runs, how fast it is hiring and what it announced last week. A rule set, a query and the guardrails that keep copy accurate.
- Reading technology adoption as a signal of vendor revenueFor a vendor whose product shows on its customers' websites, installs and net adds are a dated proxy for customer growth. Here are the measure, the query and how to read it.
- Running competitor displacement plays from technology changesA rival tool leaving a company website is a dated, public change. How to read added and removed events, tell a swap from a flicker, and measure whether the plays work.
- Sizing a total addressable market with technographic countsCount the companies that run a technology, state how many of your list the data can see, and multiply by your own price. A worked method with its traps.
- Spotting churn risk when a customer removes your technologyWhen a customer's website stops loading your tag, the record is dated and public. Here is how to turn removals and competitor additions into a churn alert you can test.
- Firmographic vs technographic dataWho a company is and what it runs are different facts from different sources. A field-by-field comparison, a segment built on both, and how to read each kind correctly.
- Technographic data vs intent dataFit and timing are separate questions. What technographic and intent data each record, the change in a stack that links them, and how to combine both in one account list.
- BuiltWith alternatives for technographic dataBuiltWith indexes the web for the technologies sites run. If your question is about identified companies, dated changes and what else those companies do, here are the alternatives.
- HG Insights alternatives for technology intelligenceHG Insights reports the technology companies run beyond what a website shows, with spend and intent data. Here is what it is built for and where a dated, company-level feed fits.
- PredictLeads alternatives for company signalsThe two are close in kind. What each is built for, where the methods differ enough to change your numbers, and how one account alert is built on each feed.
- TheirStack alternatives for jobs and technographic dataTechnographic data comes from job postings or from websites, and the two see different tools. What TheirStack documents, where Fokals fits, and how to check one method against the other.
- Wappalyzer alternatives for technology detection dataWappalyzer identifies website technologies on demand, with lead lists and alerts. If you need detection as a dated dataset to build on, here is how the alternatives compare.
- ZoomInfo alternatives for company-level dataZoomInfo pairs a contact database with sales and marketing applications. If you need company-level data as a feed for your own warehouse, model or product, here is how the alternatives compare.
- Installed baseAn installed base is the set of customers using a product today. How to estimate it from outside with technology detection, follow its movement week by week and read the count honestly.
- Tag managerA tag manager lets a site owner change scripts from one interface. This entry explains how containers work and why reading them gives a complete view of a site's technologies.
- Technographic dataThe analytics, advertising, commerce and CRM tools a company runs, found by matching signatures in public code. How detection works and how to read it.
- Technology churnTechnology churn is the share of companies that stop using a technology in a period. How to calculate it, read removals from outside without false alarms, and spot a switch.