Topic
Firmographic data
Industry, size, location and ownership: the attributes that describe a company.
- 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.
- 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.
- Building account-based marketing segments from company signalsA segment is a rule that names accounts and says why they are on the list. Here are recipes that combine fit with timing, the tables behind each and how to keep them current.
- Catching companies as they enter a new marketA new market shows up in a company's site, its job board and its newsroom, each at its own moment. Here is how to join them into one dated timeline per country.
- 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.
- Monitoring supplier and vendor risk with public company signalsPublic signals tell a procurement team where to look in a supplier list. Here is how to read announcements, hiring and site changes, and how to turn them into a review queue.
- 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.
- Territory planning with firmographic and hiring dataEqual account counts hide unequal opportunity. How to weight accounts by fit and hiring momentum, balance territories on that weight and check each cell against Market Series.
- Company-level data and identity platforms: where each fitsAn identity platform resolves people and a company-level feed describes organisations. Match the job to the unit first, then join the two at the account.
- 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.
- Clearbit alternatives after the move to HubSpotClearbit is part of HubSpot, and HubSpot documents data enrichment inside its own CRM. For teams whose records live elsewhere, here are the options and a worked design.
- Coresignal alternatives for company and jobs dataCoresignal is built around company, employee and jobs records from the public web. What each product is built for, the sources that fit each part of a workload, and the company and jobs parts mapped dataset by dataset.
- Crunchbase alternatives for company data licensingCrunchbase records who funded a private company, round by round. Here is what it licenses, which databases cover the same ground, and the job that dated company signals do beside a funding database.
- Dun & Bradstreet alternatives for company signalsD&B holds registry, credit and D-U-N-S data. Fokals delivers dated signals of what a company did. A fair map of each, the sources that fit each need, and a worked join from D&B-keyed accounts to those signals.
- People Data Labs alternatives for company dataPeople Data Labs documents a person dataset beside its company dataset. Fokals is company-level data throughout. A fair map of the two as documented, a move dataset by dataset, and the sources that fit each need.
- Veridion alternatives for web-sourced company dataVeridion and Fokals both collect company data from public web sources, for different sets of companies and in different shapes. A fair map of each, the neighbouring sources, and a test to run on your own records.
- 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.
- Corporate hierarchyA corporate hierarchy is the ownership structure of a company group. This entry covers parents, subsidiaries and brands, how to roll data up, and how Fokals links brands to listed parents.
- Data coverageData coverage is how many of the companies you track a dataset contains and how fully each record is filled in. How to measure it on your own list, and how Fokals states coverage dataset by dataset.
- Firmographic dataThe attributes that describe a company: industry, size, location, ownership and growth stage. How teams use them to segment a market, and what to check in a source.
- Traffic rankA traffic rank orders websites by how much traffic they receive. How rank buckets work, what a rank can and cannot say about a company, and the monthly traffic tier in Fokals data.