IN THIS ARTICLE
What is this tab for?
The Companies tab can be a strategic tool for defining the specific company types most likely to become your best customers, which could lead to better results from your cold outreach campaigns. In this tab, you can identify high-potential companies before reaching out to individual contacts. Filter, segment, and analyze the organizations that best fit your ICP, then find the right people within them.
By getting such results, it allows you to build more personalized content for them based on all the information that can be found.
How to use it in Woodpecker?
The Companies tab can be found under the Lead Finder tab -> Companies tab. You can either use ready-to-use prompts that, when clicked, automatically select specific filters in the left bar or set filters manually from scratch. Both options let you fully customize the search interface.
There’s also an option to write the prompt yourself, which automatically generates filters and runs a preview of the data:
Setting up filters
In the filters section, you get to choose:
Similar domains
Ideal company profile text,
Company profile: what industry, employee count range, country, state, tech stack, and keywords
Digital presence: site language, social media, the date since they are online, subdomains, and digital footprint score.
In the Query section, you can select:
to include search domains, which return the input domains along with the discovery matches,
to exclude suspected profiles from the search – it will filter out low-score profiles that also lack phone, email, and social media presence.
Once everything is set, you can choose how you’d like to search for the data – either by the “Preview” or by the “Full data” buttons. If you choose the “Preview” option, you are limited to only 10 records. With the “Full data” option, you can choose up to 10,000 records.
By using the “Preview” option, you can check if the results satisfy you before committing to the “Full data” option, and thus spending more credits on more results. In case you’re not happy with the sample 10 records, you can tweak the filters to get more accurate results and preview them until they fit your needs perfectly.
Each record (one company) uses 0.1 credit. If no filters are changed and you click on the “Preview” button again by mistake, no credits will be used again in such a case.
Every query, after being displayed, will also be automatically saved under “Saved Queries”, so you can easily go back and load them again, as well as delete them there. Each query is saved on the device, so if you switch devices, you’ll lose those queries.
Here’s a rundown of some of the filters that can be set up:
Similar domains – here you can enter the domains of companies you want to find that are most similar.
Ideal company profile text – you can describe your ideal customers in plain language; if you’re not sure how to describe them, you can leave this field empty.
Tech stack – filter companies by the technologies they use. Enter vendor domains (e.g., shopify.com, stripe.com) to find companies using those tools. You can even input tools like Woodpecker, Pipedrive, Clay, Persana, Hubspot, or Zapier.
Keywords – filter companies based on topics, products, or services they mention on their websites.
Online since and date – here, specify the date the domain was registered (not to be confused with the date the company was founded).
Subdomains – here you can filter companies based on their subdomains, like careers, blog, docs, etc.
Digital footprint score – this measures the company’s online visibility, reputation, and security risk based on data trails from social media, public records, and internet activity. Choose the minimum and maximum scores by which you want to search for such companies. The maximum score is 800.
If a company’s website doesn’t clearly describe what it does or what type of business it is, it will be harder to find them. The more detailed the information at the source, the easier it is to find it with tools like this one.
Companies results
In the results, you’ll see columns related to the filters chosen earlier.
If you click on the “Industry groups” column, you'll see to what extent a given company falls into a particular category. The maximum score for a given category is 1.
For example, if a company is clearly identified as in the healthcare sector, its score in that category will be 1. If its activities span multiple sectors, the score will be lower and often shared with another category.
The “Score” column indicates company activity and reliability based on domain data. A higher score means a more consistent history, growth, and ongoing activity. There’s no maximum value for this index.
Next to the “Status” column, indicating whether the website/company is active, you’ll also see the “Status confidence,” which indicates how confident this status is (1 = 100% confidence).
Finding leads from results
Once you’re satisfied with the results, you can choose to find more information from them, i.e., finding leads from the company.
Select the companies you’re interested in, and click on the “Find leads” button at the top right of the table. You’ll then be transferred to the “Leads” tab, where you can specify filters for such leads.
For more details on searching for leads in the Lead Finder, you can check the article here ≫
Credits
With every Woodpecker subscription, you get a certain number of free credits. For trial accounts, it’s 50 credits, and the lowest Woodpecker paid plan gives you 100 free credits. You can buy more anytime you need to.
Each action performed in the Companies and Leads tab is charged accordingly:
Previewing 10 companies costs 6 credits:
Request to our company database costs 5 credits – every click on the “Preview” or “Full data” button will use up the credits, except if no filters were changed in the meantime.
Finding one company costs 0.1 credits
For example, if you choose the Preview option after setting up filters, that alone costs 5 Lead Finder credits. The Preview will give you a maximum of 10 records – each record represents finding one company, which costs 0.1 credits.
So in the end, that full process will cost you 5 + 0.1*10 = 6 credits.
Apart from the above, the rest is charged as described here:
Viewing a lead in the Leads tab costs 1 credit
Finding an email in the Leads tab costs 1,5 credits
Enriching data from the Prospects tab costs 1,5 credits

