Simple & clear pricing
for everyone

149 €
per list

49 €/month
5 lists per year*
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*requires yearly plan

99 €
for each additional list
beyond the list package*

*requires List package

If you build a lead list based on people or companies (e.g. event attendees, exhibitors or Linkedin profiles that liked your content) you will be charged 1 credit per record.

If you enrich additional data points in a lead list, e.g. identify the Head of X of a company, or the latest posts of the person, latest Google News of the company or ask the AI agent you will be charged
1-5 credits per data point.

If you observe signals of company and people profiles regularly, e.g. latest posts of the person, latest Google News of the company or ask the AI agent you will be typically charged 1-3 credits per data point.

If you go to an event that has 2.000 people in the networking app you need 2.000 credits to enrich all people/companies.

Let's assume you want to know who of the companies are B2B companies. The easiest way would be to analyze the Linkedin profile description for 1 credit per record – this would be another 2.000 credits.

Let's assume, you want to get validated emails and we'll find 50% – that would be 1.000 credits.

In total you will have consumed 5.000 credits to potentially contact up to 2.000 people via Linkedin or email – obviously it depends a lot on your requirements and your filters.

Let's assume you win 500 new Linkedin followers per month and your Linkedin content gets 1.000 likes & comments per month.

To enrich all those profiles you will consume 1.500 credits.

Let's assume you also want to enrich all people that engage with competitor content, let's say 500 per month – this would be another 500 credits.

In total you will have consumed 2.000 credits to potentially reach out to 2.000 people on Linkedin.

Let's assume you have 500 clients and want to know whether something relevant was published on Google News, whether one of your key stakeholders posts something and whether there was a change to the website (e.g. latest case studies).

If you run the Google News tracking monthly, this will consume 1 credit for all 500 companies.

If you track the Linkedin posts of two key stakeholders bi-weekly this will consume 2 credits per 500 credits and twice per month = 2.000 credits.

If you let the AI agent analyze the website monthly, this will consume 3 credits per 500 companies.

In total you will have consumed 4.000 credits per month.
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