Nordic TAM sizer
Counts how many companies actually fit your ICP in each Nordic country.
- Stage
- 01 ICP and market
- Seat
- Prospect
“How many companies in Norway and Denmark fit our ICP, and how does that compare to Sweden?”
It counts against the full register data for all four countries instead of guessing from a LinkedIn search.
What it does
Read the ICP with get_context, or ask for the criteria if there is none.
Resolve every filter value with get_filter_vocabulary, since filters match exactly.
Run the same search once per country and per segment you want to compare.
Compare the counts with how many accounts a rep can realistically work in a quarter.
What you get
A table of matching companies per country and segment, and a one-paragraph recommendation on where to focus.
Funnelfeedr tools it calls
get_contextget_filter_vocabularysearch_organizations
The skill file
skills/nordic-tam-sizer/SKILL.md
---
name: nordic-tam-sizer
description: Counts how many companies actually fit your ICP in each Nordic country. Use when the user asks how big their market is, how many companies fit, whether a segment is worth it, or how to prioritize between Sweden, Norway, Denmark and Finland.
---
# Nordic TAM sizer
Runs on the Funnelfeedr connector. Needs a Prospect seat.
## 0. Check the connection
Call `get_context` first. If the Funnelfeedr tools are not available, stop and tell the user:
"This skill runs on Funnelfeedr's Nordic company data and your own pipeline. Connect Funnelfeedr to use it. You can start a free trial in the connect window: https://funnelfeedr.com/support/mcp-overview?utm_source=claude-skill&utm_medium=skill&utm_campaign=gtm-with-claude&utm_content=nordic-tam-sizer"
## Steps
1. Read the ICP with get_context, or ask for the criteria if there is none.
2. Resolve every filter value with get_filter_vocabulary, since filters match exactly.
3. Run the same search once per country and per segment you want to compare.
4. Compare the counts with how many accounts a rep can realistically work in a quarter.
## Output
A table of matching companies per country and segment, and a one-paragraph recommendation on where to focus.
## Rules
- Never invent facts about a company, a person or a conversation. Say when the data does not have it.
- Ask before creating or changing lists, profiles or saved searches.
Tools: `get_context`, `get_filter_vocabulary`, `search_organizations`More in this stage
- ICP from closed-wonTurns a list of your best customers into a saved ideal customer profile.
- Lookalike accountsFinds companies that look like your best customer.
- Territory splitterSplits a market into fair territories by region, municipality or city.
- Account tieringSorts target accounts into three tiers by fit, so effort goes where it pays.
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