Pipeline from Scratch

Outbound playbook · seed-stage AI-native CRM · Nordics, Europe & US

A first pipeline, before day one.

An early-stage AI-native CRM with no outbound playbook yet. So I wrote the first draft: who to go after, why now, what to say and which channels to run, every account sourced from public funding data.

–real accounts, every one sourced
–high-priority (score 80+)
4message angles, 10 written messages
1working lead-magnet tool
01

Target accounts

Seed to Series B companies in the Nordics, the rest of Europe and the US that raised in 2026 and sell to businesses. Each one has a "why now" and a source. I left out companies that build sales tools, since they're closer to competitors or partners than customers.

Company Region Round Why now Angle Score

How I scored this

This is a simple model to decide who gets researched first. It's a starting point to calibrate against real reply rates, not a claim about how the vendor scores accounts.

FactorWhy it mattersPoints
StageSeed and Series A is when founder-led selling turns into a team and the CRM decision gets madeSeed / A 30 · B 22 · Undisclosed 20 · Pre-seed 18
Recency of roundNew money usually comes with new hires and new tools in the next 90 daysSep 25 · Aug 20 · Jun–Jul 14 · earlier 8
Who they sell toTeams selling to startups and SMBs run the high-volume pipelines the product is built forStartups 20 · SMB 18 · Mid-market 16 · Regulated 15 · Enterprise 13
Stated GTM plansThe announcement mentions go-to-market or market expansion+10
RegionHome market first: in-person meetings, events and shared networksNordics & Baltics 15 · Europe 12 · US 10

Sources are public funding announcements and weekly funding round-ups (Tech.eu, TechStartups, ArcticStartup, EU-Startups, Fortune, Vestbee), collected September 2026. I list companies only; no personal names or contact details.

02

Messaging

Four angles, each tied to a signal I can see from the outside. Every proof point used below is one the vendor publishes about its own customers.

Who reads it

Founder / CEO

Seed stage, still selling personally.

Pain: deals live in their head, inbox and a spreadsheet. The first sales hire is coming and nothing is written down.

Lead with: set up the system before the hire, not after.

Head of Sales / first AE

Series A–B, building the team.

Pain: reps spend hours logging calls, the pipeline view is always out of date and the forecast is guesswork.

Lead with: hours back per rep, plus a pipeline that updates itself.

GTM engineer / RevOps

Often the first ops hire.

Pain: gluing 10+ tools together with Zapier and scripts, with no API they enjoy using.

Lead with: API, MCP server and webhooks, so they can build on top of it.

The sequence

  1. Day 1Email

    Signal-led opener: their raise, their market, one line on why it matters now. No attachment, one question.

  2. Day 3LinkedIn

    Connect with no pitch. Engage with their launch or hiring post if there is one.

  3. Day 6Email

    One published customer result that matches their situation (e.g. a shorter sales cycle for long-cycle sellers).

  4. Day 10Call

    A short call from the CRM's built-in dialer. If no answer, leave a 20-second voicemail that references the email.

  5. Day 14Email

    Give something useful: a link to the stack-cost calculator with their numbers roughed in. Then close the loop politely.

What I'd A/B test in week one

03

Channels

The JD says "whatever moves the needle." Here's the mix I'd start with, with my own guess at each channel's share of meetings. I'd rebalance every two weeks based on what actually books.

Outbound

Email, LinkedIn and calls, run from the CRM itself. About 60–80 deeply researched accounts a week at first, grouped by angle so each group can be tested properly.

Target: 4–6 qualified meetings a week by month three.

Warm intros

The company's investors and angels back a lot of Seed–Series B teams. I'd match their public portfolio pages against the ICP each month and ask for double-opt-in intros, a short list at a time. I'd also ask existing customers for referrals once they reach their first clear result.

No names here on purpose; this is a process, not a list.

Channel · inbound lead magnet

What does your GTM stack actually cost?

A free tool the company could put in front of startups: add up your sales tools, onboarding fees and the hours spent on CRM admin. Try it. It works.

Tools in your stack (list prices, billed annually)
Software, per year–
One-time onboarding fees–
CRM admin time, per year–
Total first-year cost–
Tools in the stack–
Same seats on one platform (software only)–

Prices are public list prices checked in September 2026: HubSpot, Salesforce, Attio, Instantly. Tools without public prices can be added manually. The default comparison price of $60 is the published launch price of the AI-native CRM this plan was written for. The default of 5 hours reflects one of the product's published customer results. This is an estimate, not a quote.

Channel · community & events

GTM Builders Nordics

A monthly, practical meetup for the people the product is sold to: founders and first GTM hires at Seed–Series B companies. No pitches on stage, just teardowns of what actually worked.

Format

30–40 people, in Helsinki. Three 10-minute teardowns ("how we booked our first 100 meetings"), then open conversation. Registration on Luma, which the CRM already integrates with, so every attendee lands in the CRM automatically.

First event

"Founder-led to first AE: what broke." Timed around Slush week, when the Nordic startup scene is in town, with a small online version for Stockholm, Copenhagen and Tallinn.

From attendee to pipeline

Within 48 hours, send each attendee a follow-up with one useful takeaway from the talks. Offer a demo only to ICP-fit teams. Speakers become advocates and later case studies.

First invite list, from my target accounts:

Targets for the first 90 days: 3 events, 100 ICP-fit attendees, 15 meetings.

04

Market pulse

The JD asks for market feedback to go straight to the product. Here's what the research above suggests, with what each point means for sales and for product.

What I haven't done yet: customer conversations

Everything above comes from public data. The next step is five 20-minute interviews with founders or first sales hires from the target list, introduced honestly as independent research, not as the vendor. The questions:

  1. Where does your pipeline live today, and what made you pick it?
  2. What was the moment your current setup started to hurt?
  3. How many hours a week does your team spend keeping the CRM up to date?
  4. Who decides on the next tool, and what would make them switch?
  5. If an AI agent could do one sales task for you tomorrow, which one?