Research the revenue-generating accounts in your CRM at scale

Uncover €10M–€100M in hidden pipeline with transparent, human-defined source-verified AI research

Typical CRM
Only sees deals
Unidentified
accounts
Deals

The real cost isn't wasted effort.
It's missed revenue this quarter!

80% will never buy

You continue spending re-marketing money and outbound effort on irrelevant companies.

You don't have a scalable process you can trust to disqualify 80% of your leads.

You treat 1M as 10k

You treat high value accounts, as if they are low value accounts.

No consistent way to qualify them as BDRs don't have time and AI tools are unreliable

You miss revenue

All the revenue you fail to identify today is either delayed or totally missed.

These are deals you should have closed this Q if you knew which companies to prioritise.

Revenue blindness is a GTM design failure

Junior-Led Strategy

Your BDRs decide which accounts are worth chasing using vanity signals while rushing to meet metric quotas.

Their qualification defines your future marketing and sales strategies.

Random Signals lead you

You hope that some "intent" signals, website visits, google searches, lead magnet downloads, mean actual buying intent.

80% of those companies will never buy.

No strategy, only tactics

Your strategy to 2x your revenue is to spend 2x on marketing & sales.

You have no idea who your paying clients are by name. You only know them by GTM documents.

Revenue Blindness to Actionable Strategy

Revenue-Aware CRM
You can name 100k-100M in potential ARR

This gives you the confidence to drop 80% of your accounts as totally irrelevant.

Focus your marketing and outbound efforts on the accounts that can actually generate 100k-100M of ARR for your company.

Never miss opportunities that should have been deals this quarter.

How does it work?

PrepToKnow puts you in control of what AI can trust—before extraction begins

1

Define ICP Research

Describe how you'd research websites and what you'd search about companies in your CRM.

Examples:

Product pages About Us Careers Tech stack Partnerships
2

Key Data Points & Sources

List all sources you would or wouldn't trust in the process.

Trust:

Website Crunchbase BuiltWith

Don't trust:

Reddit Forums
3

Collect & Analyse Sources

PrepToKnow analyzes which sources meet your criteria and disqualifies others.

System output:

57 pages verified

Reddit posts excluded

12 outdated sources removed

4

Extract AI Insights

Extract key insights and data from verified sources with confidence.

Questions answered:

How many users can use my product?

Do they use tech we integrate with?

Are they hiring for key roles?

Evidence-backed account intelligence you can actually trust.

No hallucinations. No black boxes. Just revenue clarity.

Real example: Ampeco's €200M Revenue Discovery

Here is what me, my team of 2 BDRs, 1 Researched and PrepToKnow flow achieved:

16,221
Total Accounts
70%
Eliminated as Irrelevant
1,407
High-Value Targets
€200M+
ARR Potential Identified
Relevance
42%
were completely irrelevant
Irrelevant 6,893
Unresearched 5,320
Revenue Potential 1,407
Partners 565

Stop Wasting 70% of Your Budget

Confidently identify and eliminate Competitors, Consultants, Partners, and Irrelevant companies from your outbound lists.

→ Focus only on revenue-generating accounts
Market Potential
€34M
in DACH alone (359 accounts)
DACH €34M
359 companies
Nordics €23M
63 companies
UK & Ireland €20M
127 companies
+ 7 more markets analyzed

Defend Your Market Strategy

Answer "Should we hire in Germany?" with hard numbers: "Yes, we've identified €34M across 359 qualified accounts."

→ Turn expansion into evidence-based decisions
Competitors Used
1,225
not yet researched
Unknown / Research 1,225
In-house built 236
Chargecloud users 66
Drive users 64
+157 competitors mapped

Target Specific Competitors

Launch campaigns to 236 companies with in-house solutions showing them the cost of maintenance. Or target 66 Chargecloud users with messaging about platform limitations.

→ Turn competitor intel into targeted pipeline
Real Results, Real Experience

Built by Someone Who's Lived Your Problem

Before PrepToKnow became software, I achieved the following at Ampeco

15%
of Total Sales Pipeline

Generated with just 2 junior BDRs in the 1st year of enterprise sales

Outreaching 10-15 companies per week per BDR

Lead a team of 2 BDRs and 1 researcher

110+
Markets Outreached

The team met companies for more than 10M ARR

The team outreached companies for more than 60M ARR

The team opened deals with 7 out of the top 10 energy and oil & gas companies in SEA

€200M+
Revenue Discovered

Personally led positioning & messaging for 110M+ ARR

Personally created 5M ARR+ of pipeline while leading a team

Personally opened deals with 2.5M in AU & NZ to open the market

P2K
"
Most people can't believe you can outreach 15 companies a week and get such results. However, in enterprise sales you don't need volume, you need focus.
Alexander S.
Founder, PrepToKnow
Connect on LinkedIn

What teams typically uncover

€2–5M

Realistic pipeline surfaced (median)

50–100

High-fit accounts delivered

70%

Of CRM noise eliminated

1,000+

Companies scored and segmented

3–4 weeks

From kickoff to clarity

This is for you if…

  • You have 1–5 BDRs working lists they can't possibly finish
  • Your CRM has 1,000+ accounts with no revenue ranking
  • Pipeline reviews feel subjective
  • Leadership asks "where will next year's ARR come from?"
  • You want fewer, better deals — not more activity

This is not for teams who…

  • Measure success by emails sent
  • Believe volume fixes bad targeting
  • Are comfortable not knowing where revenue comes from

Your top 50–100 revenue accounts are already there

They're just buried in noise.

If this page made you uncomfortable — that's usually the signal.

Book a revenue mapping conversation

30 minutes. No pitch. We'll tell you if Revenue Blindness is costing you deals.