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
Deals
Find your revenue About revenue blindness

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

Economic Cost

80% will never buy

No scalable process you can trust = you're still wasting 80% of your marketing budget and outbound efforts for irrelevant companies.

You treat 1M as 10k

No consistent way to qualify = You treat high-value accounts with your low-value practices.

You miss revenue

All the revenue you fail to identify today = totally missed or delayed deals, that should've landing this Q.

Root Cause

Why this keeps happening in otherwise good teams

Sales and Marketing don't share a defensible view of account value $$$ — so outbound teams default to one of 2:

Spray and pray — volume spam all marketing leads

Focus on just a few big accounts defined by sales

Symptoms

That failure shows up in predictable ways inside GTM teams

Junior-Led Strategy

Your BDRs qualifying accounts based on vanity signals while chasing quota metrics = poorly qualified accounts that define your future marketing and sales strategy.

Random Signals Lead You

You hope "intent" signals — website visits, searches, downloads — mean buying intent. In reality, 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 don't know who your paying clients are by name — only by GTM documents.

What you get

Revenue Blindness to Actionable Strategy

Transform your CRM from a list of names into a prioritized revenue map

Revenue-Aware CRM
You can name 100k-100M in potential ARR
80%

Accounts Dropped

Drop 80% of your accounts as totally irrelevant. Stop wasting budget on companies that will never buy.

100M

Potential ARR

Focus on accounts that can actually generate 100k-100M of ARR for your company.

Deals

Revenue Not Missed

Identify opportunities that should have been deals this quarter. Turn potential into revenue.

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.

Ampeco Logo

Real example: Ampeco's €200M Revenue Discovery

Here is what we achieved at AMPECO as Series B SaaS with our PrepToKnow flow:

We removed 70% of our wasted budget

Stopped wasting re-marketing, outbound and ABM effort to >9,000 companies that would never buy from us. Instead, we focused our efforts on >2,500 accounts worth >€200M+.

We also created 3 new departments to handle potential tech, channel partners and consultants who work with our potential clients.

Company Relevance
Irrelevant 6,893
Revenue Potential 2,567
Partners 565

Market strategy backed by data

We took decisions such as "Should we hire in Germany?", but with hard numbers: "Yes, we've identified €34M across 359 qualified accounts."

We also decided NOT to hire in LATAM, MENA and Southern EU, as the data didn't support it.

Market potential
DACH €34M
359 companies
Nordics €23M
63 companies
UK & Ireland €20M
127 companies

Target specific competitors

We launched targeted campaigns to 236 companies with in-house solutions worth >€55M of ARR.

We also launched campaigns to bankrupting competitors' clients in timely manner, and won some of our biggest clients.

competitors used
In-house built 236
Chargecloud users 66
Drive users 64
Discover Your €200M →
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

Alex Petkov
"
Most people can't believe you can outreach 20-30 companies a week with 2 BDRs and generate 15% of the total sales pipeline. In high-ticket sales you don't need volume, you need focus.
Alex Petkov
Founder, PrepToKnow
Connect on LinkedIn
8/10 spots remaining

Founding Partner Program

Join 10 teams who'll shape PrepToKnow while we prove the methodology works in your market

What You Get

Strategic Research as a Service: We combine your market knowledge with our 5 years of GTM experience across 77 countries to uncover hidden revenue in your CRM.

€100k-€10M

Uncovered Revenue

Hidden pipeline from your CRM

100-400

Qualified Accounts

Revenue-ranked & ready

60-80%

Noise Eliminated

Irrelevant accounts removed

1k-5k

Companies Researched

Full market analysis

Full Access to PrepToKnow

Complete onboarding and ongoing access for future market research

This isn't a trial. It's a partnership.

How It Works

You bring your market knowledge. We bring 5 years of GTM experience across 77 countries. Limited effort from you is required.

Week 1

ICP Refinement & Evidence Framework

We map your product, use cases, and manually research 50 accounts to define what "high-fit" really means based on your pricing, product and market fit models.

Week 2

Evidence Automation & Calibration

We scrape, structure, and validate insights on your first 100 accounts until signal quality is bulletproof.

Week 3

Full Market Analysis

We run your entire CRM or TAM - scoring, segmenting, and eliminating 70% of the noise.

Week 4

Revenue Map Delivery

You get your top 50-100 accounts, an evidence-backed ICP, and a clear view of where €10M–€100M in revenue is hiding.

Is this a fit for your team?

We're looking for partners where we can have the biggest impact.

Best fit for companies that...

Sell B2B products with €50k+ ACV where individual accounts materially affect revenue.

Have 5,000–50,000 CRM accounts with an active outbound or account-based sales motion.

Can infer account value from public data (company size, tech stack, hiring, footprint).

Operate Sales and Marketing as separate teams that must align on which accounts matter.

Not a fit if you...

Sell low-ACV, transactional, or volume-driven products where focus doesn't change outcomes.

Primarily serve B2C, SMB, or inbound-only customers without account-level sales.

Spray-and-pray outbound still works.

You don't have an established sales process in place.

Find the 10M to 100M revenue-worth of accounts in your CRM!

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.