FOR B2B SAAS

Your best SaaS leads
are already in your database

Vanderbuild builds B2B SaaS lead generation systems on the data you already own - product usage, billing events and CRM records, unified into one engine and activated automatically.

Clay table mapping company signals to accounts, with domains, LinkedIn profiles and news categories

CASE STUDY

38.3%

Reply rate

CASE STUDY

42.4%

Enhanced engagement

CASE STUDY

33

Replies in 2 weeks

CASE STUDY

41.3%

Response rate

CASE STUDY

4

Days to first SQL

CASE STUDY

19.1%

Reply rate

PAINS

Data everywhere.

You already own the data that says which accounts are ready to buy.
It sits in systems that were never wired together, and never reaches
anyone who could act on it.

Five systems, no single truth

Payment solutions, the product itself, your CRM, external data sources, marketing tools. Each one holds a fragment of the same account, and no one on your team can see the whole record without joining them by hand.

Signals nobody acts on

A plan limit hit, a failed payment, a new seat invited. Your product records every one of these and none of them reach sales while they still mean something.

Data that costs instead of earning

You pay to store it, pay again for lists that duplicate what you already own, and it still sits there as reporting. Data should trigger the next conversation, not describe the last one.

HOW IT WORKS

GTM Engine for SaaS

Vanderbuild GTM engine for B2B SaaS: product usage, billing events and CRM records unified into one engine and activated automatically
THE ENGINE

We build full
GTM Engine

Your product, billing, CRM and marketing tools each hold part of the same account. The engine pulls those records into one source of truth, then works each account five ways before anything reaches a prospect. Nothing here is a report you read once a month - every step ends
in an action.

B2B Data Enrichment

Every account gets filled out before anyone looks at it. Firmographics, tech stack, headcount movement and contact data are pulled from Clay, Apollo and Sales Navigator, then written back to your CRM. You stop paying for lists that duplicate records you already own.

B2B Segmentation

Enriched accounts are grouped by how they actually behave - plan tier, usage pattern, industry, funding stage. This is the step everything else depends on. Without it every account gets the same message and the same priority, which is how outbound turns into noise.

Lead Qualification

Each account is scored against your definition of a good fit, not a generic template. Product signals carry weight here: a hit plan limit or a failed payment moves an account up, while a wrong-size company drops out before a rep ever opens it.

Funneling and Lead Routing

Qualified accounts go down the path that fits them. High-intent product signals reach sales the same day, early-stage accounts enter nurture, partner-shaped accounts move to a different owner. The rules are written once and run without anyone maintaining a spreadsheet.

Data Activation

The record stops describing the past and starts a conversation. Email, LinkedIn outreach and CRM tasks fire from the same engine, using enrichment already attached to the account. A failed payment becomes outreach today, not a line in next month's dashboard.

By clicking Book a call you're confirming that you agree with our Terms and Conditions.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Lead Generation Services

Pick the format that fits your growth stage. Each Plug and Play includes infrastructure setup, copy, targeting, and live campaign management.

Data Orchestration Services

Most teams sit on thousands of contacts they never work. We build automations that clean, enrich, qualify, and reactivate your CRM data - while your sales team focuses on closing.

CASE STUDIES

Results you can verify

Clear reporting on what matters most to our customers.

How we helped CXLABS validate product-market-fit for 3 service lines in 3 weeks

CXLABS tested 3 market segments through structured outbound in 3 weeks. 4 qualified opportunities. See how PMF Validation replaces guesswork with data.

Read full case study

Vanderbuild validated demand across our key segments and delivered qualified opportunities within days. The results - 4 SQLs, a 55% LinkedIn reply rate, and strong FMCG traction - gave us a clear direction to scale.

Artur Górniak

Artur Górniak

Founder & CEO, CXLABS

Agency
Product Market Fit

55%

Linkedin reply rate

WORK WITH VANDERBUILD

Ready to build GTM engine
for your SaaS?

Book a 30-min call.
No pitch. You’ll leave knowing which systems fits - or that none do.

Colorful digital cityscape with tall buildings and bright neon lights, reflecting a futuristic theme.

FAQs

Answers to the questions we hear most from B2B sales and growth leaders.

What is GTM engineering?

GTM engineering is the practice of building revenue systems instead of running campaigns by hand. Rather than hiring more SDRs, you connect the data you already own - product usage, billing events, CRM records - to enrichment and outreach tooling, then let defined rules decide who gets contacted and when. The output is infrastructure your team operates, not a retainer you keep paying for activity.

What is a product qualified lead in B2B SaaS?

A product qualified lead is an account that has shown buying intent inside your product rather than on your website. A hit plan limit, a failed payment, a new seat invited, a feature used three times in a week. These events sit in your product database and your billing system. Most SaaS companies record them and report on them monthly, but never route them to sales while they still mean something.

Should a B2B SaaS outsource outbound lead generation or build it in-house?

Build it in-house if you already have someone who can wire your product events to a CRM and an outreach tool. Most SaaS teams under 100 people do not.

How do you decide a signal actually means something for my accounts?

Scoring runs per account, not per signal. The same event means different things to different companies, so a signal is evaluated against each target account separately. Signals that name a company are matched directly. Signals about a market or a category get tagged by topic and raised as industry context, lifting buying readiness for every account in that segment. You see the scoring model before it goes live.

How much does cooperation cost?

Our lowest cooperation package starts from 1 800 USD net monthly. Most clients choose a package worth around4 500 USD net monthly. With at least 3 months of cooperation.