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Jolly Marketer – B2B Marketing Agency Berlin – RevOps & Lead Generation

Predictable B2B Pipeline

First qualified meetings from week 3. Predictable pipeline in 90 days.

When forecast is gut feeling and sales won’t take your leads, no campaign will fix it. What’s missing: qualified meetings and a system that makes them predictable. We deliver both.

Start

Lead Gen Now

B2B Cold Email + LinkedIn Outreach – first qualified meetings from week 3

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SYSTEM

Revenue Engine

Outbound, Inbound, CRM: predictable multichannel pipeline in 90 days

C-LEVEL

Fractional CMO

Turn marketing into a pipeline function – senior-led, no full-time hire

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20+ years of GTM across enterprise and mid-market, at Microsoft, IBM, Yahoo and own B2B startups

(ex:

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IBM logo 2025 [Home EN] GTM Systems and Revenue Engines
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Jolly Revenue Engine Flywheel

Typical Outcomes:

+40%

more qualified SQLs

+55 %

higher pipeline conversion

+30%

more team revenue

> Pipeline Architecture

5 Bottlenecks Slowing Down Your Pipeline

Most B2B teams don’t have a pipeline problem. They have a systems problem. This is exactly where revenue architecture breaks down.

Unclear Positioning & ICP

Differentiation and ICP are too vague. That creates wasted effort

Pipeline Without Architecture

Lots of activity, no clear lead-to-opportunity flow. Activity replaces system

Sales & Marketing Misaligned

Unclear MQL/SQL definitions and no SLA. Handoffs create friction instead of scale

CRM Without Real Control

Data exists, control doesn’t. Forecast stays unreliable

CAC Rises, Growth Stalls

More budget, barely better efficiency: growth gets costlier, not more predictable

More mediocre leads usually just amplify the chaos

Revenue and GTM architecture + AI create structure and more qualified leads

> Experience from Hundreds of Projects

Some teams that scale with us

Hundreds of client projects across many industries and 25 years of experience at some of the world’s leading companies, from Microsoft and IBM to scale-ups, have shown us what teams really need for scalable growth.

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CLAAS
VVR
Buhl
Caseware
Caya
AVILOO
WeMatch
Action1
Status Labs
Piabo
Styla
Transco
Red Pepper
i-ways
5 Sterne Redner
DevAngels
Brayn.io
OnQuality
Networker
Goodhouse Films
TissueGnostics
Le Guide Noir
TruckRefunds
Fynbiz

> Your first step

Revenue architecture audit

Within 14 days, you’ll know where pipeline performance leaks and which levers drive immediate impact.

Scope of services

  • Clear ICP and PMF visibility
  • Funnel and conversion reality
  • CRM and forecast clarity
  • AI and automation potential
  • Prioritized 90-day levers
Get Revenue-Setup analyzed

> Results from the Field

Case Studies

Hundreds of client projects across many industries have shown us which levers actually work. And with every conversion and every new project, our agents keep learning.

Fractional CMO Lead Gen HubSpot DemandGen AI & Automation

Case Study

Revenue Engine: E-commerce SaaS

Styla Logopng 1 [Home EN] GTM Systems and Revenue Engines

Styla: from a short-term sales push to a repeatable growth system. HubSpot as the central Revenue Engine, so demand, pipeline and retention become controllable as a system.

  • Repositioning around clear use cases and target segments, with prioritized growth levers.
  • Building a growth team and automated processes for content, nurturing, conversion, and routing.
  • Product-led GTM (activation, lifecycle) with clear handoffs between product, sales and marketing.

SQL leads: +70% | Sales: +35%

Fractional CMO Lead Gen DemandGen AI & Automation Salesforce

Case Study

Revenue Engine: AgriTech SaaS

claas logo [Home EN] GTM Systems and Revenue Engines

CLAAS/365Farmnet: from campaigns to a demand system. Salesforce as GTM backbone for clearly measurable signals, fast tests and scalable new customer acquisition.

  • Refine target segments, use cases, value proposition, clearly prioritize potential.
  • Channel setup: performance, content and CRM processes, messaging, clean sales handoffs.
  • Funnel control via stage-level KPIs, reviews, iteration; optimize budget and resources measurably, data-driven.

Active users +200% | CAC -50%

> Framework for Growth

The Revenue Engine

Systematic B2B growth across 4 levels

Strategy, pipeline, demand, and control work together, not in silos.

Strategy and Offer

Crystal-clear ICP

Positioning that sells

Multichannel Outbound Engine

Use timing and signals

Opportunities, not replies

Demand & Inbound Engine

Inbound, not by chance

Pipeline-building content

CRM Intelligence Engine

Clean CRM, clear handoffs

Reliable forecast

What sets us apart

a) System building, not one-offs

b) C-level experience + execution

c) Architecture, automation, and AI from one source

d) 20+ years B2B experience at Microsoft, IBM, Infor, Yahoo plus own B2B startups

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As an official HubSpot partner with 15 years’ experience, marketing, sales, and CRM become a measurable Revenue Engine with clear workflows and a predictable pipeline.

> How we work with you

Timeline

From onboarding to results

A structured process that turns strategy, setup, and execution into a working growth system, step by step.

Week 1-2

Market focus & clarity

• Refine ICP, PMF, and positioning

• Assess funnel and CRM reality

Results

• Clear growth priorities

• Bottlenecks clearly visible

Week 3-8

Revenue architecture

• Launch outbound and demand

• Integrate automation

Results

• First qualified leads

• Opportunities in CRM

Week 9-13

System Activation

• Optimize conversion precisely

• Stabilize forecasting and reporting

Results

• Stable SQL flow

• Reliable revenue forecast

After 90 days, the pilot is clearly measurable in almost all cases

  • Day 90 review: numbers on the table, clear decision.
  • Either handover and internal operation, or scaling with Fractional CMO, more output, new channels as sprints.
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> The Stack behind the System

Runs on our tech stack

In AI-driven B2B marketing, we are among the pioneers in Germany, continuously evolving our stack of around 50 tools and agents, so new possibilities turn faster into measurable pipeline, efficiency, and an edge.

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Smartlead
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Who is behind Jolly Marketer

Richard Buettner, Founder & Fractional CMO.

20+ years of GTM and revenue experience in enterprise and mid-market, including Microsoft, IBM, and CLAAS, plus his own B2B startups.

German and British – builds predictable revenue systems for B2B SaaS, tech and industrial companies, not isolated campaigns.

LinkedIn

Richard Buettner, Jolly Marketer Founder

> Real-World Results

Case Studies

More selected projects that show how strategy, systems, and execution create measurable growth, stronger conversion, and a more predictable pipeline.

Lead Gen HubSpot AI & Automation

Case Study

Automotive Tech / E-Mobility

aviloo logo b2b 75px 1 [Home EN] GTM Systems and Revenue Engines

Aviloo: Signal-driven cold email outbound for automotive OEM, dealer, and fleet-adjacent target accounts, powered by data-driven research and rigorous hyper-personalization.

  • Extensive scraping and data enrichment to reliably identify triggers, buying signals, and relevant account context.
  • Hyper-personalization at company and persona level (use case, existing systems, events/signals), without operational friction at scale.

SQL Leads p/M (1 market): 25 | Reply Rate: 8%

Lead Gen DemandGen AI & Automation

Case Study

Logistics / Transportation

transco logo [Home EN] GTM Systems and Revenue Engines

Transco GmbH: Automated outbound engine plus HubSpot as the process system for predictable new customer acquisition in B2B logistics, with data-driven ICP and persona personalization.

  • Deep scraping per target industry: pain points, triggers, use cases, and ICP and buyer persona language, systematically extracted and distilled.
  • Hyper-personalized copy and sequences derived from that intelligence, precisely matched to context and role to drive higher reply rates.

SQL Leads p/m: 50 | Opps p/M: 5 | Reply Rate: 9%

Lead Gen AI & Automation

Case Study

Medical Devices / Life Sciences

TissueGnostics logo sm [Home EN] GTM Systems and Revenue Engines

TissueGnostics: Specific ICP (researchers), AI scraping and list building as a context layer for highly relevant, hyper-personalized, pain-point-driven outreach messages.

SQL Leads p/M: 25

Lead Gen AI & Automation

Case Study

Audit & Financial Reporting SaaS

Caseware Logo Stacked [Home EN] GTM Systems and Revenue Engines

Caseware: Signal-driven outbound engine for a regulation-adjacent ICP. AI scraping and account context for highly relevant conversation starters, plus a clean process to sales-ready handoff.

SQL Leads p/M: 20

Lead Gen AI & Automation

Case Study

Software Development Agency

ferendin logo [Home EN] GTM Systems and Revenue Engines

Ferendin Software: New business line: AI for industrial quality assurance, generating 20 high-quality SQL leads per month, with 65% from cold email outreach and 35% from cold LinkedIn outreach.

SQL Leads: +500%

Lead Gen AI & Automation

Case Study

Influencer Agency

LGN logo [Home EN] GTM Systems and Revenue Engines

LeGuide Noir, an influencer marketing agency, significantly expanded its reach in the hotel sector and now generates 20 B2B leads per month.

SQL Leads: +60%

FAQ

What does a B2B revenue system deliver, in practical terms?

A revenue system links positioning, outbound, inbound, and CRM control into one growth logic. The goal is not more activity, but repeatable pipeline. Handoffs become clear, KPIs controllable, and teams work toward the same targets. That reduces randomness and increases efficiency.

What results are realistic in 90 days?

In 90 days, structural impact is realistic: sharper ICP, clearer handoffs, steadier conversion, and better forecast visibility. First qualified leads often appear from week three once outreach and routing are in place. After 90 days, you can measure whether pipeline quality and controllability improved.

How can you generate lead output from week 3?

Output starts by week three when target focus, messaging, sequences, and CRM routing are set early and cleanly. Then replies and meetings flow into a structured system instead of dying in inboxes. The key is not volume, but qualification, handoff, and consistent follow-up.

How is this different from classic lead generation?

Classic lead gen often optimizes one channel or campaign. A revenue system starts with architecture: ICP, messaging, handoffs, KPIs, and CRM logic. Only then do channels go live. The result is less randomness, higher SQL quality, and a setup that can scale internally.

How do you reduce waste and raise lead quality?

Waste drops when target accounts are clearly defined and prioritization is strict. Instead of “more traffic,” focus shifts to in-market accounts, clear triggers, and fit messaging. Combined with clean routing, lead quality rises because the right contacts arrive in the right context.

How do you structurally align marketing and sales?

Alignment comes from binding definitions, handoffs, and shared KPIs. MQL and SQL are clearly defined, SLAs are executed, and the CRM mirrors the process. Both teams operate on the same pipeline logic, instead of debating leads or shifting responsibility.

What role does the CRM really play in growth?

The CRM is not storage, it is the control system. When lifecycle stages, routing, data hygiene, and dashboards are clean, pipeline becomes visible and prioritizable. Without that logic, forecasts stay uncertain and leadership runs on gut feel. With a clean CRM, you can actively steer growth.

How is AI used in go-to-market, the right way?

AI is a lever for speed and process quality, not a strategy replacement. It supports account prioritization, personalization, enrichment, and workflow automation. Used well, it cuts manual friction, shortens response times, and makes execution more consistent without losing quality.

Who is this setup for?

It fits B2B SaaS, B2B tech, and industrial firms with 10 to 250 employees that already sell but lack stable pipeline control. Especially relevant with long sales cycles, multiple stakeholders, and when growth fails due to structure, not effort.

When does a Fractional CMO delivery model make sense?

It makes sense when senior GTM leadership is missing, a full-time hire is too early or too expensive, and you still need structure fast. The model combines strategy and implementation for system build-out without long-term fixed costs. The goal is internal controllability, not external dependency.