Author
Mario Maier
I build agentic marketing systems for sales-led B2B SaaS & AI companies – and write down here what works in practice, what doesn't and why. No hype, with examples you can rebuild.
AI-native revenue marketing engineer · founder of igromo
Founder · engineerFor more than 15 years I've worked at the intersection of marketing, sales and revenue operations – from early-stage setups to scale-ups with multi-stage sales cycles and large buying centers. Since 2019 I've measured my work consistently on pipeline and revenue.
That work produced RevPrime®: first a method that makes marketing steerable again, today a marketing operating system with a knowledge base at its core, specialized agents and a human go before anything with external effect.
I write the agents myself, connect CRM, ads and data and define the governance. The insights on this page are the essence of that work: concrete workflows, decision rules and the mistakes I've seen in projects.
15+
years B2B marketing
€75M+
influenced revenue
50+
B2B teams
2019
revenue marketing focus
What I write about
- Agentic marketing systems & knowledge base
- Account-based marketing & buying centers
- Intent data, scoring & timing
- Inbound, content & visibility in AI answers
- Sales enablement & pipeline metrics
- Governance: human go, change log, permissions
How I write
From practice
Every article describes workflows I've built or reviewed in projects – not what would theoretically be possible.
No invented numbers
Example calculations are marked as examples. I only cite external research with a source.
Humans decide
I always show where agents work and where a human approves – control is part of the architecture.
Kept current
Articles get revised when tools or practice change. The date of the last update is shown at the top.
All articles by Mario
ABM16 min read
Buying committees in hours, not weeks: how AI agents take over account research
Buying committee research with AI agents: map every role, get a briefing per stakeholder, reach out only after your go. With a worked example and 4-week plan.
ABM15 min read
Self-maintaining ABM audiences: how agents keep your target account list current
Your target account list goes stale on export day. See how agents keep tiers, exclusions and ad audiences current on approved rules – with a 4-week plan.
INT18 min read
Fit × intent × timing: an account scoring model sales actually trusts
Build an account scoring model on fit, intent and timing: which signals count, how to weight, decay and set thresholds – with a worked example and start plan.
INT16 min read
From signal to message in 24 hours: signal-based outreach done right
Signal-based outreach turns buying signals into relevant, approved messages within a day. See the six steps, a worked example and a four-week start plan.
INB14 min read
Content for AI answers: how B2B companies get cited in ChatGPT, Perplexity and AI Overviews
AI search visibility for B2B: how to build content that ChatGPT, Perplexity and AI Overviews can cite accurately – plus a 30-day plan to get started.
INB14 min read
Ungated inbound: when to drop the form – and how to capture demand without it
An ungated content strategy without forms: when gating still pays off, how to capture demand via signals and measure pipeline. Plus a 30-day plan.
ENB13 min read
Multithreading with agents: how to de-risk single-threaded deals before they stall
Multithreading in sales without the busywork: how AI agents map stakeholders in open deals, flag single-threaded risk and prep content per role. With a plan.
ENB13 min read
Sales velocity as a marketing KPI: four levers and how marketing moves them
The sales velocity formula explained: a worked example, the four levers marketing can move and a weekly agent report that turns the number into decisions.
Next step
Ready for marketing that runs itself?
30-minute diagnosis call. I take an honest look at your setup, show you where pipeline leaks – and which agents would have the biggest leverage first. Whether RevPrime® fits or not.
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