From the book Marketing Rebuilt
The Signal Era.
B2B marketing has been measuring the wrong thing. Activity was never the answer. Signals always were.
The Signal Era is the shift from activity-based marketing to signal-based intelligence. From planning what to do, to detecting what the market is already telling you. Signals initiate the work. Agents execute it. Humans govern the outcome.
What is actually happening
Inbound is up. Pipeline is down.
Consider an illustrative scenario, not a reported customer result: marketing qualified leads rise while qualified pipeline stays flat. Dashboards are full. Something is working, on paper. But revenue stalls, and nobody can explain why with any confidence because marketing, sales, and finance are each looking at a different number and each one says something different.
Sales development teams have stopped calling the leads marketing generates. They build their own lists. Marketing produces. Sales ignores. Two teams, one revenue number, no shared truth between them.
The teams doing this work are not failing. They are doing more than any team has done before. Great events. Strong content. Late nights. Slack still buzzing at ten. And then the internal conversation turns.
Activity has been lying to us for a long time. Signals have been telling the truth. Most companies just have not been listening.
The simplest way to explain it
Your marketing plan is a paper map.
Think about GPS navigation. Real-time routing. Automatic rerouting when traffic builds. Always aware of where you are. Always responding to conditions on the ground, not to predictions made before you left.
Now imagine someone introduces paper maps. You plan the entire route before you leave. No updates once you start driving. Miss a turn and you are lost. Construction ahead? Too bad. Traffic jam on your planned route? Hope you left early. The information is frozen the moment you printed it.
That is where B2B marketing has been operating. Annual plans and quarterly campaigns built before real-time signals were available, structured around what humans could coordinate manually rather than around how buyers actually behave.
Your marketing plan
A paper map.
The market
Moving traffic.
AI
The GPS.
The old system feels normal only because most teams have never experienced the alternative.
The definition
What is the Signal Era?.
The Signal Era is when organizations stop drowning in activity and start acting on intelligence. It is the shift from measuring what marketing did to detecting what the market is saying, and from planning campaigns in advance to responding to signals in real time.
A signal is a piece of real-time market intelligence that tells you something meaningful is happening at a target account. Not a metric. Not a KPI. A signal is the market speaking to you about a specific company, a specific moment, and a specific opportunity.
You stop asking "what campaigns should we run?" and start asking "what signals are we missing?" You stop measuring activity and start measuring intelligence. The old playbook rewarded effort. The new one rewards detection.
Signals are everywhere
What a signal actually looks like.
Most companies miss signals because they are looking in the wrong places or looking too slowly. Here is what real signals look like when you know how to see them.
| Signal type | What it looks like | What it tells you |
|---|---|---|
| Account depth surge | A target company visited three pages last month. This week they hit seventeen, including security documentation and API reference. | Possible buying-committee research. Confirm account identity and rule out routine support visits. |
| Internal doc share | Someone at your prospect company forwarded your compliance documents to their IT team. | Possible internal evaluation. Confirm the recipient and context through authorized evidence. |
| Economic buyer returns | The economic buyer revisited your pricing page twice in two days, after the demo. | They may be building a business case or comparing alternatives. Confirm their open questions before responding. |
| Organizational intent | Your target account just posted four data engineering roles in the function that would use your product. | They may be expanding a relevant team. Replacement hiring is another explanation to check. |
| Pattern in the stall | Three deals in a row got stuck at the same stage, on the same objection. | The pattern is the signal. Once you see it, you can fix it before the next deal stalls. |
These signals exist in your data right now. The question is whether you are detecting them and acting on them before your competitors do.
See the full signal catalog →The real reason it stalls
The signal fired. Nobody heard it.
Here is what usually happens when a signal fires at a company that has not built for it.
- 01The signal fires. Someone checks a dashboard, hours later or the next day. They are not sure what it means, so they log it somewhere.
- 02The log sits in a tool nobody checks regularly. Or it triggers an email to someone who is already in fourteen other things.
- 03By the time a response goes out, the moment has passed. The buyer has moved on. Your competitor was faster.
The problem is not the data. Most companies have more signal data than they will ever use. The problem is the time between detection and coordinated response. In the Signal Era, that window is measured in minutes, not days.
What changes
From activity to intelligence.
The Signal Era does not replace the work. It changes what fires the work.
| Legacy marketing asks | Signal Era marketing asks |
|---|---|
| What campaigns should we run this quarter? | What signals are we missing right now? |
| What did we do last month? | What is the market telling us today? |
| How much content did we produce? | Which content produced a signal worth acting on? |
| Did we hit our MQL target? | Did the signals we detected move into pipeline? |
| What is our plan for this segment? | Which accounts are signaling right now? |
| Why did this deal stall? | What pattern in the stall is showing up across deals? |
The operating sequence
01Signals initiate.
02Agents execute.
03Humans govern.
This is how work starts in the Signal Era. A signal fires. An agent acts. A human governs. Pipeline moves. That sequence runs inside the AI Marketing Engine, the ten-capability framework at the center of Marketing Rebuilt.
Who leads the humans and agents in that sequence is covered at The AI Marketing Workforce.
Free resource
The Signal Library.
A free catalog of B2B signal types, organized by category, with examples of what each looks like and what it means. No form. No email required. The first place to go when a team wants to know what signals to look for and how to act on them.
Browse the Signal Library →The complete argument
The Definitive Guide to the Signal Era.
A structured guide to the shift from activity-based marketing to signal-based intelligence. Where signals come from, what they look like, why most companies miss them, and how work starts differently when you build for detection rather than planning.
About 20 pages. The argument behind the shift.
Get the free guide →- 01The activity trap: why output is not the same as pipeline movement
- 02The paper map problem: why annual plans cannot respond to real-time markets
- 03Six signal families, with buyer, pipeline, customer, and relationship examples
- 04Signal or noise: relevance, strength, timing, and actionability
- 05From signal to action: ownership, permissions, and human accountability
- 06Your first 90 days, an executive checklist, and a first-workflow worksheet
Questions marketing leaders ask
Frequently asked questions.
What is The Signal Era?
The Signal Era is when organizations stop drowning in activity and start acting on intelligence. It is the shift from measuring what marketing did to detecting what the market is saying, and from planning campaigns in advance to responding to signals in real time.
What is a buying signal in B2B marketing?
A buying signal is a piece of real-time market intelligence that tells you something meaningful is happening at a target account. It is not a metric or a KPI. It is the market speaking to you about a specific company, a specific moment, and a specific opportunity. Examples include a pricing page revisit after a demo, a champion sharing your security documents internally, or a job posting spike in the function your product serves.
Are buying signals the same as intent data?
Not exactly. Intent data is one input. Signals also come from first-party behavior on your own site and product, sales conversations, customer usage, and changes in the market. Intent data can tell you a topic is being researched. A signal tells you something meaningful changed at a specific account.
How is signal-based marketing different from activity-based marketing?
Activity-based marketing measures what the team did: campaigns run, content produced, MQLs generated. Signal-based marketing measures what the market is doing: which accounts are showing intent, which signals fired, how fast the response was. Activity rewards effort. Intelligence rewards detection.
What signals should B2B companies track?
This library organizes examples into five categories: intent signals (direct buying activity like pricing page visits and doc shares), organizational signals (job postings, leadership changes, funding), behavioral signals (engagement patterns across email and content), temporal signals (deal stall patterns, fiscal timing), and competitive signals (account engagement with competitor content). The Signal Library covers all five with examples.
How do AI agents use signals?
Signals initiate the work. When a signal fires, an AI agent is the first responder: it researches the account, drafts an outreach, alerts the right human, or updates the CRM. A human governs the outcome. The operating sequence is: signals initiate, agents execute, humans govern. The AI Marketing Engine covers how that system is built.
What is in The Definitive Guide to the Signal Era?
A practical guide to the shift from activity to intelligence. It covers the paper map problem, six signal families across buyers, active deals, and customers, signal quality, human accountability, a 90-day pilot plan, and a first-workflow worksheet. The website's five-category Signal Library is a complementary reference. 20 pages. Available on the Guide page.
Last updated: October 24, 2026
Written from twenty years in the CMO seat.
Mark Tack is a six-time B2B CMO who has spent more than twenty years building marketing organizations across enterprise software, AI, and data companies. He has seen the shift from activity to signal-based marketing up close, in companies where it worked and in companies where it stalled. He is the author of Marketing Rebuilt and the creator of the AI Marketing Engine.
More about Mark Tack →
The book
Marketing Rebuilt.
How People and Agents Crush Pipeline Targets with the AI Marketing Engine
The Signal Era is where the book starts. Marketing Rebuilt explains what to build for it: all ten capabilities of the AI Marketing Engine, with 100 agent-powered use cases.
Start asking a different question.
Not "what campaigns should we run?" What signals are we missing?
Get the Definitive Guide to the Signal Era →