/

Blogs Details

What is signal-based marketing and how does it work

Signal-based marketing reacts to real-time behaviours and buying signals, offering hyper-personalised outreach. How can this method improve your marketing performance?

Jun 30, 2025

What is signal-based marketing and how does it work

/

Blogs Details

What is signal-based marketing and how does it work

Signal-based marketing reacts to real-time behaviours and buying signals, offering hyper-personalised outreach. How can this method improve your marketing performance?

Jun 30, 2025

What is signal-based marketing and how does it work

/

Blogs Details

What is signal-based marketing and how does it work

Signal-based marketing reacts to real-time behaviours and buying signals, offering hyper-personalised outreach. How can this method improve your marketing performance?

Jun 30, 2025

What is signal-based marketing and how does it work

Are you struggling to reach potential customers at the right moment? Signal-based marketing offers a timely solution. Instead of broadcasting generic messages, it listens to behavioural cues (also called buying signals) and tailors responses accordingly. As privacy rules tighten and cookies decline, this real-time, data-driven approach becomes essential for marketers.


In this blog, we’ll explain signal-based marketing, how it differs from traditional methods, and how your business can start using it to boost relevance and results.


Understanding Signal-Based Marketing


Signal-based marketing is a modern approach that reacts to specific behavioural or contextual signals from customers or accounts. These might include website visits, email clicks, content downloads, or even firmographic changes like job titles or funding rounds.


Unlike traditional data-driven marketing that relies on static segments or historical data, signal-based strategies prioritise real-time, context-aware triggers. This makes it highly relevant for today’s fast-moving MarTech stacks and revenue teams seeking timely, personalised outreach.


How Does Signal-Based Marketing Differ from Traditional Marketing?


Traditional marketing often operates on a batch-and-blast model, using broad segments and scheduled campaigns. For example, a weekly newsletter or general awareness ad.


Signal-based marketing, by contrast, is adaptive. It listens for key actions, a pricing page visit or a product demo request and activates tailored responses.


Comparison Table

Traditional Marketing

Signal-Based Marketing

Scheduled campaigns

Real-time or trigger-based interactions

Audience segmentation

Behavioural signal interpretation

Generic messaging

Personalised content based on activity

Broad targeting

Prioritised leads based on engagement signals


Example: Instead of sending a product email to every subscriber, signal-based marketing waits until a user downloads a buyer guide, then sends a demo invite within hours.


What Are Buying Signals in Signal-Based Marketing?


Buying signals are observable behaviours that indicate a prospect or customer may be considering a purchase. These signals help marketers identify high-intent individuals and act quickly to guide them through the funnel.


Behavioural Signals


These include actions like:

  • Visiting product or pricing pages

  • Downloading whitepapers or eBooks

  • Clicking on email CTAs

  • Repeated return visits to your website

Technographic and Firmographic Signals


Examples include:

  • Changes in company size, industry focus, or tech stack

  • Company receives funding or hires a new executive

  • Shifts in revenue or market expansion

Engagement Signals

  • Webinar attendance

  • Social media interaction (likes, shares, mentions)

  • Direct message queries or form submissions

Intent-Based Triggers

  • Searching for related products on review platforms

  • Comparing multiple vendors


These signals help pinpoint prospects who are actively researching, allowing timely and personalised follow-up.



What Is the Difference Between Intent Data and Signal-Based Marketing?



Although often used together, intent data and signal-based marketing are not the same.

Feature

Intent Data

Signal-Based Marketing

Source

Third-party data aggregators

First-party and second-party systems

Data Type

Aggregated keyword and topic-level data

Behavioural, firmographic, technographic

Timing

Often retrospective

Real-time or near real-time

Granularity

Audience-level or account-level

User-level or account-level behaviours

Common Use Cases

Lead scoring, ABM

Automated engagement, GTM alignment


Signal-based marketing is more immediate and specific, while intent data provides broader insights across the buying journey.


What Types of Signals Are Used in Signal-Based Marketing?


Signals are categorised based on where they originate and how they’re used.


First-Party Signals


Collected directly from your owned channels:

  • Web analytics (e.g. product page visits)

  • CRM activity logs

  • Email campaign responses

Second-Party Signals


Gathered from strategic partners or affiliates:

  • Behaviour from co-marketing campaigns

  • Referral site activity

  • Shared CRM data with integrations

Third-Party Signals


External sources such as:

  • Bombora, G2, or LinkedIn data

  • Aggregated keyword searches

  • Industry trends from market data platforms

Predictive Signals (AI-enhanced)


Machine learning algorithms can forecast intent by combining multiple inputs and patterns over time.


Example: A lead visits your careers page, follows your brand on LinkedIn, and downloads a whitepaper. AI models may score this behaviour as a high likelihood to convert.



The Future of Signal-Based Marketing



AI and Machine Learning

Advanced models will increasingly drive signal analysis, automatically surfacing the most relevant behaviours to act on. Predictive capabilities will become more accurate, unlocking hyper-personalisation.



Privacy and the Cookieless Era

With the decline of third-party cookies, businesses must rely more on first-party and permission-based data. Signal-based marketing aligns naturally with this shift.



Emerging Tools and Platforms

Platforms like 6sense, Dreamdata, and Mutiny are leading innovation in signal-driven insights. Watch for tools that combine signals from anonymous web visitors with firmographic overlays to improve B2B targeting.



Optimisation Tips for Signal-Based Campaigns



Common Mistakes to Avoid

  • Delaying response: Signals lose value quickly if not acted on promptly.

  • Overloading with low-value triggers: Not all activity equals interest.

  • Ignoring context: One action might not indicate readiness unless supported by others.

Best Practices

  • Real-time response: Aim for responses within one to three hours.

  • Signal prioritisation: Rank triggers by importance and impact.

  • Team alignment: Ensure marketing and sales act on the same insights.

Sample Signal → Response Table

Signal

Suggested Response

Visited pricing page

Send ROI calculator or case study

Attended webinar

Follow up with relevant blog or guide

Viewed three or more product pages

Trigger sales outreach or demo invitation

Downloaded product brochure

Enrol in nurture sequence


How to Start With Signal-Based Marketing (Checklist)



Here’s a simple checklist to launch your signal-based marketing strategy:

  • Review your current MarTech stack for data readiness

  • Identify key signals your prospects already exhibit

  • Map each signal to funnel stages (e.g. awareness vs. purchase)

  • Choose tools to capture, analyse, and act on signals

  • Build simple automations (e.g. lead alerts, content triggers)

  • Align your teams on ownership and SLAs

  • Define a feedback loop for reviewing campaign performance

  • Optimise continuously using test-and-learn cycles



Are your competitors acting on buyer signals while you're still batching emails?

Signal-based marketing helps you move at the speed of intent—not inertia. Connect with us to help you build the workflows, tools, and triggers to make every signal count and keep your marketing relevant and competitive.

 


Frequently Asked Questions


What is the difference between intent data and signal-based marketing?

Intent data gives broader search insights, while signal-based marketing responds to direct behavioural triggers in real time.


What tools do I need for signal-based marketing?

You’ll typically need CRM, automation software, website analytics, and signal or intent platforms.


What are the challenges of implementing signal-based marketing?

Common issues include tech integration, signal overload, and misaligned teams.


What are signal-based marketing best practices for 2026?

Focus on response speed, AI-driven prioritisation, and team collaboration.


How fast should I act on a signal?

Ideally within one to three hours. Delays can cause loss of interest or competitive wins.