The Micro Targeting Strategy agent builds a precision targeting framework — behavioural signals, intent data, firmographic filters, and dynamic messaging rules — so the right message reaches the right person at exactly the right moment.
The problem
You're segmenting by company size and industry but treating everyone inside a segment identically
High-intent signals are firing in your CRM and no one's acting on them in real time
Your best accounts are getting the same experience as cold prospects
You're leaving personalisation to individual reps when it should be systematised at scale
How it works
01
Signal and segment architecture
What behavioural, firmographic, and intent signals do you have access to? The agent maps the signals to the audience segments they define and the actions they should trigger.
02
Dynamic messaging rules
Which message should fire for which signal, at which funnel stage, on which channel? The agent builds the rule set that makes personalisation systematic rather than manual.
03
Execution playbooks and measurement framework
How to implement the targeting rules in your existing martech stack, and the metrics that validate whether precision targeting is improving your conversion rates.
What you get
Signal taxonomy: the behavioural, intent, and firmographic signals available and their strategic value
Audience segment architecture: the precision segments and the rules that define them
Dynamic messaging framework: what content and copy each segment sees, and when
Trigger playbooks: the automated actions that fire when key signals appear
Measurement framework: the conversion metrics that validate whether targeting precision is driving outcomes
Common questions
Do I need a CDP or complex martech to do this?
+What's the difference between segmentation and micro-targeting?
+Does this require intent data tools?
+How does this relate to ABM?
+30-day free trial. No credit card. Cancel anytime.
Start free trial →