Modern campaigns demand more than geography, industry codes, and job titles. We use AI agents and real-time signals to build targeting datasets that match the way B2B companies actually buy.
The starting point of every demand generation campaign is the data set used for targeting: the Ideal Customer Profile you want to reach and engage with.
Traditionally, the main criteria were geography, industry, company size, and job role. An additional layer was company-level "intent to purchase", detected by analysing content consumption or bidstream data.
The problem? These methods are often too broad, too static, or simply outdated.
Take industry categorisation. Systems like NAICS and SIC have been the standard for classifying businesses for decades. NAICS alone contains over 1,000 six-digit codes across 20 sectors. Yet many modern companies don't fit neatly into categories designed for a different era.
Today, B2B companies need to target organisations that:
The old way of building ICPs cannot keep up. A new approach is needed.
What Demand7 does:
1. Signal intelligence
We use GTM engineering tech stacks that enable advanced, real-time signal searches across your Total Addressable Market.
2. AI-powered data synthesis
We scrape, interrogate, and cross-match specialised databases and public sources against our first-party data to serve campaigns with surgical precision.
From lookalike expansion to hyper-targeted verticals, we build the precise datasets your campaigns need.
Start with your best customers and let AI find more like them. Our agents analyse each company across 10 parameters and suggest 7–10 lookalikes per record, cleaned, validated, and matched against our first-party database to estimate reachable leads.
Define the triggers that matter to your business: funding rounds, hiring surges, tech adoption, leadership changes. Our AI agents continuously identify and validate matching accounts against your ICP to build a living Target Account List.
When standard industry codes aren't precise enough, we go deeper. Using AI to interrogate publicly available registries and specialised databases, we build custom targeting datasets for niche verticals, matched against our first-party contacts for immediate activation.
AI-powered lookalike expansion workflow
Spotlight Service
Your best customers are the blueprint for your next ones. Instead of guessing which accounts to target, our AI agent studies what makes your top accounts tick and finds more companies that match.
The process is methodical: clean data in, validated lookalikes out. No approximation, no inflated lists.
"What makes AI powerful in demand generation today is data triangulation: AI agents can combine non-homogeneous data pools, extract meaning from them, and deliver clean targeting datasets ready to activate."
Signal detection and monitoring in action
Spotlight Service
Traditional intent data tells you a company might be interested. Signal intelligence tells you why and when. We define the triggers that matter to your business and build detection systems that surface accounts the moment they become relevant.
Once a signal fires, our AI agents validate the account against your ICP and add it to a living Target Account List ready for activation.
Example: Precision healthcare targeting using NPPES registry
Spotlight Service
When standard categories aren't enough, we build datasets from the ground up. This approach goes beyond NAICS and SIC classifications to identify the exact organisations your campaign needs to reach.
Here's a real example from a client targeting the US healthcare sector:
