LeadMafiaWhat if you could ask for "more customers like my best customer"? That’s exactly a look-alike audience, and the Funneld engine builds it by cross-referencing your best accounts’ patterns with millions of records.
Your best customer has a profile: a sector, a size, some behaviours. A look-alike audience finds others who share that profile. It’s one of the most efficient ways to scale acquisition without blowing up cost.
How a look-alike works
You start from a seed — your best customers — and a model identifies the attributes they have in common: firmographics, intent, behaviour. Then it searches, among millions of records, for those who resemble them most. The result: an audience with a high probability of converting.
Why Funneld does it well
A look-alike is only as good as the data it’s built on. The Funneld engine, with its network of 40+ sources, identity resolution and 60+ AI models, finds patterns a poor system can’t see. The richer the data, the more accurate the "resemblance".
| Step | What happens |
|---|---|
| Seed | You define your best customers |
| Modelling | AI extracts the common pattern |
| Search | Finds similar profiles |
| Activation | Audience ready for CRM or ads |
Instead of searching for customers blindly, you clone the profile of the one you already know works.
What it’s for
- Scale acquisition while keeping lead quality.
- Enter a new market with a proven profile.
- Feed ad campaigns with high-intent audiences.
Conclusion
Look-alike audiences turn your best customer into a mould to find more like them. It’s one of the most powerful applications of the Funneld engine, and the basis of acquisition that scales without losing precision.