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Audience Intelligence

Identify Lookalike Audiences

Find new prospects that mirror your best customers

CPGQSRFitnessFinancial ServicesReal Estate

You may know who your best customers are, but finding more people like them is often slow and imprecise. Broad prospecting or audience buying can absorb spend without improving quality. Growth becomes harder when acquisition depends on wide assumptions rather than patterns linked to proven high-value customers.

AI identifies the attributes of your strongest customers and finds similar audiences in external data sets and media environments. Teams can focus acquisition on people who look more like proven winners. That improves targeting efficiency and helps expand reach without relying on overly broad audience definitions.

  • Build lookalike models from top decile customer segments
  • Score and rank external prospect lists by fit
  • Layer in intent signals to surface in-market lookalikes
  • Activate lookalike audiences in paid media platforms
  • Continuously retrain models as customer base evolves
  1. Stop fishing in the wrong pond, reach prospects who already look like your best customers.
  2. Reduce wasted sales and marketing effort on low-fit accounts.
  3. Build an always-improving prospecting engine that gets smarter as your customer base grows.
25-45%Improvement in prospect to opportunity conversion
30-50%Reduction in cost per qualified lead
2-3xIncrease in outbound response rates
Day 30

Lookalike model built, top customer cohort analyzed, key attributes identified, initial scored prospect list generated

Day 60

Outbound sequences and paid media audiences activated, first performance data collected

Day 120

Model refined based on conversion data, lookalike quality improved, reach expanded to adjacent segments

  • 12+ months of closed-won customer data with firmographic attributes
  • Customer LTV and expansion revenue data by account
  • Third-party prospecting database (ZoomInfo, Apollo, Lusha)
  • Intent data by account and topic (Bombora, G2)
  • Campaign engagement history by contact
  • Paid media audience performance data (LinkedIn, Meta, Google)
  • CRM (Salesforce, HubSpot)
  • Ad platforms (LinkedIn Ads, Meta, Google Ads)
  • Prospecting database (ZoomInfo, Apollo)
  • Marketing automation (Marketo, Klaviyo)
  • CDP (Segment, mParticle)
  • Demand gen manager (audience strategy and campaign activation)
  • Data scientist (lookalike model development)
  • Marketing ops (data pipeline and platform integration)
  • Paid media specialist (ad platform audience activation)
  • Sales development rep lead (outbound sequence design)
Identify Lookalike Audiences | AI Explorer | The Matrix Point