How B2B Marketers Use Lookalike Audiences for Account Targeting

Lucas and Luna explore how B2B marketers leverage lookalike audiences to find new accounts that resemble their best customers. They break down the data requirements — at least 500 qualified accounts to build a seed set — and walk through a real example from a cybersecurity firm that used LinkedIn Matched Audiences to target 5,000 accounts, resulting in a 30 percent higher meeting rate. The hosts discuss pitfalls like over-fitting to firmographic data and the importance of layering intent signals. They also touch on how platforms like 6sense and Demandbase build predictive lookalikes using third-party data. By the end, listeners understand when lookalike targeting works best in ABM and how to avoid wasting budget on lookalikes that aren't truly analogous. #B2BMarketing #AccountBasedMarketing #LookalikeAudiences #LinkedInAdvertising #DemandGeneration #ABMTargeting #IntentData #6sense #Demandbase #CybersecurityMarketing #B2BDemandGen #PredictiveMarketing #MarketingOps #EnterpriseMarketing #SalesIntelligence #MarketingStrategy #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo