Marketers today are sitting on a goldmine of first-party data—but to maximize its potential, they need to go beyond basic customer demographics and purchase data. Imagine if first-party data could be enriched with a customer’s interests, media preferences, brand affinities, and trusted influencers. StatSocial enables this powerful combination of data so that marketers can identify those prospects most likely to convert and personalize engagements across channels. In this blog, we’ll explore 5 different ways you can maximize your first party datasets and enhance marketing programs with social audience data, from precise targeting to campaign measurement.
1. Create or validate buyer personas
An easy and impactful way for marketers to maximize their first-party data is by using StatSocial’s audience insights to create and validate buyer personas that drive smarter segmentation and go-to-market strategies. By layering first-party data with rich, self-declared social insights—including interests, brand affinities, media habits, and influencer followership—StatSocial helps marketers uncover the real traits that define their customers. Whether you’re building personas from scratch or validating existing ones, StatSocial ensures they’re rooted in real audience behavior—so you can confidently tailor messaging and media plans to the audiences most likely to convert.
2. Enrich CRM data with social audience insights and behavior in your preferred environment
Marketers can maximize first-party datasets by layering in StatSocial’s robust social audience insights to build a more complete picture of their customers. By mapping an audience’s social behavior to real individuals, StatSocial transforms basic CRM records into dynamic audience profiles, enriched with thousands of self-declared attributes—from brand affinities and media preferences to personality traits and values. This data can be accessed from any preferred data environment for marketers to target and segment more effectively, personalize messaging with greater precision, and identify new opportunities for growth based on how their audience behaves and engages across the social.
3. Uncover media preferences and favorite creators for more relevant targeting
In order to reach audiences that look and act like your existing customers, knowing where they actively engage is crucial to planning and allocating budgets effectively. By integrating StatSocial’s influencer and media insights, brands can uncover the specific creators, social networks, and media channels their audience trusts most. These insights go beyond just traditional media outlets to reveal the podcasts they stream, the influencers they follow across platforms, and even the TV shows and streaming services they engage with most. When layered with your first-party data, this level of knowledge allows you to activate campaigns in the exact environments your best customers already engage—ideally finding more people just like them.
4. Model and build lookalike audiences for advanced targeting
Unlike broad, platform-based targeting, StatSocial empowers marketers to build precise custom segments using their own first-party data combined with thousands of self-declared social attributes. By uploading first-party data into the StatSocial platform, marketers can analyze their best customers across thousands of unique attributes, model lookalike audiences, and activate them at scale across the digital ecosystem—including DSPs, paid social, CTV, and programmatic platforms.
5. Map customers to social identities for influencer and brand measurement
StatSocial’s ability to identify any social audiences–including those exposed to a recent influencer or social campaign–enables marketers to match first-party purchase data with exposure files for measurement.StatSocial surfaces the real individuals exposed to specific influencer and social content across major platforms like Instagram, TikTok, and YouTube so that marketers can enhance their approach to campaign measurement. Shifting away from vanity metrics and focusing on accurately assessing sales lift, in-store traffic, and ROI associated with a campaign is essential for making more data-driven decisions.
This approach was used by Nestlé, which measured a 25% sales increase by analyzing purchases from audiences exposed to influencer content. StatSocial also supports brand lift surveys and can integrate exposure data into your existing analytics systems—offering a complete view of both paid and organic performance.
Start Maximizing Your First-Party Data Today
StatSocial empowers you to go beyond your first-party data and truly understand and activate your most valuable audiences. Whether you’re enriching your CRM, optimizing campaign performance, or building precision lookalike audiences, StatSocial helps you maximize first-party data at every stage. Book a meeting with our team to learn how we can help you drive smarter targeting, better performance, and measurable results.