Here at StatSocial, we recognize how essential third-party data—such as social insights—is to improving customer acquisition, engagement, and retention. But only if you have the right insights. Many platforms boast their abilities to provide best in class social insights, and yet they only pull from one source (e.g. Twitter).

We’re pleased to say we have the most comprehensive social intelligence platform that pulls from major social channels including Twitter, YouTube, Instagram, LinkedIn and even Twitch and Reddit. Our social insights have made a huge impact for some major brands and agencies.

Let’s take a look at 5 ways real-life companies used our social insights to transform their marketing strategies:

1. Competitor Audience Insights

  • Scenario: A major at-home fitness company was interested in doing an analysis to understand how their audience differentiated from their largest competitor.
  • Goal: To target their competitor’s customer base.
  • Result: Using social insights, they were able to cluster audiences of their brand and their competitor’s into distinct buyer personas. They discovered that in order to capitalize on their competitor’s market share they would need to target serious athletes and influencers (e.g. diet and exercise enthusiasts) more aggressively.

2. Persona Creation

  • Scenario: A major financial services company worked with a market research firm to develop detailed personas focused around ‘type of spenders’. The problem was, they didn’t know what to do with the personas.
  • Goal: To make the personas actionable and targetable in the digital realm.
  • Result: The financial services company used StatSocial to create highly targeted audiences at scale based on these personas. Each audience segment included 10-20 million people that their team could run paid media campaigns on.

3. Market Research

  • Scenario: A leading market research company looking to strengthen survey data and resulting panel insights.
  • Goal: Append and index survey panel members with social media insights.
  • Result: The survey company used StatSocial insights to enrich their first-party panels to help them to understand more about their respondents than was previously available. Determining what interests, influencers, personality traits, and media consumption were most relevant to a panel was essential to understanding how a specific target group varies from the total population of those surveyed.

4. Audience Intelligence and Retargeting

  • Scenario: A global media company helped a client assess how a minor product issue damaged brand perception.
  • Goal: To figure out which audiences were exposed to or engaged with negative content about the brand via social media.
  • Result: Using StatSocial’s audiences, the global media company was able to identify the audiences exposed and remove them so that they could then activate paid media campaigns to affected audiences, while remaining privacy and GDPR compliant.

5. Influencer Attribution

  • Scenario: A global advertising agency company used social insights to identify micro and macro influencers for their clients.
  • Goal: Run highly effective influencer campaigns and be able to tie ROI directly back to influencer audiences.
  • Result: They were able to use StatSocial audience data and export it into the brand’s attribution system to see the actual revenue impact of those campaigns. This direct attribution to sales revenue is a radical new development for the influencer marketing industry.

Final Thoughts: Third-Party Data Matters

One of the biggest mistakes marketers make when planning out their strategy is mainly relying on first-party data. How can you know what you’re missing if you never look outside? Third-party data is crucial to seeing the whole picture—interactions, interests, and affinities—your customers have outside of your brand so that you can piece together who they are.

If you’re interested in understanding how social audience insights can help transform your marketing strategy, let’s chat.


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