The Need For Big Data In Influencer Marketing Strategies

The Need For Big Data In Influencer Marketing Strategies

Peter Kennedy is president and founder of Tagger Media .

Social networks are one of the world's largest sources of information. Every minute, users post 1.7 million pieces of content on Facebook, upload 500 hours of video to YouTube, and share 66,000 photos on Instagram. Every like, share, follow, view and click on this content is captured by creating a real-time digital behavior database.

Through big data analytics, marketers have turned this pile of social data into a wealth of information, using it to design data-driven strategies and make informed decisions. So how do mainstream brands use data to inform their influencer marketing strategies and deliver the right content to the right audience at the right time?

Use data to inform strategy

The sheer volume of content and wide variety of topics covered by social media influencers creates an invaluable source of information that enables marketers to create effective strategies and gain insight into virtually any industry. To do so, it's important to understand the “who”, “what”, “when”, “where” and “why” (the five Ws) of your product category, industry, and target audience. Leveraging data insights, you can better understand your audience's interests, behaviors and preferences, which can influence influencer selection, creative execution, timing, delivery and message delivery.

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