'Hiip' Uses Data and Algorithms to Match Brands and Influencers
Laura McQuarrie — October 10, 2016 — Business
References: hiip.asia & techinasia
'Hiip' is the name of a Vietnam-based start-up that's aiming to help brands find the best social media influencer to work with on a new campaign, product launch or otherwise.
Hiip has a brand create a campaign brief on its site, which the platform will then analyze using data and analytics in order to help brands and advertisers connect with the social media influencers that will be of most value. After a few influencers have been suggested, these individuals have the chance to put together a proposal and quote for review.
As Hiip co-founder Phi Nguyen says, "For a very long time, brands in Vietnam used to choose influencers based on subjective feelings. We want to change that." This technology helps marketers tap into a range of different influencers who are experts in their niches.
Hiip has a brand create a campaign brief on its site, which the platform will then analyze using data and analytics in order to help brands and advertisers connect with the social media influencers that will be of most value. After a few influencers have been suggested, these individuals have the chance to put together a proposal and quote for review.
As Hiip co-founder Phi Nguyen says, "For a very long time, brands in Vietnam used to choose influencers based on subjective feelings. We want to change that." This technology helps marketers tap into a range of different influencers who are experts in their niches.
Trend Themes
1. Data-driven Influencer Marketing - Using data and analytics to match brands with the most valuable social media influencers.
2. Algorithmic Influencer Pairing - Leveraging algorithms to analyze campaign briefs and suggest relevant influencers for brands.
3. Objective Influencer Selection - Replacing subjective influencer selection with data-backed recommendations for better brand partnerships.
Industry Implications
1. Marketing and Advertising - The marketing and advertising industry can embrace data-driven influencer pairing to optimize brand collaborations and reach target audiences effectively.
2. Social Media - The social media industry can benefit from algorithmic influencer pairing to enhance user-generated content collaborations and increase engagement rates.
3. Technology and Analytics - The technology and analytics industry can explore the use of algorithms to optimize influencer selection and enhance the brand-influencer matching process.
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