# Influencer Pairing Algorithms 'Hiip' Uses Data and Algorithms to Match Brands and Influencers By Laura McQuarrie | Published 2016-10-10 | Business Source: Trend Hunter, https://www.trendhunter.com/trends/hiip References: [techinasia](https://www.techinasia.com/hiip-algorithms-match-brands-social-media-influencers) & [hiip.asia](http://hiip.asia/) '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](https://www.trendhunter.com/trends/hivehubai) in order to help brands and advertisers connect with the [social media influencers](https://www.trendhunter.com/trends/tracefluence) 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 Insights (Trend Hunter) - Score: 3.8/10 - Popularity: 26% | Activity: 80% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: Asia ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Business](https://www.trendhunter.com/business) > [New Ventures](https://www.trendhunter.com/newventures) ## Key Themes ### What's Driving This Trend - **Data-driven Influencer Marketing:** Using data and analytics to match brands with the most valuable social media influencers. - **Algorithmic Influencer Pairing:** Leveraging algorithms to analyze campaign briefs and suggest relevant influencers for brands. - **Objective Influencer Selection:** Replacing subjective influencer selection with data-backed recommendations for better brand partnerships. ### Who This Affects Most - **Marketing and Advertising:** The marketing and advertising industry can embrace data-driven influencer pairing to optimize brand collaborations and reach target audiences effectively. - **Social Media:** The social media industry can benefit from algorithmic influencer pairing to enhance user-generated content collaborations and increase engagement rates. - **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. ## Related on Trend Hunter - [Influencer Marketing Tools](https://www.trendhunter.com/trends/xcreateai.md) - [AI Influencer Marketing Tools](https://www.trendhunter.com/trends/eezycollab.md) - [AI-Powered Creator Review Platforms](https://www.trendhunter.com/trends/pair-by-pearpop.md) - [AI Influencer Platforms](https://www.trendhunter.com/trends/ai-influencer.md) - [AI-Powered Influencer Tools](https://www.trendhunter.com/trends/sminco.md) - [Discovery-Based Influencer Platforms](https://www.trendhunter.com/trends/brandpilot-ai.md) - [UAE Influencer-Sourcing Platforms](https://www.trendhunter.com/trends/yapiee.md) - [Influencer Discovery Tools](https://www.trendhunter.com/trends/pick-influencer.md) - [AI-Powered Influencer Management](https://www.trendhunter.com/trends/hypothesis.md)