Best Sponsorship Analytics Software for TikTok

Find and compare the best Sponsorship Analytics software for TikTok in 2024

Use the comparison tool below to compare the top Sponsorship Analytics software for TikTok on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Blinkfire Analytics Reviews
    Blinkfire Analytics, a sponsorship data platform, uses computer vision to accurately measure media value in real time. This allows rights holders and brands to better engage fans and sponsors. Measure your social content engagement beyond followers and likes. Track the amplification, applause and conversion rate for each post over a customized time period. BrandSpotter™ allows you to track the value of each image or video. Our brand detection technology, which is patent-pending, finds brands and scenes in images, videos, and other media such as YouTube, Facebook, Instagram and YouTube. You can instantly value your social media inventory to sell sponsorships or to report to current sponsors the ROI of previous engagements. Brands and rights holders use our data to reimagine how they negotiate sponsorship deals. Are you looking to hire a research company to value your social and digital inventory? You can generate a report with just a click that includes the social inventory's value over any period.
  • 2
    Tradable Bits Reviews
    Tradable bits helps entertainment and sports brands to better understand their fans and market more effectively. These tools combine fan data from multiple networks to give you a complete picture of your audience. This knowledge empowers you to cater to individual fan requirements in your email campaigns and email marketing campaigns, increasing engagement, fan loyalty, and sales. Brands on our platform can market smarter by understanding their fans. This allows them to provide amazing fan experiences and optimize marketing spend. The platform allows you to run advertising campaigns on all major social networks. To analyze the behavior and characteristics of each fan in your database, create a single fan view.
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