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Rivet

Develop by rivet.app
Free plan available

"Optimize fan engagement through data-driven insights for artists."

Data-driven insights
Personalized discounts
Audience segmentation
A.i.-based recommendations
Fan purchase tracking
Social media analysis
Promotional strategy

About Rivet

Built by rivet.app

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Introduction Video

Description

Rivet is a fan engagement platform for artists, creatives, and their teams to put engagement on auto-pilot.

Rivet aims to revolutionize customer relationship management for our artists by utilizing BigCommerce order data to track fan purchases. This data, when combined with social media interactions and event attendance, will allow us to construct a comprehensive and multi-faceted profile of fan engagement. With these insights, Rivet will empower artists to segment their audience and identify highly engaged fans for targeted outreach. Furthermore, by analyzing fan data in conjunction with artists' release schedules, Rivet will provide A.I.-based recommendations for new merchandise, promotional strategies, and personalized discounts. These data-driven suggestions are designed to amplify engagement and drive increased traffic to the artists' BigCommerce storefronts, ultimately fostering a more dynamic and profitable connection between artists and their fans.

Pros

  • Provides comprehensive fan profiles by integrating BigCommerce data with social media and event attendance.
  • Empowers artists with data-driven insights for targeted audience segmentation and outreach.
  • Offers A.I.-based recommendations for new merchandise, promotional strategies, and personalized discounts.
  • Helps enhance fan engagement and drive traffic to artists' BigCommerce storefronts.
  • Can ultimately foster a more dynamic and profitable connection between artists and their fans.

Cons

  • May require a learning curve to understand and effectively utilize data insights.
  • Dependence on accurate and up-to-date data from multiple sources (BigCommerce, social media, events).
  • Potential privacy concerns regarding the collection and use of fan personal data.
  • Effectiveness highly reliant on the quality of integration with existing BigCommerce and social media platforms.
  • AI recommendations may not always align with the unique brand or vision of the artist.

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