ProgramsIntegrated Project Management Capstone Course (BMIS476 - Fall 2025)ProjectsOptimizing Influencer Campaigns with AI

Project Title: Optimizing Influencer Campaigns with AI

Iconically

Details
Project Title Optimizing Influencer Campaigns with AI
Project Topics Artificial Intelligence & Machine Learning Customer Service & Account Management Data Management Digital Marketing Entrepreneurship Growth Strategy Information Technology (IT) Innovation Market Research Marketing Mergers & Acquisitions Operations Product Design & Development Quality Control Research & Development Research, Analysis, Evaluation Sales & Business Development Software Design & Development Talent Management Technology Commercialization Training & Development UX/UI & Human-Centered Design
Skills & Expertise C++ Data Collection Engineering Analysis Python Rapid Prototyping Statistics
Project Synopsis: Challenge/Opportunity
Iconically stands out as a pioneering Black-owned influencer marketing tech platform that champions creators, especially Black and Brown influencers, by eliminating traditional gatekeeping in brand collaborations. This innovative approach allows influencers to negotiate better deals and secure meaningful opportunities. However, the company faces a significant challenge in optimizing the visibility and effectiveness of influencer-generated content. Currently, with an influx of content from numerous creators, it becomes difficult for brands and influencers to identify the most impactful pieces to promote, leading to missed opportunities and suboptimal ROI.
Project Synopsis: Activities/Actions Required
  1. Students will engage in a series of key activities to develop the Content Boosting and Campaign Optimization Engine.
  2. Initial phases will include extensive research on influencer performance metrics and brand engagement signals, utilizing historical data to identify patterns.
  3. Students will employ data analysis techniques, including regression analysis and clustering, to develop predictive models that recommend which influencer content to promote.
  4. They will also utilize Agile methodologies, conducting regular sprints to iterate on their solutions and receive feedback from industry partners.
  5. Deliverables will include a prototype of the optimization engine, documentation on the algorithms developed, and a final presentation showcasing their findings and recommendations.
Project Synopsis: Expected Results
  • The expected outcomes of this project include the successful development of a machine learning-based Content Boosting and Campaign Optimization Engine, which will provide actionable insights for brands and influencers.
  • Students will enhance their skills in AI, machine learning, and data analysis, gaining practical experience that aligns with industry requirements.
  • SMART goals for the project include completing initial research and data collection by the end of month one, developing predictive models by month two, and delivering a fully functional prototype by the end of the capstone.
  • Ultimately, this project will deliver significant business value to Iconically by enhancing the effectiveness of influencer marketing campaigns and improving ROI for both creators and brands.

Project Timeline

Touchpoints & Assignments Date Type

Student Teams Finalized

 Aug 28 2025 Event

Students Select Project Preferences

 Sep 04 2025 Event

Students Introduced to Industry Partners to Schedule Kickoff Meeting for Next Week

 Sep 17 2025 Event

Submit Project Charter (For Industry Approval)

 Sep 23 2025 Event

Negotiate and Sign NDA if required

 Sep 23 2025 Event

Industry Temperature Check 1/3

 Sep 26 2025 Evaluation

Student Temperature Check 1/3

 Sep 26 2025 Evaluation

Student Temperature Check 2/3

 Oct 31 2025 Evaluation

Industry Temperature Check 2/3

 Oct 31 2025 Evaluation

System Design Document

 Nov 04 2025 Event

Agile Development Meetings with Project Sponsor

 Nov 07 2025 Event

Student Temperature Check 3/3

 Nov 21 2025 Evaluation

Industry Temperature Check 3/3

 Nov 21 2025 Evaluation

Final Presentation

 Dec 05 2025 Event

Industry Project Feedback Form

 Dec 12 2025 Evaluation

Final Project Report and Hand-off

 Dec 12 2025 Event

Program Managers

Name Organization
Clayton Looney University of Montana