Decoding Homepage Video Backgrounds: What FAVBs Reveal About University Brand Storytelling
Tuesday, September 15, 2026, 3:45 PM - 4:30 PM CDT
Full-width, auto-playing video backgrounds (FAVBs) have rapidly become prominent “above-the-fold” real estate on higher education (HEI) homepages, replacing traditional banners and slideshows—yet they remain largely unexamined in the academic literature. This session presents a foundational content analysis of HEI homepage FAVBs to show what these videos communicate about university brand image (UBI) and how their sequencing and pacing shape interpretation.
Delivered as a talk with a lightweight methodological demo and audience discussion, we will walk through (1) how FAVBs were identified across a large set of HEI homepages, (2) how videos were programmatically split into scenes and then open-coded into a UBI-oriented thematic framework, and (3) what the resulting patterns imply for web and marketing teams who commission, edit, and deploy homepage video. The study analyzed 775 homepage FAVBs (from a curated set of 3,407 HEI homepages), programmatically segmented into 12,067 scenes, and coded into a set of UBI thematic codes (e.g., campus aesthetics, student life, teaching/training, research, athletics, value/success, brand marks, location, and more).
We’ll share key findings that are immediately actionable for brand and web strategy: FAVBs commonly assemble an implicit three‑act narrative (orientation to experience to achievement) and run at montage-like speed (average scene pace ~2.24 seconds), raising important questions about what viewers can actually absorb when FAVBs function as “background.” We close with a practical “design grammar” for composing (or revising) homepage FAVBs into modular story units: “place” hooks, “experience” vignettes, and “achievement” clips, that can be recombined across touchpoints (homepage, program pages, social stories) to reinforce UBI consistently.
Define what an HEI homepage FAVB is and why it functions as high-impact “front door” brand real estate.
Describe a replicable approach to analyzing FAVBs using a combination of programmatic scene segmentation and qualitative content analysis coding.
Apply a UBI-focused thematic code lens (e.g., campus aesthetics, student life, teaching/training, research, athletics, value/success, brand marks, location, etc.) to diagnose what their homepage video emphasizes—and what it omits.
Evaluate how sequencing tends to produce an implicit narrative arc (orientation → experience → achievement) and use that structure intentionally in future edits.
Assess pacing implications (e.g., montage-like average scene durations) and recognize when speed may enhance “vigor” versus undermine meaning-making.
Translate findings into an actionable “design grammar” for building modular story units that can be recombined across web and campaign contexts.
