Social Voice-of-Customer — Ga Tiktok

99 relevant TikTok records · 51 brand-mentioning · generated 2026-06-25

Separate bucket. This is ambient social/forum voice (TikTok), a fundamentally different speech genre from solicited reviews — it is never ranked against the review report. Share-of-Voice measures presence, not sentiment. Brand attribution is in-text with abstain; single-mention attributions are within attribution noise.

Share of Voice — who owns the recent organic conversation

0.0%
Graduation Alliance is absent from the recent organic TikTok conversation (0 of 51 brand mentions in the trailing 18 months). Competitors own the word-of-mouth in the communities where this category is decided.

Share of the brand mentions across 51 recent brand-mentioning records (denominator = 51 total recent brand mentions; a comparison post counts once per brand). Trailing 18 months. Presence, not sentiment.

Learn4Life
68.6%
n=35 recent · 35 all-time · CI 55%–80% · tiktok
Grad Solutions
31.4%
n=16 recent · 16 all-time · CI 20%–45% · tiktok
Graduation Alliance ← CLIENT
0.0%
n=0 recent · 0 all-time · CI 0%–7% · tiktok
Ahsa
0.0%
n=0 recent · 0 all-time · CI 0%–7% · tiktok ≈ tied (overlapping confidence)
Chancelight
0.0%
n=0 recent · 0 all-time · CI 0%–7% · tiktok ≈ tied (overlapping confidence)
Capture-recall caveat. Share-of-Voice measures who we captured more of — not necessarily who is discussed more. If our capture recall differs by brand, this over- or under-states a brand's true conversation share; the confidence band reflects sampling noise only, not capture bias.

Category discourse — the bigger story

48% of relevant posts (48 of 99) name no brand at all — pure category conversation — the questions, problems, and trade-offs buyers weigh. This is the unmet-needs space buyers discuss before choosing a brand.

Category-pain map — what the community actually discusses

Aspect prevalence across relevant posts in the reporting window (the 21-aspect social taxonomy, discovered from this corpus). category = problem-space / shopping behaviour; product = product experience. Click to read posts (evidence highlighted).

70% of aspect mentions are social-only themes a review funnel structurally can't capture (where-to-buy, dupe-hunting, social proof, price-seeking, sustainability). This is the differentiated intelligence in the ambient bucket.
Flexible decision_factorreviews miss this21% of posts · 5% negative · n=21
Supportive Coach decision_factorreviews miss this18% of posts · 6% negative · n=18
Free decision_factorreviews miss this7% of posts · 0% negative · n=7
Life Circumstance barrier6% of posts · 67% negative · n=6
Job Career trigger5% of posts · 0% negative · n=5
Too Old objectionreviews miss this5% of posts · 40% negative · n=5
Fast decision_factor3% of posts · 0% negative · n=3
Fail Again Fear objectionreviews miss this3% of posts · 33% negative · n=3
College Nursing trigger2% of posts · 0% negative · n=2
Legal Life Event trigger2% of posts · 0% negative · n=2
Mental Health barrier2% of posts · 50% negative · n=2
Bullying Social barrier2% of posts · 100% negative · n=2
Is It Legit Accepted objectionreviews miss this1% of posts · 0% negative · n=1
Cost Fear objectionreviews miss this1% of posts · 100% negative · n=1
Employer College Accepted decision_factorreviews miss this1% of posts · 0% negative · n=1
Behind On Credits barrier1% of posts · 100% negative · n=1
For My Kid trigger1% of posts · 0% negative · n=1

By brand — read the mentions

Most-upvoted (salience-ranked) attributed mentions per brand; the evidence span that drove attribution is highlighted. Click to expand.

Learn4Life n=35
Grad Solutions n=16
Graduation Alliance n=0 — no recent mentions
Ahsa n=0 — no recent mentions
Chancelight n=0 — no recent mentions
How to read this. Every number is computed in SQL over the governed metric_social_sov / social_brand tables (the model never generates figures); each brand expands to the verbatim posts (evidence span highlighted) behind it, linked to the source thread.
Window & lanes. Headline comparison = trailing 18 months; full history is retained (excluded from the comparison only, never deleted).
Limitations. TikTok capture was brand-seeded (the captured SET is a seed artifact); comment context is not yet used (standalone classification); SOV is presence-only. Single-mention attributions are within attribution noise.