Audience intel · derived from 294 classified Reddit posts
Who's out there.
We're still pre-launch — but the social signal layer already tells us what topics our future audience cares about, which brands they recommend, and where the conversation gaps are. Use this to inform content strategy before we have our own list to learn from.
Build targets
Email list size
0 / 2,000
Instagram followers
0 / 3,000
TikTok followers
0 / 1,500
Conversation sentiment
294 classified Reddit posts in our intel layer. The mix shifts the messaging we should use.
positive: 23neutral: 242mixed: 9negative: 20
What they're talking about
| Topic | Posts | Total upvotes | Avg upvotes | Sentiment mix |
|---|---|---|---|---|
| Other | 112 | 5,452 | 49 | |
| Fit feedback | 84 | 2,372 | 28 | |
| Quality / durability | 32 | 383 | 12 | |
| Silhouette / fit | 29 | 2,910 | 100 | |
| Brand discovery | 20 | 321 | 16 | |
| Price discussion | 12 | 1,334 | 111 | |
| Sustainability | 5 | 79 | 16 |
Brand mentions in the audience conversation
Which brands our future audience is already recommending. These are the brands we're positioned against — and the lookalikes we can target for paid acquisition.
| Brand | Mentions | Upvote reach |
|---|---|---|
| suit supply | 2 | 5 |
| lululemon | 2 | 6 |
| sperry | 1 | 0 |
| todd snyder | 1 | 2 |
| johnston murphy | 1 | 2 |
| balenciaga | 1 | 0 |
| buck mason | 1 | 0 |
| thursday boots | 1 | 1 |
| joseph abboud | 1 | 1 |
| bylt | 1 | 9 |
| asket | 1 | 21 |
| bonobos | 1 | 72 |
| gitman vintage | 1 | 8 |
| goyard | 1 | 2 |
| reiss | 1 | 54 |