Data updated Oct 12, 2026
Hoop is a subscription retention tool that helps brands retain more customers at the point of cancellation by running custom conversational save flows in their brand voice.
How the growth happened
Monthly visit estimates · 2026-04 — 2026-09 · DR 33, flat
Sep 2026
Monthly visits split by channel share: Hoop lost 7.6K visits from Aug to Sep, with display ads contributing 100%.
| Channel | Last 4 months | Change barAug → Sep | Change | Share of change | Current share |
|---|---|---|---|---|---|
| Display ads | −9.3K | 123% | 3.8% ↓48.3pp | ||
| Paid search | −520 | 6.9% | 1.7% ↓2.1pp | ||
| Paid social | +26 | -0.3% | 0.8% ↑0.5pp | ||
| 5 other channels | +2.1K | -28% | 90% ↑47.8pp |
What you can borrow
Hoop’s acquisition moves across pages, search terms and AI referrals, each with its data source.
| Keyword | Traffic | CPC | Rank |
|---|---|---|---|
| hoopBrand | 60 | $0.90 | 1 |
| pree audit retentionNon-brand | 50 | — | 2 |
| hoop;Brand | 20 | — | 3 |
| hoopeUnclassified | 10 | $0.79 | 4 |
| hoop appBrand | 10 | $2.10 | 5 |
Borrow: Search traffic is mostly branded, riding existing awareness; the non-brand needs it does not cover are open to you.
We diff its public Sitemap daily. Bulk launches or removals will appear here and alert watchers.
0 visits from AI assistants (previous month 41), 0% of all traffic.
Borrow: No need to follow yet; watch whether it scales next month.
Full growth history
What did Hoop do at each step?
Unlock Hoop’s launch posts, community threads and new backlinks, plus a launch checklist you can copy.
Monthly visits 18.7K → 11.1K
Observed eventWhere it launched and who talked about it
Visible after unlockingWhere the new backlinks came from
Visible after unlockingA launch sequence you can copy
Visible after unlockingSame-market benchmark
Sep 2026 · Customer Support
Each product uses its latest observed month; different months are not a same-period ranking.
Know the next time Hoop ships pages in bulk
We diff its Sitemap, backlinks and traffic daily and alert you only on real changes.
Method: visits and channel shares are third-party monthly estimates; channel change = monthly visits × channel share, month over month; site actions and traffic are shown by timing only, not as cause and effect.
