Data updated Oct 30, 2026
TripIt is a travel itinerary app and trip planner that organizes your vacation plans automatically.
How the growth happened
Monthly visit estimates · 2026-05 — 2026-09 · DR 77, flat
Sep 2026
Monthly visits split by channel share: TripIt lost 60.9K visits from Aug to Sep, with referrals contributing 33%.
| Channel | Last 3 months | Change barAug → Sep | Change | Share of change | Current share |
|---|---|---|---|---|---|
| Referrals | −19.9K | 33% | 4.8% ↓1.3pp | ||
| −15K | 25% | 6.3% ↓0.8pp | |||
| Organic search | −10.2K | 17% | 15.4% ↓0.1pp | ||
| 5 other channels | −9.7K | 16% | 72.8% ↑2.6pp |
What you can borrow
TripIt’s acquisition moves across pages, search terms and AI referrals, each with its data source.
| Keyword | Traffic | CPC | Rank |
|---|---|---|---|
| tripitUnclassified | 65.2K | $1.20 | 1 |
| tripit loginUnclassified | 2.7K | — | 2 |
| trip itUnclassified | 2.6K | $1.15 | 3 |
| trip itineraryUnclassified | 970 | $2.03 | 4 |
| tripNon-brand | 590 | $0.87 | 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.
189 visits from AI assistants (previous month 1.7K), 0% of all traffic.
Borrow: No need to follow yet; watch whether it scales next month.
Full growth history
What did TripIt do at each step?
Unlock TripIt’s launch posts, community threads and new backlinks, plus a launch checklist you can copy.
Where 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
Each product uses its latest observed month; different months are not a same-period ranking.
Know the next time TripIt 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.
