Monthly visits split by channel share: Tryp.com lost 49K visits from Aug to Sep, with direct contributing 47%.
Monthly breakdown
Monthly visits by channel (estimated)
Channel
Jul
Aug
Sep
Total
610.9K
577.9K
528.9K
Direct
311K
318K
295.1K
Organic search
190.4K
176.1K
157.7K
Referrals
34.6K
28.8K
29.6K
Organic social
41.3K
31.3K
23.8K
Display ads
5.8K
6.1K
7.5K
Email
7.6K
5.9K
6K
Paid search
7.1K
8.5K
4.8K
Paid social
6.8K
1.3K
2.3K
Visit change by channel
Channel
Change barAug → Sep
Change
Share of change
Current share
Direct
−22.9K
47%
55.8% ↑0.8pp
Organic search
−18.4K
38%
29.8% ↓0.7pp
Organic social
−7.5K
15%
4.5% ↓0.9pp
5 other channels
−435
0.9%
9.5% ↑0.7pp
02 · What you can borrow
Tryp.com SEO Keywords, Sitemap Pages & AI Referrals
Tryp.com’s acquisition moves across pages, search terms and AI referrals, each with its data source.
Pages · daily Sitemap diff — 11 pages added in 1 days
This directory added 11 and removed 0 URLs. This only reflects pages added and removed in this scan, not that the directory had no earlier pages. Routes: /about, /blog, /feedback, /giftcard, /help, /holidays, /manage-booking, /oneways, /partners, /privacy, /terms-and-conditions.
Borrow: Generate pages of this kind from data you already have to capture long-tail search.
Above is what we observe automatically. The reconstruction starts from these moments, searches launches, community threads, directory listings and backlinks from the same period, fills in what Tryp.com did at each step, and gives you a sequence to follow.
Promotion timeline with original sources
Traffic before and after each channel
Exportable launch action list
Unlock Tryp.com’s promotion research & launch action pack
Review launch channels, backlink evidence and marketing milestones, then export your action checklist. A one-off purchase includes permanent access and regeneration for this product.
Each product uses its latest observed month; different months are not a same-period ranking.
Know the next time Tryp.com 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.