Monthly visits split by channel share: Snappr lost 62 visits from Aug to Sep, with direct contributing 100%.
Monthly breakdown
Monthly visits by channel (estimated)
Channel
Jul
Aug
Sep
Total
267.6K
318.9K
318.9K
Direct
127.7K
165.1K
144.8K
Organic search
43.6K
48.8K
57.9K
Paid search
38.9K
42.2K
50.4K
Email
19.2K
20.8K
22.4K
Display ads
9.3K
13.4K
15.1K
Referrals
18K
14K
13.6K
Organic social
9.7K
10.4K
11.3K
Paid social
539
3.4K
1.6K
Visit change by channel
Channel
Change barAug → Sep
Change
Share of change
Current share
Direct
−20.2K
32,660%
45.4% ↓6.3pp
Paid social
−1.8K
2,890%
0.5% ↓0.6pp
Referrals
−398
642%
4.3% ↓0.1pp
5 other channels
+21.3K
-34,323%
49.2% ↑6.7pp
02 · What you can borrow
Snappr SEO Keywords, Sitemap Pages & AI Referrals
Snappr’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: /best-photographers/burlington-nc, /best-photographers/montpellier-fr.
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 Snappr 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 Snappr’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 Snappr 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.