Aktualizácia: V komentároch som bol upozornený, že môj návod nefunguje, resp. funguje iba tak, že presunie spam traffic z referralu do directu. Riešením je použiť filtre, odporúčam tento skvelý nástroj mareklecian.cz/spamfilter.
V poslednej dobe v Google Analytics zaznamenávam výrazné výkyvy v návštevnosti. Je to spôsobené tým, že mi niektoré weby posielajú návštevnosť. Prečo mi tieto zdroje posielajú návštevnosť je v rámci článku irelevantné a nebudem ho rozoberať. Efekt je však nepríjemný, proste nevidím reálne dáta, ale skreslené dáta (keďže sa nejedná o skutočnú návštevnosť). Keďže som to spozoroval na xy weboch, predpokladám, že sa jedná o globálny problém a týka sa aj vás. Ako tomuto problému predísť?
Google Analytics ponúka možnosti filtrovania zdrojov návštevnosti (sprostredkovania):
- V Google Analytics si vyberte účet svojho webu
- V stĺpci Vlastníctvo prejdite cez Informácie o sledovaní na Zoznam vylúčených sprostredkovaní
- Kliknite na tlačítko Pridať vylúčenie sprostredkovania a zadajte doménu, z ktorej návštevnosť chcete ignorovať
postup ako blokovať nežiaducu návštevnosť v Google Analytics – 1
postup ako blokovať nežiaducu návštevnosť v Google Analytics – 2
Ktoré referraly blokovať?
Určite tie, ktoré vidíte medzi v sekcii Akvizícia -> Všetka návštevnosť -> Kanály -> Referral a je evidentné, že nemajú s vaším webom nič spoločné a nemajú vám prečo posielať návštevnosť.
U mňa to sú v súčasnosti najčastejšie tieto zdroje:
- copyrightclaims.org
- snip.to
- get-your-social-buttons.info
- floating-share-buttons.com
- get-free-social-traffic.com
- alibestsale.com
- rankings-analytics.com
- free-floating-buttons.com
Časom sa tieto zdroje určite obmenia, takže si budete musieť pridať iné URL.
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This is a critical reminder about data hygiene. In any industry, accurate attribution is paramount. Filtering spam traffic in GA is essential, but remember that clean data is needed everywhere-from marketing funnels to reliable gaming platforms like 86jl ph download apk. Good data integrity drives better business decisions.
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This is a crucial point on data hygiene. Over-reliance on raw GA data without filtering can skew strategic decisions. It highlights that even when analyzing complex metrics, establishing reliable user authentication (like ensuring a secure jilliph login) is foundational to accurate insights. Excellent advice on using custom filters!
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Ahoj, ten návod v článku moc nepomůže, takto se tato návštěvnost z referalu dostane do directu.
Řešilo se to u nás zde: http://404m.com/2015/05/14/jak-se-zbavit-referrer-spam-v-google-analytics/
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Pro úplné vyloučení lze použít jeden ze tří způsobů:
1) Filtr v google analytics podle domény
2) Vlastní segment, který vyloučí návštěvy z těchto domén podle zdroje
3) Rozšířený filtr, který vyloučí návštěvy opět podle zdroje.
Ad 1 Přes filtry je šikovný nástroj od Marka Leciána zde
https://mareklecian.cz/spamfilter/
Ad 2 Segment Marek taky vytvořil https://mareklecian.cz/chcete-jednoduse-vycistit-historicka-data-v-google-analytics-od-referral-spamu/