Check links for fake clicks: Mobzio analyzes IP, User-Agent and conversion patterns and shows cheating risk level - right in the deep link statistics.
A blogger, contractor or competitor can increase conversions - you pay for “coverage”, but there are no orders. Conventional analytics counts everything.
Thousands of “transitions” per hour - but not a single order. Without verification, it is difficult to demand a recalculation.
Bots and preview crawlers drive clicks. CTR in the advertising account is not equal to real people.
Suspiciously monotonous traffic - when the numbers in the report do not compare with real orders.
In the statistics of each deep link there is a button “Check for cheating”. The service analyzes transitions for the selected period and shows risk level with explanation - without manually parsing tables.
Deep link statistics
The button is available in the statistics section of the link in mobz.io/app
We don’t publish the entire algorithm - otherwise it’s easier for them to adjust. In the office you see summary and explanations, and not a crude checklist to bypass.
Unnatural activity: too many referrals from the same sources.
Same type User-Agent and technical crawlers - we separate “live” traffic from bots.
Sharp spikes and time anomalies - when there are a lot of clicks, but no orders.
We compare the volume of transitions with the number of unique sources - farms often “shine”.
Final level: low, medium or high - with an explanation in the office, without manual parsing of logs.
In statistics switch "All transitions" / "Unique" Counts only the first click from each IP for the period. This way you see real coverage, and not fake repetitions.
Full log - including repeat clicks, bots and previews. Needed for detailed checking of cheating.
One IP = one hop. An honest metric for reporting to bloggers and comparing channels.
When matching clicks with orders, the WB API Mobzio cuts off technical traffic so that attribution is more accurate.
Crawlers, messenger preview bots and search robots do not mix with “live” transitions during analytics.
Transitions without normal geolocation and sources that are clearly “foreign” to your audience are cut off when compared with orders.
External traffic analytics Wildberries · General analytics of external traffic
Check scoring and unique conversions with the agreed KPI - before transferring money.
A sharp increase without orders is a reason to check the link and posting period.
A report with scoring and a list of positives is an argument in negotiations.
This is checking deep link transitions for signs of fake traffic and the mode of unique transitions. The algorithm is being updated - details are available only in the account of the link owner.
In your account mobz.io/app → statistics of a specific link → “Check for cheating” button (β). Works for links with accumulated clicks.
This is a signal that some of the traffic looks unnatural: many transitions, little real effect. The exact reasons and recommendations are in the inspection report in the account, not on the website.
“Unique” counts only the first click from each IP for the period. “All transitions” - full log, including repetitions and bots. To check cheating, both modes are needed.
Yes. Separate deep link for placement + checking for cheating + unique transitions + WB API orders - the complete picture. Blogger analytics.
Deep links, analytics and link checking - in one Mobzio account.
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