Our reports are a comprehensive and valuable source of analytical information on your affiliate campaigns performance and traffic quality. You can use reports to evaluate traffic quality of different sources, publishers, ad spots, etc. Reports come in two flavors: raw and aggregate.
Please note that statistical data is not real-time and is updated once every minute.
Raw reports are per-click, that is, they contain information on every click that was processed by Adspect. They are available for download in the CSV format via the “Get CSV” button menu. There you have two options: get full report or only for those visitors that were filtered by Adspect because of triggering one of more checks. Report will be limited by the selected date range. Downloaded CSV files may then be imported into Microsoft Excel or similar spreadsheet software.
Please do not select too broad date ranges as it will lead to the formation of huge CSV files and additional strain on our servers. We limit the total number of rows that will be included in report, and this limit is subject to change at the sole discretion of our systems administrators.
Raw Report Columns¶
Raw reports can have either one or two rows per each click. The first row corresponds to serving of our fingerprint collector script for the client browser to execute. The second row, if present, corresponds to fingerprint scanning and making the decision: allow or block. The second row may be missing if the visitor failed to produce or submit a fingerprint.
Raw reports consist of the following columns:
- timestamp – date and time of the event;
- ip_address – IP address of the visitor in IPv6 format (IPv4 addresses are represented via standard IPv4-to-IPv6 mapping);
- stream_id – ID of the stream that the event happened in;
- country_code – ISO 3166-1 alpha-2 country code of the visitor;
- os – name and release of the visitor’s operating system;
- browser – name of the visitor’s browser;
- cost – cost of the click, if passed via URL parameter;
- sub_id – sub ID of the click, if passed via URL parameter;
- click_id – unique ID of the click, if passed via URL parameter;
- mode – stream mode at the moment of the event;
- sequence – click processing stage: 0 for fingerprint collecting, 1 for fingerprint scan;
- valid – 1 if the click has been allowed through, 0 otherwise (meaningful only if sequence = 1);
- tags – list of mnemonic tags, mostly for internal use, that represent particular filtering reasons.
The exact nature of click tags is a trade secret–we do not disclose our filtering techniques. However, we do give out information about some of them that can be used as proofs of bot traffic (e.g. for demanding refunds from ad networks) or for debug purposes:
WHITE– decision made by customer via stream mode;
BROWSER– decision made by customer via stream targeting;
IP*– IP address blacklisted by us: proxies, VPN and hosting providers, antivirus companies, ad scoring companies, security companies, known moderator origins, etc;
IPSB– IP address blacklisted by the stream blacklist;
GENBOT– visitors with user agents that identify them as bots;
EMU– clicks from known device emulators and virtualized environments;
IPTZ– visitors blocked by manual stream filters;
UARE– visitors whose user agent matched customer-supplied regular expression;
REF– visitors whose referer matched customer-supplied regular expression.
Aggregate reports are produced by splitting raw reports into groups and summing metrics on per-group basis. Grouping may be set set in the field to the left of the timezone selector and defaults to “Stream”, meaning that values will be computed on per-stream basis. Other grouping options include “Date” for per-date grouping and “Sub ID” for per-subaccount grouping (refer to this paragraph for an idea of what may constitute a subaccount.)
Grouping may be nested, e.g. “Date” followed by “Stream”–this will result in first splitting reports by date, and then by stream on each date. You may combine grouping criteria in any way you need to inspect different funnels.
Press the “Get Report” button to produce an aggregate report in the form of a table that will be displayed to you right below the report settings panel.
In addition to browsing reports in our clients area you can also download them in the CSV format using the gray “CSV” button in the bottom left corner of the report window.
Aggregate Report Columns¶
Each aggregate report consists of the grouping columns on the left site followed by a number of statistical columns. Some of the statistical columns have a gray percentage value following a slash–that is percentage of the total clicks, displayed for more comprehensivess.
The list of statistical columns, explained:
- Clicks – the total number of clicks that accessed the
- Uniques – approximate number of unique visitors are per uniqueness of their IP addresses.
- Money hits – how many visitors have been shown the money page. This is the best metric for accounting legitimate traffic. Please note that this also includes all visitors when the stream works in the “All money” mode.
- SIVT – sophisticated invalid traffic, that is, the number of fingerprints that Adspect consciously filtered out as bad traffic. This may serve as a rough traffic quality metric with respect to the more advanced types of click fraud that get more spread today. This metric also includes visitors blocked by manual stream filters (country, OS, browser, regular expressions, IP address blacklist.)
- Cost – total traffic cost computed as a sum of costs of each click, if passed via URL parameter.
- Bots cost – cost of the traffic that was directed to the white page, which is the precise metric of your budget loss.
- Quality – percentage of money hits in the whole click volume. This is the the best metric for evaluating traffic quality as a whole and may be used to compare different traffic sources, publishers, ad spots, etc. Especially useful with grouping by sub ID for compiling blacklists of bot-ridden zones, as described in a dedicated parapgraph.
There’s also the “CSV” button in the bottom left corner of the report box. You can use it to download CSV versions of aggregate reports for further analysis, printing, or sharing.