VIIReportsAnalytics
VII
Chapter 2

Analytics

Break all your campaigns down by up to two details, filter them, and find what makes money.

This page shows you how to use Tracker → Analytics to answer questions across all your campaigns, such as which spots lose money, which lander wins with each offer, or which hours are worth paying for.

Analytics splits every visit in the date range by up to two details, such as offer and country, and shows the numbers for each group. Filters narrow it down to the visits you care about, such as one traffic source or one country.

Analytics covers every campaign in your account at once. To look inside a single campaign, use the campaign's own page. See Campaign Reports.


The controls

The Controls card with Timezone set to New York, the Date Range 12 Oct to 18 Oct 2026, Group By set to Campaign ID, Filter 1 set to Device Type is any of Mobile and Tablet, Filter 2 empty, Apply Filters, and Add filter
Every campaign, mobile and tablet visits only
ControlWhat it does
TimezoneWhen each day and hour starts. It defaults to New York time and is remembered on your other screens.
Date RangeThe visits to include. Use a preset, such as Last 7 Days, or set exact start and end times. This Week starts on Sunday.
Group ByHow to split the rows. Pick up to two. See Group By.
Filter 1, Filter 2Which visits to include. Click Add filter for up to four. See Filters.
Apply FiltersRuns the report. Nothing changes until you click it.

When you open Analytics, it shows one row of totals for the date range you used last.


Group By

Pick one grouping to get a row for each value, such as a row for each offer. Pick a second grouping to split each of those rows again, such as each offer in each country. With nothing picked, Group By reads All Data and the report shows one row of totals.

The groupings appear as 1. and 2. in the field. Click × on one to remove it. Type in Search fields... to find a grouping fast.

Daily, Hour of Day, and Day of Week work on their own. Once you pick one, you can't add a second grouping, and once you pick another grouping, they leave the list.

KindGroupingOne row for each
Your setupCampaign IDCampaign
Campaign Group, Campaign CountryCampaign group, or the country you set on the campaign
Lander ID, Offer ID, Offer GroupLander, offer, or offer group
Traffic Source ID, Offer Source IDTraffic source or offer source
Combination ID, Rule ID, PathCombination, rule, or lander and offer path inside a combination
Your own valuesCustom Token 1 to 3Value the custom token recorded. See Custom Tokens.
V1 to V10Value your traffic source passed in that variable. See V1 to V10.
TimeDaily, Hour of Day, Day of WeekDay, hour from 00:00 to 23:00, or weekday
LocationCountry, Continent, Region, City, Postal CodeWhere the visitor was
Timezone, Language, Language (Full)Visitor's timezone and browser language
DeviceDevice Type, Device, Is MobileMobile, desktop, or tablet, the device model, or a Yes or No for phones and tablets
OS, OS Version, Browser, Browser VersionOperating system and browser
NetworkISP, IP, Connection TypeInternet provider, IP address, or Wi-Fi, carrier, or datacenter. See Connection Type.
ReferrerPage the visitor came from

V1 to V10

V1 to V10 hold the values your traffic source fills in on each visit, such as the spot, zone, or site the ad ran on. They are where you find the placements that make or lose money.

If you used a traffic source template, the variables hold these values:

VariableTrafficJunkyTrafficStarsExoClick
V1Banner NameCampaign IDCampaign ID
V2SiteCreative IDCreative ID
V3Bid ValueSpot IDSite Name
V4Spot NameSpot NameSite ID
V5Campaign IDSite IDZone ID
V6Ad NameSite HostCategory ID
V7Ad IDCategoryCountry
V8Bid IDKeywordsKeyword
V9Spot IDReferrerTags
V10Banner IDDevice TypeLanguage

If you set up the traffic source yourself, each variable holds whatever you mapped to it. See v1 to v10.

Analytics labels them V1 to V10. A campaign's own Analytics tab shows the names you gave them on the traffic source.

Connection Type

Connection Type splits visits by the kind of network the visitor was on:

ValueMeaning
Wi-FiHome or office internet
CarrierMobile data
DatacenterCloud servers and VPNs. This is often bot traffic.
UnknownA network Proferex can't label yet

Filters

A filter keeps only the visits that match it. Each filter has a field, an operator, and a value. Filter 1 and Filter 2 are there from the start. Click Add filter for a third and a fourth, and click × to remove those.

The operator menu of Filter 1 open, with Equals, Not Equals, Is any of, Contains, and Contains (case-insensitive)
The five operators
OperatorShown asKeeps visits where the fieldExample
Equals=Is exactly the valueOS = iOS
Not Equals≠Is anything but the valueCountry ≠ US
Is any ofinMatches one of several valuesDevice Type in Mobile, Tablet
ContainshasIncludes the text, with the same capitalsV4 has Footer
Contains (case-insensitive)i~Includes the text, in any capitalsCampaign Name i~ us - mobile

How values work:

  • For fields with a known list, such as Country, Continent, Device Type, OS, Browser, Language, Timezone, Connection Type, and Is Mobile, Is any of gives you a list to pick from. Pick as many as you need.
  • Campaign Group, Offer Group, and Campaign Country always use Is any of with a list.
  • For every other field, type the value. With Is any of, separate the values with commas, such as 2481930, 2477382.
  • Country, device, OS, browser, language, timezone, and connection values match in any capitals.

You can filter by any field you can group by, except Daily, Hour of Day, and Day of Week. You can also filter by name: Campaign Name, Lander Name, Offer Name, Traffic Source Name, Offer Source Name, Combination Name, and Rule Name. Name filters start on Contains (case-insensitive), so part of a name is enough.

A visit must match every filter to be counted. A filter with no value is ignored.

A filter doesn't add a grouping. To see a row for each value, add the field to Group By as well.


Read the results

The line under Results says how many rows there are, what they are grouped by, and which filters apply. It always describes the report you last ran, so after changing the controls, click Apply Filters to update it. If no visits match, it says No results found.

  • Total is the last row. It adds up every row and works out CTR, CR, ROI, and the rest from those totals.
  • Type in Search all columns... to show only the rows that match, such as one spot ID. Total then adds up only those rows.
  • Click a column heading to sort by it, and click again to reverse the order.
  • Columns hides columns for this visit. To change the columns for good, see Table Columns.
  • Rows per page shows 10, 25, 50, or 100 rows at a time.

Daily, Hour of Day, and Day of Week list every day or hour in the range, including those with no visits, so gaps show as rows of zeros.

Names and the hover card

Campaigns, landers, offers, traffic sources, combinations, and offer sources show their name in blue with their ID underneath. Click a name to open its page. See Detail Pages.

Hover over a name to copy its name, ID, or URL. Edit opens its settings in place, and Details opens its page in a new tab.

Hovering over the campaign Push - US - Mobile in the results shows its name, ID, and campaign URL with copy buttons, and Edit and Details links
Hover over a name for its ID, URL, and links

Special values

You seeMeaning
-The visit had no value for this field, such as a V your traffic source didn't fill in, or a visit no rule matched
No OfferVisits that never went on to an offer, such as visitors who left the lander, or conversions recorded on the lander
(Unassigned)Campaigns or offers with no group
A faded name with (deleted)Something you deleted. Its past numbers stay in your reports.
Deleted / MissingVisits whose campaign, lander, or offer no longer exists, added up in one row

Examples

Each example names the settings to use, then how to read the result and what to change. They follow the order to optimize in: offer, ads, lander, targeting, and hours last. See Optimization.

Find which offer pays in which country

  • Group By: Offer ID, then Country
The Analytics screen grouped by Offer ID and then Country, with rows such as iPhone Sweepstakes US in US and in CA, Dating SOI DE in DE, and Keto Diet UK in GB
Each offer, split by country

The offer decides more than anything else whether a campaign can make money, and an offer that pays in one country can lose in another. Look for the same offer on several rows with different ROI, and use it to pick the offer for each country.

Run one campaign per country, each with the offer that pays best there. Countries perform too differently to share one campaign's ads, bid, and placements. See Optimization.

Find the ads that convert

  • Group By: V2, the TrafficStars or ExoClick creative ID. On TrafficJunky, use V1, the banner name.
  • Filter 1: Campaign Name i~ Push - US - Mobile
V2VisitsCTRCREPVROI
884123,21028.41%5.37%$0.2398.30%
884192,46024.11%4.89%$0.1871.20%
884332,89031.21%0.89%$0.04-64.10%

Ad 88433 sends the most visitors through the lander, but almost none of them convert, so its message doesn't match the offer. Pause it at your traffic source, and test new ads built on what 88412 promises. Ads are one of the strongest levers you have, so keep a test running against the winner.

See which lander wins with each offer

  • Group By: Lander ID, then Offer ID
Analytics grouped by Lander ID and Offer ID. Spin Wheel - US with iPhone Sweepstakes US has a 28% CTR and 141.77% ROI, while Quiz - US with the same offer has a 17% CTR and 22.63% ROI, and Quiz - US with Samsung Sweepstakes US loses 21.22%
Each lander and offer pair

Spin Wheel - US sends 28% of its visitors on to iPhone Sweepstakes US, and Quiz - US sends 17% to the same offer. The conversion rates are close, so the extra clicks are what makes Spin Wheel's 141.77% ROI against Quiz's 22.63%. With Samsung Sweepstakes US, Quiz loses money.

To act on it, open the combination and give Spin Wheel - US more weight, or remove the Quiz and Samsung path. See Weight.

Find the spots that lose money

  • Group By: V9, the TrafficJunky spot ID
  • Filter 1: Traffic Source Name i~ TrafficJunky
  • Filter 2: Country in United States (US)
Analytics grouped by V9 and filtered to TrafficJunky in the US, with eight spots. Spot 2481930 made $333.20 profit at 118% ROI, while spots 2479114, 2477382, 2492078, and 2483315 lost money
Eight TrafficJunky spots in the US, last 7 days

Read it from the biggest spender down. With a $15 payout:

  • 2481930 spent $281.80 and made $615.00, a 118% ROI. Keep it, and consider raising the bid on it.
  • 2479114 spent $201.24 for six conversions, a 55% loss. It has had enough traffic to judge.
  • 2477382 spent $99.32, more than six payouts, with no conversions. Block it.
  • 2492078 spent $50.96 for two conversions, a 41% loss. Block it too.
  • 2483315 spent $21.32 with no conversions. That is less than two payouts, so give it a little longer.

Blocking the three losing spots that have spent enough would have saved $351.52 of the $902.42 spent. It would have cost eight conversions, and turned a 43% ROI into a 112% ROI. Block spots at your traffic source. On TrafficJunky, the campaign's API window has a Sources button that opens the campaign's spot list. See The API window.

Compare phones by operating system

  • Group By: OS
  • Filter 1: Device Type in Mobile, Tablet
OSVisitsCTRCRProfitROI
Android4,86023.40%5.10%$281.4096.50%
iOS2,12018.90%2.70%-$34.20-13.40%

The same offer that pays on Android loses money on iOS. Target Android only at your traffic source, or send iOS visitors to another offer with a combination rule on OS.

Compare Wi-Fi with mobile data

  • Group By: Connection Type
Analytics grouped by Connection Type. Wi-Fi made an 88.11% ROI, Carrier lost 21.33%, Datacenter had 310 visits with no conversions, and Unknown had 70 visits
The same traffic, by connection

Wi-Fi visitors convert at 3.33% and carrier visitors at 1.48%. Wi-Fi makes an 88% ROI and carrier loses 21%. Most traffic sources let you target Wi-Fi and carrier traffic separately, so split the campaign in two at the traffic source, or stop buying carrier traffic for this offer.

The 310 Datacenter visits cost $18.60 and never converted. Group by ISP with a Connection Type filter set to Datacenter to see which networks they came from, and block them at your traffic source if it allows.

Find the hours that lose money

  • Group By: Hour of Day
  • Filter 1: Campaign Name i~ Push - US - Mobile
Analytics grouped by Hour of Day for Push - US - Mobile, from 00:00 to 23:00. The hours from 23:00 to 07:00 lose money, apart from 06:00, and 18:00 to 21:00 make 145% to 184% ROI
One campaign, hour by hour

From 23:00 to 07:00 the campaign loses money in every hour but one, $67.20 over the week. From 18:00 to 21:00 it makes 145% to 184% ROI.

Stop buying the night hours in the campaign's schedule at your traffic source. Do this last, after the offer, ads, lander, targeting, and bid are right. Cutting hours trims a campaign that already works, but it rarely turns a losing campaign around on its own.

Set the Timezone to the one your traffic source schedules in, so the hours line up with the hours you pick there.

Spot a campaign going wrong

  • Group By: Daily
  • Filter 1: Campaign Name i~ Native - US - Mobile
DayVisitsCRProfitROI
Oct 18, 20261,0201.90%-$22.40-14.30%
Oct 17, 20261,0802.10%-$12.60-7.80%
Oct 16, 20269904.80%$64.8052.90%
Oct 15, 20261,0105.10%$72.3058.60%

The conversion rate halved on Oct 17 while visits stayed the same. That points at the offer or the postback, not the traffic. Group the same days by Offer ID to see whether one offer dropped, and check your affiliate network's stats for the same days. If they show conversions Proferex doesn't, see Why Numbers Differ.

Add up a group of campaigns

  • Group By: Campaign Group

If you put campaigns into groups, such as Push, Native, and Pop, one row shows each group's total. Add Campaign Country as the second grouping to see each format in each market.


Next step

Open one of your campaigns and break it down on its own page. See Campaign Reports.